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GetFreeCourses.Co-Udemy-2023 Become AWS SageMaker ML Engineer in 30 Days + ChatGPT
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GetFreeCourses.Co-Udemy-2023 Become AWS SageMaker ML Engineer in 30 Days + ChatGPT
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文件列表
21 - Day 16 XG-Boost Regression in Scikit-Learn/007 XG-Boost Algorithm Deep Dive (with examples).mp4
392.3 MB
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/003 Artificial Intelligence (AI) Vs. Machine Learning (ML) Vs. Deep Learning (DL).mp4
266.6 MB
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/005 Key Ingredients to Build Machine Learning Models.mp4
258.2 MB
14 - Day 10 Amazon SageMaker Data Wrangler/007 Normalization vs. Standardization (Feature Scaling in Machine Learning).mp4
256.6 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/009 Coding Task #3 - Train a Linear Learner Model in SageMaker.mp4
241.8 MB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/005 Data Sources and Types.mp4
220.7 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/006 Bias Variance Tradeoff.mp4
215.6 MB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/004 SageMaker Built-in XG-Boost Algorithm.mp4
200.8 MB
21 - Day 16 XG-Boost Regression in Scikit-Learn/017 Final Capstone Project Solution.mp4
191.6 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/004 AWS SageMaker Linear Learner Algorithm Overview.mp4
188.3 MB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/003 Intro to SageMaker.mp4
179.2 MB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/009 Identity and Access Management (IAM) & Multifactor Authentication (MFA).mp4
159.9 MB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/003 What is AWS & Cloud Computing Who Uses them What are their benefits.mp4
157.4 MB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/006 Invoke a Lambda Function Using Boto3 SDK.mp4
152.8 MB
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/004 Machine Learning The Big Picture.mp4
150.5 MB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/004 K Nearest Neighbors Algorithm 101.mp4
149.1 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/008 Coding Task 2 - Perform Data Visualization.mp4
142.6 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/010 Practice Opportunity #3.mp4
137.4 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/007 L2 Regularization (Ridge Regression).mp4
133.5 MB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/006 Coding Task #3 - Train a Linear Learner Model in SageMaker (Multiple Regression).mp4
131.7 MB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/004 Amazon SageMaker Autopilot.mp4
131.5 MB
14 - Day 10 Amazon SageMaker Data Wrangler/004 Data Wrangler 101.mp4
130.8 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/004 Data Visualization 101.mp4
128.1 MB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/005 Define a Lambda Function Using Boto3 SDK.mp4
127.8 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/004 Hyperparameters 101.mp4
127.6 MB
14 - Day 10 Amazon SageMaker Data Wrangler/017 Final Capstone Project - Solutions.mp4
121.6 MB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/008 Coding Task 4 - Deploy Trained SageMaker Built-in XG-Boost Algorithm.mp4
119.4 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/024 Final End of Day Capstone Project Solutions.mp4
115.6 MB
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/008 Elastic Compute Cloud (EC2) Deep Dive & Demo.mp4
114.8 MB
26 - Day 20 Hyperparameters Optimization in SageMaker/006 Coding Task 3 - Train an XG-Boost Algo (without Hyperparameters Optimization).mp4
110.0 MB
21 - Day 16 XG-Boost Regression in Scikit-Learn/005 What is Boosting.mp4
109.5 MB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/011 Final End-of-Day Capstone Project Solution.mp4
108.9 MB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/010 AWS SageMaker GroundTruth Demo Part 2.mp4
107.7 MB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/007 Demo Launch a Training Job in AWS SageMaker Console.mp4
106.5 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/006 Scikit-Learn Library Overview.mp4
105.1 MB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/009 AWS SageMaker GroundTruth Demo Part 1.mp4
104.2 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/011 Coding Task #4 - Deploy Endpoint.mp4
103.9 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/020 Final Capstone Project Solution Part 2.mp4
103.7 MB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/003 Exploratory Data Analysis (EDA) 101.mp4
103.4 MB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/004 Synchronous Vs. Asynchronous Invocations.mp4
101.9 MB
38 - Day 29 Lambda Functions Using AWS Console/005 AWS Lambda Functions 101.mp4
101.1 MB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/005 Coding Task #2 - Perform EDA and Visualization.mp4
100.3 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/008 L1 Regularization (Lasso Regression).mp4
100.0 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/015 Coding Task 4 - Train Models with AutoGluon.mp4
97.6 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/014 Final Capstone Project Solution.mp4
95.4 MB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/013 Coding Task 6 - Train SageMaker Built-in KNN Algorithm.mp4
93.6 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/021 Coding Task 8 - Plot Correlation Heatmaps, Displot and Pairplot.mp4
90.9 MB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/008 Coding Task 2 - Perform Exploratory Data Analysis.mp4
90.6 MB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/005 Jupyter Notebooks and SageMaker Studio Setup.mp4
