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[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

[FreeCourseSite.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python

  • 1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip 314.2 MB
  • 1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip 314.2 MB
  • 6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4 60.6 MB
  • 7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4 52.6 MB
  • 8. Recurrent Neural Networks/13. Quick Note on Word2Vec.srt 47.1 MB
  • 10. AutoEncoders/5. Stacked Autoencoder.mp4 46.1 MB
  • 5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4 42.5 MB
  • 9. Miscellaneous Topics/6. Tensorboard.mp4 41.9 MB
  • 10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
  • 11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4 37.6 MB
  • 8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4 37.3 MB
  • 8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4 36.8 MB
  • 7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4 36.6 MB
  • 8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4 35.8 MB
  • 8. Recurrent Neural Networks/16. Word2Vec Part Two.mp4 35.0 MB
  • 9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
  • 11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4 34.4 MB
  • 6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
  • 4. Crash Course Overview/2. NumPy Crash Course.mp4 34.1 MB
  • 6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 33.5 MB
[磁力链接] 添加时间:2021-03-23 大小:2.5 GB 最近下载:2025-10-04 热度:986

[DesireCourse.Net] Udemy - Python para Data Science e Machine Learning - COMPLETO

  • 17. Regressão Logística/6. Regressão logística com Python - Solução.mp4 71.3 MB
  • 7. Python para análise de dados - Exercícios Pandas/2. Soluções - Salários SF.mp4 69.5 MB
  • 13. Projetos de análise de dados/7. Análise de dados do mercado financeiro - Parte 2.mp4 63.5 MB
  • 15. Regressões lineares/5. Regressões lineares - Solução projeto.mp4 63.2 MB
  • 13. Projetos de análise de dados/3. Ligações para 911 - Parte 1.mp4 63.1 MB
  • 24. Processamento de linguagem natural/6. NLP com Python - Soluções.mp4 59.7 MB
  • 18. K Nearest Neighbors (KNNs)/4. KNN - Solução Projeto.mp4 54.9 MB
  • 7. Python para análise de dados - Exercícios Pandas/4. Soluções Compras de Ecomerce.mp4 54.0 MB
  • 13. Projetos de análise de dados/4. Ligações para 911 - Parte 2.mp4 51.0 MB
  • 9. Python para visualização de dados - Seaborn/2. Plots de distribuição.mp4 50.3 MB
  • 24. Processamento de linguagem natural/3. NLP com Python - Parte 2.mp4 49.8 MB
  • 20. Support Vector Machines (SVMs)/2. SVM com Python.mp4 48.4 MB
  • 21. K Means Clustering/4. K Means - Solução Projeto.mp4 47.6 MB
  • 12. Python para visualização de dados - Plots geográficos/2. Mapas Choropleth - Parte 1 - USA.mp4 45.6 MB
  • 24. Processamento de linguagem natural/4. NLP com Python - Parte 3.mp4 44.6 MB
  • 15. Regressões lineares/2. Regressões lineares com Python - Parte 1.mp4 44.6 MB
  • 17. Regressão Logística/3. Regressão logística com Python - Parte 2.mp4 44.1 MB
  • 13. Projetos de análise de dados/6. Análise de dados do mercado financeiro - Parte 1.mp4 44.0 MB
  • 9. Python para visualização de dados - Seaborn/5. Plots de regressão.mp4 43.4 MB
  • 25. Big Data e Spark com Python/5. Configurando uma instância EC2 no AWS.mp4 42.9 MB
[磁力链接] 添加时间:2021-03-12 大小:3.0 GB 最近下载:2025-10-04 热度:2025

Total Training - Machine Learning - Python Programming From Beginner to Intermediate

