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Udemy - Python for Data Science and Machine Learning Bootcamp (5.2020)

  • 25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Neural Nets and Deep Learning/8. Activation Functions.mp4 65.6 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
  • 25. Neural Nets and Deep Learning/11. Backpropagation.mp4 60.8 MB
[磁力链接] 添加时间:2025-04-23 大小:5.4 GB 最近下载:2025-10-28 热度:1029

[ DevCourseWeb.com ] Udemy - Self-Supervised Learning [Includes SimCLR + Python Coding]

  • ~Get Your Files Here !/4. Self-Supervised Learning/7. SimCLR, An UnSupervised Contrastive Pretext Model.mp4 400.0 MB
  • ~Get Your Files Here !/4. Self-Supervised Learning/3. Supervised Contrastive Pretext, Experiment 1.mp4 308.7 MB
  • ~Get Your Files Here !/4. Self-Supervised Learning/1. Self-Supervised Learning.mp4 296.1 MB
  • ~Get Your Files Here !/2. Supervised Models/1. Supervised Learning.mp4 274.7 MB
  • ~Get Your Files Here !/4. Self-Supervised Learning/8. SimCLR Experiment.mp4 262.8 MB
  • ~Get Your Files Here !/4. Self-Supervised Learning/5. Supervised Contrastive Pretext, Experiment 2.mp4 207.0 MB
  • ~Get Your Files Here !/2. Supervised Models/3. Transfer Learning & Fine-Tuning.mp4 197.9 MB
  • ~Get Your Files Here !/3. Labeling Task/1. Labeling Challenges.mp4 127.2 MB
  • ~Get Your Files Here !/1. Introduction/3. Python Notebooks.mp4 74.8 MB
  • ~Get Your Files Here !/1. Introduction/1. An Introduction to the Course.mp4 57.0 MB
  • ~Get Your Files Here !/4. Self-Supervised Learning/7. SimCLR, An UnSupervised Contrastive Pretext Model.srt 54.4 kB
  • ~Get Your Files Here !/4. Self-Supervised Learning/3. Supervised Contrastive Pretext, Experiment 1.srt 38.7 kB
  • ~Get Your Files Here !/4. Self-Supervised Learning/1. Self-Supervised Learning.srt 37.2 kB
  • ~Get Your Files Here !/4. Self-Supervised Learning/8. SimCLR Experiment.srt 32.2 kB
  • ~Get Your Files Here !/2. Supervised Models/1. Supervised Learning.srt 31.7 kB
  • ~Get Your Files Here !/2. Supervised Models/3. Transfer Learning & Fine-Tuning.srt 27.3 kB
  • ~Get Your Files Here !/4. Self-Supervised Learning/5. Supervised Contrastive Pretext, Experiment 2.srt 26.4 kB
  • ~Get Your Files Here !/4. Self-Supervised Learning/8.1 ssl_section04_lecture10.ipynb 25.3 kB
  • ~Get Your Files Here !/4. Self-Supervised Learning/5.1 ssl_section04_lecture08.ipynb 20.6 kB
  • ~Get Your Files Here !/4. Self-Supervised Learning/3.1 ssl_section04_lecture07.ipynb 20.2 kB
[磁力链接] 添加时间:2024-03-03 大小:2.2 GB 最近下载:2025-10-27 热度:1028

[FreeCourseSite.com] Udemy - Master Computer Vision™ OpenCV3 in Python & Machine Learning