90.6 MB
23 - Day 18 AWS SageMaker JumpStart/009 JumpStart Demo Part 4 - Invoke Endpoint.mp4
90.5 MB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/007 SageMaker Demo 4 - SageMaker Studio 101.mp4
90.4 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/013 Coding Task 5 - Train XG-Boost SageMaker.mp4
89.0 MB
26 - Day 20 Hyperparameters Optimization in SageMaker/011 Final Capstone Project Solution Part 1.mp4
88.5 MB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/012 Final Capstone Project Solution - Part 2.mp4
86.9 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/005 Hyperparameters Optimization Strategies.mp4
86.3 MB
26 - Day 20 Hyperparameters Optimization in SageMaker/008 Coding Task 5 - Perform HyperParameters Optimization in SageMaker.mp4
86.0 MB
21 - Day 16 XG-Boost Regression in Scikit-Learn/006 Ensemble Learning.mp4
85.9 MB
38 - Day 29 Lambda Functions Using AWS Console/004 Machine Learning Workflows 101.mp4
84.8 MB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/006 Coding Task 2 - Train SageMaker Built-in XG-Boost Algorithm - Part 1.mp4
84.4 MB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/007 SageMaker Autopilot Demo 3 - Candidate Notebooks & Model Deployment.mp4
84.3 MB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/010 Final Capstone Project Solution Part 2.mp4
83.5 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/016 Coding Task 7 - Correlations and Histograms.mp4
82.9 MB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/011 Final Capstone Project Solution 2.mp4
82.6 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/020 Capstone Project Solutions.mp4
81.7 MB
14 - Day 10 Amazon SageMaker Data Wrangler/013 Data Wrangler Demo 6 - Perform Custom and Feature Scaling.mp4
81.1 MB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/014 Final Capstone Project Solution Part 1.mp4
81.0 MB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/004 SageMaker Demo 1 - Walkthrough & Create Notebook instance.mp4
78.3 MB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/006 SageMaker Demo 3 - AWS Marketplace (Yolo V3 Object Detector).mp4
77.6 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/007 AutoGluon 101.mp4
77.4 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/006 Seaborn Overview.mp4
77.2 MB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/005 AutoGluon for Classification Tasks.mp4
77.2 MB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/009 Final Capstone Project Solution Part 1.mp4
75.1 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/004 XG-Boost 101 [Review].mp4
74.7 MB
23 - Day 18 AWS SageMaker JumpStart/006 JumpStart Demo Part 1 - Data Upload.mp4
74.7 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/003 Project Overview and Card.mp4
74.4 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/003 Project Overview.mp4
74.0 MB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/011 Final Capstone Project Solution - Part 1.mp4
73.6 MB
23 - Day 18 AWS SageMaker JumpStart/005 Data Split for SageMaker JumpStart.mp4
72.9 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/003 Project Overview.mp4
71.6 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/005 Practice Opportunity.mp4
71.5 MB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/009 Demo Deploy an Endpoint.mp4
70.3 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/007 Coding Task 1 - Plot line plot in Matplotlib.mp4
70.3 MB
21 - Day 16 XG-Boost Regression in Scikit-Learn/010 Coding Task 2 - Perform EDA and Visualization.mp4
70.2 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/006 Regression Recap.mp4
69.6 MB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/006 Why Do We Need Labeled Datasets.mp4
69.2 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/006 Coding Task 2 - Perform Data Visualization.mp4
69.1 MB
38 - Day 29 Lambda Functions Using AWS Console/012 Final Capstone Project Solution.mp4
67.9 MB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/014 Coding Task 7 - Evaluate trained model performance.mp4
67.5 MB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/013 Appendix Review Classification Models KPIs.mp4
66.6 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/005 Classifier Models KPIs.mp4
66.6 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/010 Classifier Models Key Performance Indicators (KPIs) & Metrics.mp4
66.6 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/004 Success Stories Price Prediction with AIML.mp4
66.6 MB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/009 SageMaker GroundTruth Pricing.mp4
66.5 MB
31 - Day 24 ChatGPT for Programmers/007 Leverage ChatGPT to Add New Features to Your Code.mp4
66.2 MB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/007 Semantic Segmentation in Groundtruth Demo #1.mp4
66.0 MB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/012 Final Capstone Project - Solution.mp4
65.8 MB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/004 AWS Signup and AWS Management Console Tour.mp4
65.7 MB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/007 Coding Task 3 - Train SageMaker Built-in XG-Boost Algorithm - Part 2.mp4
65.7 MB
35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/010 Final Capstone Project Solution 1.mp4
65.5 MB
31 - Day 24 ChatGPT for Programmers/002 Prepare a Study Plan and Find Best Resources (CoursesBooks) with ChatGPT.mp4
65.2 MB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/008 Json Lines and Manifest Files 101.mp4
65.1 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/016 Coding Task 5 - Evaluate Trained Models.mp4
65.1 MB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/008 Project Demo Part 3 - Model Evaluation and Analysis.mp4