  • 01 - Introduction.mp4 60.3 MB
  • 02 - Coding is Like Cooking.mp4 133.3 MB
  • 03 - Anaconda & Pip.mp4 39.4 MB
  • 04 - Variables are Like Containers.mp4 63.1 MB
  • 05 - A List is a List.mp4 48.2 MB
  • 06 - Fun with Lists!.mp4 30.3 MB
  • 07 - Dictionaries & If-Else.mp4 41.0 MB
  • 08 - Don't Jump through Hoops - Use Loops.mp4 20.9 MB
  • 09 - Doing Stuff with Loops.mp4 37.4 MB
  • 10 - Everything in Life is a List - Strings as Lists.mp4 23.8 MB
  • 11 - Modules are Cool for Code-Reuse.mp4 10.7 MB
  • 12 - Our First Serious Program - Downloading a Webpage.mp4 66.8 MB
  • 13 - A Few Details - Conditionals.mp4 44.5 MB
  • 14 - A Few Details - Exception Handling in Python.mp4 45.2 MB
  • 15 - A File is Like a Barrel.mp4 70.9 MB
  • 16 - Auto-Generating Spreadsheets with Python.mp4 49.1 MB
  • 17 - Auto-Generating Spreadsheets - Download & Unzip.mp4 75.7 MB
  • 18 - Auto-Generating Spreadsheets - Parcing CSV Files.mp4 61.9 MB
  • 19 - Auto-Generating Spreadsheets with XLSXwriter.mp4 16.1 MB
  • 20 - Functions are Like Food Processors.mp4 54.2 MB
[磁力链接] 添加时间:2017-08-06 大小:3.3 GB 最近下载:2025-10-04 热度:2759

[FreeCourseLab.com] Udemy - Learning Python for Data Analysis and Visualization

  • 10. Machine Learning/16. Decision Trees and Random Forests.mp4 160.4 MB
  • 10. Machine Learning/19. Natural Language Processing Part 3.mp4 97.1 MB
  • 9. Example Projects/17. Data Project - Election Analysis Part 4.mp4 86.1 MB
  • 10. Machine Learning/20. Natural Language Processing Part 4.mp4 70.4 MB
  • 10. Machine Learning/18. Natural Language Processing Part 2.mp4 62.6 MB
  • 10. Machine Learning/17. Natural Language Processing Part 1.mp4 46.0 MB
  • 2. Setup/3. iPythonJupyter Notebook Overview.mp4 41.4 MB
  • 9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4 38.6 MB
  • 10. Machine Learning/13. Support Vector Machines - Part 2.mp4 37.7 MB
  • 10. Machine Learning/9. Logistic Regression Part 4.mp4 37.0 MB
  • 10. Machine Learning/5. Linear Regression Part 4.mp4 32.4 MB
  • 11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 32.2 MB
  • 10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 32.1 MB
  • 2. Setup/2. IDEs and Course Resources.mp4 31.8 MB
  • 10. Machine Learning/4. Linear Regression Part 3.mp4 28.5 MB
  • 8. Data Visualization/3. Kernel Density Estimate Plots.mp4 28.3 MB
  • 10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 28.1 MB
  • 9. Example Projects/1. Data Projects Preview.mp4 27.1 MB
  • 10. Machine Learning/6. Logistic Regression Part 1.mp4 26.2 MB
  • 9. Example Projects/15. Data Project - Election Analysis Part 2.mp4 26.1 MB
[磁力链接] 添加时间:2021-04-06 大小:2.1 GB 最近下载:2025-10-03 热度:1556

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

[FreeCourseSite.com] Udemy - Machine Learning & Deep Learning in Python & R

  • 27 ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
  • 37 Time Series - Preprocessing in Python/003 Time Series - Visualization in Python.mp4 173.2 MB
  • 18 Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4 169.1 MB
  • 26 ANN in Python/009 Building Neural Network for Regression Problem.mp4 163.5 MB
  • 26 ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
  • 23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
  • 27 ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
  • 27 ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
  • 34 Transfer Learning _ Basics/006 Project - Transfer Learning - VGG16.mp4 135.4 MB
  • 07 Linear Regression/020 Ridge regression and Lasso in Python.mp4 135.1 MB
  • 25 Neural Networks - Stacking cells to create network/003 Back Propagation.mp4 128.1 MB
  • 38 Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
  • 37 Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
  • 27 ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
  • 05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
  • 37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
  • 23 Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
  • 07 Linear Regression/021 Ridge regression and Lasso in R.mp4 108.5 MB
  • 14 Simple Decision Trees/013 Building a Regression Tree in R.mp4 108.3 MB
  • 35 Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
[磁力链接] 添加时间:2025-02-19 大小:14.1 GB 最近下载:2025-10-03 热度:68