  • 1. Course Introduction and Setup/7.1 MasteringComputerVision_V1.03.zip.zip 133.7 MB
  • 8. Machine Learning in Computer Vision/2. Mini Project 9 - Handwritten Digit Classification.mp4 63.5 MB
  • 5. Object Detection - Use Computer VIsion To Detect Objects In An Image/6. Mini Project 5 - Object Detection - Detect A Specific Object Using Your Webcam.mp4 45.5 MB
  • 8. Machine Learning in Computer Vision/3. Mini Project # 10 - Facial Recognition - Make Your Computer Recognize You.mp4 33.5 MB
  • 2. Basics of Computer Vision and OpenCV/6. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.mp4 32.1 MB
  • 7. Augmented Reality - Facial Landmark Identification (Filters, Swaps & Analysis)/4. Mini Project 8 - Yawn Detector and Counter.mp4 31.4 MB
  • 4. Image Segmentation - Extract Areas Specific Areas Of An Image Automatically/2. Sorting Contours - Sort Those Shapes By Size.mp4 31.2 MB
  • 9. Motion Analysis and Object Tracking/2. Background Subtraction and Foreground Subtraction.mp4 31.0 MB
  • 7. Augmented Reality - Facial Landmark Identification (Filters, Swaps & Analysis)/2. Merging Faces (Face Swaps) - Combine Two Faces For Fun & Sometimes Scary Results.mp4 30.1 MB
  • 7. Augmented Reality - Facial Landmark Identification (Filters, Swaps & Analysis)/1. Face Analysis and Filtering - Identify Face Outline, Lips, Eyes Even Eyebrows.mp4 29.7 MB
  • 5. Object Detection - Use Computer VIsion To Detect Objects In An Image/5. SIFT, SURF, FAST, BRIEF & ORB - Learn The Different Ways To Get Image Features.mp4 26.7 MB
  • 6. Face, People and Car Detection/2. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.mp4 26.2 MB
  • 1. Course Introduction and Setup/4. Installation of OpenCV & Python (Windows).mp4 25.1 MB
  • 2. Basics of Computer Vision and OpenCV/4. Getting Started with OpenCV - A Brief OpenCV Intro.mp4 24.8 MB
  • 4. Image Segmentation - Extract Areas Specific Areas Of An Image Automatically/1. Segmentation and Contours - Extract Defined Shapes In Your Image.mp4 23.5 MB
  • 5. Object Detection - Use Computer VIsion To Detect Objects In An Image/7. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.mp4 20.9 MB
  • 9. Motion Analysis and Object Tracking/5. Optical Flow - Track Moving Objects In Videos.mp4 20.8 MB
  • 9. Motion Analysis and Object Tracking/1. Filtering by Color.mp4 19.6 MB
  • 4. Image Segmentation - Extract Areas Specific Areas Of An Image Automatically/6. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.mp4 18.5 MB
  • 3. Image Manipulations - The Many Ways You Can Change Images/11. Thresholding (Binarization) - Making Certain Images Areas Black or White.mp4 18.5 MB
[磁力链接] 添加时间:2021-03-24 大小:1.1 GB 最近下载:2025-10-26 热度:1027

[ DevCourseWeb.com ] Udemy - Neural Networks in Python from Scratch - Learning by Doing