64.8 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/007 Regression Metrics - Part #2.mp4
64.6 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/019 Final Capstone Projects - Solutions.mp4
64.6 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/007 Coding Task #1 - Import Libraries and Datasets.mp4
64.3 MB
31 - Day 24 ChatGPT for Programmers/006 Conduct Code Review With ChatGPT.mp4
64.3 MB
26 - Day 20 Hyperparameters Optimization in SageMaker/009 Deploy Best Model and Assess its Performance.mp4
64.2 MB
21 - Day 16 XG-Boost Regression in Scikit-Learn/004 Introduction to XG-Boost Algorithm.mp4
64.1 MB
14 - Day 10 Amazon SageMaker Data Wrangler/012 Data Wrangler Demo 5 - Data Impute, Handle Missing and 1-Hot Encoding.mp4
63.3 MB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/005 Practice Opportunity 1.mp4
62.9 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/012 Practice Opportunity #4.mp4
62.7 MB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/008 Coding Task #4 - Deploy an Endpoint.mp4
62.5 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/011 Coding Task 2 - Perform Data Cleaning.mp4
61.9 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/014 Coding Task 7 - K Nearest Neighbors (KNN).mp4
61.5 MB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/006 What's Included in the AWS Free Tier.mp4
61.2 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/011 Coding Task #2 - EDA and Data Visualization.mp4
60.9 MB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/006 Coding Task 2 - Access Elements in Pandas DataFrame.mp4
60.8 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/019 Coding Task 7 - Plot Countplot and Scatterplot in Seaborn.mp4
60.5 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/003 Project Overview.mp4
60.2 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/004 AI Applications in Business.mp4
59.8 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/014 Coding Task 6 - Deploy and Test XG-Boost Model.mp4
59.4 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/007 Coding Task #2 - Import Libraries and Datasets.mp4
59.3 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/008 AutoGluon Presets and Fit Parameters.mp4
58.9 MB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/005 Regions Vs. Availability Zones.mp4
58.3 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/017 Coding Task 6 - Hyperparameters Optimization Using GridSearchCV.mp4
58.2 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/017 Final Capstone Project Solution Part 1.mp4
57.9 MB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/008 Semantic Segmentation in Groundtruth Demo #2.mp4
57.3 MB
23 - Day 18 AWS SageMaker JumpStart/012 Final Capstone Project Solution Part 2.mp4
57.0 MB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/003 Project Overview and AWS Groundtruth.mp4
57.0 MB
20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/008 Demo Analyze Training Job Outputs and Metrics.mp4
57.0 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/005 Least Sum of Squares.mp4
56.9 MB
31 - Day 24 ChatGPT for Programmers/004 Perform Code Debugging Using ChatGPT.mp4
56.9 MB
19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/007 Practice Opportunity #1.mp4
56.7 MB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/004 Labeling Text Data in SageMaker GroundTruth - Demo Part #1.mp4
56.0 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/013 Coding Task #3 - EDA and Data Visualization 2.mp4
55.9 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/008 Practice Opportunity #2.mp4
55.2 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/012 Coding Task 5 - Pandas Operations and Filtering.mp4
55.0 MB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/007 Billing Dashboard and Alarm Setup.mp4
54.4 MB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/008 SageMaker Demo 5 - SageMaker Canvas 101.mp4
53.9 MB
23 - Day 18 AWS SageMaker JumpStart/011 Final Capstone Project Solution Part 1.mp4
53.6 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/012 Coding Task 3 - Perform Data Visualization.mp4
53.4 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/012 Coding Task 5 - Support Vector Machines (SVM).mp4
53.1 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/011 Coding Task #3 - Perform Data Visualization.mp4
52.8 MB
14 - Day 10 Amazon SageMaker Data Wrangler/011 Data Wrangler Demo 4 - Bias Report, Remove Duplicates & Feature Importance.mp4
52.3 MB
26 - Day 20 Hyperparameters Optimization in SageMaker/007 Coding Task 4 - DeployTest XG-Boost Algo (without Hyperparameters Optimization).mp4
52.2 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/022 Practice Opportunity 8.mp4
51.8 MB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/007 Practice Opportunity 1.mp4
51.6 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/009 Coding Task #1 - Import Key LibrariesDatasets.mp4
51.4 MB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/008 Request Service Limit Increase.mp4
51.3 MB
31 - Day 24 ChatGPT for Programmers/009 Perform Code Documentation With ChatGPT.mp4
51.0 MB
25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/022 Final Capstone Project Solution.mp4
50.7 MB
14 - Day 10 Amazon SageMaker Data Wrangler/008 Data Wrangler Demo 1 - Import Data From S3.mp4
50.7 MB
31 - Day 24 ChatGPT for Programmers/005 Optimize Your Code With ChatGPT.mp4
50.6 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/006 Regression Metrics - Part #1.mp4
50.3 MB
39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/007 Lambda Invocation with EventBridge.mp4
50.2 MB
33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/019 Final Capstone Project Solution Part 1.mp4