Python Machine Learning Basics Shallow Learning Bootcamp

  • TutsGalaxy.com.txt 41 Bytes
  • Torrent_downloaded_from_Demonoid_-_www.demonoid.pw_.txt 59 Bytes
  • Read Me.txt 80 Bytes
  • Python Machine Learning Basics Shallow Learning Bootcamp.zip 453.7 MB
[磁力链接] 添加时间:2018-10-03 大小:453.7 MB 最近下载:2025-10-02 热度:72

[FreeCourseSite.com] Udemy - Modern Deep Learning in Python

  • 09 Project Facial Expression Recognition/028 Class-Based ANN in Theano.mp4 46.1 MB
  • 10 Appendix/031 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
  • 09 Project Facial Expression Recognition/029 Class-Based ANN in TensorFlow.mp4 39.2 MB
  • 07 GPU Speedup Homework and Other Misc Topics/018 Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
  • 10 Appendix/032 How to Code by Yourself part 1.mp4 25.7 MB
  • 06 TensorFlow/017 Building a neural network in TensorFlow.mp4 25.0 MB
  • 08 Modern Regularization Techniques/023 Dropout Regularization.mp4 23.8 MB
  • 05 Theano/015 Building a neural network in Theano.mp4 22.8 MB
  • 09 Project Facial Expression Recognition/025 Facial Expression Recognition Problem Description.mp4 22.5 MB
  • 05 Theano/014 Theano Basics Variables Functions Expressions Optimization.mp4 20.3 MB
  • 06 TensorFlow/016 TensorFlow Basics Variables Functions Expressions Optimization.mp4 17.9 MB
  • 10 Appendix/033 How to Code by Yourself part 2.mp4 15.5 MB
  • 03 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp4 15.3 MB
  • 02 Gradient Descent Full vs Batch vs Stochastic/006 Full vs Batch vs Stochastic Gradient Descent in code.mp4 14.7 MB
  • 04 Choosing Hyperparameters/012 Grid Search in Code.mp4 14.4 MB
  • 09 Project Facial Expression Recognition/027 Utilities walkthrough.mp4 14.1 MB
  • 01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 11.7 MB
  • 03 Momentum and adaptive learning rates/010 Constant learning rate vs. RMSProp in Code.mp4 11.5 MB
  • 09 Project Facial Expression Recognition/026 The class imbalance problem.mp4 10.6 MB
  • 07 GPU Speedup Homework and Other Misc Topics/022 Theano vs. TensorFlow.mp4 9.6 MB
[磁力链接] 添加时间:2021-03-08 大小:514.7 MB 最近下载:2025-10-02 热度:733

[FreeTutorials.Us] Udemy - complete-guide-to-tensorflow-for-deep-learning-with-python