  • ~Get Your Files Here !/01 - Introduction Interpolation & Machine learning/003 Interpolation (or regression) - The fundamental principle of machine learning.mp4 198.8 MB
  • ~Get Your Files Here !/03 - Modifying the problem Sign of the sum of two numbers/002 Modify input, output & weights.mp4 94.1 MB
  • ~Get Your Files Here !/02 - Your first neural network Sum of two numbers/003 What are neural networks.mp4 86.6 MB
  • ~Get Your Files Here !/04 - Same code, different problem Image recognition/002 Apply our neural network to the new problem Number recognition.mp4 75.5 MB
  • ~Get Your Files Here !/04 - Same code, different problem Image recognition/003 Improve the gradient function.mp4 68.5 MB
  • ~Get Your Files Here !/02 - Your first neural network Sum of two numbers/007 Accuracy & Error functions.mp4 66.8 MB
  • ~Get Your Files Here !/04 - Same code, different problem Image recognition/004 Analysis of the trained neural network.mp4 64.5 MB
  • ~Get Your Files Here !/03 - Modifying the problem Sign of the sum of two numbers/005 Modify gradient of the error function.mp4 63.4 MB
  • ~Get Your Files Here !/02 - Your first neural network Sum of two numbers/009 Training the neural network via gradient descent.mp4 61.4 MB
  • ~Get Your Files Here !/03 - Modifying the problem Sign of the sum of two numbers/003 Add an activation function to the neural network.mp4 60.8 MB
  • ~Get Your Files Here !/03 - Modifying the problem Sign of the sum of two numbers/006 Training & Testing the modified neural network.mp4 60.4 MB
  • ~Get Your Files Here !/02 - Your first neural network Sum of two numbers/010 Using the trained network on the test data.mp4 50.2 MB
  • ~Get Your Files Here !/03 - Modifying the problem Sign of the sum of two numbers/004 Modify accuracy and error functions.mp4 49.2 MB
  • ~Get Your Files Here !/02 - Your first neural network Sum of two numbers/002 From interpolation to neural networks.mp4 49.2 MB
  • ~Get Your Files Here !/01 - Introduction Interpolation & Machine learning/001 Overview of the course.mp4 48.2 MB
  • ~Get Your Files Here !/06 - [Resources]/001 [Installation] Python and Jupyter Notebook via Anaconda.mp4 44.8 MB
  • ~Get Your Files Here !/02 - Your first neural network Sum of two numbers/006 Initialize the weights & Calculate the output.mp4 44.8 MB
  • ~Get Your Files Here !/02 - Your first neural network Sum of two numbers/005 Prepare the training and testing data.mp4 43.0 MB
  • ~Get Your Files Here !/02 - Your first neural network Sum of two numbers/008 Gradient of the error function.mp4 41.1 MB
  • ~Get Your Files Here !/05 - Outlook & Goodbye/002 Outlook Pretrained neural networks & Machine learning in Wolfram Mathematica.mp4 38.1 MB
[磁力链接] 添加时间:2024-02-03 大小:1.5 GB 最近下载:2025-10-23 热度:1025

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

  • 23 Hierarchical Clustering/004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4 218.8 MB
  • 05 Pandas/028 Pandas Project Exercise Solutions.mp4 181.0 MB
  • 13 Logistic Regression/016 Logistic Regression Project Exercise - Solutions.mp4 152.6 MB
  • 08 Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three.mp4 143.9 MB
  • 17 Random Forests/007 Coding Classification with Random Forest Classifier - Part Two.mp4 136.7 MB
  • 05 Pandas/026 Pandas Pivot Tables.mp4 135.0 MB
  • 24 DBSCAN - Density-based spatial clustering of applications with noise/007 DBSCAN - Outlier Project Exercise Solutions.mp4 134.2 MB
  • 11 Feature Engineering and Data Preparation/003 Dealing with Outliers.mp4 126.5 MB
  • 11 Feature Engineering and Data Preparation/005 Dealing with Missing Data _ Part Two - Filling or Dropping data based on Rows.mp4 123.3 MB
  • 16 Tree Based Methods_ Decision Tree Learning/008 Coding Decision Trees - Part Two -Creating the Model.mp4 121.5 MB
  • 23 Hierarchical Clustering/003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4 120.4 MB
  • 07 Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4 116.5 MB
  • 24 DBSCAN - Density-based spatial clustering of applications with noise/002 DBSCAN - Theory and Intuition.mp4 114.4 MB
  • 20 Naive Bayes Classification and Natural Language Processing (Supervised Learning)/010 Text Classification Project Exercise Solutions.mp4 113.3 MB
  • 22 K-Means Clustering/011 K-Means Clustering Exercise Solution - Part Two.mp4 113.1 MB
  • 08 Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4 111.4 MB
  • 06 Matplotlib/011 Matplotlib Exercise Questions - Solutions.mp4 111.0 MB
  • 07 Seaborn Data Visualizations/014 Seaborn Plot Exercises Solutions.mp4 110.8 MB
  • 11 Feature Engineering and Data Preparation/006 Dealing with Missing Data _ Part 3 - Fixing data based on Columns.mp4 110.4 MB
  • 24 DBSCAN - Density-based spatial clustering of applications with noise/005 DBSCAN - Hyperparameter Tuning Methods.mp4 110.2 MB
[磁力链接] 添加时间:2022-01-17 大小:11.3 GB 最近下载:2025-10-26 热度:1018

