learning python -移花宫 -武林禁地，闲人禁止入内

[ FreeCourseWeb.com ] Packt - Machine Learning with Python - Hands-on Machine Learning.zip

[ FreeCourseWeb.com ] Packt - Machine Learning with Python - Hands-on Machine Learning.zip 1.8 GB

[磁力链接] 添加时间:2021-04-16 大小:1.8 GB 最近下载:2025-10-27 热度:1746

[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.vtt 55.5 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB

[磁力链接] 添加时间:2021-04-15 大小:6.8 GB 最近下载:2025-10-27 热度:3025

Machine Learning & Data Science A-Z Hands-on Python 2021

[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/8. Random Forest Model Development.mp4 258.2 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/1. Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/4. k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/6. Missing Values2.mp4 230.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/1. Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/3. Statistics2.mp4 217.6 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/6. Polynomial Linear Regression Model Development.mp4 217.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/13. Visualization with Matplotlib2.mp4 215.2 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/11. Pandas4.mp4 212.9 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/14. Visualization with Matplotlib3.mp4 198.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/12. Normalization.mp4 195.9 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/13. Model Evaluation - Calculating with Python.mp4 182.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/4. Evaluation Metrics - Implementation.mp4 167.7 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/1. Reading and Modifying a Dataset.mp4 162.1 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/6. NumPy5.mp4 160.1 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/7. Unsupervised Learning - Clustering Techniques/10. Hierarchical Clustering Model Development.mp4 153.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/15. Visualization with Matplotlib4.mp4 149.9 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/3. k-NN Model Development.mp4 147.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/7. NumPy6.mp4 141.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/8. Hyper Parameter Optimization (Model Tuning)/4. k-NN - Model Tuning.mp4 140.1 MB

[磁力链接] 添加时间:2021-04-15 大小:7.3 GB 最近下载:2025-11-01 热度:2855

[GigaCourse.com] Udemy - Artificial Intelligence Reinforcement Learning in Python

11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4 108.8 MB
5. Markov Decision Proccesses/7. Bellman Examples.mp4 91.3 MB
11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
10. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4 68.5 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
10. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4 54.5 MB
2. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4 54.4 MB
2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
10. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4 52.1 MB
10. Stock Trading Project with Reinforcement Learning/8. Code pt 4.mp4 51.5 MB
10. Stock Trading Project with Reinforcement Learning/3. How to Model Q for Q-Learning.mp4 47.1 MB
11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
3. High Level Overview of Reinforcement Learning/3. Defining Some Terms.mp4 44.4 MB
11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.7 MB
11. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
3. High Level Overview of Reinforcement Learning/2. On Unusual or Unexpected Strategies of RL.mp4 38.9 MB
1. Welcome/1. Introduction.mp4 35.9 MB
2. Return of the Multi-Armed Bandit/12. Bandit Summary, Real Data, and Online Learning.mp4 35.6 MB

[磁力链接] 添加时间:2021-04-13 大小:2.0 GB 最近下载:2025-10-26 热度:1512

[FreeCourseSite.com] Udemy - Machine Learning and Data Science Hands-on with Python and R

2. Machine Learning with Tensorflow for Beginners/41. Title of the Plot.vtt 180.9 MB
2. Machine Learning with Tensorflow for Beginners/107. Tensorflow-Playground.mp4 143.3 MB
2. Machine Learning with Tensorflow for Beginners/14. Getting started with Anaconda.mp4 142.8 MB
10. Natural Language Processing (NLP) Tutorials/6. Replacing Contractions.mp4 141.6 MB
12. Machine Learning with R/108. Average of Quarter Denationalization.mp4 133.1 MB
12. Machine Learning with R/55. Creating a Graph for Kmeans Clustering.mp4 132.8 MB
3. Machine Learning Project #1 - Shipping and Time Estimation/8. Assigning a Training Set.mp4 131.3 MB
12. Machine Learning with R/54. Example of Kmeans Dataset.mp4 128.6 MB
12. Machine Learning with R/126. More on Rstudio in Market Analysis.mp4 128.5 MB
12. Machine Learning with R/85. R Type Model.mp4 127.2 MB
4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/3. Checking the Function Argument.mp4 127.1 MB
2. Machine Learning with Tensorflow for Beginners/79. Numeric Hosing Data.mp4 126.1 MB
3. Machine Learning Project #1 - Shipping and Time Estimation/13. Normalization and Discretization.mp4 125.3 MB
12. Machine Learning with R/117. Example of Dataset Boosting in Gradient Continues.mp4 118.7 MB
2. Machine Learning with Tensorflow for Beginners/58. Grid.mp4 116.2 MB
2. Machine Learning with Tensorflow for Beginners/19. Arrays.mp4 115.7 MB
13. BIP - Business Intelligence Publisher using Siebel/8. Showing Report Views on Application.mp4 115.4 MB
2. Machine Learning with Tensorflow for Beginners/52. Pairplot.mp4 115.1 MB
2. Machine Learning with Tensorflow for Beginners/23. Universal Functions.mp4 114.9 MB
12. Machine Learning with R/101. Forecasting Using Stock Price.mp4 114.2 MB

