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

[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 245.7 MB
09 - Scikit-learn_ Creating Machine Learning Models/040 NEW_ Evaluating A Model With Cross Validation and Scoring Parameter.mp4 235.8 MB
05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4 200.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4 193.6 MB
16 - Career Advice + Extra Bits/009 CWD_ Git + Github.mp4 184.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/008 Optional_ Debugging Warnings In Jupyter.mp4 179.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/043 Tuning Hyperparameters.mp4 176.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4 171.0 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/008 Feature Engineering.mp4 165.0 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4 161.2 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 151.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/050 Putting It All Together.mp4 150.2 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/021 Feature Importance.mp4 147.4 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/037 Visualizing And Evaluate Model Predictions 2.mp4 147.1 MB
05 - Data Science Environment Setup/005 Mac Environment Setup.mp4 146.3 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 142.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images.mp4 138.5 MB
09 - Scikit-learn_ Creating Machine Learning Models/016 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4 137.7 MB

[磁力链接] 添加时间:2022-01-31 大小:17.5 GB 最近下载:2025-03-12 热度:3363

[FreeCourseSite.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 245.7 MB
09 - Scikit-learn_ Creating Machine Learning Models/040 NEW_ Evaluating A Model With Cross Validation and Scoring Parameter.mp4 235.8 MB
05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4 200.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4 193.6 MB
16 - Career Advice + Extra Bits/009 CWD_ Git + Github.mp4 184.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/008 Optional_ Debugging Warnings In Jupyter.mp4 179.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/043 Tuning Hyperparameters.mp4 176.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4 171.0 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/008 Feature Engineering.mp4 165.0 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4 161.2 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 151.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/050 Putting It All Together.mp4 150.2 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/021 Feature Importance.mp4 147.4 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/037 Visualizing And Evaluate Model Predictions 2.mp4 147.1 MB
05 - Data Science Environment Setup/005 Mac Environment Setup.mp4 146.3 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 142.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images.mp4 138.5 MB
09 - Scikit-learn_ Creating Machine Learning Models/016 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4 137.7 MB

[磁力链接] 添加时间:2022-01-11 大小:17.5 GB 最近下载:2025-03-12 热度:1195

[Udemy] Complete Machine Learning & Data Science Bootcamp 2022 (11.2021)

09 - Scikit-learn_ Creating Machine Learning Models/017 NEW_ Choosing The Right Model For Your Data.mp4 245.7 MB
09 - Scikit-learn_ Creating Machine Learning Models/040 NEW_ Evaluating A Model With Cross Validation and Scoring Parameter.mp4 235.8 MB
05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4 200.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4 193.6 MB
16 - Career Advice + Extra Bits/009 CWD_ Git + Github.mp4 184.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/008 Optional_ Debugging Warnings In Jupyter.mp4 179.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/043 Tuning Hyperparameters.mp4 176.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4 171.0 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/008 Feature Engineering.mp4 165.0 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4 161.2 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 151.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/050 Putting It All Together.mp4 150.2 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/021 Feature Importance.mp4 147.4 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/037 Visualizing And Evaluate Model Predictions 2.mp4 147.1 MB
05 - Data Science Environment Setup/005 Mac Environment Setup.mp4 146.3 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 142.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images.mp4 138.5 MB
09 - Scikit-learn_ Creating Machine Learning Models/016 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4 137.7 MB

[磁力链接] 添加时间:2022-02-03 大小:17.5 GB 最近下载:2025-03-12 热度:6607

[Udemy] Complete Machine Learning & Data Science Bootcamp 2022 (11.2021)

09 - Scikit-learn_ Creating Machine Learning Models/017 NEW_ Choosing The Right Model For Your Data.mp4 245.7 MB
09 - Scikit-learn_ Creating Machine Learning Models/040 NEW_ Evaluating A Model With Cross Validation and Scoring Parameter.mp4 235.8 MB
05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4 200.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4 193.6 MB
16 - Career Advice + Extra Bits/009 CWD_ Git + Github.mp4 184.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/008 Optional_ Debugging Warnings In Jupyter.mp4 179.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/043 Tuning Hyperparameters.mp4 176.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4 171.0 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/008 Feature Engineering.mp4 165.0 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4 161.2 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 151.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/050 Putting It All Together.mp4 150.2 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/021 Feature Importance.mp4 147.4 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/037 Visualizing And Evaluate Model Predictions 2.mp4 147.1 MB
05 - Data Science Environment Setup/005 Mac Environment Setup.mp4 146.3 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 142.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images.mp4 138.5 MB
09 - Scikit-learn_ Creating Machine Learning Models/016 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4 137.7 MB