50.0 MB
16 - Day 11 Simple Linear Regression in Scikit-Learn/020 Final Capstone Project - Solution.mp4
49.8 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/016 Practice Opportunity 5.mp4
49.8 MB
17 - Day 12 Regression Using AWS SageMaker Linear Learner/003 Overview of AWS SageMaker Built-in Algorithms.mp4
49.7 MB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/005 K Nearest Neighbors in SageMaker.mp4
49.6 MB
14 - Day 10 Amazon SageMaker Data Wrangler/009 Data Wrangler Demo 2 - Change Datatypes & Generate Summary Table.mp4
49.4 MB
26 - Day 20 Hyperparameters Optimization in SageMaker/003 Project Overview.mp4
49.0 MB
11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/009 Practice Opportunity 3.mp4
48.9 MB
34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/015 Final Capstone Project Solution Part 2.mp4
48.8 MB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/009 Practice Opportunity 1.mp4
48.1 MB
28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/016 Coding Task 8 - Naïve Bayes Classifier Models.mp4
47.9 MB
10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/013 Final Capstone Project Solution.mp4
47.8 MB
22 - Day 17 Built-in SageMaker XG-Boost Algorithm/005 Coding Task 1 - Import datalibraries and Perform EDA.mp4
47.8 MB
18 - Day 13 Multiple Linear Regression in Scikit-Learn/018 Practice Opportunity #5.mp4
47.4 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/004 Coding Task 1 - Import and Explore Dataset.mp4
46.3 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/018 Final Capstone Project Solution Part 2.mp4
46.2 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/006 Coding Task 2 - Deal with Missing Dataset.mp4
45.8 MB
04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/007 Simple Storage Service (S3) Deep Dive & Demo.mp4
45.1 MB
12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/010 Coding Task 4 - Pandas and Functions.mp4
45.0 MB
05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/005 SageMaker Demo 2 - Write your first code.mp4
44.8 MB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/004 AWS SageMaker Canvas 101.mp4
44.7 MB
13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/005 Matplotlib Overview.mp4
44.2 MB
38 - Day 29 Lambda Functions Using AWS Console/008 Demo #2 Part #1 Define a Lambda Function.mp4
44.2 MB
36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/011 Final End-of-Day Capstone Project Solution.mp4
44.2 MB
29 - Day 22 XG-Boost Classification in AWS SageMaker/011 Coding Task 4 - Train and Evaluate XG-Boost.mp4
43.7 MB
26 - Day 20 Hyperparameters Optimization in SageMaker/005 Coding Task 2 - Visualize Data.mp4
43.6 MB
38 - Day 29 Lambda Functions Using AWS Console/010 Demo #2 Part #3 Monitor a Lambda Function.mp4
43.5 MB
07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/013 Additional Topic GroundTruth Plus and Auto-Labeling.mp4
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11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/010 Coding Task 4 - Label-based Indexing with .Loc().mp4
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28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/013 Coding Task 6 - Random Forest Classifier Model.mp4
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23 - Day 18 AWS SageMaker JumpStart/004 AWS SageMaker JumpStart Overview.mp4
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13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/023 Final End of Day Capstone Project Questions.mp4
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05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/010 SageMaker Demo 7 - Train Machine Learning Model.mp4
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34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/010 Coding Task 3 - Train Classification Model using AutoGluon.mp4
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16 - Day 11 Simple Linear Regression in Scikit-Learn/013 Coding Task #4 - Prepare the Data Before Model Training.mp4
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10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/006 Coding Task 1 - Define Pandas DataFrame.mp4
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07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/004 21st Century New Gold!.mp4
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14 - Day 10 Amazon SageMaker Data Wrangler/005 Feature Engineering 101.mp4
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33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/013 Coding Task 3 - Visualize Dataset.mp4
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17 - Day 12 Regression Using AWS SageMaker Linear Learner/005 Coding Task #1 - Problem Overview.mp4
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31 - Day 24 ChatGPT for Programmers/008 Use ChatGPT to Test and Validate Your Code.mp4
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20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/003 Project Overview and Project Card.mp4
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34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/011 Coding Task 4 - Evaluate Classification Model using AutoGluon.mp4
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25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/014 Coding Task 4 - Split the Data into TrainingTesting.mp4
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29 - Day 22 XG-Boost Classification in AWS SageMaker/016 Final Capstone Project Question.mp4
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04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/006 Key AIML Components in AWS.mp4
