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IA Expert - TensorFlow Machine Learning e Deep Learning com Python

  • 21 Gerac227o automatica de caracteres/102 Construc227o da GAN - MNIST IV.mp4 152.5 MB
  • 12 Classificac227o de digitos escritos a m227o/073 Redes convolucionais com estimators V.mp4 148.6 MB
  • 09 Redes neurais para classificac227o e regress227o com TensorFlow/051 Classificac227o multiclasse - base iris II.mp4 144.3 MB
  • 06 Classificac227o/031 Regress227o logistica com estimators I.mp4 144.0 MB
  • 15 Serie temporal - precos da bolsa de valores/081 Base de dados para redes recorrentes II.mp4 142.9 MB
  • 21 Gerac227o automatica de caracteres/101 Construc227o da GAN - MNIST III.mp4 138.2 MB
  • 15 Serie temporal - precos da bolsa de valores/080 Base de dados para redes recorrentes I.mp4 127.0 MB
  • 09 Redes neurais para classificac227o e regress227o com TensorFlow/050 Classificac227o multiclasse - base iris I.mp4 121.6 MB
  • 22 Ap234ndice A - Basico sobre aprendizagem de maquina/107 Introduc227o a avaliac227o de algoritmos.mp4 118.3 MB
  • 15 Serie temporal - precos da bolsa de valores/083 Redes neurais recorrentes II.mp4 117.2 MB
  • 08 Teoria resumida sobre redes neurais artificiais/043 TensorFlow playground.mp4 113.6 MB
  • 21 Gerac227o automatica de caracteres/100 Construc227o da GAN - MNIST II.mp4 113.2 MB
  • 09 Redes neurais para classificac227o e regress227o com TensorFlow/055 Classificac227o de digitos manuscritos III.mp4 112.7 MB
  • 12 Classificac227o de digitos escritos a m227o/072 Redes convolucionais com estimators IV.mp4 112.6 MB
  • 18 Reduc227o de dimensionalidade/094 Stacked autoencoder - MNIST III.mp4 111.7 MB
  • 09 Redes neurais para classificac227o e regress227o com TensorFlow/048 Classificac227o binaria - XOR II.mp4 111.7 MB
  • 05 Regress227o linear/025 Regress227o linear simples com estimators II.mp4 110.6 MB
  • 05 Regress227o linear/027 Regress227o linear multipla com estimators II.mp4 109.3 MB
  • 21 Gerac227o automatica de caracteres/099 Construc227o da GAN - MNIST I.mp4 107.4 MB
  • 22 Ap234ndice A - Basico sobre aprendizagem de maquina/108 Introduc227o a redes neurais artificiais I.mp4 106.7 MB
[磁力链接] 添加时间:2022-01-09 大小:7.6 GB 最近下载:2025-10-26 热度:722

[FreeCourseSite.com] Udemy - 2022 Python for Machine Learning & Data Science Masterclass

