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[GigaCourse.Com] Udemy - Machine Learning Natural Language Processing in Python (V2)

  • 18. Recurrent Neural Networks/9. Parts-of-Speech (POS) Tagging in Tensorflow.mp4 152.1 MB
  • 3. Vector Models and Text Preprocessing/14. TF-IDF (Code).mp4 131.0 MB
  • 16. Feedforward Artificial Neural Networks/13. CBOW in Tensorflow (Advanced).mp4 123.3 MB
  • 22. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
  • 9. Spam Detection/6. Spam Detection in Python.mp4 112.8 MB
  • 7. Cipher Decryption (Advanced)/4. Genetic Algorithms.mp4 110.3 MB
  • 3. Vector Models and Text Preprocessing/10. Count Vectorizer (Code).mp4 106.9 MB
  • 6. Article Spinner (Intermediate)/4. Article Spinner in Python (pt 1).mp4 100.6 MB
  • 16. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.7 MB
  • 17. Convolutional Neural Networks/6. CNN Architecture.mp4 93.6 MB
  • 11. Text Summarization/8. TextRank in Python (Advanced).mp4 86.3 MB
  • 18. Recurrent Neural Networks/6. GRU and LSTM (pt 1).mp4 86.2 MB
  • 13. Latent Semantic Analysis (Latent Semantic Indexing)/2. SVD (Singular Value Decomposition) Intuition.mp4 85.8 MB
  • 15. The Neuron/4. Text Classification in Tensorflow.mp4 85.6 MB
  • 17. Convolutional Neural Networks/2. What is Convolution.mp4 83.7 MB
  • 3. Vector Models and Text Preprocessing/16. How to Build TF-IDF From Scratch.mp4 83.7 MB
  • 22. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
  • 11. Text Summarization/4. Text Summarization in Python.mp4 82.0 MB
  • 6. Article Spinner (Intermediate)/5. Article Spinner in Python (pt 2).mp4 79.0 MB
  • 17. Convolutional Neural Networks/5. Convolution on Color Images.mp4 78.8 MB
[磁力链接] 添加时间:2024-04-13 大小:7.2 GB 最近下载:2025-10-26 热度:1177

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

  • 01 Welcome to the course/001 Applications of Machine Learning.mp4 10.3 MB
  • 01 Welcome to the course/002 Why Machine Learning is the Future.mp4 15.2 MB
  • 01 Welcome to the course/003 Installing R and R Studio MAC Windows.mp4 24.3 MB
  • 01 Welcome to the course/004 Installing Python and Anaconda MAC Windows.mp4 25.1 MB
  • 01 Welcome to the course/005 BONUS Meet your instructors.html 1.4 kB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/006 Welcome to Part 1 - Data Preprocessing.mp4 3.7 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/007 Get the dataset.mp4 22.2 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/008 Importing the Libraries.mp4 14.2 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/009 Importing the Dataset.mp4 30.0 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/011 Missing Data.mp4 41.2 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/012 Categorical Data.mp4 55.4 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/013 Splitting the Dataset into the Training set and Test set.mp4 53.4 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/014 Feature Scaling.mp4 46.8 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/015 And here is our Data Preprocessing Template.mp4 27.1 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/quizzes/001 Data Preprocessing.html 4.7 kB
  • 03 ------------------------------ Part 2 Regression ------------------------------/016 Welcome to Part 2 - Regression.html 1.1 kB
  • 04 Simple Linear Regression/017 How to get the dataset.mp4 12.3 MB
  • 04 Simple Linear Regression/018 Dataset Business Problem Description.mp4 8.1 MB
  • 04 Simple Linear Regression/019 Simple Linear Regression Intuition - Step 1.mp4 11.0 MB
  • 04 Simple Linear Regression/020 Simple Linear Regression Intuition - Step 2.mp4 6.3 MB
[磁力链接] 添加时间:2018-03-03 大小:7.2 GB 最近下载:2025-10-26 热度:1978

Udemy - PyTorch for Deep Learning with Python Bootcamp (9.2019)