[FreeTutorials.Us] bayesian-machine-learning-in-python-ab-testing

  • 01 Introduction and Outline/001 Whats this course all about.mp4 3.9 MB
  • 01 Introduction and Outline/002 Where to get the code for this course.mp4 2.1 MB
  • 01 Introduction and Outline/003 How to succeed in this course.mp4 5.8 MB
  • 02 Bayes Rule and Probability Review/004 Bayes Rule Review.mp4 15.4 MB
  • 02 Bayes Rule and Probability Review/005 Simple Probability Problem.mp4 3.4 MB
  • 02 Bayes Rule and Probability Review/006 The Monty Hall Problem.mp4 6.3 MB
  • 02 Bayes Rule and Probability Review/007 Imbalanced Classes.mp4 7.5 MB
  • 02 Bayes Rule and Probability Review/008 Maximum Likelihood - Mean of a Gaussian.mp4 8.0 MB
  • 02 Bayes Rule and Probability Review/009 Maximum Likelihood - Click-Through Rate.mp4 7.1 MB
  • 02 Bayes Rule and Probability Review/010 Confidence Intervals.mp4 16.6 MB
  • 02 Bayes Rule and Probability Review/011 What is the Bayesian Paradigm.mp4 10.4 MB
  • 03 Traditional AB Testing/012 AB Testing Problem Setup.mp4 7.3 MB
  • 03 Traditional AB Testing/013 Simple AB Testing Recipe.mp4 8.2 MB
  • 03 Traditional AB Testing/014 P-Values.mp4 6.5 MB
  • 03 Traditional AB Testing/015 Test Characteristics Assumptions and Modifications.mp4 11.0 MB
  • 03 Traditional AB Testing/016 t-test in Code.mp4 6.2 MB
  • 03 Traditional AB Testing/017 0.01 vs 0.011 - Why should we care.mp4 2.9 MB
  • 03 Traditional AB Testing/018 AB Test for Click-Through Rates Chi-Square Test.mp4 9.9 MB
  • 03 Traditional AB Testing/019 CTR AB Test in Code.mp4 17.9 MB
  • 03 Traditional AB Testing/020 ABCD... Testing - The Bonferroni Correction.mp4 3.8 MB
[磁力链接] 添加时间:2017-08-19 大小:376.8 MB 最近下载:2025-10-16 热度:1017

[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:2025-10-27 热度:1007

[ DevCourseWeb.com ] Udemy - Data pre-processing for Machine Learning in Python

  • ~Get Your Files Here !/9. A complete pipeline/1. An example of a complete pipeline.mp4 127.1 MB
  • ~Get Your Files Here !/3. Encoding of the categorical features/2. One-hot encoding.mp4 120.3 MB
  • ~Get Your Files Here !/2. Data cleaning/6. ColumnTransformer and make_column_selector.mp4 92.7 MB
  • ~Get Your Files Here !/8. Filter-based feature selection/6. Feature importance according to a model.mp4 91.6 MB
  • ~Get Your Files Here !/2. Data cleaning/7. Exercises.mp4 84.7 MB
  • ~Get Your Files Here !/5. Pipelines/3. Exercises.mp4 82.6 MB
  • ~Get Your Files Here !/5. Pipelines/2. Pipelines and ColumnTransformer together.mp4 82.5 MB
  • ~Get Your Files Here !/8. Filter-based feature selection/2. Numerical features, numerical target.mp4 81.7 MB
  • ~Get Your Files Here !/4. Transformations of the numerical features/6. Exercise.mp4 80.5 MB
  • ~Get Your Files Here !/3. Encoding of the categorical features/5. Exercise.mp4 78.0 MB
  • ~Get Your Files Here !/6. Scaling/2. Normalization, Standardization, Robust scaling.mp4 74.6 MB
  • ~Get Your Files Here !/8. Filter-based feature selection/4. Categorical features, numerical target.mp4 74.6 MB
  • ~Get Your Files Here !/7. Principal Component Analysis/2. How to perform PCA.mp4 64.8 MB
  • ~Get Your Files Here !/2. Data cleaning/5. KNN blank filling.mp4 63.9 MB
  • ~Get Your Files Here !/4. Transformations of the numerical features/3. Binning.mp4 63.4 MB
  • ~Get Your Files Here !/2. Data cleaning/3. Cleaning the numerical features.mp4 62.0 MB
  • ~Get Your Files Here !/10. Oversampling/2. How to perform SMOTE.mp4 59.7 MB
  • ~Get Your Files Here !/8. Filter-based feature selection/5. Categorical features, categorical target.mp4 59.7 MB
  • ~Get Your Files Here !/8. Filter-based feature selection/9. Exercises.mp4 56.4 MB
  • ~Get Your Files Here !/8. Filter-based feature selection/3. Numerical features, categorical target.mp4 54.7 MB
[磁力链接] 添加时间:2022-04-15 大小:2.1 GB 最近下载:2025-10-19 热度:1007