  • 01 Introduction/001 Introduction.mp4 12.5 MB
  • 01 Introduction/001 Introduction-subtitle-en.vtt 4.0 kB
  • 01 Introduction/002 Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks _).mp4 17.2 MB
  • 01 Introduction/002 Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks _)-subtitle-en.vtt 14.8 kB
  • 01 Introduction/002 TensorFlow-Bootcamp.zip 305.2 MB
  • 01 Introduction/003 TensorFlow-Bootcamp.zip 305.2 MB
  • 02 Installation and Setup/005 Installing TensorFlow Environment.mp4 29.2 MB
  • 02 Installation and Setup/005 Installing TensorFlow Environment-subtitle-en.vtt 17.5 kB
  • 03 What is Machine Learning_/006 Machine Learning Overview.mp4 31.9 MB
  • 03 What is Machine Learning_/006 Machine Learning Overview-subtitle-en.vtt 24.1 kB
  • 03 What is Machine Learning_/links-to-visit.txt 147 Bytes
  • 04 Crash Course Overview/007 Crash Course Section Introduction.mp4 2.3 MB
  • 04 Crash Course Overview/007 Crash Course Section Introduction-subtitle-en.vtt 1.8 kB
  • 04 Crash Course Overview/008 NumPy Crash Course.mp4 34.1 MB
  • 04 Crash Course Overview/008 NumPy Crash Course-subtitle-en.vtt 20.7 kB
  • 04 Crash Course Overview/009 Pandas Crash Course.mp4 9.5 MB
  • 04 Crash Course Overview/009 Pandas Crash Course-subtitle-en.vtt 6.0 kB
  • 04 Crash Course Overview/010 Data Visualization Crash Course.mp4 20.5 MB
  • 04 Crash Course Overview/010 Data Visualization Crash Course-subtitle-en.vtt 10.3 kB
  • 04 Crash Course Overview/011 SciKit Learn Preprocessing Overview.mp4 21.3 MB
[磁力链接] 添加时间:2018-01-28 大小:2.1 GB 最近下载:2025-10-02 热度:1331

[FreeCoursesOnline.Us] Linkedin - Learning Python GUI Programming

  • 01 - Introduction to Python GUI - Learning Python GUI Programming.en.srt 6.3 kB
  • 01 - Introduction to Python GUI - Learning Python GUI Programming.mp4 42.9 MB
  • 02 - Adding a label to the GUI form - Learning Python GUI Programming.en.srt 3.6 kB
  • 02 - Adding a label to the GUI form - Learning Python GUI Programming.mp4 16.5 MB
  • 03 - Creating buttons and text box widgets - Learning Python GUI Programming.en.srt 6.7 kB
  • 03 - Creating buttons and text box widgets - Learning Python GUI Programming.mp4 27.9 MB
  • 04 - Exploring widgets - Learning Python GUI Programming.en.srt 8.3 kB
  • 04 - Exploring widgets - Learning Python GUI Programming.mp4 35.7 MB
  • 05 - Adding extra features - Learning Python GUI Programming.en.srt 12.6 kB
  • 05 - Adding extra features - Learning Python GUI Programming.mp4 54.6 MB
  • 06 - Adding several widgets in a loop - Learning Python GUI Programming.en.srt 4.9 kB
  • 06 - Adding several widgets in a loop - Learning Python GUI Programming.mp4 19.7 MB
  • 07 - Arranging several labels within a label frame - Learning Python GUI Programming.en.srt 5.6 kB
  • 07 - Arranging several labels within a label frame - Learning Python GUI Programming.mp4 23.4 MB
  • 08 - Using padding to add space around widgets - Learning Python GUI Programming.en.srt 5.8 kB
  • 08 - Using padding to add space around widgets - Learning Python GUI Programming.mp4 24.1 MB
  • 09 - Expanding the GUI dynamically using widgets - Learning Python GUI Programming.en.srt 7.6 kB
  • 09 - Expanding the GUI dynamically using widgets - Learning Python GUI Programming.mp4 32.8 MB
  • 10 - Aligning the GUI widgets by embedding frames within frames - Learning Python GUI Programming.en.srt 7.9 kB
  • 10 - Aligning the GUI widgets by embedding frames within frames - Learning Python GUI Programming.mp4 37.3 MB
[磁力链接] 添加时间:2018-02-01 大小:2.2 GB 最近下载:2025-10-01 热度:1680

