udemy data science machine learning -移花宫 -武林禁地，闲人禁止入内

[DesireCourse.Net] Udemy - Data Science and Machine Learning Bootcamp with R

18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 57.1 MB
19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 50.9 MB
21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 50.1 MB
23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 49.7 MB
14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 49.4 MB
20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 49.2 MB
33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 48.5 MB
20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 48.2 MB
15. Data Visualization with R/2. Histograms.mp4 47.8 MB
6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip.zip 47.8 MB
1. Course Introduction/4.1 R-Course-HTML-Notes.zip.zip 47.8 MB
22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 42.9 MB
24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 42.4 MB
22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 41.5 MB
15. Data Visualization with R/3. Scatterplots.mp4 39.4 MB
12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 38.5 MB
32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 37.4 MB
12. R Programming Basics/8. Functions.mp4 36.8 MB
18. Capstone Data Project/1. Introduction to Capstone Project.mp4 36.6 MB
9. R Data Frames/5. Overview of Data Frame Operations - Part 2.mp4 35.8 MB

[磁力链接] 添加时间:2021-03-09 大小:2.6 GB 最近下载:2025-10-24 热度:1489

[FreeCourseSite.com] 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:2021-03-17 大小:8.5 GB 最近下载:2025-08-26 热度:1420

[GigaCourse.Com] Udemy - Complete Machine Learning & Data Science Bootcamp 2022

09 - Scikit-learn Creating Machine Learning Models/017 NEW Choosing The Right Model For Your Data.mp4 245.5 MB
09 - Scikit-learn Creating Machine Learning Models/040 NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4 235.7 MB
05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4 233.6 MB
09 - Scikit-learn Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4 193.5 MB
09 - Scikit-learn Creating Machine Learning Models/008 Optional Debugging Warnings In Jupyter.mp4 179.8 MB
16 - Career Advice + Extra Bits/009 CWD Git + Github.mp4 178.1 MB
09 - Scikit-learn Creating Machine Learning Models/043 Tuning Hyperparameters.mp4 176.2 MB
14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4 171.1 MB
12 - Milestone Project 2 Supervised Learning (Time Series Data)/008 Feature Engineering.mp4 165.1 MB
14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4 161.1 MB
16 - Career Advice + Extra Bits/003 What If I Don't Have Enough Experience.mp4 154.5 MB
12 - Milestone Project 2 Supervised Learning (Time Series Data)/009 Turning Data Into Numbers.mp4 151.1 MB
09 - Scikit-learn Creating Machine Learning Models/050 Putting It All Together.mp4 150.1 MB
12 - Milestone Project 2 Supervised Learning (Time Series Data)/021 Feature Importance.mp4 147.4 MB
05 - Data Science Environment Setup/005 Mac Environment Setup.mp4 146.2 MB
12 - Milestone Project 2 Supervised Learning (Time Series Data)/019 Preproccessing Our Data.mp4 144.9 MB
14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/040 Training Model On Full Dataset.mp4 144.3 MB
11 - Milestone Project 1 Supervised Learning (Classification)/010 Finding Patterns 3.mp4 142.5 MB
12 - Milestone Project 2 Supervised Learning (Time Series Data)/006 Exploring Our Data.mp4 142.3 MB
14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images.mp4 138.4 MB

[磁力链接] 添加时间:2024-02-25 大小:17.8 GB 最近下载:2025-10-29 热度:1415

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

25. Neural Nets and Deep Learning/30. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Neural Nets and Deep Learning/7. Activation Functions.mp4 65.6 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
25. Neural Nets and Deep Learning/10. Backpropagation.mp4 60.8 MB

[磁力链接] 添加时间:2022-01-14 大小:5.4 GB 最近下载:2025-11-03 热度:1371

GetFreeCourses.Co-Udemy-Complete Machine Learning & Data Science Bootcamp 2021

5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
9. Scikit-learn Creating Machine Learning Models/41. Tuning Hyperparameters.mp4 184.3 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Feature Engineering.mp4 166.9 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
9. Scikit-learn Creating Machine Learning Models/48. Putting It All Together.mp4 157.9 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/9. Turning Data Into Numbers.mp4 153.3 MB
5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
9. Scikit-learn Creating Machine Learning Models/16. Choosing The Right Model For Your Data.mp4 150.2 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/21. Feature Importance.mp4 149.2 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Preproccessing Our Data.mp4 146.1 MB
11. Milestone Project 1 Supervised Learning (Classification)/10. Finding Patterns 3.mp4 144.6 MB