Python Deep Learning Solutions [Video]

  • Exercise Files/code_33942.zip 5.1 GB
  • 1.Deep Learning Frameworks/02.Understanding TensorFlow, Keras and PyTorch Framework.mp4 24.2 MB
  • 1.Deep Learning Frameworks/03.Deep Learning Using CNTK and Gluon Framework.mp4 9.9 MB
  • 2. Feed-Forward Neural Networks/04.Implementing Single and Multi-Layer Neural Network.mp4 28.3 MB
  • 2. Feed-Forward Neural Networks/05.Experiment with Activation Functions, Hidden Layers, and Hidden Units.mp4 26.3 MB
  • 2. Feed-Forward Neural Networks/06.Autoencoder, Loss Function, and Optimizers.mp4 27.5 MB
  • 2. Feed-Forward Neural Networks/07.Overfitting Prevention Methods.mp4 16.5 MB
  • 3.Convolutional and Recurrent Neural Networks/08.Optimization Techniques for CNNs.mp4 20.1 MB
  • 3.Convolutional and Recurrent Neural Networks/09.Experimenting with Different Types of Initialization.mp4 29.8 MB
  • 3.Convolutional and Recurrent Neural Networks/10.Implementing Simple RNN and LSTM.mp4 17.8 MB
  • 3.Convolutional and Recurrent Neural Networks/11.Implementing GRUs and Bidirectional RNNs.mp4 17.0 MB
  • 4.GANs and Computer Vision/12.Implementing Generative Adversarial Networks.mp4 15.5 MB
  • 4.GANs and Computer Vision/13.Computer Vision Techniques.mp4 22.6 MB
  • 4.GANs and Computer Vision/14.Detecting Facial Key Points and Transferring Styles.mp4 12.5 MB
  • 5.Neural Network Learning and Data Processing/15.Hyper Parameter Selection and Tuning.mp4 19.3 MB
  • 5.Neural Network Learning and Data Processing/16.Speech Recognition.mp4 24.1 MB
  • 5.Neural Network Learning and Data Processing/17.Time Series and Structured Data.mp4 30.3 MB
  • 6.Network Internals and Pretrained Models/18.Visualizing and Analysing Network.mp4 16.4 MB
  • 6.Network Internals and Pretrained Models/19.Freezing and Storing the Network.mp4 11.4 MB
  • 6.Network Internals and Pretrained Models/20.Using InceptionV3 and ResNet50 Model.mp4 11.7 MB
[磁力链接] 添加时间:2018-07-23 大小:5.5 GB 最近下载:2025-10-28 热度:998

Learning Python for Data Analysis and Visualization

  • Torrent downloaded from demonoid.pw.txt 46 Bytes
  • Torrent Downloaded From ExtraTorrent.cc.txt 352 Bytes
  • Learning Python for Data Analysis.tgz 3.3 GB
[磁力链接] 添加时间:2017-02-11 大小:3.3 GB 最近下载:2025-09-09 热度:991

[ FreeCourseWeb.com ] Udemy - Practical Introduction to Machine Learning with Python.zip

  • [ FreeCourseWeb.com ] Udemy - Practical Introduction to Machine Learning with Python.zip 1.5 GB
[磁力链接] 添加时间:2021-03-18 大小:1.5 GB 最近下载:2025-09-11 热度:987