Machine Learning and Data Science Hands-on with Python and R

  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/107. Tensorflow-Playground.mp4 143.3 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/14. Getting started with Anaconda.mp4 142.8 MB
  • Machine Learning and Data Science Hands-on with Python and R/10. Natural Language Processing (NLP) Tutorials/6. Replacing Contractions.mp4 141.6 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/108. Average of Quarter Denationalization.mp4 133.1 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/55. Creating a Graph for Kmeans Clustering.mp4 132.8 MB
  • Machine Learning and Data Science Hands-on with Python and R/3. Machine Learning Project #1 - Shipping and Time Estimation/8. Assigning a Training Set.mp4 131.3 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/54. Example of Kmeans Dataset.mp4 128.6 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/126. More on Rstudio in Market Analysis.mp4 128.5 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/85. R Type Model.mp4 127.2 MB
  • Machine Learning and Data Science Hands-on with Python and R/4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/3. Checking the Function Argument.mp4 127.1 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/79. Numeric Hosing Data.mp4 126.1 MB
  • Machine Learning and Data Science Hands-on with Python and R/3. Machine Learning Project #1 - Shipping and Time Estimation/13. Normalization and Discretization.mp4 125.3 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/117. Example of Dataset Boosting in Gradient Continues.mp4 118.7 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/58. Grid.mp4 116.2 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/19. Arrays.mp4 115.7 MB
  • Machine Learning and Data Science Hands-on with Python and R/13. BIP - Business Intelligence Publisher using Siebel/8. Showing Report Views on Application.mp4 115.4 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/52. Pairplot.mp4 115.1 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/23. Universal Functions.mp4 114.9 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/101. Forecasting Using Stock Price.mp4 114.2 MB
  • Machine Learning and Data Science Hands-on with Python and R/7. Machine Learning Project #5 - Fraud Detection in Credit Payments/10. VRS.mp4 112.7 MB
[磁力链接] 添加时间:2024-01-07 大小:32.4 GB 最近下载:2025-09-30 热度:2238

[FreeCourseLab.com] Udemy - Machine Learning using Python

  • 5. Evaluation Metrics/4. Classification Reports in Evaluation Metrics.mp4 122.5 MB
  • 5. Evaluation Metrics/2. Example of Evaluation Metrics.mp4 102.6 MB
  • 3. Linear Regression/1. Linear Regression in ML.mp4 87.0 MB
  • 3. Linear Regression/4. Support Vector Algorithm in ML.mp4 85.5 MB
  • 3. Linear Regression/3. Linear Regression Example Continues.mp4 83.6 MB
  • 5. Evaluation Metrics/5. Example of MAE, MSE and Variance using Evaluation Metrics.mp4 78.5 MB
  • 4. Classifier and Python Package/4. Apriori Python Package.mp4 78.1 MB
  • 4. Classifier and Python Package/5. Apriori Python Package Continues.mp4 78.1 MB
  • 6. Missing Value/2. Handling Missing Values in Python Continues.mp4 75.8 MB
  • 2. Usage of Machine Learning Packages in Python/2. Example of Machine Learning Using Python.mp4 73.6 MB
  • 2. Usage of Machine Learning Packages in Python/1. Installation of Python.mp4 71.9 MB
  • 4. Classifier and Python Package/3. K Mean Clustering.mp4 70.5 MB
  • 4. Classifier and Python Package/1. Decision Tree Classifier.mp4 68.2 MB
  • 3. Linear Regression/2. Linear Regression Example.mp4 67.8 MB
  • 6. Missing Value/1. Handling Missing Values in Python.mp4 66.7 MB
  • 5. Evaluation Metrics/6. Sea Born Example using Evaluation Metrics.mp4 66.6 MB
  • 5. Evaluation Metrics/1. Evaluation Metrics.mp4 63.2 MB
  • 6. Missing Value/4. More on Exception Handling in Python.mp4 61.5 MB
  • 6. Missing Value/3. Exception Handling in Python.mp4 59.1 MB
  • 4. Classifier and Python Package/2. Random Forest Classification.mp4 59.0 MB
[磁力链接] 添加时间:2021-03-18 大小:1.7 GB 最近下载:2025-09-29 热度:270

[ FreeCourseWeb.com ] Complete Python Course with Machine Learning & Data Science.zip

  • [ FreeCourseWeb.com ] Complete Python Course with Machine Learning & Data Science.zip 678.1 MB
[磁力链接] 添加时间:2021-05-10 大小:678.1 MB 最近下载:2025-09-29 热度:125