[磁力链接] 添加时间:2021-04-27 大小:20.6 GB 最近下载:2025-11-02 热度:1359

[ DevCourseWeb.com ] Udemy - Hands-On Machine Learning and Data Science in TensorFlow JS.zip

[ DevCourseWeb.com ] Udemy - Hands-On Machine Learning and Data Science in TensorFlow JS.zip 4.1 GB

[磁力链接] 添加时间:2021-03-18 大小:4.1 GB 最近下载:2025-10-28 热度:1343

[GigaCourse.Com] Udemy - Complete 2022 Data Science & Machine Learning Bootcamp

04. Introduction to Optimisation and the Gradient Descent Algorithm/08. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/06. [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
12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/09. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 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 3/06. 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/09. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
12. Serving a Tensorflow Model through a Website/07. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
12. Serving a Tensorflow Model through a Website/09. Styling an HTML Canvas.mp4 196.5 MB
12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 180.3 MB

[磁力链接] 添加时间:2022-02-26 大小:18.4 GB 最近下载:2025-08-09 热度:1333

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

[FreeAllCourse.Com] 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.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
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4 124.0 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
5. Recommender Systems/3. [Activity] Finding Movie Similarities.mp4 113.1 MB

[磁力链接] 添加时间:2021-03-20 大小:8.3 GB 最近下载:2025-10-29 热度:1325

[FreeCourseSite.com] 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.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 with Item-Based Collaborative Filtering.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
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4 124.0 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
5. Recommender Systems/3. [Activity] Finding Movie Similarities using Cosine Similarity.mp4 113.1 MB

[磁力链接] 添加时间:2021-03-11 大小:8.2 GB 最近下载:2025-10-31 热度:1316

[FreeCourseLab.com] Udemy - Machine Learning, Data Science and Deep Learning with Python

8. Apache Spark Machine Learning on Big Data/8. [Activity] Decision Trees in Spark.mp4 202.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 180.7 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.mp4 148.5 MB
1. Getting Started/5. Python Basics, Part 1 [Optional].mp4 140.3 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 140.3 MB
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 2.mp4 140.1 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
2. Statistics and Probability Refresher, and Python Practise/10. [Exercise] Conditional Probability.mp4 136.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
2. Statistics and Probability Refresher, and Python Practise/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
10. Deep Learning and Neural Networks/14. The Ethics of Deep Learning.mp4 134.5 MB
1. Getting Started/8. Introducing the Pandas Library [Optional].mp4 134.1 MB
3. Predictive Models/3. [Activity] Multivariate Regression, and Predicting Car Prices.mp4 129.8 MB
2. Statistics and Probability Refresher, and Python Practise/9. [Activity] Covariance and Correlation.mp4 122.4 MB
2. Statistics and Probability Refresher, and Python Practise/7. [Activity] Percentiles and Moments.mp4 119.6 MB
8. Apache Spark Machine Learning on Big Data/12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4 119.3 MB
8. Apache Spark Machine Learning on Big Data/11. [Activity] Searching Wikipedia with Spark.mp4 116.9 MB
2. Statistics and Probability Refresher, and Python Practise/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB

[磁力链接] 添加时间:2021-04-18 大小:7.9 GB 最近下载:2025-10-27 热度:1310

[DesireCourse.Net] Udemy - Python required for Data Science and Machine Learning 2020

6. Python Basics V/2. Topic 2.mp4 83.6 MB
8. Exploratory Data Analysis/2. Case Study - Topic 2.mp4 65.1 MB
6. Python Basics V/1. Topic 1.mp4 63.6 MB
3. Python Basics II/4. Topic 4.mp4 48.7 MB
7. Visualization Tools/2. Matplotlib - Topic 2.mp4 41.8 MB
5. Python Basics IV/1. Topic 1.mp4 34.9 MB
5. Python Basics IV/4. Topic 4.mp4 32.9 MB
3. Python Basics II/3. Topic 3.mp4 28.4 MB
1. Introduction/3. What is Machine Learning and Data Science.mp4 28.3 MB
5. Python Basics IV/2. Topic 2.mp4 27.4 MB
3. Python Basics II/2. Topic 2.mp4 26.7 MB
9. Available Machine Learning Tools/2. Topic 2.mp4 23.8 MB
2. Python Basic I/4. Topic 2.mp4 22.3 MB
2. Python Basic I/2. Installation.mp4 21.3 MB
7. Visualization Tools/3. Seaborn- Topic 1.mp4 18.8 MB
5. Python Basics IV/3. Topic 3.srt 18.0 MB
5. Python Basics IV/3. Topic 3.mp4 18.0 MB
4. Python Basics III/1. Topic 1.mp4 17.0 MB
7. Visualization Tools/7. Seaborn- Topic 5.mp4 16.8 MB
4. Python Basics III/4. Topic 4.mp4 15.1 MB

