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Skillshare - Data Science ,Linear Regression with Python ; Write 1st Machine Learning Code in 30 min [Piyush Sharma]

  • 05 - data-visualisations.mp4 37.6 MB
  • 06 - model-building.mp4 37.0 MB
  • 08 - model-fitness-and-validation-1.mp4 25.4 MB
  • 09 - model-fitness-and-validation-2.mp4 21.3 MB
  • 02 - understanding-machine-learning.mp4 21.0 MB
  • 04 - csv-file-upload-and-data-analysis.mp4 20.6 MB
  • 07 - assumptions-of-linear-regression.mp4 19.0 MB
  • 03 - introduction-to-linear-regression.mp4 18.5 MB
  • 01 - welcome-to-the-course.mp4 7.4 MB
  • cover.jpg 552.5 kB
  • simple_linear_regression.ipynb.txt 107.8 kB
  • smartphone_ads.csv 4.5 kB
[磁力链接] 添加时间:2024-06-09 大小:208.5 MB 最近下载:2025-10-26 热度:2266

[freecourse.pro]-Machine Learning, Data Science and Generative AI with Python.zip

  • [freecourse.pro]-Machine Learning, Data Science and Generative AI with Python.zip 7.7 GB
[磁力链接] 添加时间:2024-05-31 大小:7.7 GB 最近下载:2024-12-30 热度:810

Campesato O. Python 3 and Machine Learning Using ChatGPT-GPT-4 2024

  • Campesato O. Python 3 and Machine Learning Using ChatGPT-GPT-4 2024.pdf 33.4 MB
  • Campesato O. Natural Language Processing Fundamentals for Developers 2021.pdf 22.1 MB
  • Campesato O. SQL Pocket Primer 2022.pdf 21.4 MB
  • Campesato O. Python 3 Data Visualization Using ChatGPT - GPT-4 2023.pdf 21.4 MB
  • Campesato O. Statistics Using Python 2023.pdf 18.9 MB
  • Campesato O. Python 3 and Data Analytics Pocket Primer 2021.pdf 16.6 MB
  • Campesato O. GPT-4 for Developers 2024.pdf 15.4 MB
  • Campesato O. Data Literacy With Python 2023.pdf 15.3 MB
  • Campesato O. Data Wrangling Using Pandas, SQL, and Java 2022.pdf 13.7 MB
  • Campesato O. Java for Developers. Pocket Primer 2022.pdf 13.1 MB
  • Campesato O. Data Structures in Java 2023.pdf 11.3 MB
  • Campesato O. Python 3 and Feature Engineering 2023.pdf 11.2 MB
  • Campesato O. Transformer, BERT, and GPT3. Including ChatGPT and Prompt Eng. 2023.pdf 10.8 MB
  • Campesato O. Python Tools for Data Scientists. Pocket Primer 2022.pdf 10.1 MB
  • Campesato O. Managing Datasets and Models 2023.pdf 9.8 MB
  • Campesato O. Python for Programmers 2022.pdf 9.4 MB
  • Campesato O. Python 3 Using ChatGPT - GPT-4 2024.pdf 8.8 MB
  • Campesato O. Angular and Deep Learning Pocket Primer 2021.pdf 8.7 MB
  • Campesato O. Python 3 and Data Visualization 2023.pdf 8.6 MB
  • Campesato O. Python for Absolute Beginners 2023.pdf 8.1 MB
[磁力链接] 添加时间:2024-05-28 大小:362.9 MB 最近下载:2025-10-26 热度:6070

[LinkedIn Learning] Advance Your Skills in Python - Complete 7 Courses

  • 3. Python Data Structures and Algorithms/2 - The Stack Data Structure/2. Build a stack class in Python.mp4 43.1 MB
  • 3. Python Data Structures and Algorithms/4 - Depth-First Search Algorithm/4. Code a depth-first search in Python.mp4 38.2 MB
  • 3. Python Data Structures and Algorithms/5 - The Queue Data Structure/2. Build a queue class in Python.mp4 26.4 MB
  • 3. Python Data Structures and Algorithms/6 - The Breadth-First Search Algorithm/3. Code a breadth-first search in Python.mp4 26.1 MB
  • 5. Python GUI Development with Tkinter/0 - Introduction/1. Create a GUI for your Python desktop application.mp4 25.6 MB
  • 3. Python Data Structures and Algorithms/8 - The A Search Algorithm/3. Code the A algorithm in Python.mp4 25.2 MB
  • 3. Python Data Structures and Algorithms/7 - The Priority Queue Data Structure/2. Use the heap module to implement a priority queue.mp4 22.3 MB
  • 1. Hands-On Introduction Python onehack.us/3 - Let's Build Something!/1. Reading a CSV file.mp4 20.8 MB
  • 3. Python Data Structures and Algorithms/8 - The A Search Algorithm/2. Visualize the A algorithm.mp4 20.5 MB
  • 3. Python Data Structures and Algorithms/1 - Pathfinding Algorithms in a Maze Game/1. Understand the example application.mp4 17.6 MB
  • 1. Hands-On Introduction Python onehack.us/0 - Introduction/3. Using GitHub Codespaces with this course.mp4 17.4 MB
  • 6. Create an Open-Source Project in Python/3 - Tidy Up Your Code/1. What is PEP 8.mp4 16.9 MB
  • 7. Build Three Real-World Python Applications/3 - Text Analysis on Great Expectations Novel/8. How to perform Vader sentiment analysis.mp4 16.8 MB
  • 7. Build Three Real-World Python Applications/3 - Text Analysis on Great Expectations Novel/4. How to clean text data.mp4 16.5 MB
  • 4. Python Automation and Testing/2 - Parsing the HTML DOM Structure/9. Solution.mp4 16.5 MB
  • 4. Python Automation and Testing/2 - Parsing the HTML DOM Structure/7. Solution.mp4 16.2 MB
  • 7. Build Three Real-World Python Applications/3 - Text Analysis on Great Expectations Novel/10. How to perform topic modeling.mp4 15.8 MB
  • 1. Hands-On Introduction Python onehack.us/4 - Extending a Service/2. Extending a small web server.mp4 15.7 MB
  • 1. Hands-On Introduction Python onehack.us/3 - Let's Build Something!/3. Outputting JSON.mp4 15.5 MB
  • 4. Python Automation and Testing/3 - Navigating through Pages/5. Solution.mp4 15.4 MB
[磁力链接] 添加时间:2024-05-26 大小:1.4 GB 最近下载:2025-10-27 热度:8956