  • 23 - Hierarchical Clustering/004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4 219.4 MB
  • 05 - Pandas/028 Pandas Project Exercise Solutions.mp4 180.9 MB
  • 13 - Logistic Regression/016 Logistic Regression Project Exercise - Solutions.mp4 169.1 MB
  • 08 - Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three.mp4 144.1 MB
  • 17 - Random Forests/007 Coding Classification with Random Forest Classifier - Part Two.mp4 136.7 MB
  • 19 - Supervised Learning Capstone Project/003 Solution Walkthrough - Supervised Learning Project - Cohort Analysis.mp4 136.5 MB
  • 05 - Pandas/026 Pandas Pivot Tables.mp4 135.4 MB
  • 24 - DBSCAN - Density-based spatial clustering of applications with noise/007 DBSCAN - Outlier Project Exercise Solutions.mp4 134.1 MB
  • 25 - PCA - Principal Component Analysis and Manifold Learning/007 PCA - Project Exercise Solution.mp4 125.3 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 121.4 MB
  • 23 - Hierarchical Clustering/003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4 120.6 MB
  • 19 - Supervised Learning Capstone Project/004 Solution Walkthrough - Supervised Learning Project - Tree Models.mp4 119.8 MB
  • 07 - Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4 116.7 MB
  • 08 - Data Analysis and Visualization Capstone Project Exercise/002 Capstone Project Solutions - Part One.mp4 116.0 MB
  • 26 - Model Deployment/003 Model Persistence.mp4 115.1 MB
  • 24 - DBSCAN - Density-based spatial clustering of applications with noise/002 DBSCAN - Theory and Intuition.mp4 114.4 MB
  • 22 - K-Means Clustering/011 K-Means Clustering Exercise Solution - Part Two.mp4 113.5 MB
  • 08 - Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4 111.3 MB
  • 19 - Supervised Learning Capstone Project/002 Solution Walkthrough - Supervised Learning Project - Data and EDA.mp4 111.3 MB
[磁力链接] 添加时间:2024-03-01 大小:12.3 GB 最近下载:2025-10-26 热度:1658

[ DevCourseWeb.com ] Deep Learning for Beginners - A beginner's guide to getting up and running with deep learning from scratch using Python.zip

  • [ DevCourseWeb.com ] Deep Learning for Beginners - A beginner's guide to getting up and running with deep learning from scratch using Python.zip 238.4 MB
[磁力链接] 添加时间:2022-01-18 大小:238.4 MB 最近下载:2025-10-26 热度:1444

[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

Learning Path Python for Data Analytics

  • O'Reilly - Learning Path Python for Data Analytics.iso 1.8 GB
  • More info.txt 287 Bytes
[磁力链接] 添加时间:2017-02-11 大小:1.8 GB 最近下载:2025-10-26 热度:491

Master Deep Learning with TensorFlow in Python

  • Master Deep Learning with TensorFlow in Python.zip 1.4 GB
  • Download more courses.url 123 Bytes
  • Downloaded from TutsGalaxy.com.txt 73 Bytes
  • TutsGalaxy.com.txt 52 Bytes
[磁力链接] 添加时间:2021-03-08 大小:1.4 GB 最近下载:2025-10-26 热度:6166

Python Machine Learning in 7 Days [Video]

  • 5.Finding Patterns and Structures in Unlabeled Data/25.Review of Getting Better Test Sample Results by Measuring Model Performance.mp4 23.5 MB
  • 1.Enter the Machine Learning World!/02.Setting Up Your Machine Learning Environment.mp4 21.6 MB
  • 1.Enter the Machine Learning World!/03.Exploring Types of Machine Learning.mp4 6.5 MB
  • 1.Enter the Machine Learning World!/04.Using Scikit-learn for Machine Learning.mp4 14.8 MB
  • 1.Enter the Machine Learning World!/05.Assignment – Train Your First Pre-built Machine Learning Model.mp4 2.4 MB
  • 2.Build Your First Predicting Model/06.Supervised Learning Algorithm.mp4 4.1 MB
  • 2.Build Your First Predicting Model/07.Architecture of a Machine Learning System.mp4 6.2 MB
  • 2.Build Your First Predicting Model/08.Machine Learning Model and Its Components.mp4 7.1 MB
  • 2.Build Your First Predicting Model/09.Linear Regression.mp4 3.5 MB
  • 2.Build Your First Predicting Model/10.Predicting Weight Using Linear Regression.mp4 17.3 MB
  • 2.Build Your First Predicting Model/11.Assignment – Predicting Energy Output of a Power Plant.mp4 3.4 MB
  • 3.Image Classification Using Supervised Learning/12.Review of Predicting Energy Output of a Power Plant.mp4 20.7 MB
  • 3.Image Classification Using Supervised Learning/13.Logistic Regression.mp4 9.5 MB
  • 3.Image Classification Using Supervised Learning/14.Classifying Images Using Logistic Regression.mp4 12.9 MB
  • 3.Image Classification Using Supervised Learning/15.Support Vector Machines.mp4 3.3 MB
  • 3.Image Classification Using Supervised Learning/16.Kernels in a SVM.mp4 2.2 MB
  • 3.Image Classification Using Supervised Learning/17.Classifying Images Using Support Vector Machines.mp4 11.1 MB
  • 3.Image Classification Using Supervised Learning/18.Assignment – Start Image Classifying Using Support Vector Machines.mp4 6.1 MB
  • 4.Improving Model Accuracy/19.Review of Classifying Images Using Support Vector Machines.mp4 17.2 MB
  • 4.Improving Model Accuracy/20.Model Evaluation.mp4 5.3 MB
[磁力链接] 添加时间:2018-07-25 大小:338.5 MB 最近下载:2025-10-26 热度:2921