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28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/017 Practice Opportunity 5.mp4
39.0 MB
30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/016 Final Capstone Project Solution.mp4
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20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/004 The Rise of Machine Learning in Higher Education.mp4
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16 - Day 11 Simple Linear Regression in Scikit-Learn/018 Practice Opportunity #6.mp4
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31 - Day 24 ChatGPT for Programmers/001 Find the Proper Programming Language Syntax Using ChatGPT and GPT-4.mp4
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26 - Day 20 Hyperparameters Optimization in SageMaker/014 Final Capstone Project Solution Part 4.mp4
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08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/012 Final Capstone Project - Solution.mp4
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29 - Day 22 XG-Boost Classification in AWS SageMaker/015 Practice Opportunity 4.mp4
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36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/006 Project Demo Part 1 - Upload data to S3 and Launch Canvas.mp4
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36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/003 Project Overview.mp4
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31 - Day 24 ChatGPT for Programmers/010 Convert from One Programming Language to Another Using ChatGPT.mp4
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11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/004 Coding Task 1 - Import Datasets.mp4
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34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/007 Practice Opportunity 1.mp4
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14 - Day 10 Amazon SageMaker Data Wrangler/006 One-Hot Encoding 101.mp4
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33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/009 Coding Task 1 - Import AutoGluon and data Import.mp4
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18 - Day 13 Multiple Linear Regression in Scikit-Learn/005 Multiple Linear Regression 101.mp4
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13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/013 Coding Task 4 - Plot Scatterplots in Matplotlib.mp4
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08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/006 Labeling Text Data in SageMaker GroundTruth - Demo Part #3.mp4
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36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/005 Success Stories in Human Resources.mp4
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30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/008 Coding Task 2 - Perform Data Visualization.mp4
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31 - Day 24 ChatGPT for Programmers/003 Perform Code Generation and Design Using ChatGPT.mp4
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34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/004 Classification Models KPIs [ReviewSkip if Familiar].mp4
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05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/009 SageMaker Demo 6 - Upload data to S3.mp4
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14 - Day 10 Amazon SageMaker Data Wrangler/010 Data Wrangler Demo 3 - Data Visualization.mp4
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28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/008 Coding Task 3 - Plot Feature Importance.mp4
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10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/012 Final Capstone Project Question.mp4
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30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/006 Coding Task 1 - Import Libraries and Datasets.mp4
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11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/008 Coding Task 3 - Delete and Add Columns.mp4
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08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/010 Practice Opportunity - GroundTruth Pricing.mp4
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18 - Day 13 Multiple Linear Regression in Scikit-Learn/014 Practice Opportunity #3.mp4
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10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/010 Coding Task 3 - SetReset Index in Pandas.mp4
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38 - Day 29 Lambda Functions Using AWS Console/007 Demo #1 Define and Test AWS Lambda Function.mp4
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20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/005 Simple and Multiple Linear Regression [Recap].mp4
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29 - Day 22 XG-Boost Classification in AWS SageMaker/012 Practice Opportunity 3.mp4
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18 - Day 13 Multiple Linear Regression in Scikit-Learn/017 Coding Task #5 - Train ML Model in Scikit-Learn.mp4
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35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/006 SageMaker Autopilot Demo 2 - Analyze Trained Models.mp4
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36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/007 Project Demo Part 2 - Train the Model.mp4