[Udemy] Deep Learning Prerequisites The Numpy Stack in Python (V2+) (2020) [En]

  • 8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • 7. Machine Learning Basics/3. Classification in Code.mp4 131.5 MB
  • 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 3. Matplotlib (New)/7. Where to Learn More Matplotlib.mp4 80.9 MB
  • 2. Numpy (New)/7. Generating Data.mp4 66.2 MB
  • 7. Machine Learning Basics/2. What is Classification.mp4 65.2 MB
  • 7. Machine Learning Basics/5. Regression in Code.mp4 64.9 MB
  • 1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
  • 2. Numpy (New)/5. Matrices.mp4 60.0 MB
  • 2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
  • 4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
  • 7. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp4 47.7 MB
  • 8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 7. Machine Learning Basics/4. What is Regression.mp4 45.3 MB
  • 5. Scipy (New)/5. Where to Learn More Scipy.mp4 40.8 MB
  • 7. Machine Learning Basics/1. Machine Learning Section Introduction.mp4 40.8 MB
  • 2. Numpy (New)/9. Where to Learn More Numpy.mp4 40.7 MB
  • 3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
  • 11. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
[磁力链接] 添加时间:2024-05-25 大小:1.9 GB 最近下载:2025-10-26 热度:327

Datacamp – Machine Learning Scientist with Python 2023

  • Datacamp - Advanced Deep Learning with Keras 2023-8/chapter-1-the-keras-functional-api/videos/ch1_3.mp4 15.4 MB
  • Datacamp - Extreme Gradient Boosting with XGBoost 2023-8/chapter-2-regression-with-xgboost/videos/ch2_3.mp4 15.3 MB
  • Datacamp - Image Processing in Python 2023-8/chapter-3-image-restoration-noise-segmentation-and-contours/chapter3.pdf 14.4 MB
  • Datacamp - Image Processing with Keras in Python 2023-8/chapter-3-going-deeper/videos/ch3_2.mp4 14.2 MB
  • Datacamp - Extreme Gradient Boosting with XGBoost 2023-8/chapter-1-classification-with-xgboost/videos/ch1_4.mp4 14.0 MB
  • Datacamp - Advanced Deep Learning with Keras 2023-8/chapter-1-the-keras-functional-api/videos/ch1_1.mp4 13.9 MB
  • Datacamp - Image Processing with Keras in Python 2023-8/chapter-2-using-convolutions/videos/ch2_3.mp4 13.7 MB
  • Datacamp - Image Processing with Keras in Python 2023-8/chapter-2-using-convolutions/videos/ch2_1.mp4 13.4 MB
  • Datacamp - Image Processing with Keras in Python 2023-8/chapter-1-image-processing-with-neural-networks/videos/ch1_1.mp4 13.2 MB
  • Datacamp - Advanced Deep Learning with Keras 2023-8/chapter-4-multiple-outputs/videos/ch4_2.mp4 13.2 MB
  • Datacamp - Image Processing with Keras in Python 2023-8/chapter-4-understanding-and-improving-deep-convolutional-networks/videos/ch4_4.mp4 13.1 MB
  • Datacamp - Feature Engineering for Machine Learning in Python 2023-8/chapter-1-creating-features/videos/ch1_2.mp4 13.1 MB
  • Datacamp - Image Processing in Python 2023-8/chapter-2-filters-contrast-transformation-and-morphology/chapter2.pdf 13.1 MB
  • Datacamp - Image Processing with Keras in Python 2023-8/chapter-2-using-convolutions/videos/ch2_2.mp4 12.6 MB
  • Datacamp - Image Processing with Keras in Python 2023-8/chapter-1-image-processing-with-neural-networks/videos/ch1_3.mp4 12.6 MB
  • Datacamp - Unsupervised Learning in Python 2023-8/chapter-2-visualization-with-hierarchical-clustering-and-t-sne/videos/ch2_1.mp4 12.6 MB
  • Datacamp - Image Processing with Keras in Python 2023-8/chapter-3-going-deeper/videos/ch3_1.mp4 12.5 MB
  • Datacamp - Image Processing with Keras in Python 2023-8/chapter-4-understanding-and-improving-deep-convolutional-networks/videos/ch4_2.mp4 12.3 MB
  • Datacamp - Unsupervised Learning in Python 2023-8/chapter-1-clustering-for-dataset-exploration/videos/ch1_1.mp4 12.3 MB
  • Datacamp - Extreme Gradient Boosting with XGBoost 2023-8/chapter-2-regression-with-xgboost/videos/ch2_2.mp4 12.2 MB
[磁力链接] 添加时间:2024-05-23 大小:2.5 GB 最近下载:2025-10-20 热度:1898