[磁力链接] 添加时间:2022-04-25 大小:778.2 MB 最近下载:2025-10-18 热度:1308

[GigaCourse.Com] Udemy - Diploma in Python with Data Science and Machine Learning

12. 13. (BONUS SERIES) Java Programming/6. 6. Arrays in Java.mp4 1.4 GB
12. 13. (BONUS SERIES) Java Programming/9. 09. Operators in Java.mp4 1.4 GB
12. 13. (BONUS SERIES) Java Programming/1. 1. Java introduction.mp4 1.1 GB
12. 13. (BONUS SERIES) Java Programming/10. 10. Type Casting in Java.mp4 752.1 MB
12. 13. (BONUS SERIES) Java Programming/7. 7. Strings in Java part 1.mp4 657.8 MB
12. 13. (BONUS SERIES) Java Programming/5. 5. Literals in Java.mp4 586.7 MB
12. 13. (BONUS SERIES) Java Programming/2. 2. Variables in Java.mp4 516.4 MB
12. 13. (BONUS SERIES) Java Programming/8. 8. Strings in Java part 2.mp4 490.0 MB
12. 13. (BONUS SERIES) Java Programming/11. 11. Control statement If else in Java.mp4 464.7 MB
12. 13. (BONUS SERIES) Java Programming/12. 12. Switch Statement in Java.mp4 318.2 MB
12. 13. (BONUS SERIES) Java Programming/4. 4. Reserved Keywords in Java.mp4 192.8 MB
15. Project Based Learning and Mini Project/7. PBL7.mp4 161.4 MB
17. CSS/8. Web Development CSS 8.mp4 157.4 MB
12. 13. (BONUS SERIES) Java Programming/3. 3. Identifiers in Java.mp4 152.3 MB
16. Web Development Bootcamp/1. 1. Web development 1.mp4 149.2 MB
17. CSS/9. Web Development CSS 9.mp4 140.1 MB
13. 12. Advanced Machine Learning/5. 05. Case study.mp4 139.5 MB
17. CSS/7. Web Development CSS 7.mp4 133.7 MB
13. 12. Advanced Machine Learning/9. 09. Decision Tree.mp4 133.4 MB
14. Speech Recognition by Python ( Mini Project )/2. Computer vision lecture 1.mp4 115.5 MB

[磁力链接] 添加时间:2024-05-16 大小:13.8 GB 最近下载:2025-11-03 热度:1296

[Udemy] Python for Data Science and Machine Learning Bootcamp (2020) [En]

25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.8 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 90.7 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4 74.3 MB
26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 74.2 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 74.1 MB
25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB

[磁力链接] 添加时间:2021-04-02 大小:6.0 GB 最近下载:2025-11-02 热度:1288

[FreeCourseSite.com] Udemy - Regression Analysis in R for Machine Learning & Data Science