[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

[ FreeCourseWeb.com ] Udemy - Applied Advanced Machine Learning In Python

  • ~Get Your Files Here !/01 - Introduction/003 Introduction Me.mp4 631.1 MB
  • ~Get Your Files Here !/05 - Extreme Gradient Boosting Technique/004 XG Boost-Hands On Tutorial-Part 2.mp4 272.4 MB
  • ~Get Your Files Here !/05 - Extreme Gradient Boosting Technique/003 XGBoost-Hands On Tutorial.mp4 258.4 MB
  • ~Get Your Files Here !/04 - AddaBoost Machine Learning Algorithm/002 AddaBoost-Hands On Tutorial.mp4 208.6 MB
  • ~Get Your Files Here !/01 - Introduction/001 Everything You Should Know About Machine Learning.mp4 207.8 MB
  • ~Get Your Files Here !/03 - Gradient Booting Machine Learning Algorithm/002 GBM ML Algorithms-Hands On Tutorial.mp4 205.2 MB
  • ~Get Your Files Here !/05 - Extreme Gradient Boosting Technique/002 XGBoost Working Principle.mp4 171.7 MB
  • ~Get Your Files Here !/01 - Introduction/002 Mindset To Use machine Learning.mp4 170.1 MB
  • ~Get Your Files Here !/03 - Gradient Booting Machine Learning Algorithm/001 GBM ML Algorithms-Fundamentals.mp4 166.9 MB
  • ~Get Your Files Here !/05 - Extreme Gradient Boosting Technique/001 XGBoost Fundamentals.mp4 152.0 MB
  • ~Get Your Files Here !/05 - Extreme Gradient Boosting Technique/005 XGBoost-Hands On Tutorial-Part 3.mp4 137.6 MB
  • ~Get Your Files Here !/04 - AddaBoost Machine Learning Algorithm/001 AddaBoost ML.mp4 68.5 MB
  • ~Get Your Files Here !/02 - Approach To Machine Learning Model Building/001 General Approach To Machine Learning Model Building.mp4 54.7 MB
  • ~Get Your Files Here !/03 - Gradient Booting Machine Learning Algorithm/002 Tutorial-on-GBM-Algorithm.ipynb 1.8 MB
  • ~Get Your Files Here !/05 - Extreme Gradient Boosting Technique/003 Tutorial-on-XGBoost-Algorithm-with-Python.ipynb 437.7 kB
  • ~Get Your Files Here !/05 - Extreme Gradient Boosting Technique/004 Tutorial-on-XGBoost-Algorithm-with-Python.ipynb 437.7 kB
  • ~Get Your Files Here !/05 - Extreme Gradient Boosting Technique/005 Tutorial-on-XGBoost-Algorithm-with-Python.ipynb 437.7 kB
  • ~Get Your Files Here !/01 - Introduction/003 Introduction Me_en.vtt 52.1 kB
  • ~Get Your Files Here !/04 - AddaBoost Machine Learning Algorithm/002 Tutorial-on-AdaBoost-In-details-with-Python.ipynb 50.7 kB
  • ~Get Your Files Here !/05 - Extreme Gradient Boosting Technique/004 XG Boost-Hands On Tutorial-Part 2_en.vtt 24.3 kB
[磁力链接] 添加时间:2024-01-06 大小:2.7 GB 最近下载:2025-10-20 热度:984

[FreeTutorials.Us] deep-reinforcement-learning-in-python

  • 01 Introduction and Logistics/001 Introduction and Outline.mp4 16.6 MB
  • 01 Introduction and Logistics/002 Where to get the Code.mp4 5.4 MB
  • 01 Introduction and Logistics/003 How to Succeed in this Course.mp4 15.1 MB
  • 02 Background Review/004 Review Intro.mp4 4.4 MB
  • 02 Background Review/005 Review of Markov Decision Processes.mp4 12.8 MB
  • 02 Background Review/006 Review of Dynamic Programming.mp4 6.8 MB
  • 02 Background Review/007 Review of Monte Carlo Methods.mp4 6.5 MB
  • 02 Background Review/008 Review of Temporal Difference Learning.mp4 7.5 MB
  • 02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp4 3.8 MB
  • 02 Background Review/010 Review of Deep Learning.mp4 11.6 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/011 OpenAI Gym Tutorial.mp4 9.1 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/012 Random Search.mp4 10.8 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Saving a Video.mp4 4.8 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp4 6.3 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp4 15.4 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp4 17.3 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Networks with Mountain Car Code.mp4 14.4 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/018 RBF Networks with CartPole Theory.mp4 3.2 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/019 RBF Networks with CartPole Code.mp4 9.3 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/020 Theano Warmup.mp4 6.1 MB
[磁力链接] 添加时间:2017-08-18 大小:547.6 MB 最近下载:2025-09-15 热度:978