[磁力链接] 添加时间:2022-02-05 大小:17.5 GB 最近下载:2025-03-03 热度:7

Complete Data Science & Machine Learning Bootcamp - Python 3.rar

Complete Data Science & Machine Learning Bootcamp - Python 3.rar 15.9 GB

[磁力链接] 添加时间:2021-03-14 大小:15.9 GB 最近下载:2025-02-09 热度:245

Complete 2020 Data Science & Machine Learning Bootcamp

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
Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
Complete 2020 Data Science & Machine Learning Bootcamp/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
Complete 2020 Data Science & Machine Learning Bootcamp/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
Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.4 MB
Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.7 MB
Complete 2020 Data Science & Machine Learning Bootcamp/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
Complete 2020 Data Science & Machine Learning Bootcamp/5. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
Complete 2020 Data Science & Machine Learning Bootcamp/11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
Complete 2020 Data Science & Machine Learning Bootcamp/8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
Complete 2020 Data Science & Machine Learning Bootcamp/8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.mp4 179.8 MB
Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/19. Working with Python Objects to Analyse Data.mp4 178.2 MB
Complete 2020 Data Science & Machine Learning Bootcamp/5. Predict House Prices with Multivariable Linear Regression/11. Visualising Correlations with a Heatmap.mp4 176.8 MB
Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.mp4 164.4 MB
Complete 2020 Data Science & Machine Learning Bootcamp/11. Use Tensorflow to Classify Handwritten Digits/11. Name Scoping and Image Visualisation in Tensorboard.mp4 162.9 MB
Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/9. [Python & Pandas] - Dataframes and Series.mp4 160.7 MB
Complete 2020 Data Science & Machine Learning Bootcamp/5. Predict House Prices with Multivariable Linear Regression/26. Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.mp4 160.4 MB

[磁力链接] 添加时间:2021-04-03 大小:15.9 GB 最近下载:2025-03-10 热度:754

[DesireCourse.Net] Udemy - Complete 2019 Data Science & Machine Learning Bootcamp

[DesireCourse.Net] Udemy - Complete 2019 Data Science & Machine Learning Bootcamp.zip 15.8 GB
[DesireCourse.Net].url 51 Bytes
[CourseClub.Me].url 48 Bytes

[磁力链接] 添加时间:2022-03-05 大小:15.8 GB 最近下载:2025-02-20 热度:294

Complete Data Science & Machine Learning Bootcamp - Python 3

Complete Data Science & Machine Learning Bootcamp - Python 3.zip 15.8 GB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
TutsGalaxy.com.txt 52 Bytes

[磁力链接] 添加时间:2021-03-16 大小:15.8 GB 最近下载:2025-03-13 热度:5260

[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:2025-03-12 热度:275

[DesireCourse.Net] 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:2024-03-28 大小:14.2 GB 最近下载:2025-03-13 热度:214

GetFreeCourses.Me-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:2021-03-07 大小:14.2 GB 最近下载:2025-03-14 热度:1280

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:2025-02-20 热度:1051

GetFreeCourses.Co-Udemy-Complete 2022 Data Science & Machine Learning Bootcamp

04 - Introduction to Optimisation and the Gradient Descent Algorithm/007 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 240.6 MB
12 - Serving a Tensorflow Model through a Website/014 Calculating the Centre of Mass and Shifting the Image.mp4 220.7 MB
05 - Predict House Prices with Multivariable Linear Regression/031 Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 210.7 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/012 Model Evaluation and the Confusion Matrix.mp4 202.6 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/009 Understanding the Learning Rate.mp4 199.4 MB
03 - Python Programming for Data Science and Machine Learning/008 [Python] - Module Imports.mp4 195.9 MB
12 - Serving a Tensorflow Model through a Website/007 Loading a Tensorflow.js Model and Starting your own Server.mp4 183.9 MB
05 - Predict House Prices with Multivariable Linear Regression/014 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 183.7 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/010 Use the Model to Make Predictions.mp4 182.3 MB
11 - Use Tensorflow to Classify Handwritten Digits/012 Different Model Architectures Experimenting with Dropout.mp4 182.3 MB
12 - Serving a Tensorflow Model through a Website/009 Styling an HTML Canvas.mp4 181.1 MB
12 - Serving a Tensorflow Model through a Website/010 Drawing on an HTML Canvas.mp4 167.0 MB
12 - Serving a Tensorflow Model through a Website/016 Adding the Game Logic.mp4 165.9 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/009 Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 159.9 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/010 How to Create 3-Dimensional Charts.mp4 159.4 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/006 Visualising the Decision Boundary.mp4 156.7 MB
12 - Serving a Tensorflow Model through a Website/013 Resizing and Adding Padding to Images.mp4 155.0 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/011 A Naive Bayes Implementation using SciKit Learn.mp4 152.8 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/008 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 152.3 MB
03 - Python Programming for Data Science and Machine Learning/013 How to Make Sense of Python Documentation for Data Visualisation.mp4 144.8 MB