  • 1. Course Overview, Installs, and Setup/1.1 PYTORCH_NOTEBOOKS.zip.zip 205.5 MB
  • 1. Course Overview, Installs, and Setup/2.1 PYTORCH_NOTEBOOKS.zip.zip 205.5 MB
  • 8. CNN - Convolutional Neural Networks/17. Loading Real Image Data - Part Two.mp4 172.2 MB
  • 7. ANN - Artificial Neural Networks/16. Full ANN Code Along - Regression - Part One - Feature Engineering.mp4 169.5 MB
  • 8. CNN - Convolutional Neural Networks/18. CNN on Custom Images - Part One - Loading Data.mp4 166.6 MB
  • 7. ANN - Artificial Neural Networks/10. Linear Regression with PyTorch - Part Two.mp4 157.1 MB
  • 8. CNN - Convolutional Neural Networks/15. CIFAR-10 DataSet with CNN - Code Along - Part Two.mp4 153.4 MB
  • 9. Recurrent Neural Networks/10. RNN on a Time Series - Part Two.mp4 147.5 MB
  • 9. Recurrent Neural Networks/8. Basic RNN - Training and Forecasting.mp4 143.3 MB
  • 7. ANN - Artificial Neural Networks/22. ANN - Exercise Solutions.mp4 142.4 MB
  • 7. ANN - Artificial Neural Networks/17. Full ANN Code Along - Regression - Part 2 - Categorical and Continuous Features.mp4 135.5 MB
  • 8. CNN - Convolutional Neural Networks/11. MNIST with CNN - Code Along - Part One.mp4 128.9 MB
  • 7. ANN - Artificial Neural Networks/19. Full ANN Code Along - Regression - Part Four - Training and Evaluation.mp4 122.9 MB
  • 8. CNN - Convolutional Neural Networks/3. ANN with MNIST - Part One - Data.mp4 122.4 MB
  • 1. Course Overview, Installs, and Setup/2. Installation and Environment Setup.mp4 121.6 MB
  • 7. ANN - Artificial Neural Networks/18. Full ANN Code Along - Regression - Part Three - Tabular Model.mp4 120.6 MB
  • 10. Using a GPU with PyTorch and CUDA/2. Using GPU for PyTorch.mp4 119.6 MB
  • 11. NLP with PyTorch/2. Encoding Text Data.mp4 114.7 MB
  • 7. ANN - Artificial Neural Networks/11. DataSets with PyTorch.mp4 114.4 MB
  • 8. CNN - Convolutional Neural Networks/12. MNIST with CNN - Code Along - Part Two.mp4 110.6 MB
[磁力链接] 添加时间:2025-08-11 大小:7.2 GB 最近下载:2025-10-26 热度:173

[FreeCourseSite.com] Udemy - Machine Learning Natural Language Processing in Python (V2)

  • 18. Recurrent Neural Networks/9. Parts-of-Speech (POS) Tagging in Tensorflow.mp4 152.2 MB
  • 3. Vector Models and Text Preprocessing/14. TF-IDF (Code).mp4 131.0 MB
  • 16. Feedforward Artificial Neural Networks/13. CBOW in Tensorflow (Advanced).mp4 123.3 MB
  • 21. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
  • 9. Spam Detection/6. Spam Detection in Python.mp4 112.8 MB
  • 7. Cipher Decryption (Advanced)/4. Genetic Algorithms.mp4 110.3 MB
  • 3. Vector Models and Text Preprocessing/10. Count Vectorizer (Code).mp4 106.9 MB
  • 6. Article Spinner (Intermediate)/4. Article Spinner in Python (pt 1).mp4 100.6 MB
  • 16. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.7 MB
  • 17. Convolutional Neural Networks/6. CNN Architecture.mp4 93.6 MB
  • 11. Text Summarization/8. TextRank in Python (Advanced).mp4 86.3 MB
  • 18. Recurrent Neural Networks/6. GRU and LSTM (pt 1).mp4 86.3 MB
  • 13. Latent Semantic Analysis (Latent Semantic Indexing)/2. SVD (Singular Value Decomposition) Intuition.mp4 85.8 MB
  • 15. The Neuron/4. Text Classification in Tensorflow.mp4 85.6 MB
  • 17. Convolutional Neural Networks/2. What is Convolution.mp4 83.7 MB
  • 3. Vector Models and Text Preprocessing/16. How to Build TF-IDF From Scratch.mp4 83.7 MB
  • 21. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
  • 11. Text Summarization/4. Text Summarization in Python.mp4 81.9 MB
  • 6. Article Spinner (Intermediate)/5. Article Spinner in Python (pt 2).mp4 79.0 MB
  • 17. Convolutional Neural Networks/5. Convolution on Color Images.mp4 78.9 MB
[磁力链接] 添加时间:2023-12-21 大小:7.2 GB 最近下载:2025-10-23 热度:3442

[GigaCourse.Com] Udemy - Machine Learning Natural Language Processing in Python (V2)