advanced-ai-deep-reinforcement-learning-in-python

  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/9. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.2 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/7. A3C/5. A3C - Code pt 4.mp4 193.3 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/2. The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.mp4 110.4 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/1. Introduction and Logistics/3. Anyone Can Succeed in this Course.mp4 88.0 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 82.2 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/10. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 81.9 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/7. A3C/1. A3C - Theory and Outline.mp4 75.2 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 71.0 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/2. The Basics of Reinforcement Learning/11. Q-Learning.mp4 70.3 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 66.5 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/2. The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 60.1 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/2. The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).mp4 53.3 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/1. Introduction and Logistics/1. Introduction and Outline.mp4 52.9 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/7. A3C/2. A3C - Code pt 1 (Warmup).mp4 52.5 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/2. The Basics of Reinforcement Learning/6. Value Functions and the Bellman Equation.mp4 50.5 MB
[磁力链接] 添加时间:2024-05-20 大小:3.4 GB 最近下载:2025-10-03 热度:652

Learn Data Mining & Machine Learning with Python

  • [TutsNode.com] - Learn Data Mining & Machine Learning with Python/03 - Supervised Learning Algorithms/024 Create Multiple Linear Regression Model in Python-Part 3.mp4 96.6 MB
  • [TutsNode.com] - Learn Data Mining & Machine Learning with Python/06 - Appendix Statistics Overview/022 Calculate Confidence Interval in Excel.mp4 82.5 MB
  • [TutsNode.com] - Learn Data Mining & Machine Learning with Python/02 - Setup Programming Environment/006 Introduction to Pandas Library.mp4 69.3 MB
  • [TutsNode.com] - Learn Data Mining & Machine Learning with Python/03 - Supervised Learning Algorithms/037 Create Logistic Regression Model in Python-Part 1.mp4 66.1 MB
  • [TutsNode.com] - Learn Data Mining & Machine Learning with Python/03 - Supervised Learning Algorithms/025 Create Multiple Linear Regression Model in Python-Part 4.mp4 64.7 MB
  • [TutsNode.com] - Learn Data Mining & Machine Learning with Python/04 - Unsupervised Learning Algorithms/005 Create Hierarchical Clustering Algorithm in Python-1.mp4 63.7 MB
  • [TutsNode.com] - Learn Data Mining & Machine Learning with Python/05 - Deep Learning/008 Create Artificial Neural Network Model in Python Part-2.mp4 63.2 MB
  • [TutsNode.com] - Learn Data Mining & Machine Learning with Python/03 - Supervised Learning Algorithms/029 Create Polynomial Regression Model in Python-Part 2.mp4 60.4 MB
  • [TutsNode.com] - Learn Data Mining & Machine Learning with Python/03 - Supervised Learning Algorithms/015 Create Simple Linear Regression Model in Python-Part 5.mp4 59.7 MB
  • [TutsNode.com] - Learn Data Mining & Machine Learning with Python/04 - Unsupervised Learning Algorithms/006 Create Hierarchical Clustering Algorithm in Python-2.mp4 58.8 MB
  • [TutsNode.com] - Learn Data Mining & Machine Learning with Python/04 - Unsupervised Learning Algorithms/009 Create K-means Clustering Algorithm Model in Python - 1.mp4 57.7 MB
  • [TutsNode.com] - Learn Data Mining & Machine Learning with Python/04 - Unsupervised Learning Algorithms/011 Association Rules (Market Basket Analysis).mp4 54.8 MB
  • [TutsNode.com] - Learn Data Mining & Machine Learning with Python/03 - Supervised Learning Algorithms/040 Create KNN Model in Python.mp4 54.5 MB
  • [TutsNode.com] - Learn Data Mining & Machine Learning with Python/03 - Supervised Learning Algorithms/023 Create Multiple Linear Regression Model in Python-Part 2.mp4 53.5 MB
  • [TutsNode.com] - Learn Data Mining & Machine Learning with Python/04 - Unsupervised Learning Algorithms/008 Using Elbow Method to Determine Optimal Number of Clusters.mp4 51.2 MB
  • [TutsNode.com] - Learn Data Mining & Machine Learning with Python/03 - Supervised Learning Algorithms/028 Create Polynomial Regression Model in Python-Part 1.mp4 51.2 MB
  • [TutsNode.com] - Learn Data Mining & Machine Learning with Python/03 - Supervised Learning Algorithms/042 Create Support Vector Machine in Python.mp4 48.1 MB
  • [TutsNode.com] - Learn Data Mining & Machine Learning with Python/03 - Supervised Learning Algorithms/038 Create Logistic Regression Model in Python-Part 2.mp4 46.9 MB
  • [TutsNode.com] - Learn Data Mining & Machine Learning with Python/05 - Deep Learning/004 Activation Functions.mp4 45.2 MB
  • [TutsNode.com] - Learn Data Mining & Machine Learning with Python/05 - Deep Learning/007 Create Artificial Neural Network Model in Python Part-1.mp4 45.1 MB
[磁力链接] 添加时间:2024-05-18 大小:3.5 GB 最近下载:2025-09-06 热度:187