[磁力链接] 添加时间:2021-04-13 大小:33.1 GB 最近下载:2025-10-27 热度:1936

[Tutorialsplanet.NET] Udemy - 2019 AWS SageMaker and Machine Learning - With Python

10. 2019 SageMaker HyperParameter Tuning/3. Lab Tuning Movie Rating Factorization Machine Recommender System.mp4 161.5 MB
5. XGBoost - Gradient Boosted Trees/10. Demo - Training on SageMaker Cloud - Kaggle Bike Rental Model Version 3.mp4 133.4 MB
8. SageMaker - DeepAR Time Series Forecasting/5. Demo - Bike Rental as Time Series Forecasting Problem.mp4 110.1 MB
3. 2019 Machine Learning Concepts/2. 2019 Data Types - How to handle mixed data types.mp4 107.2 MB
5. XGBoost - Gradient Boosted Trees/4. Demo - Working with XGBoost - Linear Regression Straight Line Fit.mp4 104.5 MB
5. XGBoost - Gradient Boosted Trees/6. Demo - Kaggle Bike Rental Data Setup, Exploration and Preparation.mp4 101.8 MB
5. XGBoost - Gradient Boosted Trees/7. Demo - Kaggle Bike Rental Model Version 1.mp4 100.8 MB
7. SageMaker - Factorization Machines/4. Demo - Movie Recommender Data Preparation.mp4 95.1 MB
8. SageMaker - DeepAR Time Series Forecasting/3. DeepAR Training and Inference Formats.mp4 93.8 MB
3. 2019 Machine Learning Concepts/3. 2019 Introduction to Python Notebook Environment.mp4 89.7 MB
9. 2019 Integration Options - Model Endpoint/9. Microservice - API Gateway, Lambda to Endpoint.mp4 88.2 MB
5. XGBoost - Gradient Boosted Trees/16. Demo - XGBoost Multi-Class Classification Iris Data.mp4 85.8 MB
3. 2019 Machine Learning Concepts/4. 2019 Introduction to working with Missing Data.mp4 85.7 MB
8. SageMaker - DeepAR Time Series Forecasting/6. Demo - Bike Rental Model Training.mp4 81.0 MB
9. 2019 Integration Options - Model Endpoint/5. Client to Endpoint using SageMaker SDK.mp4 80.7 MB
8. SageMaker - DeepAR Time Series Forecasting/2. Introduction to DeepAR Time Series Forecasting.mp4 79.5 MB
9. 2019 Integration Options - Model Endpoint/8. Microservice - Lambda to Endpoint.mp4 77.8 MB
5. XGBoost - Gradient Boosted Trees/1. Introduction to XGBoost.mp4 76.1 MB
3. 2019 Machine Learning Concepts/1. 2019 Introduction to Machine Learning, Concepts, Terminologies.mp4 73.6 MB
7. SageMaker - Factorization Machines/6. Demo - Movie Predictions By User.mp4 72.3 MB