  • 18. Recurrent Neural Networks/9. Parts-of-Speech (POS) Tagging in Tensorflow.mp4 152.2 MB
  • 3. Vector Models and Text Preprocessing/14. TF-IDF (Code).mp4 131.0 MB
  • 16. Feedforward Artificial Neural Networks/13. CBOW in Tensorflow (Advanced).mp4 123.3 MB
  • 21. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
  • 9. Spam Detection/6. Spam Detection in Python.mp4 112.8 MB
  • 7. Cipher Decryption (Advanced)/4. Genetic Algorithms.mp4 110.3 MB
  • 3. Vector Models and Text Preprocessing/10. Count Vectorizer (Code).mp4 106.9 MB
  • 6. Article Spinner (Intermediate)/4. Article Spinner in Python (pt 1).mp4 100.6 MB
  • 16. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.7 MB
  • 17. Convolutional Neural Networks/6. CNN Architecture.mp4 93.6 MB
  • 11. Text Summarization/8. TextRank in Python (Advanced).mp4 86.3 MB
  • 18. Recurrent Neural Networks/6. GRU and LSTM (pt 1).mp4 86.3 MB
  • 13. Latent Semantic Analysis (Latent Semantic Indexing)/2. SVD (Singular Value Decomposition) Intuition.mp4 85.8 MB
  • 15. The Neuron/4. Text Classification in Tensorflow.mp4 85.6 MB
  • 17. Convolutional Neural Networks/2. What is Convolution.mp4 83.7 MB
  • 3. Vector Models and Text Preprocessing/16. How to Build TF-IDF From Scratch.mp4 83.7 MB
  • 21. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
  • 11. Text Summarization/4. Text Summarization in Python.mp4 81.9 MB
  • 6. Article Spinner (Intermediate)/5. Article Spinner in Python (pt 2).mp4 79.0 MB
  • 17. Convolutional Neural Networks/5. Convolution on Color Images.mp4 78.9 MB
[磁力链接] 添加时间:2023-12-17 大小:7.2 GB 最近下载:2025-09-27 热度:1044

[FreeCourseSite.com] Udemy - Machine Learning Natural Language Processing in Python (V2)

  • 18. Recurrent Neural Networks/9. Parts-of-Speech (POS) Tagging in Tensorflow.mp4 152.1 MB
  • 3. Vector Models and Text Preprocessing/14. TF-IDF (Code).mp4 131.0 MB
  • 16. Feedforward Artificial Neural Networks/13. CBOW in Tensorflow (Advanced).mp4 123.3 MB
  • 21. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
  • 9. Spam Detection/6. Spam Detection in Python.mp4 112.8 MB
  • 7. Cipher Decryption (Advanced)/4. Genetic Algorithms.mp4 110.3 MB
  • 3. Vector Models and Text Preprocessing/10. Count Vectorizer (Code).mp4 106.9 MB
  • 6. Article Spinner (Intermediate)/4. Article Spinner in Python (pt 1).mp4 100.6 MB
  • 16. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.7 MB
  • 17. Convolutional Neural Networks/6. CNN Architecture.mp4 93.6 MB
  • 11. Text Summarization/8. TextRank in Python (Advanced).mp4 86.3 MB
  • 18. Recurrent Neural Networks/6. GRU and LSTM (pt 1).mp4 86.3 MB
  • 13. Latent Semantic Analysis (Latent Semantic Indexing)/2. SVD (Singular Value Decomposition) Intuition.mp4 85.8 MB
  • 15. The Neuron/4. Text Classification in Tensorflow.mp4 85.6 MB
  • 17. Convolutional Neural Networks/2. What is Convolution.mp4 83.7 MB
  • 3. Vector Models and Text Preprocessing/16. How to Build TF-IDF From Scratch.mp4 83.7 MB
  • 21. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
  • 11. Text Summarization/4. Text Summarization in Python.mp4 82.0 MB
  • 6. Article Spinner (Intermediate)/5. Article Spinner in Python (pt 2).mp4 79.0 MB
  • 17. Convolutional Neural Networks/5. Convolution on Color Images.mp4 78.9 MB
[磁力链接] 添加时间:2024-02-27 大小:7.2 GB 最近下载:2025-10-26 热度:2779

[GigaCourse.Com] Udemy - Machine Learning Natural Language Processing in Python (V2)