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

  • 12. 13. (BONUS SERIES) Java Programming/6. 6. Arrays in Java.mp4 1.4 GB
  • 12. 13. (BONUS SERIES) Java Programming/9. 09. Operators in Java.mp4 1.4 GB
  • 12. 13. (BONUS SERIES) Java Programming/1. 1. Java introduction.mp4 1.1 GB
  • 12. 13. (BONUS SERIES) Java Programming/10. 10. Type Casting in Java.mp4 752.1 MB
  • 12. 13. (BONUS SERIES) Java Programming/7. 7. Strings in Java part 1.mp4 657.8 MB
  • 12. 13. (BONUS SERIES) Java Programming/5. 5. Literals in Java.mp4 586.7 MB
  • 12. 13. (BONUS SERIES) Java Programming/2. 2. Variables in Java.mp4 516.4 MB
  • 12. 13. (BONUS SERIES) Java Programming/8. 8. Strings in Java part 2.mp4 490.0 MB
  • 12. 13. (BONUS SERIES) Java Programming/11. 11. Control statement If else in Java.mp4 464.7 MB
  • 12. 13. (BONUS SERIES) Java Programming/12. 12. Switch Statement in Java.mp4 318.2 MB
  • 12. 13. (BONUS SERIES) Java Programming/4. 4. Reserved Keywords in Java.mp4 192.8 MB
  • 15. Project Based Learning and Mini Project/7. PBL7.mp4 161.4 MB
  • 17. CSS/8. Web Development CSS 8.mp4 157.4 MB
  • 12. 13. (BONUS SERIES) Java Programming/3. 3. Identifiers in Java.mp4 152.3 MB
  • 16. Web Development Bootcamp/1. 1. Web development 1.mp4 149.2 MB
  • 17. CSS/9. Web Development CSS 9.mp4 140.1 MB
  • 13. 12. Advanced Machine Learning/5. 05. Case study.mp4 139.5 MB
  • 17. CSS/7. Web Development CSS 7.mp4 133.7 MB
  • 13. 12. Advanced Machine Learning/9. 09. Decision Tree.mp4 133.4 MB
  • 14. Speech Recognition by Python ( Mini Project )/2. Computer vision lecture 1.mp4 115.5 MB
[磁力链接] 添加时间:2024-05-16 大小:13.8 GB 最近下载:2025-10-25 热度:1293

[GigaCourse.Com] Udemy - Machine Learning Classification Bootcamp in Python

  • 4. Logistic Regression/6. Logistic Regression - Project #1 - Part #3.mp4 168.6 MB
  • 7. Decision Trees and Random Forest/13. Decision Trees & Random Forest - Project #2 - Part #1.mp4 164.0 MB
  • 5. Support Vector Machines/9. Support Vector Machines - Project #1 - Part #7.mp4 155.1 MB
  • 2. What is Machine Learning The Big Picture/2. What is Machine Learning The Big Picture Part #2.mp4 144.2 MB
  • 8. Naive Bayes Classifiers/2. Naive Bayes Intuition.mp4 143.1 MB
  • 1. Introduction/2.1 ML Classification Package.zip 138.2 MB
  • 8. Naive Bayes Classifiers/3. Naive Bayes - Mathematics.mp4 134.0 MB
  • 5. Support Vector Machines/4. Support Vector Machines - Project #1 - Part #2.mp4 129.1 MB
  • 3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/3. How to run a Jupyter Notebook.mp4 128.8 MB
  • 6. K-Nearest Neighbors/8. KNN - Project #2 - Part #1.mp4 126.7 MB
  • 5. Support Vector Machines/5. Support Vector Machines - Project #1 - Part #3.mp4 125.6 MB
  • 8. Naive Bayes Classifiers/6. Project #1 - Part #3.mp4 124.8 MB
  • 7. Decision Trees and Random Forest/2. Decision Trees - Intuition.mp4 123.6 MB
  • 8. Naive Bayes Classifiers/11. Project #2 - Part #1.mp4 116.5 MB
  • 7. Decision Trees and Random Forest/16. Decision Trees & Random Forest - Project #2 - Part #4.mp4 114.7 MB
  • 6. K-Nearest Neighbors/2. K-Nearest Neighbors - Intuition.mp4 112.4 MB
  • 4. Logistic Regression/7. Logistic Regression - Project #1 - Part #4.mp4 102.8 MB
  • 2. What is Machine Learning The Big Picture/1. What is Machine Learning The Big Picture Part #1.mp4 100.2 MB
  • 1. Introduction/5. Course Overview.mp4 99.5 MB
  • 5. Support Vector Machines/2. Support Vector Machines - Intuition.mp4 99.2 MB
[磁力链接] 添加时间:2024-05-14 大小:6.1 GB 最近下载:2025-01-19 热度:222