[磁力链接] 添加时间:2021-04-12 大小:4.9 GB 最近下载:2025-10-31 热度:1614

Reinforcement Learning with Python Explained for Beginners

[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/10. Temporal Differencing-Q Learning/10. Q-Learning Implementation for MAPROVER Clipped.mp4 125.6 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/12. Project Frozenlake (Open AI Gym)/2. Frozenlake Implementation.mp4 117.7 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/8. Solving MDP/9. Value Iteration Solution.mp4 86.2 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/2. Motivation Reinforcement Learning/2. What is Reinforcement Learning Hiders and Seekers by OpenAI.mp4 75.8 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/2. Motivation Reinforcement Learning/3. RL vs Other ML Frameworks.mp4 62.2 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/9. Value Approximation/6. Monte-Carlo Learning Example.mp4 62.0 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/9. Non Stationary Environment.mp4 62.0 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/3. Terminology of Reinforcement Learning/7. What is Reward.mp4 61.7 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/2. Motivation Reinforcement Learning/6. Limitations of Reinforcement Learning.mp4 55.6 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/3. Setup 3.mp4 54.3 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/3. Terminology of Reinforcement Learning/10. Summary.mp4 52.4 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/5. Markov Decision Process Prerequisites/16. Modeling Uncertainity of Environment Value Functions.mp4 51.5 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/8. Stochastic Environment 3.mp4 51.1 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/10. Temporal Differencing-Q Learning/9. Q-Learning.mp4 50.3 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/6. Stochastic Environment.mp4 49.1 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/4. Policy Comparison.mp4 48.4 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/10. Temporal Differencing-Q Learning/2. Learning Rate.mp4 48.3 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/3. Terminology of Reinforcement Learning/5. State Belongs to Environment and not to Agent.mp4 46.7 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/5. Deterministic Environment.mp4 46.2 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/3. Terminology of Reinforcement Learning/2. What is Environment_2.mp4 45.8 MB

[磁力链接] 添加时间:2021-04-11 大小:3.6 GB 最近下载:2025-10-30 热度:3430

Machine Learning made Easy Hands-on python

[TutsNode.com] - Machine Learning made Easy Hands-on python/2. UnSupervised Machine Learning/15. Association Rules (with Practical).mp4 334.6 MB
[TutsNode.com] - Machine Learning made Easy Hands-on python/2. UnSupervised Machine Learning/14. Association Rules.mp4 252.1 MB
[TutsNode.com] - Machine Learning made Easy Hands-on python/2. UnSupervised Machine Learning/7. DBSCAN- Algorithm (with Practical).mp4 236.8 MB
[TutsNode.com] - Machine Learning made Easy Hands-on python/3. Supervised Machine Learning/10. Non Linear SVM parameters (with Practical).mp4 214.5 MB
[TutsNode.com] - Machine Learning made Easy Hands-on python/2. UnSupervised Machine Learning/5. DBSCAN Density based method.mp4 210.7 MB
[TutsNode.com] - Machine Learning made Easy Hands-on python/3. Supervised Machine Learning/9. SVM - Mathematics (Hyperplane).mp4 199.9 MB
[TutsNode.com] - Machine Learning made Easy Hands-on python/2. UnSupervised Machine Learning/4. Agglomerative Clustering (Demo2, Practical).mp4 178.8 MB
[TutsNode.com] - Machine Learning made Easy Hands-on python/2. UnSupervised Machine Learning/3. Agglomerative Clustering (Demo1, Practical).mp4 165.2 MB
[TutsNode.com] - Machine Learning made Easy Hands-on python/1. Introduction/3. Deep Learning Introduction.mp4 163.3 MB
[TutsNode.com] - Machine Learning made Easy Hands-on python/3. Supervised Machine Learning/8. SVM - Support Vector Regression (SVR) with Practical.mp4 161.5 MB
[TutsNode.com] - Machine Learning made Easy Hands-on python/3. Supervised Machine Learning/5. kNN Nearest Neighbors Implementation with Practical.mp4 153.7 MB
[TutsNode.com] - Machine Learning made Easy Hands-on python/2. UnSupervised Machine Learning/1. Unsupervised Machine Learning - Overview.mp4 150.1 MB
[TutsNode.com] - Machine Learning made Easy Hands-on python/2. UnSupervised Machine Learning/2. Hierarchical Clustering Agglomerative Clustering.mp4 149.8 MB
[TutsNode.com] - Machine Learning made Easy Hands-on python/3. Supervised Machine Learning/16. One Hot Encoding (with Practical).mp4 149.5 MB
[TutsNode.com] - Machine Learning made Easy Hands-on python/3. Supervised Machine Learning/1. Supervised Machine Learning - Overview.mp4 145.5 MB
[TutsNode.com] - Machine Learning made Easy Hands-on python/2. UnSupervised Machine Learning/8. Mean Shift Algorithm.mp4 142.3 MB
[TutsNode.com] - Machine Learning made Easy Hands-on python/3. Supervised Machine Learning/2. Generating Training and Test Data (Train Test Split).mp4 136.3 MB
[TutsNode.com] - Machine Learning made Easy Hands-on python/2. UnSupervised Machine Learning/6. DBSCAN- How to select eps (with Practical).mp4 128.9 MB
[TutsNode.com] - Machine Learning made Easy Hands-on python/3. Supervised Machine Learning/13. Linear Regression (with Practical).mp4 126.8 MB
[TutsNode.com] - Machine Learning made Easy Hands-on python/2. UnSupervised Machine Learning/9. Mean Shift Algorithm with Practical (1).mp4 125.4 MB

