udemy data science -移花宫 -武林禁地，闲人禁止入内

Udemy - Data Science Methods and Algorithms [2025] (11.2024)

5 - Master Classification & Supervised Learning/5 -The Decision Tree Classifier.mp4 575.8 MB
4 - Master Regression, Prediction & Supervised Learning/10 -Regression Regularization, Lasso and Ridge models (X).mp4 545.6 MB
6 - Master Cluster Analysis and Unsupervised Learning/3 -Auto-updated K-Means Cluster Analysis, introduction and simulation.mp4 532.1 MB
4 - Master Regression, Prediction & Supervised Learning/11 -Decision Tree Regression models (XI).mp4 499.3 MB
2 - Master Python for Data Handling/6 -Python Strings and DateTime Objects.mp4 492.5 MB
4 - Master Regression, Prediction & Supervised Learning/12 -Random Forest Regression (XII).mp4 430.4 MB
4 - Master Regression, Prediction & Supervised Learning/9 -Multivariate Polynomial Multiple Regression models (VIIII).mp4 428.7 MB
2 - Master Python for Data Handling/21 -Python Object Oriented Programming IV Recap and More.mp4 425.6 MB
6 - Master Cluster Analysis and Unsupervised Learning/6 -Principal Component Analysis (PCA).mp4 408.3 MB
5 - Master Classification & Supervised Learning/2 -Logistic Regression Classifier.mp4 398.2 MB
5 - Master Classification & Supervised Learning/7 -Linear Discriminant Analysis (LDA) [Extra Video].mp4 383.6 MB
2 - Master Python for Data Handling/19 -Python Object Oriented Programming II create your own custom objects.mp4 355.2 MB
4 - Master Regression, Prediction & Supervised Learning/6 -Linear Multiple Regression model (VI).mp4 354.7 MB
6 - Master Cluster Analysis and Unsupervised Learning/4 -Density-Based Spatial Clustering of Applications with Noise (DBSCAN).mp4 350.6 MB
5 - Master Classification & Supervised Learning/6 -The Random Forest Classifier.mp4 347.7 MB
5 - Master Classification & Supervised Learning/3 -The Naive Bayes Classifier.mp4 344.1 MB
5 - Master Classification & Supervised Learning/4 -K-Nearest Neighbor Classifier (KNN) [Extra Video].mp4 339.0 MB
4 - Master Regression, Prediction & Supervised Learning/3 -The Traditional Simple Regression Model (III).mp4 332.9 MB
3 - Master Pandas for Data Handling/22 -Pandas Data Preparation IV Missing Data & Imputation.mp4 327.1 MB
6 - Master Cluster Analysis and Unsupervised Learning/2 -K-Means Cluster Analysis.mp4 294.9 MB

[磁力链接] 添加时间:2025-07-28 大小:18.9 GB 最近下载:2025-08-20 热度:58

[FreeCourseSite.com] Udemy - Data Science Masterclass With R! 4 Projects+8 Case Studies

16. SUPERVISED LEARNING REGRESSION/5. Linear Regression 5.mp4 259.5 MB
18. Logistic Regression/7. Telecom Churn Case Study.mp4 259.4 MB
30. Capstone Project - Big Mart Sell/5. Big Mart Sale - Pre-Processing.mp4 246.5 MB
16. SUPERVISED LEARNING REGRESSION/3. Linear Regression 3.mp4 244.4 MB
3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.vtt 229.3 MB
3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.mp4 229.2 MB
24. Capstone Project - Titanic Survival/9. Capstone Project - Decision Tree.mp4 216.2 MB
29. Association Rule Mining/4. Association Rule Mining - Case Study.mp4 214.0 MB
30. Capstone Project - Big Mart Sell/6. Big Mart Sale - Model Building & Evaluation.mp4 210.8 MB
31. Model Deployment/3. Model Deployment - Steps To Follow.mp4 209.1 MB
24. Capstone Project - Titanic Survival/7. Capstone Project - Logistics Regression.mp4 202.9 MB
8. Data Manipulation/4. Data Manipulation - mutate.mp4 195.3 MB
8. Data Manipulation/5. Data Manipulation - filter.mp4 195.2 MB
28. Principal Component Analysis (PCA)/2. PCA - R Code Implementation.mp4 190.7 MB
16. SUPERVISED LEARNING REGRESSION/4. Linear Regression 4.mp4 188.1 MB
19. K-NN/4. K-NN Case Study.mp4 186.2 MB
25. K-Mean Clustering/3. K-Mean Clustering R Code Implementation.mp4 182.5 MB
28. Principal Component Analysis (PCA)/3. PCA - Case Study.mp4 180.1 MB
10. Introduction To Statistics/12. Intro To Stat - Part 7.mp4 177.0 MB
26. Hierarchical Clustering/2. Hierarchical Clustering R Code Implementation.mp4 176.6 MB