Udemy - A deep understanding of deep learning (with Python intro) 7-2023

  • 19 - Understand and design CNNs/005 Examine feature map activations.mp4 263.6 MB
  • 22 - Style transfer/004 Transferring the screaming bathtub.mp4 220.6 MB
  • 19 - Understand and design CNNs/004 Classify Gaussian blurs.mp4 184.6 MB
  • 07 - ANNs (Artificial Neural Networks)/009 Learning rates comparison.mp4 176.8 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/005 CodeChallenge sine wave extrapolation.mp4 174.7 MB
  • 18 - Convolution and transformations/003 Convolution in code.mp4 173.8 MB
  • 14 - FFN milestone projects/004 Project 2 My solution.mp4 163.3 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/004 Predicting alternating sequences.mp4 161.2 MB
  • 19 - Understand and design CNNs/002 CNN to classify MNIST digits.mp4 151.9 MB
  • 19 - Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4 150.9 MB
  • 07 - ANNs (Artificial Neural Networks)/013 Multi-output ANN (iris dataset).mp4 148.9 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/009 Lorem ipsum.mp4 148.5 MB
  • 16 - Autoencoders/004 AEs for occlusion.mp4 144.9 MB
  • 26 - Where to go from here/002 How to read academic DL papers.mp4 144.0 MB
  • 19 - Understand and design CNNs/011 Discover the Gaussian parameters.mp4 143.3 MB
  • 21 - Transfer learning/007 Pretraining with autoencoders.mp4 142.6 MB
  • 16 - Autoencoders/006 Autoencoder with tied weights.mp4 137.9 MB
  • 23 - Generative adversarial networks/004 CNN GAN with Gaussians.mp4 137.8 MB
  • 09 - Regularization/004 Dropout regularization in practice.mp4 137.1 MB
  • 07 - ANNs (Artificial Neural Networks)/008 ANN for classifying qwerties.mp4 136.7 MB
[磁力链接] 添加时间:2024-02-15 大小:17.2 GB 最近下载:2025-09-29 热度:1175

[DownTuts.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:2024-02-01 大小:4.7 GB 最近下载:2025-09-29 热度:426

The Complete Ensemble Learning Course 2021 With Python

  • [TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/05 Stacking Method/004 Stacking for regression Implementation.mp4 289.7 MB
  • [TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/05 Stacking Method/005 Stacking for classification Implementation.mp4 237.4 MB
  • [TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/04 Voting Method/007 Analysing our results.mp4 218.4 MB
  • [TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/10 Predicting Bitcoin Prices - REAL WORLD PROBLEMS/008 Stacking Implementation.mp4 207.9 MB
  • [TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/11 Movie Recommendation system -REAL WORLD PROBLEMS/005 Creating the dot model.mp4 207.2 MB
  • [TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/03 Basic Ensemble Learning concept/005 Validation Curves Implementation.mp4 207.0 MB
  • [TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/03 Basic Ensemble Learning concept/006 Learning Curves Implementation.mp4 203.5 MB
  • [TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/07 Boosting Method/003 AdaBoost Implementation Method 1.mp4 202.0 MB
  • [TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/10 Predicting Bitcoin Prices - REAL WORLD PROBLEMS/005 Simple Bitcoin Prediction.mp4 187.9 MB
  • [TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/07 Boosting Method/008 Gradient boosting Implementation Method 1.mp4 168.1 MB
  • [TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/04 Voting Method/002 Custom hard voting implementation Part 1.mp4 166.3 MB
  • [TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/11 Movie Recommendation system -REAL WORLD PROBLEMS/007 Creating a stacking ensemble.mp4 157.3 MB
  • [TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/02 Basic Machine Learning concept/013 K-means Implementation.mp4 156.5 MB
  • [TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/10 Predicting Bitcoin Prices - REAL WORLD PROBLEMS/006 Simulator Implementation.mp4 153.7 MB
  • [TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/04 Voting Method/006 Soft voting implementation by Using scikit-learn.mp4 152.9 MB
  • [TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/06 Bagging Method/006 Bagging Implementation Method 1.mp4 141.2 MB
  • [TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/10 Predicting Bitcoin Prices - REAL WORLD PROBLEMS/007 Voting Implementation.mp4 138.3 MB
  • [TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/09 Clustering/004 K-means Implementation Part 2.mp4 136.1 MB
  • [TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/04 Voting Method/004 Analysing our results.mp4 126.5 MB
  • [TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/07 Boosting Method/007 Introduction to Gradient boosting.mp4 121.5 MB
[磁力链接] 添加时间:2025-01-13 大小:7.3 GB 最近下载:2025-09-29 热度:426