[磁力链接] 添加时间:2023-12-20 大小:13.5 GB 最近下载:2025-03-13 热度:1193

[FreeCourseSite.com] Udemy - Complete 2022 Data Science & Machine Learning Bootcamp

04 - Introduction to Optimisation and the Gradient Descent Algorithm/007 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 240.6 MB
12 - Serving a Tensorflow Model through a Website/014 Calculating the Centre of Mass and Shifting the Image.mp4 220.7 MB
05 - Predict House Prices with Multivariable Linear Regression/031 Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 210.7 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/012 Model Evaluation and the Confusion Matrix.mp4 202.6 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/009 Understanding the Learning Rate.mp4 199.4 MB
03 - Python Programming for Data Science and Machine Learning/008 [Python] - Module Imports.mp4 195.9 MB
12 - Serving a Tensorflow Model through a Website/007 Loading a Tensorflow.js Model and Starting your own Server.mp4 183.9 MB
05 - Predict House Prices with Multivariable Linear Regression/014 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 183.7 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/010 Use the Model to Make Predictions.mp4 182.3 MB
11 - Use Tensorflow to Classify Handwritten Digits/012 Different Model Architectures Experimenting with Dropout.mp4 182.3 MB
12 - Serving a Tensorflow Model through a Website/009 Styling an HTML Canvas.mp4 181.1 MB
12 - Serving a Tensorflow Model through a Website/010 Drawing on an HTML Canvas.mp4 167.0 MB
12 - Serving a Tensorflow Model through a Website/016 Adding the Game Logic.mp4 165.9 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/009 Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 159.9 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/010 How to Create 3-Dimensional Charts.mp4 159.4 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/006 Visualising the Decision Boundary.mp4 156.7 MB
12 - Serving a Tensorflow Model through a Website/013 Resizing and Adding Padding to Images.mp4 155.0 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/011 A Naive Bayes Implementation using SciKit Learn.mp4 152.8 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/008 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 152.3 MB
03 - Python Programming for Data Science and Machine Learning/013 How to Make Sense of Python Documentation for Data Visualisation.mp4 144.8 MB

[磁力链接] 添加时间:2024-04-09 大小:13.5 GB 最近下载:2025-03-10 热度:2345

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

53. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4 201.1 MB
53. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4 197.3 MB
55. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4 167.7 MB
54. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4 139.6 MB
1. Installations/1. Installing Anaconda Distribution for Windows.mp4 136.7 MB
52. First Contact with Kaggle/1. What is Kaggle.mp4 136.0 MB
1. Installations/3. Installing Anaconda Distribution for Linux.mp4 133.4 MB
59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4 133.0 MB
52. First Contact with Kaggle/5. Getting to Know the Kaggle Homepage.mp4 128.9 MB
59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Hearth Attack Prediction Project.mp4 122.9 MB
32. Matplotlib/8. Basic Plots in Matplotlib I.mp4 116.6 MB
57. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4 112.3 MB
38. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 112.1 MB
55. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4 111.0 MB
59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp4 110.1 MB
36. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 105.2 MB
33. Seaborn/5. Basic Plots in Seaborn.mp4 103.6 MB
36. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 96.7 MB
61. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.mp4 95.8 MB
29. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4 95.1 MB