[磁力链接] 添加时间:2022-05-11 大小:18.7 GB 最近下载:2025-08-18 热度:257

[DesireCourse.Net] Udemy - Data Science Masterclass With R! 4 Projects+8 Case Studies

16. SUPERVISED LEARNING REGRESSION/5. Linear Regression 5.mp4 259.5 MB
18. Logistic Regression/7. Telecom Churn Case Study.mp4 259.4 MB
30. Capstone Project - Big Mart Sell/5. Big Mart Sale - Pre-Processing.mp4 246.5 MB
16. SUPERVISED LEARNING REGRESSION/3. Linear Regression 3.mp4 244.4 MB
3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.vtt 229.3 MB
3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.mp4 229.2 MB
24. Capstone Project - Titanic Survival/9. Capstone Project - Decision Tree.mp4 216.2 MB
29. Association Rule Mining/4. Association Rule Mining - Case Study.mp4 214.0 MB
30. Capstone Project - Big Mart Sell/6. Big Mart Sale - Model Building & Evaluation.mp4 210.8 MB
31. Model Deployment/3. Model Deployment - Steps To Follow.mp4 209.1 MB
24. Capstone Project - Titanic Survival/7. Capstone Project - Logistics Regression.mp4 202.9 MB
8. Data Manipulation/4. Data Manipulation - mutate.mp4 195.3 MB
8. Data Manipulation/5. Data Manipulation - filter.mp4 195.2 MB
28. Principal Component Analysis (PCA)/2. PCA - R Code Implementation.mp4 190.7 MB
16. SUPERVISED LEARNING REGRESSION/4. Linear Regression 4.mp4 188.1 MB
19. K-NN/4. K-NN Case Study.mp4 186.2 MB
25. K-Mean Clustering/3. K-Mean Clustering R Code Implementation.mp4 182.5 MB
28. Principal Component Analysis (PCA)/3. PCA - Case Study.mp4 180.1 MB
10. Introduction To Statistics/12. Intro To Stat - Part 7.mp4 177.0 MB
26. Hierarchical Clustering/2. Hierarchical Clustering R Code Implementation.mp4 176.6 MB

[磁力链接] 添加时间:2022-02-26 大小:18.7 GB 最近下载:2025-08-17 热度:2932

GetFreeCourses.Co-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:2022-02-15 大小:18.4 GB 最近下载:2025-08-11 热度:1580

[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

[FreeCourseSite.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:2022-02-06 大小:18.4 GB 最近下载:2025-08-12 热度:3266

[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:2021-03-14 大小:18.4 GB 最近下载:2025-08-21 热度:1568

[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

GetFreeCourses.Co-Udemy-Complete 2020 Data Science & Machine Learning Bootcamp.zip

GetFreeCourses.Co-Udemy-Complete 2020 Data Science & Machine Learning Bootcamp.zip 18.1 GB

[磁力链接] 添加时间:2021-05-10 大小:18.1 GB 最近下载:2025-08-18 热度:958

[DesireCourse.Net] Udemy - Complete 2020 Data Science & Machine Learning Bootcamp

[DesireCourse.Net] Udemy - Complete 2020 Data Science & Machine Learning Bootcamp.zip 18.1 GB
[FreeCourseWorld.Com].url 54 Bytes
[DesireCourse.Net].url 51 Bytes

[磁力链接] 添加时间:2021-03-06 大小:18.1 GB 最近下载:2025-08-12 热度:1007

[FreeCourseSite.com] Udemy - Data Science Masterclass With R! 4 Projects+8 Case Studies