[ FreeCourseWeb.com ] Learn Python by Building Data Science Applications- A fun, project-based guide to learning Python 3 (True PDF, EPUB,MOBI).zip

  • [ FreeCourseWeb.com ] Learn Python by Building Data Science Applications- A fun, project-based guide to learning Python 3 (True PDF, EPUB,MOBI).zip 270.6 MB
[磁力链接] 添加时间:2021-04-05 大小:270.6 MB 最近下载:2025-10-26 热度:1978

[FreeCourseSite.com] Udemy - Python for Computer Vision with OpenCV and Deep Learning

  • 1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip.zip 321.0 MB
  • 4. Image Processing/7. Blurring and Smoothing - Part Two.mp4 247.3 MB
  • 6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4 186.0 MB
  • 8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4 175.0 MB
  • 4. Image Processing/5. Image Thresholding.mp4 145.0 MB
  • 8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4 144.4 MB
  • 3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4 133.1 MB
  • 6. Object Detection with OpenCV and Python/2. Template Matching.mp4 122.3 MB
  • 6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4 122.3 MB
  • 4. Image Processing/9. Gradients.mp4 118.9 MB
  • 8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4 118.8 MB
  • 7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4 116.8 MB
  • 6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4 114.5 MB
  • 6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4 109.4 MB
  • 6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp4 104.8 MB
  • 5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp4 102.7 MB
  • 8. Deep Learning for Computer Vision/9. Keras Basics.mp4 102.5 MB
  • 3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp4 102.0 MB
  • 4. Image Processing/8. Morphological Operators.mp4 101.5 MB
  • 7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp4 100.9 MB
[磁力链接] 添加时间:2021-03-11 大小:6.1 GB 最近下载:2025-10-26 热度:5146

Udemy - Deep Learning with Python

  • 01 Head First into Deep Learning/004 Deep Learning Hello World Classifying the MNIST Data.mp4 23.8 MB
  • 01 Head First into Deep Learning/001 The Course Overview.mp4 14.3 MB
  • 01 Head First into Deep Learning/003 Open Source Libraries for Deep Learning.mp4 19.1 MB
  • 01 Head First into Deep Learning/002 What Is Deep Learning.mp4 7.6 MB
  • 04 Solving Cats Versus Dogs/001 Large Scale Datasets, ImageNet, and Very Deep Neural Networks.mp4 14.3 MB
  • 04 Solving Cats Versus Dogs/002 Loading Pre-trained Models with Theano.mp4 18.2 MB
  • 04 Solving Cats Versus Dogs/003 Reusing Pre-trained Models in New Applications.mp4 27.4 MB
  • 02 Backpropagation and Theano for the Rescue/002 Understanding Deep Learning with Theano.mp4 15.2 MB
  • 02 Backpropagation and Theano for the Rescue/001 Introduction to Backpropagation.mp4 9.8 MB
  • 02 Backpropagation and Theano for the Rescue/003 Optimizing a Simple Model in Pure Theano.mp4 20.3 MB
  • 06 Bonus Challenge and TensorFlow/001 Bonus Challenge Automatic Image Captioning.mp4 20.5 MB
  • 06 Bonus Challenge and TensorFlow/002 Captioning TensorFlow Googles Machine Learning Library.mp4 19.6 MB
  • 05 for Loops and Recurrent Neural Networks in Theano/002 Recurrent Layers.mp4 19.4 MB
  • 05 for Loops and Recurrent Neural Networks in Theano/001 Theano for Loops the scan Module.mp4 12.7 MB
  • 05 for Loops and Recurrent Neural Networks in Theano/003 Recurrent Versus Convolutional Layers.mp4 6.9 MB
  • 05 for Loops and Recurrent Neural Networks in Theano/004 Recurrent Networks Training a Sentiment Analysis Model for Text.mp4 21.7 MB
  • 03 Keras Making Theano Even Easier to Use/003 Convolutional and Pooling Layers.mp4 15.1 MB
  • 03 Keras Making Theano Even Easier to Use/001 Keras Behind the Scenes.mp4 20.6 MB
  • 03 Keras Making Theano Even Easier to Use/002 Fully Connected or Dense Layers.mp4 18.7 MB
[磁力链接] 添加时间:2017-02-09 大小:325.2 MB 最近下载:2025-10-26 热度:4992