[Tutorialsplanet.NET] Udemy - Algorithmic Trading A-Z with Python, Machine Learning & AWS

  • 28. A Machine Learning-powered Strategy A-Z (DNN)/13. Implementation (Oanda & FXCM).mp4 117.9 MB
  • 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/11. How to traceback more complex Errors.mp4 101.5 MB
  • 7. Trading with Python and OANDAFXCM - an Introduction/10. OANDA How to place Orders and execute Trades.mp4 89.6 MB
  • 22. Implementation and Automation with OANDA (UPDATED!)/17. Trade Monitoring and Reporting.mp4 88.7 MB
  • 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/56. Customization of Plots.mp4 88.2 MB
  • 15. Defining and Backtesting SMA Strategies/4. Finding the optimal SMA Strategy.mp4 86.8 MB
  • 11. Financial Data Analysis with Pandas - an Introduction/12. Importing Financial Data from Excel.mp4 84.6 MB
  • 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/12. Inheritance.mp4 82.7 MB
  • 20. Advanced Backtesting Techniques/13. Adding the Iterative Backtest Child Class for SMA (Part 2).mp4 82.2 MB
  • 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/34. Slicing Rows and Columns with loc (label-based indexing).mp4 81.3 MB
  • 15. Defining and Backtesting SMA Strategies/5. Generalization with OOP An SMA Backtesting Class in action.mp4 77.2 MB
  • 22. Implementation and Automation with OANDA (UPDATED!)/4. Historical Data, real-time Data and Orders (Recap).mp4 76.3 MB
  • 10. Introduction to Time Series Data in Pandas/4. Downsampling Time Series with resample().mp4 75.7 MB
  • 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/4. How to create an EC2 Instance.mp4 75.3 MB
  • 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/61. Categorical Seaborn Plots.mp4 74.2 MB
  • 17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/4. Defining a Bollinger Bands Mean-Reversion Strategy (Part 2).mp4 74.1 MB
  • 3. Day Trading with OANDA A-Z a Deep Dive/7. Margin and Leverage.mp4 74.0 MB
  • 3. Day Trading with OANDA A-Z a Deep Dive/6. Trading Costs and Performance Attribution.mp4 72.9 MB
  • 27. Working with two or many Strategies (Combination)/8. Strategy Optimization.mp4 71.9 MB
  • 12. Advanced Topics/2. Filling NA Values with bfill, ffill and interpolation.mp4 71.7 MB
[磁力链接] 添加时间:2024-05-11 大小:13.8 GB 最近下载:2025-10-26 热度:439

[GigaCourse.Com] Udemy - Machine Learning, Data Science and Generative AI with Python

  • 13 - The OpenAI API (Developing with GPT and ChatGPT)/007 The New OpenAI Fine-Tuning API; Fine-Tuning GPT-3.5 to simulate Commander Data!.mp4 334.5 MB
  • 14 - Retrieval Augmented Generation (RAG)/002 Demo Using Retrieval Augmented Generation (RAG) to simulate Data from Star Trek.mp4 193.4 MB
  • 13 - The OpenAI API (Developing with GPT and ChatGPT)/006 [Demo] Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek.mp4 179.0 MB
  • 11 - Generative Models/002 Variational Auto-Encoders (VAE) - Hands-on with Fashion MNIST.mp4 156.1 MB
  • 08 - Apache Spark Machine Learning on Big Data/003 [Activity] Installing Spark.mp4 148.2 MB
  • 08 - Apache Spark Machine Learning on Big Data/007 Introduction to Decision Trees in Spark.mp4 140.5 MB
  • 11 - Generative Models/005 Generative Adversarial Networks (GAN's) - Hands-on with Fashion MNIST.mp4 132.2 MB
  • 06 - More Data Mining and Machine Learning Techniques/006 Reinforcement Learning.mp4 131.3 MB
  • 05 - Recommender Systems/005 [Activity] Making Movie Recommendations with Item-Based Collaborative Filtering.mp4 130.1 MB
  • 10 - Deep Learning and Neural Networks/017 The Ethics of Deep Learning.mp4 126.4 MB
  • 08 - Apache Spark Machine Learning on Big Data/008 [Activity] K-Means Clustering in Spark.mp4 121.8 MB
  • 10 - Deep Learning and Neural Networks/014 [Activity] Transfer Learning.mp4 116.4 MB
  • 10 - Deep Learning and Neural Networks/006 [Activity] Using Tensorflow, Part 1.mp4 112.9 MB
  • 02 - Statistics and Probability Refresher, and Python Practice/004 [Activity] Variation and Standard Deviation.mp4 108.4 MB
  • 01 - Getting Started/005 [Activity] WINDOWS Installing and Using Anaconda & Course Materials.mp4 106.9 MB
  • 01 - Getting Started/006 [Activity] MAC Installing and Using Anaconda & Course Materials.mp4 100.9 MB
  • 02 - Statistics and Probability Refresher, and Python Practice/009 [Activity] Advanced Visualization with Seaborn.mp4 100.8 MB
  • 10 - Deep Learning and Neural Networks/007 [Activity] Using Tensorflow, Part 2.mp4 99.7 MB
  • 03 - Predictive Models/003 [Activity] Multiple Regression, and Predicting Car Prices.mp4 98.7 MB
  • 02 - Statistics and Probability Refresher, and Python Practice/011 [Exercise] Conditional Probability.mp4 98.5 MB
[磁力链接] 添加时间:2024-05-08 大小:7.7 GB 最近下载:2025-10-23 热度:13835