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34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/006 Coding Task 1 - Import Datasets and AutoGloun.mp4
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13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/015 Coding Task 5 - Plot Pie Charts in Matplotlib.mp4
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19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/010 Final Capstone Project - Solutions.mp4
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16 - Day 11 Simple Linear Regression in Scikit-Learn/015 Train a Simple Linear Regression Model in SK-Learn.mp4
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25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/015 Coding Task 5 - Train an XG-Boost Algorithm in SKLearn.mp4
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28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/018 Coding Task 9 - Compare Classifier Models.mp4
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21 - Day 16 XG-Boost Regression in Scikit-Learn/003 Project Overview and Card.mp4
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11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/016 Coding Task 7 - Sorting Pandas DataFrames.mp4
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18 - Day 13 Multiple Linear Regression in Scikit-Learn/019 Capstone Project Questions.mp4
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20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/010 Final End-of-Day Capstone Project Question.mp4
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18 - Day 13 Multiple Linear Regression in Scikit-Learn/010 Practice Opportunity #1.mp4
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17 - Day 12 Regression Using AWS SageMaker Linear Learner/006 Practice Opportunity #1.mp4
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16 - Day 11 Simple Linear Regression in Scikit-Learn/017 Evaluate Trained Model Performance.mp4
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29 - Day 22 XG-Boost Classification in AWS SageMaker/007 Practice Opportunity 1.mp4
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33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/014 Practice Opportunity 3.mp4
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19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/004 Coding Task #1 - Notebook Walkthrough Project Overview.mp4
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18 - Day 13 Multiple Linear Regression in Scikit-Learn/015 Coding Task #4 - Prepare the Data For Model Training.mp4
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21 - Day 16 XG-Boost Regression in Scikit-Learn/014 Coding Task 4 - Train and Test XG-Boost Algorithm.mp4
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10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/008 Coding Task 2 - Load CSV and Statistical Analysis.mp4
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16 - Day 11 Simple Linear Regression in Scikit-Learn/004 Simple Linear Regression 101.mp4
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38 - Day 29 Lambda Functions Using AWS Console/009 Demo #2 Part #2 Test a Lambda Function.mp4
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28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/004 Coding Task 1 - Import Libraries and Datasets.mp4
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23 - Day 18 AWS SageMaker JumpStart/010 Final Capstone Project Question.mp4
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18 - Day 13 Multiple Linear Regression in Scikit-Learn/016 Practice Opportunity #4.mp4
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34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/016 Final Capstone Project Solution Part 3.mp4
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20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/006 Practice Opportunity 1.mp4
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38 - Day 29 Lambda Functions Using AWS Console/006 AWS Lambda Functions Anatomy.mp4
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23 - Day 18 AWS SageMaker JumpStart/007 JumpStart Demo Part 2 - Train the Model.mp4
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35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/003 Project Overview.mp4
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17 - Day 12 Regression Using AWS SageMaker Linear Learner/001 Day Welcome Message.mp4
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34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/013 Final Capstone Project Question.mp4
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28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/003 Project Overview.mp4
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22 - Day 17 Built-in SageMaker XG-Boost Algorithm/003 Project Overview.mp4
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07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/007 Data Labeling Challenges and Applications.mp4
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10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/004 Project Overview - EDA with Pandas.mp4
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25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/010 Practice Opportunity 1.mp4
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39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/003 Introduction and Key Learning Outcomes.mp4
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36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/009 Project Demo Part 4 - Generate Predictions.mp4
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08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/002 Text-Bounding-Boxes-Semantic-Labeling.zip