[ FreeCourseWeb.com ] Practical Machine Learning by Example in Python.zip

  • [ FreeCourseWeb.com ] Practical Machine Learning by Example in Python.zip 2.7 GB
[磁力链接] 添加时间:2021-06-13 大小:2.7 GB 最近下载:2025-10-26 热度:978

[Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning in Python

  • 10/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.4 MB
  • 11. 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 82.1 MB
  • 2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
  • 5. Dynamic Programming/4. Iterative Policy Evaluation in Code.mp4 71.8 MB
  • 9. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4 68.5 MB
  • 1. Welcome/5. Warmup.mp4 65.7 MB
  • 4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
  • 5. Dynamic Programming/9. Policy Iteration in Code.mp4 59.1 MB
  • 4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
  • 2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
  • 2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 58.2 MB
  • 3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
  • 4. Markov Decision Proccesses/2. Gridworld.mp4 56.6 MB
  • 9. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4 54.5 MB
  • 2. Return of the Multi-Armed Bandit/1. Section Introduction The Explore-Exploit Dilemma.mp4 54.5 MB
  • 5. Dynamic Programming/10. Policy Iteration in Windy Gridworld.mp4 53.9 MB
  • 2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
  • 2. Return of the Multi-Armed Bandit/24. (Optional) Alternative Bandit Designs.mp4 52.8 MB
  • 9. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4 52.1 MB
[磁力链接] 添加时间:2022-01-22 大小:3.3 GB 最近下载:2025-08-12 热度:972

[DesireCourse.Net] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4 164.3 MB
  • 26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp4 99.2 MB
  • 26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp4 98.7 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp4 72.6 MB
  • 25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
  • 26. Neural Nets and Deep Learning/6. MNIST - Part One.mp4 61.2 MB
  • 25. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 58.4 MB
  • 18. K Nearest Neighbors/4. KNN Project Solutions.mp4 55.2 MB
  • 1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip.zip 55.0 MB
  • 2. Environment Set-Up/1.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
  • 3. Jupyter Overview/2.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
  • 9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp4 53.9 MB
  • 11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp4 53.6 MB
  • 13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp4 52.2 MB
  • 24. Natural Language Processing/6. NLP Project Solutions.mp4 50.4 MB
  • 20. Support Vector Machines/2. Support Vector Machines with Python.mp4 49.8 MB
  • 13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp4 49.6 MB
  • 21. K Means Clustering/4. K Means Project Solutions.mp4 49.4 MB
[磁力链接] 添加时间:2021-03-14 大小:4.1 GB 最近下载:2025-10-27 热度:969

[ FreeCourseWeb.com ] Python Bootcamp - Hands-on Python Learning (8 - 2020).zip

  • [ FreeCourseWeb.com ] Python Bootcamp - Hands-on Python Learning (8 - 2020).zip 2.2 GB
[磁力链接] 添加时间:2022-03-12 大小:2.2 GB 最近下载:2025-09-14 热度:966