  • 18 - Recurrent Neural Networks/009 Parts-of-Speech (POS) Tagging in Tensorflow.mp4 152.1 MB
  • 03 - Vector Models and Text Preprocessing/014 TF-IDF (Code).mp4 131.0 MB
  • 16 - Feedforward Artificial Neural Networks/013 CBOW in Tensorflow (Advanced).mp4 123.3 MB
  • 21 - Effective Learning Strategies for Machine Learning FAQ/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
  • 09 - Spam Detection/006 Spam Detection in Python.mp4 112.8 MB
  • 07 - Cipher Decryption (Advanced)/004 Genetic Algorithms.mp4 110.3 MB
  • 03 - Vector Models and Text Preprocessing/010 Count Vectorizer (Code).mp4 106.9 MB
  • 06 - Article Spinner (Intermediate)/004 Article Spinner in Python (pt 1).mp4 100.6 MB
  • 16 - Feedforward Artificial Neural Networks/004 Activation Functions.mp4 93.7 MB
  • 17 - Convolutional Neural Networks/006 CNN Architecture.mp4 93.6 MB
  • 11 - Text Summarization/008 TextRank in Python (Advanced).mp4 86.3 MB
  • 18 - Recurrent Neural Networks/006 GRU and LSTM (pt 1).mp4 86.2 MB
  • 13 - Latent Semantic Analysis (Latent Semantic Indexing)/002 SVD (Singular Value Decomposition) Intuition.mp4 85.8 MB
  • 15 - The Neuron/004 Text Classification in Tensorflow.mp4 85.6 MB
  • 17 - Convolutional Neural Networks/002 What is Convolution.mp4 83.7 MB
  • 03 - Vector Models and Text Preprocessing/016 How to Build TF-IDF From Scratch.mp4 83.7 MB
  • 21 - Effective Learning Strategies for Machine Learning FAQ/003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
  • 11 - Text Summarization/004 Text Summarization in Python.mp4 81.9 MB
  • 06 - Article Spinner (Intermediate)/005 Article Spinner in Python (pt 2).mp4 79.0 MB
  • 17 - Convolutional Neural Networks/005 Convolution on Color Images.mp4 78.8 MB
[磁力链接] 添加时间:2023-12-25 大小:7.1 GB 最近下载:2025-10-16 热度:94

Machine Learning & Data Science with Python & Kaggle A-Z

  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/20. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4 201.0 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/20. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4 197.3 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/22. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4 167.6 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/21. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4 139.7 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/19. First Contact with Kaggle/1. What is Kaggle.mp4 135.9 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/26. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4 133.0 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/19. First Contact with Kaggle/5. Getting to Know the Kaggle Homepage.mp4 128.9 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/2. Installations for Python/1. Installing Anaconda Distribution for Windows.mp4 124.1 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/26. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Project.mp4 122.8 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/2. Installations for Python/3. Installing Anaconda Distribution for Linux.mp4 120.4 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/24. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4 112.2 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/5. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 112.1 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/22. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4 110.9 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/26. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp4 110.1 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/3. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 105.2 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/3. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 96.7 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/30. Exploratory Data Analysis (EDA) - Bi-variate Analysis/8. Examining Statistics of Variables.mp4 95.8 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/30. Exploratory Data Analysis (EDA) - Bi-variate Analysis/16. Relationships between variables (Analysis with Heatmap) Lesson 2.mp4 95.1 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/5. Linear Regression Algorithm in Machine Learning A-Z/5. Linear Regression Algorithm With Python Part 4.mp4 94.4 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/29. Exploratory Data Analysis (EDA) - Uni-variate Analysis/4. Categoric Variables (Analysis with Pie Chart) Lesson 2.mp4 88.2 MB
[磁力链接] 添加时间:2024-02-28 大小:6.9 GB 最近下载:2025-10-26 热度:3732