[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

Udemy - A deep understanding of deep learning (with Python intro) 2-2023

  • 19 - Understand and design CNNs/177 - Examine feature map activations.mp4 432.2 MB
  • 22 - Style transfer/205 - Transferring the screaming bathtub.mp4 361.5 MB
  • 19 - Understand and design CNNs/176 - Classify Gaussian blurs.mp4 293.3 MB
  • 24 - RNNs Recurrent Neural Networks and GRULSTM/218 - CodeChallenge sine wave extrapolation.mp4 272.5 MB
  • 18 - Convolution and transformations/163 - Convolution in code.mp4 270.8 MB
  • 24 - RNNs Recurrent Neural Networks and GRULSTM/217 - Predicting alternating sequences.mp4 259.1 MB
  • 26 - Where to go from here/229 - How to read academic DL papers.mp4 232.8 MB
  • 19 - Understand and design CNNs/184 - The EMNIST dataset letter recognition.mp4 230.7 MB
  • 19 - Understand and design CNNs/174 - CNN to classify MNIST digits.mp4 228.4 MB
  • 24 - RNNs Recurrent Neural Networks and GRULSTM/222 - Lorem ipsum.mp4 226.2 MB
  • 7 - ANNs Artificial Neural Networks/52 - Multioutput ANN iris dataset.mp4 225.5 MB
  • 23 - Generative adversarial networks/210 - CNN GAN with Gaussians.mp4 224.6 MB
  • 21 - Transfer learning/200 - Pretraining with autoencoders.mp4 218.8 MB
  • 19 - Understand and design CNNs/180 - Do autoencoders clean Gaussians.mp4 216.1 MB
  • 9 - Regularization/72 - Dropout regularization in practice.mp4 211.2 MB
  • 21 - Transfer learning/198 - Transfer learning with ResNet18.mp4 210.9 MB
  • 16 - Autoencoders/157 - Autoencoder with tied weights.mp4 210.4 MB
  • 7 - ANNs Artificial Neural Networks/47 - ANN for classifying qwerties.mp4 205.8 MB
  • 10 - Metaparameters activations optimizers/82 - The wine quality dataset.mp4 203.8 MB
  • 18 - Convolution and transformations/171 - Image transforms.mp4 202.3 MB
[磁力链接] 添加时间:2024-05-07 大小:25.4 GB 最近下载:2025-10-26 热度:589

[ FreeCourseWeb.com ] Udemy - Machine Learning & Data Science Bootcamp with R & Python (07 - 2021)

  • ~Get Your Files Here !/11 Kaggle - Covid 19- Classification (Chest X-ray.) - Covid-19 & Pneumonia/001 Demo - [without voice].mp4 449.1 MB
  • ~Get Your Files Here !/07 Convolutional Neural Networks - CNN/001 How to Develop a CNN From Scratch for CIFAR-10 Photo Classification.mp4 415.1 MB
  • ~Get Your Files Here !/04 Machine Learning - Supervised Learning/002 Univariate Linear regression Part 2.mp4 298.5 MB
  • ~Get Your Files Here !/04 Machine Learning - Supervised Learning/003 Multivariate Linear Regression.mp4 222.1 MB
  • ~Get Your Files Here !/05 Machine Learning - Unsupervised Learning - Clustering/005 K-Means clustering - Code walkthrough with Theory & Practical.mp4 157.3 MB
  • ~Get Your Files Here !/04 Machine Learning - Supervised Learning/004 Logistic regression.mp4 157.1 MB
  • ~Get Your Files Here !/11 Kaggle - Covid 19- Classification (Chest X-ray.) - Covid-19 & Pneumonia/002 Demonstration with Step by step Guidance [With voice].mp4 141.8 MB
  • ~Get Your Files Here !/04 Machine Learning - Supervised Learning/001 Univariate Linear regression Part 1.mp4 141.1 MB
  • ~Get Your Files Here !/04 Machine Learning - Supervised Learning/005 Naive Bayes Classifier.mp4 130.6 MB
  • ~Get Your Files Here !/06 Implementing a ANN with R programming _ R Studio/001 Implementing a ANN with R programming _ R Studio.mp4 126.8 MB
  • ~Get Your Files Here !/05 Machine Learning - Unsupervised Learning - Clustering/001 Clustering _ Lecture Part 1.mp4 93.8 MB
  • ~Get Your Files Here !/01 Introduction/007 Classification _ Definition.mp4 88.7 MB
  • ~Get Your Files Here !/01 Introduction/003 What is Machine Learning.mp4 84.8 MB
  • ~Get Your Files Here !/02 Setting up the Environment for Machine Learning - R language and R studio/001 Installing R and R studio.mp4 79.6 MB
  • ~Get Your Files Here !/05 Machine Learning - Unsupervised Learning - Clustering/003 What is clustering in Machine Learning.mp4 73.0 MB
  • ~Get Your Files Here !/03 Setting up the Environment for Machine Learning - Python & Anaconda/001 Installing Python and Pycharm IDE.mp4 49.4 MB
  • ~Get Your Files Here !/01 Introduction/005 Steps to Solve a Data Mining & Machine Learning Problem.mp4 48.4 MB
  • ~Get Your Files Here !/01 Introduction/001 Why we need Data Mining & Machine Learning.mp4 45.3 MB
  • ~Get Your Files Here !/01 Introduction/008 Clustering _ Definition.mp4 38.9 MB
  • ~Get Your Files Here !/03 Setting up the Environment for Machine Learning - Python & Anaconda/002 Setting up the Environment _ Anaconda.mp4 38.1 MB
[磁力链接] 添加时间:2024-04-20 大小:3.0 GB 最近下载:2025-10-22 热度:1780