[磁力链接] 添加时间:2024-02-16 大小:13.1 GB 最近下载:2025-03-13 热度:2970

Complete Data Science & Machine Learning A-Z with Python

[TutsNode.net] - Complete Data Science & Machine Learning A-Z with Python/42. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4 201.0 MB
[TutsNode.net] - Complete Data Science & Machine Learning A-Z with Python/42. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4 197.3 MB
[TutsNode.net] - Complete Data Science & Machine Learning A-Z with Python/44. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4 167.7 MB
[TutsNode.net] - Complete Data Science & Machine Learning A-Z with Python/43. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4 139.7 MB
[TutsNode.net] - Complete Data Science & Machine Learning A-Z with Python/41. First Contact with Kaggle/1. What is Kaggle.mp4 136.0 MB
[TutsNode.net] - Complete Data Science & Machine Learning A-Z with Python/48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4 133.0 MB
[TutsNode.net] - Complete Data Science & Machine Learning A-Z with Python/41. First Contact with Kaggle/5. Getting to Know the Kaggle Homepage.mp4 128.9 MB
[TutsNode.net] - Complete Data Science & Machine Learning A-Z with Python/1. Installations/1. Installing Anaconda Distribution for Windows.mp4 124.1 MB
[TutsNode.net] - Complete Data Science & Machine Learning A-Z with Python/48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Hearth Attack Prediction Project.mp4 122.8 MB
[TutsNode.net] - Complete Data Science & Machine Learning A-Z with Python/1. Installations/5. Installing Anaconda Distribution for Linux.mp4 120.3 MB
[TutsNode.net] - Complete Data Science & Machine Learning A-Z with Python/21. Matplotlib/8. Basic Plots in Matplotlib I.mp4 116.6 MB
[TutsNode.net] - Complete Data Science & Machine Learning A-Z with Python/46. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4 112.2 MB
[TutsNode.net] - Complete Data Science & Machine Learning A-Z with Python/27. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 112.1 MB
[TutsNode.net] - Complete Data Science & Machine Learning A-Z with Python/44. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4 111.0 MB
[TutsNode.net] - Complete Data Science & Machine Learning A-Z with Python/48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp4 110.0 MB
[TutsNode.net] - Complete Data Science & Machine Learning A-Z with Python/25. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 105.1 MB
[TutsNode.net] - Complete Data Science & Machine Learning A-Z with Python/22. Seaborn/5. Basic Plots in Seaborn.mp4 103.6 MB
[TutsNode.net] - Complete Data Science & Machine Learning A-Z with Python/25. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 96.7 MB
[TutsNode.net] - Complete Data Science & Machine Learning A-Z with Python/50. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.mp4 95.8 MB
[TutsNode.net] - Complete Data Science & Machine Learning A-Z with Python/14. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4 95.1 MB

[磁力链接] 添加时间:2023-12-18 大小:11.6 GB 最近下载:2025-03-14 热度:9864

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

42. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4 201.0 MB
42. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4 197.3 MB
44. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4 167.7 MB
43. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4 139.7 MB
41. First Contact with Kaggle/1. What is Kaggle.mp4 136.0 MB
48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4 133.0 MB
41. First Contact with Kaggle/5. Getting to Know the Kaggle Homepage.mp4 128.9 MB
1. Installations/1. Installing Anaconda Distribution for Windows.mp4 124.1 MB
48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Hearth Attack Prediction Project.mp4 122.8 MB
1. Installations/5. Installing Anaconda Distribution for Linux.mp4 120.3 MB
21. Matplotlib/8. Basic Plots in Matplotlib I.mp4 116.6 MB
46. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4 112.2 MB
27. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 112.1 MB
44. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4 111.0 MB
48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp4 110.0 MB
25. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 105.1 MB
22. Seaborn/5. Basic Plots in Seaborn.mp4 103.6 MB
25. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 96.7 MB
50. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.mp4 95.8 MB
14. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4 95.1 MB

[磁力链接] 添加时间:2023-12-17 大小:11.3 GB 最近下载:2025-03-13 热度:3393

Complete Machine Learning & Data Science with R-2019

Complete Machine Learning & Data Science with R-2019.zip 6.3 GB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
TutsGalaxy.com.txt 52 Bytes

[磁力链接] 添加时间:2022-05-08 大小:6.3 GB 最近下载:2025-03-13 热度:290

Complete Machine Learning & Data Science with R-2019

Complete Machine Learning & Data Science with R-2019.zip 6.3 GB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
TutsGalaxy.com.txt 52 Bytes

[磁力链接] 添加时间:2021-03-15 大小:6.3 GB 最近下载:2025-03-09 热度:1859

[ FreeCourseWeb.com ] Packt - Machine Learning and Data Science with Python- A Complete Beginners Guide.zip

[ FreeCourseWeb.com ] Packt - Machine Learning and Data Science with Python- A Complete Beginners Guide.zip 5.6 GB

[磁力链接] 添加时间:2021-03-16 大小:5.6 GB 最近下载:2025-03-13 热度:1599