[ CourseHulu.com ] Machine Learning with Python - Practical Application

  • ~Get Your Files Here !/Exercise Files/07/understanding-other-types-of-ml-problems-slides.pdf 32.6 MB
  • ~Get Your Files Here !/02. Getting Your Hands Dirty with Machine Learning/03. Getting ML Technical.mp4 31.1 MB
  • ~Get Your Files Here !/02. Getting Your Hands Dirty with Machine Learning/02. The Right ML Tool for the Job.mp4 29.2 MB
  • ~Get Your Files Here !/07. Understanding Other Types of ML Problems/35. Final Takeaway.mp4 26.1 MB
  • ~Get Your Files Here !/03. Regression/07. Introduction to Regression Algorithms.mp4 24.4 MB
  • ~Get Your Files Here !/04. Classification/14. Classification Algorithms.mp4 20.3 MB
  • ~Get Your Files Here !/05. Dimensionality Reduction/23. Dimensionality Reduction.mp4 19.7 MB
  • ~Get Your Files Here !/02. Getting Your Hands Dirty with Machine Learning/04. Learning Styles and Algorithm Types.mp4 19.5 MB
  • ~Get Your Files Here !/06. Clustering/28. Clustering Algorithms.mp4 18.4 MB
  • ~Get Your Files Here !/04. Classification/15. Logistic Regression.mp4 16.9 MB
  • ~Get Your Files Here !/04. Classification/20. Neural Networks.mp4 16.2 MB
  • ~Get Your Files Here !/Exercise Files/03/regression-slides.pdf 15.9 MB
  • ~Get Your Files Here !/02. Getting Your Hands Dirty with Machine Learning/05. Platforms and Libraries.mp4 14.6 MB
  • ~Get Your Files Here !/04. Classification/16. Naive Bayes.mp4 13.6 MB
  • ~Get Your Files Here !/Exercise Files/05/dimensionality-reduction-slides.pdf 13.1 MB
  • ~Get Your Files Here !/04. Classification/21. Convolutional Neural Networks.mp4 12.7 MB
  • ~Get Your Files Here !/07. Understanding Other Types of ML Problems/34. Other Types of Machine Learning Algorithms.mp4 12.4 MB
  • ~Get Your Files Here !/03. Regression/08. Linear Regression.mp4 12.0 MB
  • ~Get Your Files Here !/04. Classification/19. Decision Trees and Random Forests.mp4 11.7 MB
  • ~Get Your Files Here !/06. Clustering/29. K Means.mp4 10.5 MB
[磁力链接] 添加时间:2022-03-30 大小:485.4 MB 最近下载:2025-10-25 热度:1353