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

  • 07 Sentiment Classification using RNN/006 RNN Setup 2.mp4 178.0 MB
  • 09 TensorFlow/002 TensorFlow Text Classification Example using RNN.mp4 136.7 MB
  • 11 Project II_ Stock Price Prediction/004 RNN Model Training and Evaluation.mp4 119.6 MB
  • 02 Applications of RNN (Motivation)/006 When to Model RNN.mp4 101.2 MB
  • 06 RNN implementation/011 Language Modeling Next Word Prediction Python 6.mp4 94.6 MB
  • 03 DNN Overview/020 Rprop Momentum.mp4 89.2 MB
  • 03 DNN Overview/022 DropOut EarlyStopping Hyperparameters.mp4 81.7 MB
  • 04 RNN Architecture/004 Weight Sharing.mp4 81.3 MB
  • 11 Project II_ Stock Price Prediction/003 Data Prepration.mp4 81.2 MB
  • 10 Project I_ Book Writer/003 Modling RNN Architecture.mp4 78.9 MB
  • 10 Project I_ Book Writer/002 Data Mapping.mp4 76.9 MB
  • 07 Sentiment Classification using RNN/001 Vocabulary Implementation.mp4 76.4 MB
  • 10 Project I_ Book Writer/006 Modling RNN Model Text Generation.mp4 76.1 MB
  • 05 Gradient Decsent in RNN/008 BackPropagation Through Time.mp4 74.6 MB
  • 03 DNN Overview/002 Neuron and Perceptron.mp4 74.4 MB
  • 12 Further Readings and Resourses/001 Further Readings and Resourses 1.mp4 73.7 MB
  • 11 Project II_ Stock Price Prediction/002 Data Set.mp4 66.9 MB
  • 03 DNN Overview/017 Weigth Initialization.mp4 66.6 MB
  • 02 Applications of RNN (Motivation)/005 Stock Price Predictions.mp4 66.2 MB
  • 04 RNN Architecture/003 Infinite Memory Architecture.mp4 62.7 MB
[磁力链接] 添加时间:2024-04-15 大小:4.7 GB 最近下载:2025-10-18 热度:733

[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

[ DevCourseWeb.com ] Udemy - Learn and Implement Machine Learning Projects using Python

  • ~Get Your Files Here !/2. Python Programming Concepts/1. Python 101 - Basic Python.mp4 490.2 MB
  • ~Get Your Files Here !/8. Data Visualization/1. Data Visualization using Power BI.mp4 415.3 MB
  • ~Get Your Files Here !/3. Learning Database Programming/5. Lecture 12 Running SQL Queries.mp4 336.0 MB
  • ~Get Your Files Here !/9. Additional Content/2. Federated Machine Learning in IoT.mp4 222.8 MB
  • ~Get Your Files Here !/9. Additional Content/1. Learn about Federated Machine Learning.mp4 210.0 MB
  • ~Get Your Files Here !/6. Foundation of Machine Learning/4. Preprocessing of Dataset.mp4 170.2 MB
  • ~Get Your Files Here !/1. Data at the Core/7. Data Analytics v Data Scientist.mp4 167.6 MB
  • ~Get Your Files Here !/1. Data at the Core/6. Business Analysts v Data Analyst.mp4 167.2 MB
  • ~Get Your Files Here !/3. Learning Database Programming/4. SQL 101 - Session 4 - Designing a RDBMS database.mp4 135.2 MB
  • ~Get Your Files Here !/6. Foundation of Machine Learning/2. Machine Learning Models.mp4 126.5 MB
  • ~Get Your Files Here !/1. Data at the Core/4. Artificial intelligence Applications.mp4 120.9 MB
  • ~Get Your Files Here !/7. Regression Algorithm/2. Python example of Simple Linear Regression.mp4 110.3 MB
  • ~Get Your Files Here !/7. Regression Algorithm/1. Regression Introduction.mp4 109.5 MB
  • ~Get Your Files Here !/4. Statistics for Machine Learning/3. Measure of Variability and use of metric.mp4 109.5 MB
  • ~Get Your Files Here !/4. Statistics for Machine Learning/2. Measure of Central Tendency.mp4 106.2 MB
  • ~Get Your Files Here !/6. Foundation of Machine Learning/1. Basic Concepts.mp4 102.3 MB
  • ~Get Your Files Here !/5. Understanding Data Visualization/2. Important Visualization plots and graphs.mp4 98.3 MB
  • ~Get Your Files Here !/7. Regression Algorithm/3. Understanding Regression model evaluation.mp4 80.7 MB
  • ~Get Your Files Here !/4. Statistics for Machine Learning/1. Understanding data.mp4 75.3 MB
  • ~Get Your Files Here !/1. Data at the Core/2. Overview of Machine Learning.mp4 64.7 MB
[磁力链接] 添加时间:2024-04-13 大小:3.7 GB 最近下载:2025-10-26 热度:4051