07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/005 Lab_ Machine Learning Models' Comparison & Best Model Selection.mp4 106.2 MB
07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/004 Lab_ Random Forest in R.mp4 105.0 MB
06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/002 Lab_ Polynomial regression in R.mp4 68.1 MB
05 More types of regression models/001 Lab_ Multiple linear regression - model estimation.mp4 63.1 MB
05 More types of regression models/005 ANOVA - Categorical variables with more than two levels in linear regressions.mp4 57.2 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/003 Your first linear regression model in R.mp4 55.9 MB
07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/002 Lab_ Decision Trees in R.mp4 54.5 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/001 Overview of Regression Analysis.mp4 51.5 MB
01 Introduction to the course, Machine Learning & Regression Analysis/002 Introduction to Regression Analysis.mp4 51.5 MB
03 R Crash Course - get started with R-programming in R-Studio/006 Lab_ data types and data structures in R.mp4 50.4 MB
02 Software used in this course R-Studio and Introduction to R/006 Lab_ Get started with R in RStudio.mp4 50.0 MB
06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/005 Lab_ Generalized additive models in R.mp4 49.8 MB
06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/004 Lab_ Spline regression in R.mp4 49.2 MB
05 More types of regression models/003 Lab_ Multiple linear regression with interaction.mp4 46.7 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/006 Lab_ Linear Regression Diagnostics.mp4 45.3 MB
02 Software used in this course R-Studio and Introduction to R/004 Lab_ Install R and RStudio in 2020.mp4 40.6 MB
03 R Crash Course - get started with R-programming in R-Studio/007 Vectors' operations in R.mp4 37.7 MB
01 Introduction to the course, Machine Learning & Regression Analysis/003 What is Machine Leraning and it's main types_.mp4 36.0 MB
03 R Crash Course - get started with R-programming in R-Studio/012 Read Data into R.mp4 33.5 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/010 Prediction model evaluation with data split_ out-of-sample RMSE.mp4 32.7 MB

[磁力链接] 添加时间:2022-03-15 大小:1.5 GB 最近下载:2025-10-31 热度:1288

[FreeCourseSite.com] Udemy - Complete Machine Learning & Data Science with Python A-Z

4. Linear Regression Algorithm/5. Linear Regression Algorithm Project Solutions.mp4 207.1 MB
4. Linear Regression Algorithm/2. Linear Regression Algorithm With Python Part 1.mp4 173.8 MB
7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/4. K Nearest Neighbors Algorithm Project Solutions.mp4 151.4 MB
7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/2. K Nearest Neighbors Algorithm With Python.mp4 147.2 MB
9. Support Vector Machine Algorithm/2. Support Vector Machines Algorithm With Python.mp4 143.3 MB
11. K Means Clustering Algorithm/4. K Means Clustering Algorithm Project Solutions.mp4 134.8 MB
13. Principal Component Analysis (PCA)/2. Principal Component Analysis (PCA) With Python.mp4 133.1 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/3. Logistic Regression Algorithm With Python Part 2.mp4 120.4 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/6. Logistic Regression Algorithm Project Solutions.mp4 119.8 MB
2. Evalution Metrics/2. Evaluating Performance Classification Error Metrics.mp4 117.6 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/2. Logistic Regression Algorithm With Python Part 1.mp4 115.8 MB
8. Decision Trees And Random Forest Algorithm/4. Decision Trees And Random Forest Algorithm Project Solutions Part 1.mp4 111.0 MB
9. Support Vector Machine Algorithm/4. Support Vector Machines Algorithm Project Solutions.mp4 102.7 MB
14. Recommender System Algorithm/2. Recommender System Algorithm With Python Part 1.mp4 98.6 MB
14. Recommender System Algorithm/3. Recommender System Algorithm With Python Part 2.mp4 97.6 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/1. Logistic Regression Algorithm Theory.mp4 96.0 MB
11. K Means Clustering Algorithm/2. K Means Clustering Algorithm With Python.mp4 93.4 MB
8. Decision Trees And Random Forest Algorithm/2. Decision Trees And Random Forest Algorithm With Python.mp4 90.4 MB
8. Decision Trees And Random Forest Algorithm/5. Decision Trees And Random Forest Algorithm Project Solutions Part 2.mp4 88.5 MB
2. Evalution Metrics/4. Machine Learning With Python.mp4 70.0 MB

[磁力链接] 添加时间:2022-02-18 大小:3.3 GB 最近下载:2025-11-03 热度:1224

Udemy - Complete Machine Learning and Data Science Zero to Mastery

5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
17. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
9. Scikit-learn Creating Machine Learning Models/38. Tuning Hyperparameters.mp4 184.1 MB
17. Career Advice + Extra Bits/3. What If I Don_t Have Enough Experience.mp4 168.8 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Feature Engineering.mp4 166.9 MB
9. Scikit-learn Creating Machine Learning Models/44. Putting It All Together.mp4 166.0 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Turning Data Into Numbers.mp4 153.3 MB
5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
9. Scikit-learn Creating Machine Learning Models/14. Choosing The Right Model For Your Data.mp4 150.2 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Feature Importance.mp4 149.2 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/17. Preproccessing Our Data.mp4 146.1 MB
11. Milestone Project 1 Supervised Learning (Binary Classification)/9. Finding Patterns 3.mp4 144.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/5. Exploring Our Data.mp4 144.5 MB
9. Scikit-learn Creating Machine Learning Models/13. Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4 143.5 MB
9. Scikit-learn Creating Machine Learning Models/11. Getting Your Data Ready Convert Data To Numbers.mp4 141.6 MB
17. Career Advice + Extra Bits/11. Contributing To Open Source.mp4 136.6 MB
11. Milestone Project 1 Supervised Learning (Binary Classification)/20. Finding The Most Important Features.mp4 133.7 MB
5. Data Science Environment Setup/6. Mac Environment Setup 2.mp4 131.6 MB