1. Meet Your Instructor/1. Meet Your Instructor.mp4 21.6 MB
1. Meet Your Instructor/1. Meet Your Instructor.vtt 2.9 kB
1. Meet Your Instructor/2. Course Curriculum Overview.html 91 Bytes
1. Meet Your Instructor/2.1 Data Science - Course Carriculum Udemy.xlsx.xlsx 23.1 kB
10. Introduction To Statistics/1. Intro To Stat - Part 1.mp4 112.1 MB
10. Introduction To Statistics/1. Intro To Stat - Part 1.vtt 14.9 kB
10. Introduction To Statistics/10. Introduction To Statistic - Part 5 STUDY NOTE.html 4.8 kB
10. Introduction To Statistics/11. Intro To Stat - Part 6.mp4 72.8 MB
10. Introduction To Statistics/11. Intro To Stat - Part 6.vtt 9.1 kB
10. Introduction To Statistics/12. Intro To Stat - Part 7.mp4 171.7 MB
10. Introduction To Statistics/12. Intro To Stat - Part 7.vtt 16.3 kB
10. Introduction To Statistics/13. Introduction To Statistic - Part 7 STUDY NOTE.html 3.8 kB
10. Introduction To Statistics/14. Intro To Stat - Part 8.mp4 120.7 MB
10. Introduction To Statistics/14. Intro To Stat - Part 8.vtt 11.7 kB
10. Introduction To Statistics/15. Introduction To Statistic - Part 8 STUDY NOTE.html 1.8 kB
10. Introduction To Statistics/16. Intro To Stat - Part 9.mp4 113.5 MB
10. Introduction To Statistics/16. Intro To Stat - Part 9.vtt 11.1 kB
10. Introduction To Statistics/17. Introduction To Statistic - Part 9 STUDY NOTE.html 8.5 kB
10. Introduction To Statistics/18. Intro To Stat - Part 10.mp4 152.0 MB
10. Introduction To Statistics/18. Intro To Stat - Part 10.vtt 15.7 kB

[磁力链接] 添加时间:2018-12-02 大小:17.9 GB 最近下载:2025-08-20 热度:460

[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:2025-08-15 热度:1324

[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 245.5 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:2023-12-18 大小:17.8 GB 最近下载:2025-08-17 热度:5221

[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:2025-08-18 热度:4330

[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:2025-08-20 热度:1677

[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:2025-08-21 热度:8388

[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

[GigaCourse.Com] Udemy - 2022 Python for Machine Learning & Data Science Masterclass

23 - Hierarchical Clustering/210 - Hierarchical Clustering Coding Part Two ScikitLearn.mp4 331.0 MB
5 - Pandas/46 - Pandas Project Exercise Solutions.mp4 300.7 MB
13 - Logistic Regression/137 - Logistic Regression Project Exercise Solutions.mp4 276.4 MB
8 - Data Analysis and Visualization Capstone Project Exercise/75 - Capstone Project Solutions Part Three.mp4 229.4 MB
17 - Random Forests/168 - Coding Classification with Random Forest Classifier Part Two.mp4 216.2 MB
24 - DBSCAN Densitybased spatial clustering of applications with noise/217 - DBSCAN Outlier Project Exercise Solutions.mp4 206.8 MB
25 - PCA Principal Component Analysis and Manifold Learning/224 - PCA Project Exercise Solution.mp4 202.1 MB
11 - Feature Engineering and Data Preparation/111 - Dealing with Missing Data Part Two Filling or Dropping data based on Rows.mp4 195.0 MB
16 - Tree Based Methods Decision Tree Learning/161 - Coding Decision Trees Part Two Creating the Model.mp4 191.2 MB
8 - Data Analysis and Visualization Capstone Project Exercise/73 - Capstone Project Solutions Part One.mp4 187.8 MB
19 - Supervised Learning Capstone Project Cohort Analysis and Tree Based Methods/183 - Solution Walkthrough Supervised Learning Project Tree Models.mp4 183.2 MB
7 - Seaborn Data Visualizations/59 - Scatterplots with Seaborn.mp4 182.8 MB
7 - Seaborn Data Visualizations/71 - Seaborn Plot Exercises Solutions.mp4 180.3 MB
14 - KNN K Nearest Neighbors/143 - KNN Classification Project Exercise Solutions.mp4 178.6 MB
19 - Supervised Learning Capstone Project Cohort Analysis and Tree Based Methods/181 - Solution Walkthrough Supervised Learning Project Data and EDA.mp4 177.2 MB
26 - Model Deployment/227 - Model Persistence.mp4 175.7 MB
5 - Pandas/41 - Pandas Input and Output HTML Tables.mp4 175.6 MB
13 - Logistic Regression/135 - MultiClass Classification with Logistic Regression Part Two Model.mp4 175.4 MB
11 - Feature Engineering and Data Preparation/112 - Dealing with Missing Data Part 3 Fixing data based on Columns.mp4 163.1 MB
8 - Data Analysis and Visualization Capstone Project Exercise/74 - Capstone Project Solutions Part Two.mp4 161.9 MB

[磁力链接] 添加时间:2023-12-18 大小:17.5 GB 最近下载:2025-08-21 热度:4204

GetFreeCourses.Co-Udemy-Machine Learning A-Z™ Python & R in Data Science [2023]