[磁力链接] 添加时间:2021-04-11 大小:4.8 GB 最近下载:2025-10-03 热度:2765

[Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning in Python

10/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.4 MB
11/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
5. Dynamic Programming/4. Iterative Policy Evaluation in Code.mp4 71.8 MB
9. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4 68.5 MB
1. Welcome/5. Warmup.mp4 65.7 MB
4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
5. Dynamic Programming/9. Policy Iteration in Code.mp4 59.1 MB
4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 58.2 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
4. Markov Decision Proccesses/2. Gridworld.mp4 56.6 MB
9. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4 54.5 MB
2. Return of the Multi-Armed Bandit/1. Section Introduction The Explore-Exploit Dilemma.mp4 54.5 MB
5. Dynamic Programming/10. Policy Iteration in Windy Gridworld.mp4 53.9 MB
2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
2. Return of the Multi-Armed Bandit/24. (Optional) Alternative Bandit Designs.mp4 52.8 MB
9. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4 52.1 MB

[磁力链接] 添加时间:2021-04-10 大小:3.4 GB 最近下载:2024-05-26 热度:61

GetFreeCourses.Co-Udemy-Machine Learning, Data Science and Deep Learning with Python

2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.srt 148.5 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 131.2 MB
1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 129.1 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 120.9 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 119.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 117.4 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 115.1 MB
10. Deep Learning and Neural Networks/8. [Activity] Using Tensorflow, Part 2.mp4 113.9 MB

[磁力链接] 添加时间:2021-04-10 大小:8.5 GB 最近下载:2025-10-16 热度:1332

[ DevCourseWeb.com ] Udemy - Deep Learning - Recurrent Neural Networks with Python.zip

[ DevCourseWeb.com ] Udemy - Deep Learning - Recurrent Neural Networks with Python.zip 3.8 GB

[磁力链接] 添加时间:2021-04-10 大小:3.8 GB 最近下载:2022-02-22 热度:21

[ FreeCourseWeb.com ] Machine Learning with Regression in Python - With Ordinary Least Squares, Ridge, Decision Trees and Neural Networks.zip

[ FreeCourseWeb.com ] Machine Learning with Regression in Python - With Ordinary Least Squares, Ridge, Decision Trees and Neural Networks.zip 238.5 MB

[磁力链接] 添加时间:2021-04-10 大小:238.5 MB 最近下载:2025-10-27 热度:748

[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp

25 Neural Nets and Deep Learning/151 Tensorboard.mp4 151.2 MB
25 Neural Nets and Deep Learning/144 Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25 Neural Nets and Deep Learning/136 TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25 Neural Nets and Deep Learning/147 Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25 Neural Nets and Deep Learning/141 TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25 Neural Nets and Deep Learning/145 Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
26 Big Data and Spark with Python/158 EC2 Instance Set-Up.mp4 90.7 MB
25 Neural Nets and Deep Learning/146 Keras Project Solutions - Categorical Data.mp4 89.5 MB
25 Neural Nets and Deep Learning/134 TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14 Introduction to Machine Learning/078 Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25 Neural Nets and Deep Learning/143 TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
02 Environment Set-Up/004 Python Environment Setup.mp4 80.1 MB
25 Neural Nets and Deep Learning/137 TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25 Neural Nets and Deep Learning/130 Cost Functions and Gradient Descent.mp4 79.7 MB
18 K Nearest Neighbors/097 KNN Project Solutions.mp4 74.3 MB
26 Big Data and Spark with Python/163 RDD Transformations and Actions.mp4 74.2 MB
26 Big Data and Spark with Python/160 PySpark Setup.mp4 74.0 MB
25 Neural Nets and Deep Learning/139 TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25 Neural Nets and Deep Learning/135 TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25 Neural Nets and Deep Learning/150 Keras Project Solutions - Model Evaluation.mp4 66.2 MB