[FreeTutorials.Us] cluster-analysis-unsupervised-machine-learning-python

  • 01 Introduction to Unsupervised Learning/001 Introduction and Outline.mp4 4.3 MB
  • 01 Introduction to Unsupervised Learning/002 What is unsupervised learning used for.mp4 7.9 MB
  • 01 Introduction to Unsupervised Learning/003 Why Use Clustering.mp4 7.0 MB
  • 01 Introduction to Unsupervised Learning/004 How to Succeed in this Course.mp4 9.2 MB
  • 02 K-Means Clustering/005 Visual Walkthrough of the K-Means Clustering Algorithm.mp4 5.1 MB
  • 02 K-Means Clustering/006 Soft K-Means.mp4 4.4 MB
  • 02 K-Means Clustering/007 The K-Means Objective Function.mp4 3.2 MB
  • 02 K-Means Clustering/008 Soft K-Means in Python Code.mp4 31.7 MB
  • 02 K-Means Clustering/009 Visualizing Each Step of K-Means.mp4 5.5 MB
  • 02 K-Means Clustering/010 Examples of where K-Means can fail.mp4 17.8 MB
  • 02 K-Means Clustering/011 Disadvantages of K-Means Clustering.mp4 4.1 MB
  • 02 K-Means Clustering/012 How to Evaluate a Clustering Purity Davies-Bouldin Index.mp4 11.9 MB
  • 02 K-Means Clustering/013 Using K-Means on Real Data MNIST.mp4 11.2 MB
  • 02 K-Means Clustering/014 One Way to Choose K.mp4 9.5 MB
  • 02 K-Means Clustering/015 K-Means Application Finding Clusters of Related Words.mp4 27.2 MB
  • 03 Hierarchical Clustering/016 Visual Walkthrough of Agglomerative Hierarchical Clustering.mp4 4.6 MB
  • 03 Hierarchical Clustering/017 Agglomerative Clustering Options.mp4 6.5 MB
  • 03 Hierarchical Clustering/018 Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 12.4 MB
  • 04 Gaussian Mixture Models GMMs/019 Description of the Gaussian Mixture Model and How to Train a GMM.mp4 5.5 MB
  • 04 Gaussian Mixture Models GMMs/020 Comparison between GMM and K-Means.mp4 3.1 MB
[磁力链接] 添加时间:2017-08-18 大小:325.9 MB 最近下载:2025-02-10 热度:963

PacktPub - Master Deep Learning with TensorFlow 2.0 in Python [2019] [Video]

  • 01.Welcome! Course introduction/0101.Meet your instructors and why you should study machine learning.mp4 88.9 MB
  • 06.Going deeper Introduction to deep neural networks/0603.Understanding deep nets in depth.mp4 61.0 MB
  • 02.Introduction to neural networks/0212.N-parameter gradient descent.mp4 60.4 MB
  • 02.Introduction to neural networks/0211.One parameter gradient descent.mp4 59.1 MB
  • 06.Going deeper Introduction to deep neural networks/0607.Backpropagation.mp4 55.3 MB
  • 03.Setting up the working environment/0306.Installing TensorFlow 2.mp4 53.7 MB
  • 02.Introduction to neural networks/0201.Introduction to neural networks.mp4 48.0 MB
  • 12.Business case/1204.Preprocessing the data.mp4 46.7 MB
  • 02.Introduction to neural networks/0206.The linear model. Multiple inputs and multiple outputs.mp4 44.3 MB
  • 05.TensorFlow - An introduction/0501.TensorFlow outline.mp4 44.0 MB
  • 02.Introduction to neural networks/0203.Types of machine learning.mp4 42.8 MB
  • 10.Preprocessing/1003.Standardization.mp4 42.3 MB
  • 13.Conclusion/1305.An overview of non-NN approaches.mp4 42.1 MB
  • 01.Welcome! Course introduction/0102.What does the course cover.mp4 41.0 MB
  • 13.Conclusion/1301.See how much you have learned.mp4 40.8 MB
  • 06.Going deeper Introduction to deep neural networks/0604.Why do we need non-linearities.mp4 39.8 MB
  • 06.Going deeper Introduction to deep neural networks/0605.Activation functions.mp4 39.8 MB
  • 05.TensorFlow - An introduction/0502.TensorFlow 2 intro.mp4 39.7 MB
  • 07.Overfitting/0703.Training and validation.mp4 39.3 MB
  • 09.Gradient descent and learning rates/0904.Learning rate schedules.mp4 38.9 MB
[磁力链接] 添加时间:2025-01-08 大小:2.5 GB 最近下载:2025-10-27 热度:963


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