[FreeCourseSite.com] Udemy - Python for Machine Learning The Complete Beginner's Course

  • 3. Multiple Linear Regression/3. Implementation in python Encoding Categorical Data.mp4 30.3 MB
  • 4. Classification Algorithms K-Nearest Neighbors/7. Implementation in python Splitting data into Train and Test Sets.mp4 20.6 MB
  • 8. Recommender System/6. Sorting by title and rating.mp4 20.3 MB
  • 7. Clustering/6. Implementation in python.mp4 19.9 MB
  • 3. Multiple Linear Regression/6. Implementation in python Predicting the Test Set results.mp4 18.7 MB
  • 5. Classification Algorithms Decision Tree/6. Implementation in python Encoding Categorical Data.mp4 17.8 MB
  • 1. Introduction to Machine Learning/6. Supervised learning vs Unsupervised learning.mp4 15.0 MB
  • 6. Classification Algorithms Logistic regression/7. Implementation in python Results prediction & Confusion matrix.mp4 14.1 MB
  • 3. Multiple Linear Regression/2. Implementation in python Exploring the dataset.mp4 14.0 MB
  • 8. Recommender System/13. Correlation between the most-rated movies.mp4 13.9 MB
  • 2. Simple Linear Regression/6. Implementation in python Creating a linear regression object.mp4 13.9 MB
  • 6. Classification Algorithms Logistic regression/5. Implementation in python Pre-processing.mp4 13.8 MB
  • 7. Clustering/14. 3D Visualization of the predicted values.mp4 13.5 MB
  • 7. Clustering/10. Importing the dataset.mp4 13.4 MB
  • 8. Recommender System/17. Repeating the process for another movie.mp4 13.3 MB
  • 4. Classification Algorithms K-Nearest Neighbors/9. Implementation in python Importing the KNN classifier.mp4 13.1 MB
  • 7. Clustering/11. Visualizing the dataset.mp4 13.0 MB
  • 3. Multiple Linear Regression/8. Root Mean Squared Error in Python.mp4 12.4 MB
  • 8. Recommender System/10. Data pre-processing.mp4 11.3 MB
  • 6. Classification Algorithms Logistic regression/8. Logistic Regression vs Linear Regression.mp4 11.3 MB
[磁力链接] 添加时间:2024-04-12 大小:718.6 MB 最近下载:2025-10-17 热度:941

Recommender Systems and Deep Learning in Python

  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/10 - Setting Up Your Environment FAQ by Student Request/81 - Anaconda Environment Setup.mp4 334.0 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/10 - Setting Up Your Environment FAQ by Student Request/82 - How to How to install Numpy Theano Tensorflow etc.mp4 200.4 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/3 - Collaborative Filtering/24 - UserUser Collaborative Filtering in Code.mp4 182.8 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/7 - Big Data Matrix Factorization with Spark Cluster on AWS EC2/65 - Matrix Factorization in Spark.mp4 181.7 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/5 - Matrix Factorization and Deep Learning/49 - Autoencoders AutoRec Code.mp4 159.1 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/6 - Restricted Boltzmann Machines RBMs for Collaborative Filtering/61 - RBM Code pt 3.mp4 147.8 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/12 - Effective Learning Strategies for Machine Learning FAQ by Student Request/90 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 142.4 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/12 - Effective Learning Strategies for Machine Learning FAQ by Student Request/89 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 141.0 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/3 - Collaborative Filtering/23 - Data Preprocessing.mp4 131.3 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/9 - Bayesian Ranking Scary Version/79 - Optional Bayesian Approach part 4 Code.mp4 121.8 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/11 - Extra Help With Python Coding for Beginners FAQ by Student Request/85 - Proof that using Jupyter Notebook is the same as not using it.mp4 113.3 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/6 - Restricted Boltzmann Machines RBMs for Collaborative Filtering/62 - Speeding up the RBM Code.mp4 98.4 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/11 - Extra Help With Python Coding for Beginners FAQ by Student Request/83 - How to Code by Yourself part 1.mp4 97.6 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/7 - Big Data Matrix Factorization with Spark Cluster on AWS EC2/66 - Spark Submit.mp4 78.5 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/7 - Big Data Matrix Factorization with Spark Cluster on AWS EC2/67 - Setting up a Spark Cluster on AWS EC2.mp4 77.0 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/5 - Matrix Factorization and Deep Learning/43 - Matrix Factorization in Keras Code.mp4 75.0 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/5 - Matrix Factorization and Deep Learning/38 - Matrix Factorization in Code Vectorized.mp4 74.6 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/5 - Matrix Factorization and Deep Learning/32 - Matrix Factorization First Steps.mp4 70.3 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/2 - Simple Recommendation Systems/15 - PageRank part 1.mp4 68.2 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/12 - Effective Learning Strategies for Machine Learning FAQ by Student Request/88 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced.mp4 62.4 MB
[磁力链接] 添加时间:2024-04-11 大小:4.4 GB 最近下载:2025-09-16 热度:732


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