[磁力链接] 添加时间:2021-04-09 大小:6.1 GB 最近下载:2025-07-16 热度:610

[UdemyCourseDownloader] Complete Data Science & Machine Learning Bootcamp – Python 3

04. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
05. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.4 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.7 MB
05. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
03. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.mp4 179.8 MB
05. Predict House Prices with Multivariable Linear Regression/11. Visualising Correlations with a Heatmap.mp4 176.8 MB
03. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.mp4 164.4 MB
11. Use Tensorflow to Classify Handwritten Digits/11. Name Scoping and Image Visualisation in Tensorboard.mp4 162.9 MB
03. Python Programming for Data Science and Machine Learning/9. [Python & Pandas] - Dataframes and Series.mp4 160.7 MB
05. Predict House Prices with Multivariable Linear Regression/26. Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.mp4 160.4 MB
05. Predict House Prices with Multivariable Linear Regression/27. Making Predictions (Part 1) MSE & R-Squared.mp4 160.1 MB

[磁力链接] 添加时间:2021-04-07 大小:15.2 GB 最近下载:2025-10-17 热度:386

[FreeCourseLab.com] Udemy - Learning Python for Data Analysis and Visualization

10. Machine Learning/16. Decision Trees and Random Forests.mp4 160.4 MB
10. Machine Learning/19. Natural Language Processing Part 3.mp4 97.1 MB
9. Example Projects/17. Data Project - Election Analysis Part 4.mp4 86.1 MB
10. Machine Learning/20. Natural Language Processing Part 4.mp4 70.4 MB
10. Machine Learning/18. Natural Language Processing Part 2.mp4 62.6 MB
10. Machine Learning/17. Natural Language Processing Part 1.mp4 46.0 MB
2. Setup/3. iPythonJupyter Notebook Overview.mp4 41.4 MB
9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4 38.6 MB
10. Machine Learning/13. Support Vector Machines - Part 2.mp4 37.7 MB
10. Machine Learning/9. Logistic Regression Part 4.mp4 37.0 MB
10. Machine Learning/5. Linear Regression Part 4.mp4 32.4 MB
11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 32.2 MB
10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 32.1 MB
2. Setup/2. IDEs and Course Resources.mp4 31.8 MB
10. Machine Learning/4. Linear Regression Part 3.mp4 28.5 MB
8. Data Visualization/3. Kernel Density Estimate Plots.mp4 28.3 MB
10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 28.1 MB
9. Example Projects/1. Data Projects Preview.mp4 27.1 MB
10. Machine Learning/6. Logistic Regression Part 1.mp4 26.2 MB
9. Example Projects/15. Data Project - Election Analysis Part 2.mp4 26.1 MB

[磁力链接] 添加时间:2021-04-06 大小:2.1 GB 最近下载:2025-10-03 热度:1556

Udemy.Estadística.inferencial.Machine Learning.con.R.Python

Udemy.Estadística.inferencial.Machine Learning.con.R.Python.part04.rar 2.1 GB
Udemy.Estadística.inferencial.Machine Learning.con.R.Python.part03.rar 2.1 GB
Udemy.Estadística.inferencial.Machine Learning.con.R.Python.part02.rar 2.1 GB
Udemy.Estadística.inferencial.Machine Learning.con.R.Python.part05.rar 2.1 GB
Udemy.Estadística.inferencial.Machine Learning.con.R.Python.part06.rar 2.1 GB
Udemy.Estadística.inferencial.Machine Learning.con.R.Python.part01.rar 2.1 GB
Udemy.Estadística.inferencial.Machine Learning.con.R.Python.part07.rar 2.1 GB
Udemy.Estadística.inferencial.Machine Learning.con.R.Python.part08.rar 652.1 MB

[磁力链接] 添加时间:2021-04-06 大小:15.7 GB 最近下载:2025-06-17 热度:350

[GigaCourse.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python

1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4 60.6 MB
7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4 52.6 MB
10. AutoEncoders/5. Stacked Autoencoder.mp4 46.1 MB
5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4 42.5 MB
9. Miscellaneous Topics/6. Tensorboard.mp4 41.9 MB
10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4 37.6 MB
8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4 37.3 MB
8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4 36.8 MB
7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4 36.6 MB
8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4 35.7 MB
8. Recurrent Neural Networks/16. Word2Vec Part Two.mp4 35.0 MB
9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4 34.5 MB
6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
4. Crash Course Overview/2. NumPy Crash Course.mp4 34.1 MB
6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 33.5 MB
3. What is Machine Learning/1. Machine Learning Overview.mp4 31.9 MB