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33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/011 Coding Task 2 - Perform Exploratory Data Analysis (EDA).mp4
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28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/005 Practice Opportunity 1.mp4
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16 - Day 11 Simple Linear Regression in Scikit-Learn/019 Final Capstone Project - Questions.mp4
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16 - Day 11 Simple Linear Regression in Scikit-Learn/014 Practice Opportunity #4.mp4
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13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/011 Coding Task 3 - Plot Subplots in Matplotlib.mp4
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17 - Day 12 Regression Using AWS SageMaker Linear Learner/013 Final Capstone Project Questions.mp4
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38 - Day 29 Lambda Functions Using AWS Console/011 Final Capstone Project Question.mp4
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16 - Day 11 Simple Linear Regression in Scikit-Learn/008 Practice Opportunity #1.mp4
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36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/010 Final End-of-Day Capstone Project Question.mp4
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33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/010 Practice Opportunity 1.mp4
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30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/012 Coding Task 5 - Evaluate Trained Model Performance.mp4
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30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/007 Practice Opportunity 1.mp4
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23 - Day 18 AWS SageMaker JumpStart/008 JumpStart Demo Part 3 - Deploy an Endpoint.mp4
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18 - Day 13 Multiple Linear Regression in Scikit-Learn/008 SageMaker Studio Domain Setup.mp4
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10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/011 Practice Opportunity 3.mp4
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14 - Day 10 Amazon SageMaker Data Wrangler/002 Data-Wrangler.zip
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13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/009 Coding Task 2 - Plot Multiple Line Plots in Matplotlib.mp4
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23 - Day 18 AWS SageMaker JumpStart/003 Project Introduction and Key Learning Outcomes.mp4
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19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/003 Project Card [Skip If Familiar].mp4
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08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/005 Labeling Text Data in SageMaker GroundTruth - Demo Part #2.mp4
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04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/002 AWS-Essentials-Starter-Pack-Part-2.zip
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39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/008 Final Capstone Project Question.mp4
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16 - Day 11 Simple Linear Regression in Scikit-Learn/009 Coding Task #2 - Explore the Data.mp4
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33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/012 Practice Opportunity 2.mp4
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21 - Day 16 XG-Boost Regression in Scikit-Learn/002 XGboost-in-SKLearn.zip
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16 - Day 11 Simple Linear Regression in Scikit-Learn/016 Practice Opportunity #5.mp4
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07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/002 Labeling-Images-in-SageMaker-GroundTruth.zip
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33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/003 Project Overview & AutoGluon for Tabular Data.mp4
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03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/002 AWS-Essentials-Starter-Pack-Part-1.pptx
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21 - Day 16 XG-Boost Regression in Scikit-Learn/012 Coding Task 3 - Prepare the Data for Model Training.mp4
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14 - Day 10 Amazon SageMaker Data Wrangler/016 Final Capstone Project - Questions.mp4
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20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/001 Day Welcome Message.mp4
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11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/003 Project Overview and Key Learning Outcomes.mp4
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33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/001 Day Welcome Message.mp4
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25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/016 Practice Opportunity 3.mp4
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34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/001 Day Welcome Message.mp4
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22 - Day 17 Built-in SageMaker XG-Boost Algorithm/010 Final Capstone Project Question.mp4
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25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/001 Day Welcome Message.mp4
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