[FreeCourseSite.com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass

  • 5. Pandas/28. Pandas Project Exercise Solutions.mp4 190.4 MB
  • 8. Data Analysis and Visualization Capstone Project Exercise/4. Capstone Project Solutions - Part Three.mp4 150.9 MB
  • 5. Pandas/26. Pandas Pivot Tables.mp4 135.0 MB
  • 7. Seaborn Data Visualizations/2. Scatterplots with Seaborn.mp4 134.9 MB
  • 6. Matplotlib/11. Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
  • 8. Data Analysis and Visualization Capstone Project Exercise/2. Capstone Project Solutions - Part One.mp4 122.6 MB
  • 5. Pandas/4. DataFrames - Part One - Creating a DataFrame.mp4 119.6 MB
  • 7. Seaborn Data Visualizations/8. Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4 116.6 MB
  • 8. Data Analysis and Visualization Capstone Project Exercise/3. Capstone Project Solutions - Part Two.mp4 116.4 MB
  • 7. Seaborn Data Visualizations/14. Seaborn Plot Exercises Solutions.mp4 116.0 MB
  • 4. NumPy/2. NumPy Arrays.mp4 115.0 MB
  • 5. Pandas/23. Pandas Input and Output - HTML Tables.mp4 111.8 MB
  • 5. Pandas/15. GroupBy Operations - Part Two - MultiIndex.mp4 111.0 MB
  • 5. Pandas/25. Pandas Input and Output - SQL Databases.mp4 108.2 MB
  • 5. Pandas/21. Pandas - Time Methods for Date and Time Data.mp4 106.9 MB
  • 10. Linear Regression/24. L1 Regularization - Lasso Regression - Background and Implementation.mp4 104.9 MB
  • 1. Introduction to Course/3. Anaconda Python and Jupyter Install and Setup.mp4 103.6 MB
  • 5. Pandas/10. Pandas - Useful Methods - Apply on Multiple Columns.mp4 103.3 MB
  • 5. Pandas/13. Missing Data - Pandas Operations.mp4 102.6 MB
  • 5. Pandas/7. DataFrames - Part Four - Working with Rows.mp4 101.4 MB
[磁力链接] 添加时间:2021-03-09 大小:6.9 GB 最近下载:2025-10-22 热度:812

[FreeCourseSite.com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass

  • 5. Pandas/28. Pandas Project Exercise Solutions.mp4 190.4 MB
  • 8. Data Analysis and Visualization Capstone Project Exercise/4. Capstone Project Solutions - Part Three.mp4 150.9 MB
  • 5. Pandas/26. Pandas Pivot Tables.mp4 135.0 MB
  • 7. Seaborn Data Visualizations/2. Scatterplots with Seaborn.mp4 134.9 MB
  • 6. Matplotlib/11. Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
  • 8. Data Analysis and Visualization Capstone Project Exercise/2. Capstone Project Solutions - Part One.mp4 122.6 MB
  • 5. Pandas/4. DataFrames - Part One - Creating a DataFrame.mp4 119.6 MB
  • 7. Seaborn Data Visualizations/8. Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4 116.6 MB
  • 8. Data Analysis and Visualization Capstone Project Exercise/3. Capstone Project Solutions - Part Two.mp4 116.4 MB
  • 7. Seaborn Data Visualizations/14. Seaborn Plot Exercises Solutions.mp4 116.0 MB
  • 4. NumPy/2. NumPy Arrays.mp4 115.0 MB
  • 5. Pandas/23. Pandas Input and Output - HTML Tables.mp4 111.8 MB
  • 5. Pandas/15. GroupBy Operations - Part Two - MultiIndex.mp4 111.0 MB
  • 5. Pandas/25. Pandas Input and Output - SQL Databases.mp4 108.2 MB
  • 5. Pandas/21. Pandas - Time Methods for Date and Time Data.mp4 106.9 MB
  • 10. Linear Regression/24. L1 Regularization - Lasso Regression - Background and Implementation.mp4 104.9 MB
  • 1. Introduction to Course/3. Anaconda Python and Jupyter Install and Setup.mp4 103.6 MB
  • 5. Pandas/10. Pandas - Useful Methods - Apply on Multiple Columns.mp4 103.3 MB
  • 5. Pandas/13. Missing Data - Pandas Operations.mp4 102.6 MB
  • 5. Pandas/7. DataFrames - Part Four - Working with Rows.mp4 101.4 MB
[磁力链接] 添加时间:2021-03-10 大小:6.9 GB 最近下载:2025-10-19 热度:1004

desire-course.-net-udemy-python-for-computer-vision-with-open-cv-and-deep-learning

  • 1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip 321.0 MB
  • 4. Image Processing/7. Blurring and Smoothing - Part Two.mp4 247.3 MB
  • 6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4 186.0 MB
  • 8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4 175.0 MB
  • 4. Image Processing/5. Image Thresholding.mp4 145.0 MB
  • 8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4 144.4 MB
  • 3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4 133.1 MB
  • 6. Object Detection with OpenCV and Python/2. Template Matching.mp4 122.3 MB
  • 6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4 122.3 MB
  • 4. Image Processing/9. Gradients.mp4 118.9 MB
  • 8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4 118.8 MB
  • 7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4 116.8 MB
  • 6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4 114.5 MB
  • 6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4 109.4 MB
  • 6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp4 104.8 MB
  • 5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp4 102.8 MB
  • 8. Deep Learning for Computer Vision/9. Keras Basics.mp4 102.5 MB
  • 3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp4 102.0 MB
  • 4. Image Processing/8. Morphological Operators.mp4 101.5 MB
  • 7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp4 100.9 MB
[磁力链接] 添加时间:2023-12-30 大小:6.9 GB 最近下载:2025-03-31 热度:1078