[磁力链接] 添加时间:2021-04-12 大小:14.2 GB 最近下载:2025-07-03 热度:1210

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

37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
29. Apriori/6. Apriori in Python - Step 4.mp4 172.3 MB
37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.mp4 160.2 MB
43. Model Selection/3. Grid Search in Python.mp4 159.2 MB
17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4 153.7 MB
23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4 142.6 MB
27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.mp4 142.5 MB
13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4 129.6 MB
26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4 126.4 MB
16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4 124.4 MB
37. Convolutional Neural Networks/13. CNN in Python - Step 3.mp4 124.3 MB
39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4 118.4 MB
43. Model Selection/2. k-Fold Cross Validation in Python.mp4 117.8 MB
36. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 116.4 MB
21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4 113.3 MB
29. Apriori/4. Apriori in Python - Step 2.mp4 112.9 MB
37. Convolutional Neural Networks/12. CNN in Python - Step 2.mp4 112.1 MB
18. Support Vector Machine (SVM)/4. SVM in Python.mp4 109.9 MB
34. -------------------- Part 7 Natural Language Processing --------------------/5. Bag-Of-Words Model.mp4 108.5 MB
40. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 107.0 MB

[磁力链接] 添加时间:2021-03-25 大小:12.3 GB 最近下载:2025-11-01 热度:1197

[FreeCourseSite.com] Udemy - Python for Data Science & Machine Learning from A-Z

19. PCA/7. PCA - Image Compression.mp4 262.1 MB
16. Ensemble Learning and Random Forests/6. Implementing Random Forests from scratch Part 1.mp4 212.4 MB
15. Decision Trees/7. ID3 - Putting Everything Together.mp4 191.3 MB
14. K Nearest Neighbors/3. EDA on Iris Dataset.mp4 169.7 MB
15. Decision Trees/3. What is Entropy and Information Gain.mp4 142.7 MB
19. PCA/9. PCA - Biplot and the Screen Plot.mp4 142.2 MB
1. Introduction/6. How To Get a Data Science Job.mp4 137.6 MB
1. Introduction/5. What is a Data Scientist.mp4 133.7 MB
17. Support Vector Machines/6. SVM - Kernel Types.mp4 132.5 MB
15. Decision Trees/2. EDA on Adult Dataset.mp4 129.2 MB
15. Decision Trees/8. Evaluating our ID3 implementation.mp4 127.9 MB
19. PCA/8. PCA Data Preprocessing.mp4 126.3 MB
15. Decision Trees/13. Pruning.mp4 118.5 MB
17. Support Vector Machines/8. SVM with Non-linear Dataset.mp4 117.0 MB
13. Linear and Logistic Regression/3. Linear Regression + Correlation Methods.mp4 115.7 MB
18. K-means/3. Representing Clusters.mp4 114.9 MB
3. Python For Data Science/15. Python Dictionaries.mp4 109.2 MB
17. Support Vector Machines/7. SVM with Linear Dataset (Iris).mp4 106.5 MB
18. K-means/1. Unsupervised Machine Learning Intro.mp4 105.8 MB
9. Machine Learning/1. Introduction To Machine Learning.mp4 103.5 MB

[磁力链接] 添加时间:2022-01-13 大小:7.9 GB 最近下载:2025-10-15 热度:1195

[FreeCourseSite.com] Udemy - Complete 2020 Data Science & Machine Learning Bootcamp

4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
4. 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
5. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
3. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
5. 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
8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
4. 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
12. Serving a Tensorflow Model through a Website/7. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
12. Serving a Tensorflow Model through a Website/9. Styling an HTML Canvas.mp4 196.5 MB
12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 180.3 MB

[磁力链接] 添加时间:2021-04-04 大小:18.4 GB 最近下载:2025-07-27 热度:1179