[GigaCourse.com] Udemy - Deep Learning Convolutional Neural Networks in Python

  • 8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
  • 2. Convolution/1. Real-Life Examples of Convolution.mp4 86.2 MB
  • 5. Convolutional Neural Network in TensorFlow/2. TensorFlow - Full CNN and Test on SVHN.mp4 82.9 MB
  • 7. Project Facial Expression Recognition/5. Convolutional Net in Theano.mp4 54.2 MB
  • 7. Project Facial Expression Recognition/6. Convolutional Net in TensorFlow.mp4 50.0 MB
  • 8. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.mp4 41.3 MB
  • 8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 8. Appendix/12. What order should I take your courses in (part 2).mp4 39.4 MB
  • 2. Convolution/2. Beginner's Guide to Convolution.mp4 36.0 MB
  • 8. Appendix/11. What order should I take your courses in (part 1).mp4 30.8 MB
  • 8. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
  • 3. Convolutional Neural Network Description/7. LeNet - How the Shapes Go Together.mp4 22.7 MB
  • 7. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
  • 6. Practical Tips/2. Advanced CNNs and how to Design your Own.mp4 20.5 MB
  • 1. Outline and Review/5. Tensorflow or Theano - Your Choice!.mp4 19.8 MB
  • 2. Convolution/7. Write Convolution Yourself.mp4 19.2 MB
  • 8. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
  • 8. Appendix/10. Is Theano Dead.mp4 18.7 MB
  • 8. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
[磁力链接] 添加时间:2021-05-04 大小:1.1 GB 最近下载:2025-10-25 热度:1572

[UdemyCourseDownloader] Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 12 Logistic Regression/096 Logistic Regression in R - Step 5.mp4 98.3 MB
  • 31 Artificial Neural Networks/225 ANN in Python - Step 2.mp4 89.0 MB
  • 17 Decision Tree Classification/123 Decision Tree Classification in R.mp4 71.5 MB
  • 14 Support Vector Machine (SVM)/105 SVM in R.mp4 68.5 MB
  • 18 Random Forest Classification/127 Random Forest Classification in R.mp4 67.2 MB
  • 32 Convolutional Neural Networks/256 CNN in Python - Step 9.mp4 65.4 MB
  • 18 Random Forest Classification/126 Random Forest Classification in Python.mp4 65.1 MB
  • 07 Support Vector Regression (SVR)/068 SVR in Python.mp4 63.1 MB
  • 05 Multiple Linear Regression/045 Multiple Linear Regression in Python - Backward Elimination - HOMEWORK.mp4 62.0 MB
  • 27 Upper Confidence Bound (UCB)/178 Upper Confidence Bound in R - Step 3.mp4 60.6 MB
  • 36 Kernel PCA/274 Kernel PCA in R.mp4 59.3 MB
  • 24 Apriori/161 Apriori in R - Step 3.mp4 59.3 MB
  • 08 Decision Tree Regression/073 Decision Tree Regression in R.mp4 59.0 MB
  • 13 K-Nearest Neighbors (K-NN)/101 K-NN in R.mp4 58.5 MB
  • 28 Thompson Sampling/183 Thompson Sampling in Python - Step 1.mp4 58.2 MB
  • 15 Kernel SVM/111 Kernel SVM in Python.mp4 57.5 MB
  • 06 Polynomial Regression/063 Polynomial Regression in R - Step 3.mp4 57.5 MB
  • 06 Polynomial Regression/058 Polynomial Regression in Python - Step 3.mp4 57.1 MB
  • 05 Multiple Linear Regression/046 Multiple Linear Regression in Python - Backward Elimination - Homework Solution.mp4 56.9 MB
  • 29 -------------------- Part 7 Natural Language Processing --------------------/210 Natural Language Processing in R - Step 10.mp4 56.8 MB
[磁力链接] 添加时间:2022-01-09 大小:7.3 GB 最近下载:2025-10-25 热度:770