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

  • 1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.vtt 55.5 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
  • 39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
  • 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
[磁力链接] 添加时间:2021-04-15 大小:6.8 GB 最近下载:2025-10-13 热度:3022

Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.vtt 55.5 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
  • 39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
  • 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
[磁力链接] 添加时间:2021-03-07 大小:6.8 GB 最近下载:2025-02-28 热度:149

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

  • 1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.vtt 55.5 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
  • 39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
  • 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
[磁力链接] 添加时间:2021-03-08 大小:6.8 GB 最近下载:2025-10-26 热度:1152

[HiOrla.com] From 0 to 1 Machine Learning, NLP & Python-Cut to the Chase.zip

  • [HiOrla.com] From 0 to 1 Machine Learning, NLP & Python-Cut to the Chase.zip 6.7 GB
[磁力链接] 添加时间:2024-05-07 大小:6.7 GB 最近下载:2025-10-16 热度:217

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

  • [DesireCourse.Com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science.zip 6.7 GB
  • [DesireCourse.Com].txt 828 Bytes
  • [DesireCourse.Com].url 51 Bytes
[磁力链接] 添加时间:2018-11-08 大小:6.7 GB 最近下载:2025-10-25 热度:1504

Machine Learning A-Z - Hands On Python and R In Data Science

  • 01 Welcome to the course/captions/004 Installing Python and Anaconda MAC Windows-EN.srt 11.2 kB
  • 01 Welcome to the course/captions/003 Installing R and R Studio MAC Windows-EN.srt 8.4 kB
  • 01 Welcome to the course/004 Installing Python and Anaconda MAC Windows.mp4 25.1 MB
  • 01 Welcome to the course/003 Installing R and R Studio MAC Windows.mp4 24.3 MB
  • 01 Welcome to the course/002 Why Machine Learning is the Future.mp4 15.2 MB
  • 01 Welcome to the course/001 Applications of Machine Learning.mp4 10.3 MB
  • 01 Welcome to the course/005 BONUS Meet your instructors.html 1.4 kB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/attached_files/006 Welcome to Part 1 - Data Preprocessing/Machine-Learning-A-Z-Template-Folder.zip 238.4 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/attached_files/007 Get the dataset/Data.csv 226 Bytes
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/attached_files/011 Missing Data/Missing-Data.zip 2.0 kB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/attached_files/012 Categorical Data/Categorical-Data.zip 3.2 kB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/attached_files/015 And here is our Data Preprocessing Template/Data-Preprocessing-Template.zip 2.4 kB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/captions/013 Splitting the Dataset into the Training set and Test set-EN.srt 24.5 kB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/captions/012 Categorical Data-EN.srt 24.4 kB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/captions/011 Missing Data-EN.srt 21.5 kB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/captions/014 Feature Scaling-EN.srt 21.3 kB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/captions/009 Importing the Dataset-EN.srt 17.0 kB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/captions/015 And here is our Data Preprocessing Template-EN.srt 13.0 kB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/captions/006 Welcome to Part 1 - Data Preprocessing-EN.srt 2.3 kB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/quizzes/001 Data Preprocessing.html 4.6 kB
[磁力链接] 添加时间:2017-07-25 大小:6.7 GB 最近下载:2025-10-25 热度:5142

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

  • 1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
  • 39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
  • 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.srt 49.5 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
[磁力链接] 添加时间:2022-03-29 大小:6.5 GB 最近下载:2024-06-23 热度:17

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

  • 1. Welcome to the course!/5.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/6. Updates on Udemy Reviews.mp4 55.5 MB
  • 39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
  • 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
  • 38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB
[磁力链接] 添加时间:2021-03-25 大小:6.5 GB 最近下载:2025-10-04 热度:59

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

  • 1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
  • 39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
  • 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.5 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
  • 38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB
[磁力链接] 添加时间:2022-03-14 大小:6.5 GB 最近下载:2025-10-26 热度:747


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