[GigaCourse.Com] Udemy - Bayesian Machine Learning in Python A

  • 08 Setting Up Your Environment (FAQ by Student Request)/067 Windows-Focused Environment Setup 2018.mp4 195.5 MB
  • 09 Extra Help With Python Coding for Beginners (FAQ by Student Request)/071 Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 05 Bayesian A_B Testing/052 Bayesian Bandits _ Thompson Sampling Theory (pt 2).mp4 78.5 MB
  • 04 Traditional A_B Testing/033 Z-Test Code (pt 1).mp4 71.2 MB
  • 05 Bayesian A_B Testing/051 Bayesian Bandits _ Thompson Sampling Theory (pt 1).mp4 58.9 MB
  • 05 Bayesian A_B Testing/048 UCB1 Theory.mp4 58.5 MB
  • 02 The High-Level Picture/005 What is Bayesian Machine Learning_.mp4 57.3 MB
  • 03 Bayes Rule and Probability Review/016 Probability Review in Code.mp4 57.0 MB
  • 05 Bayesian A_B Testing/037 Section Introduction_ The Explore-Exploit Dilemma.mp4 54.8 MB
  • 05 Bayesian A_B Testing/060 (Optional) Alternative Bandit Designs.mp4 54.5 MB
  • 04 Traditional A_B Testing/028 Hypothesis Testing - The API Approach.mp4 50.5 MB
  • 07 Practice Makes Perfect/066 The most important quiz of all - Obtaining an infinite amount of practice.mp4 49.4 MB
  • 05 Bayesian A_B Testing/038 Applications of the Explore-Exploit Dilemma.mp4 49.3 MB
  • 05 Bayesian A_B Testing/055 Thompson Sampling With Gaussian Reward Theory.mp4 49.2 MB
  • 04 Traditional A_B Testing/036 Classical A_B Testing Section Summary.mp4 48.5 MB
  • 05 Bayesian A_B Testing/044 Comparing Different Epsilons.mp4 46.1 MB
  • 08 Setting Up Your Environment (FAQ by Student Request)/068 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 01 Introduction and Outline/003 How to succeed in this course.mp4 45.9 MB
  • 03 Bayes Rule and Probability Review/011 Maximum Likelihood Estimation - Bernoulli.mp4 45.9 MB
  • 06 Bayesian A_B Testing Extension/061 More about the Explore-Exploit Dilemma.mp4 45.9 MB
[磁力链接] 添加时间:2024-01-15 大小:2.8 GB 最近下载:2025-09-29 热度:1562