[磁力链接] 添加时间:2021-04-05 大小:2.5 GB 最近下载:2025-10-20 热度:1114

[FreeTutorials.Us] [UDEMY] Cutting-Edge AI Deep Reinforcement Learning in Python [FTU]

6. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 203.8 MB
4. DDPG (Deep Deterministic Policy Gradient)/5. DDPG Code (part 1).mp4 203.0 MB
3. A2C (Advantage Actor-Critic)/10. A2C.mp4 201.6 MB
6. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 175.1 MB
5. ES (Evolution Strategies)/7. ES for Flappy Bird in Code.mp4 149.1 MB
6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 146.1 MB
3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.mp4 134.8 MB
6. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.2 MB
4. DDPG (Deep Deterministic Policy Gradient)/4. MuJoCo.mp4 115.8 MB
2. Review of Fundamental Reinforcement Learning Concepts/3. Markov Decision Processes (MDPs).mp4 113.9 MB
5. ES (Evolution Strategies)/2. ES Theory.mp4 113.5 MB
6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 104.2 MB
3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).mp4 100.9 MB
6. Appendix FAQ/6. How to Code by Yourself (part 1).mp4 86.6 MB
4. DDPG (Deep Deterministic Policy Gradient)/3. DDPG Theory.mp4 84.6 MB
2. Review of Fundamental Reinforcement Learning Concepts/5. Temporal Difference Learning (TD).mp4 82.4 MB
6. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Review of Fundamental Reinforcement Learning Concepts/2. The Explore-Exploit Dilemma.mp4 75.1 MB
3. A2C (Advantage Actor-Critic)/7. Multiple Processes.mp4 73.5 MB
5. ES (Evolution Strategies)/8. ES for MuJoCo in Code.mp4 72.0 MB

[磁力链接] 添加时间:2021-04-05 大小:3.5 GB 最近下载:2025-10-31 热度:2403

[ FreeCourseWeb.com ] Learn Python by Building Data Science Applications- A fun, project-based guide to learning Python 3 (True PDF, EPUB,MOBI).zip

[ FreeCourseWeb.com ] Learn Python by Building Data Science Applications- A fun, project-based guide to learning Python 3 (True PDF, EPUB,MOBI).zip 270.6 MB

[磁力链接] 添加时间:2021-04-05 大小:270.6 MB 最近下载:2025-11-01 热度:1984

[FreeCourseSite.com] Udemy - Bayesian Machine Learning in Python AB Testing

8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.5 MB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Bayesian AB Testing/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.5 MB
4. Traditional AB Testing/14. Z-Test Code (pt 1).mp4 71.2 MB
5. Bayesian AB Testing/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.9 MB
5. Bayesian AB Testing/12. UCB1 Theory.mp4 58.5 MB
2. The High-Level Picture/2. What is Bayesian Machine Learning.mp4 57.3 MB
3. Bayes Rule and Probability Review/11. Probability Review in Code.mp4 57.0 MB
5. Bayesian AB Testing/1. Section Introduction The Explore-Exploit Dilemma.mp4 54.8 MB
5. Bayesian AB Testing/24. (Optional) Alternative Bandit Designs.mp4 54.5 MB
4. Traditional AB Testing/9. Hypothesis Testing - The API Approach.mp4 50.5 MB
7. Practice Makes Perfect/3. The most important quiz of all - Obtaining an infinite amount of practice.mp4 49.4 MB
5. Bayesian AB Testing/2. Applications of the Explore-Exploit Dilemma.srt 49.4 MB
5. Bayesian AB Testing/2. Applications of the Explore-Exploit Dilemma.mp4 49.3 MB
5. Bayesian AB Testing/19. Thompson Sampling With Gaussian Reward Theory.mp4 49.2 MB
4. Traditional AB Testing/17. Classical AB Testing Section Summary.mp4 48.5 MB
5. Bayesian AB Testing/8. Comparing Different Epsilons.mp4 46.1 MB
8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
1. Introduction and Outline/3. How to succeed in this course.mp4 45.9 MB
3. Bayes Rule and Probability Review/6. Maximum Likelihood Estimation - Bernoulli.mp4 45.9 MB

[磁力链接] 添加时间:2021-04-04 大小:2.9 GB 最近下载:2025-07-30 热度:486