41 - Kernel PCA/372 - Kernel PCA in R.mp4 418.7 MB
29 - Apriori/271 - Apriori in R Step 3.mp4 282.1 MB
36 - Artificial Neural Networks/339 - ANN in R Step 1.mp4 238.7 MB
37 - Convolutional Neural Networks/345 - dataset.zip 232.0 MB
36 - Artificial Neural Networks/341 - ANN in R Step 3.mp4 212.6 MB
20 - Naive Bayes/197 - Bayes Theorem.mp4 204.7 MB
29 - Apriori/268 - Apriori in Python Step 4.mp4 201.8 MB
43 - Model Selection/375 - Grid Search in Python.mp4 196.8 MB
37 - Convolutional Neural Networks/359 - CNN in Python FINAL DEMO.mp4 195.1 MB
35 - Part 8 Deep Learning/324 - What is Deep Learning.mp4 186.8 MB
39 - Principal Component Analysis PCA/365 - PCA in R Step 1.mp4 184.3 MB
37 - Convolutional Neural Networks/355 - CNN in Python Step 2.mp4 182.9 MB
40 - Linear Discriminant Analysis LDA/370 - LDA in R.mp4 173.3 MB
32 - Upper Confidence Bound UCB/287 - Upper Confidence Bound in R Step 3.mp4 172.7 MB
29 - Apriori/270 - Apriori in R Step 2.mp4 169.8 MB
44 - XGBoost/378 - XGBoost in Python.mp4 149.5 MB
37 - Convolutional Neural Networks/358 - CNN in Python Step 5.mp4 147.0 MB
37 - Convolutional Neural Networks/349 - Step 2 Pooling.mp4 146.2 MB
34 - Part 7 Natural Language Processing/307 - Natural Language Processing in Python Step 5.mp4 143.5 MB
39 - Principal Component Analysis PCA/363 - PCA in Python Step 1.mp4 143.0 MB

[磁力链接] 添加时间:2024-02-25 大小:17.4 GB 最近下载:2025-08-13 热度:5226

[GigaCourse.Com] Udemy - The Data Science Course Complete Data Science Bootcamp 2023

11 - Probability Bayesian Inference/51 - A Practical Example of Bayesian Inference.mp4 313.5 MB
12 - Probability Distributions/66 - A Practical Example of Probability Distributions.mp4 297.5 MB
16 - Statistics Practical Example Descriptive Statistics/93 - Practical Example Descriptive Statistics.mp4 259.3 MB
35 - Advanced Statistical Methods Practical Example Linear Regression/224 - Practical Example Linear Regression Part 1.mp4 184.7 MB
5 - The Field of Data Science Popular Data Science Techniques/11 - Techniques for Working with Traditional Data.mp4 173.6 MB
64 - Appendix Working with Text Files in Python/505 - Importing Data from json Files.mp4 167.5 MB
58 - Case Study Preprocessing the Absenteeismdata/420 - Obtaining Dummies from a Single Feature.mp4 159.1 MB
55 - Appendix Deep Learning TensorFlow 1 Business Case/393 - Business Case Preprocessing.mp4 153.4 MB
51 - Deep Learning Business Case Example/354 - Business Case Preprocessing the Data.mp4 152.2 MB
3 - The Field of Data Science Connecting the Data Science Disciplines/9 - Applying Traditional Data Big Data BI Traditional Data Science and ML.mp4 141.2 MB
19 - Statistics Practical Example Inferential Statistics/118 - Practical Example Inferential Statistics.mp4 140.5 MB
6 - The Field of Data Science Popular Data Science Tools/22 - Necessary Programming Languages and Software Used in Data Science.mp4 138.5 MB
55 - Appendix Deep Learning TensorFlow 1 Business Case/390 - Business Case Getting Acquainted with the Dataset.mp4 130.7 MB
58 - Case Study Preprocessing the Absenteeismdata/425 - Classifying the Various Reasons for Absence.mp4 128.6 MB
10 - Probability Combinatorics/39 - A Practical Example of Combinatorics.mp4 126.7 MB
58 - Case Study Preprocessing the Absenteeismdata/412 - Checking the Content of the Data Set.mp4 121.7 MB
40 - Part 6 Mathematics/281 - Why is Linear Algebra Useful.mp4 118.9 MB
5 - The Field of Data Science Popular Data Science Techniques/17 - Techniques for Working with Traditional Methods.mp4 118.2 MB
64 - Appendix Working with Text Files in Python/502 - Importing Data with loadtxt and genfromtxt.mp4 116.3 MB
55 - Appendix Deep Learning TensorFlow 1 Business Case/395 - Creating a Data Provider.mp4 115.6 MB

[磁力链接] 添加时间:2023-12-21 大小:17.4 GB 最近下载:2025-08-07 热度:4689