GetFreeCourses.Co-Udemy-Complete Machine Learning & Data Science with Python A-Z

  • 4. Linear Regression Algorithm/5. Linear Regression Algorithm Project Solutions.mp4 207.1 MB
  • 4. Linear Regression Algorithm/2. Linear Regression Algorithm With Python Part 1.mp4 173.8 MB
  • 7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/4. K Nearest Neighbors Algorithm Project Solutions.mp4 151.4 MB
  • 7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/2. K Nearest Neighbors Algorithm With Python.mp4 147.2 MB
  • 9. Support Vector Machine Algorithm/2. Support Vector Machines Algorithm With Python.mp4 143.3 MB
  • 11. K Means Clustering Algorithm/4. K Means Clustering Algorithm Project Solutions.mp4 134.8 MB
  • 13. Principal Component Analysis (PCA)/2. Principal Component Analysis (PCA) With Python.mp4 133.1 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/3. Logistic Regression Algorithm With Python Part 2.mp4 120.4 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/6. Logistic Regression Algorithm Project Solutions.mp4 119.8 MB
  • 2. Evalution Metrics/2. Evaluating Performance Classification Error Metrics.mp4 117.6 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/2. Logistic Regression Algorithm With Python Part 1.mp4 115.8 MB
  • 8. Decision Trees And Random Forest Algorithm/4. Decision Trees And Random Forest Algorithm Project Solutions Part 1.mp4 111.0 MB
  • 9. Support Vector Machine Algorithm/4. Support Vector Machines Algorithm Project Solutions.mp4 102.7 MB
  • 14. Recommender System Algorithm/2. Recommender System Algorithm With Python Part 1.mp4 98.6 MB
  • 14. Recommender System Algorithm/3. Recommender System Algorithm With Python Part 2.mp4 97.6 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/1. Logistic Regression Algorithm Theory.mp4 96.0 MB
  • 11. K Means Clustering Algorithm/2. K Means Clustering Algorithm With Python.mp4 93.4 MB
  • 8. Decision Trees And Random Forest Algorithm/2. Decision Trees And Random Forest Algorithm With Python.mp4 90.4 MB
  • 8. Decision Trees And Random Forest Algorithm/5. Decision Trees And Random Forest Algorithm Project Solutions Part 2.mp4 88.5 MB
  • 2. Evalution Metrics/4. Machine Learning With Python.mp4 70.0 MB
[磁力链接] 添加时间:2022-03-14 大小:3.3 GB 最近下载:2025-09-29 热度:3705

[FreeCourseSite.com] Udemy - Bayesian Machine Learning in Python AB Testing

  • 8 - Setting Up Your Environment FAQ by Student Request/68 - Anaconda Environment Setup.mp4 323.2 MB
  • 8 - Setting Up Your Environment FAQ by Student Request/69 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 200.8 MB
  • 10 - Effective Learning Strategies for Machine Learning FAQ by Student Request/77 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 142.4 MB
  • 10 - Effective Learning Strategies for Machine Learning FAQ by Student Request/76 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 124.1 MB
  • 9 - Extra Help With Python Coding for Beginners FAQ by Student Request/72 - Proof that using Jupyter Notebook is the same as not using it.mp4 113.3 MB
  • 9 - Extra Help With Python Coding for Beginners FAQ by Student Request/70 - How to Code by Yourself part 1.mp4 97.5 MB
  • 4 - Traditional AB Testing/33 - ZTest Code pt 1.mp4 87.4 MB
  • 11 - Appendix FAQ Finale/79 - BONUS.mp4 63.8 MB
  • 10 - Effective Learning Strategies for Machine Learning FAQ by Student Request/75 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced.mp4 62.4 MB
  • 5 - Bayesian AB Testing/55 - Thompson Sampling With Gaussian Reward Theory.mp4 56.1 MB
  • 7 - Practice Makes Perfect/67 - The most important quiz of all Obtaining an infinite amount of practice.mp4 54.6 MB
  • 5 - Bayesian AB Testing/38 - Applications of the ExploreExploit Dilemma.mp4 49.3 MB
  • 5 - Bayesian AB Testing/52 - Bayesian Bandits Thompson Sampling Theory pt 2.mp4 44.0 MB
  • 3 - Bayes Rule and Probability Review/19 - Suggestion Box.mp4 41.7 MB
  • 5 - Bayesian AB Testing/56 - Thompson Sampling With Gaussian Reward Code.mp4 36.6 MB
  • 1 - Introduction and Outline/2 - Where to get the code for this course.mp4 36.4 MB
  • 4 - Traditional AB Testing/34 - ZTest Code pt 2.mp4 35.5 MB
  • 5 - Bayesian AB Testing/61 - Optional Alternative Bandit Designs.mp4 35.3 MB
  • 3 - Bayes Rule and Probability Review/16 - Probability Review in Code.mp4 34.1 MB
  • 5 - Bayesian AB Testing/48 - UCB1 Theory.mp4 33.6 MB
[磁力链接] 添加时间:2024-06-26 大小:2.8 GB 最近下载:2025-09-28 热度:503


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