[DesireCourse.Net] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python

  • 5. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
  • 5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 5. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 5. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 5. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
  • 3. Hierarchical Clustering/5. Application Donald Trump vs. Hillary Clinton Tweets.mp4 37.0 MB
  • 2. K-Means Clustering/5. Soft K-Means in Python Code.mp4 31.7 MB
  • 4. Gaussian Mixture Models (GMMs)/3. Write a Gaussian Mixture Model in Python Code.mp4 31.6 MB
  • 5. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
  • 3. Hierarchical Clustering/4. Application Evolution.mp4 27.7 MB
  • 2. K-Means Clustering/12. K-Means Application Finding Clusters of Related Words.mp4 27.2 MB
  • 2. K-Means Clustering/3. Soft K-Means.mp4 26.5 MB
  • 5. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
  • 5. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
  • 2. K-Means Clustering/7. Examples of where K-Means can fail.mp4 17.8 MB
  • 5. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
  • 2. K-Means Clustering/1. An Easy Introduction to K-Means Clustering.mp4 13.2 MB
  • 3. Hierarchical Clustering/3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 12.4 MB
  • 2. K-Means Clustering/9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4 11.9 MB
[磁力链接] 添加时间:2022-01-18 大小:924.3 MB 最近下载:2025-10-25 热度:861

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:2021-03-15 大小:3.1 GB 最近下载:2025-10-25 热度:11525

[DesireCourse.Com] Udemy - Advanced AI Deep Reinforcement Learning in Python

  • [DesireCourse.Com] Udemy - Advanced AI Deep Reinforcement Learning in Python.zip 404.0 MB
  • [DesireCourse.Com].txt 828 Bytes
  • [DesireCourse.Com].url 51 Bytes
[磁力链接] 添加时间:2018-09-14 大小:404.0 MB 最近下载:2025-10-25 热度:3788

[ FreeCourseWeb.com ] The complete Machine Learning Data Science Course in Python (Updated).zip

  • [ FreeCourseWeb.com ] The complete Machine Learning Data Science Course in Python (Updated).zip 4.7 GB
[磁力链接] 添加时间:2022-03-15 大小:4.7 GB 最近下载:2025-10-25 热度:417

[Udemy] Python for Data Science & Machine Learning from A-Z (01.2021)

  • 19. PCA/7. PCA - Image Compression.mp4 262.1 MB
  • 16. Ensemble Learning and Random Forests/6. Implementing Random Forests from scratch Part 1.mp4 212.4 MB
  • 15. Decision Trees/7. ID3 - Putting Everything Together.mp4 191.3 MB
  • 14. K Nearest Neighbors/3. EDA on Iris Dataset.mp4 169.7 MB
  • 15. Decision Trees/3. What is Entropy and Information Gain.mp4 142.7 MB
  • 19. PCA/9. PCA - Biplot and the Screen Plot.mp4 142.2 MB
  • 1. Introduction/6. How To Get a Data Science Job.mp4 137.6 MB
  • 1. Introduction/5. What is a Data Scientist.mp4 133.7 MB
  • 17. Support Vector Machines/6. SVM - Kernel Types.mp4 132.5 MB
  • 15. Decision Trees/2. EDA on Adult Dataset.mp4 129.2 MB
  • 15. Decision Trees/8. Evaluating our ID3 implementation.mp4 127.9 MB
  • 19. PCA/8. PCA Data Preprocessing.mp4 126.3 MB
  • 15. Decision Trees/13. Pruning.mp4 118.5 MB
  • 17. Support Vector Machines/8. SVM with Non-linear Dataset.mp4 117.0 MB
  • 13. Linear and Logistic Regression/3. Linear Regression + Correlation Methods.mp4 115.7 MB
  • 18. K-means/3. Representing Clusters.mp4 114.9 MB
  • 3. Python For Data Science/15. Python Dictionaries.mp4 109.2 MB
  • 17. Support Vector Machines/7. SVM with Linear Dataset (Iris).mp4 106.5 MB
  • 18. K-means/1. Unsupervised Machine Learning Intro.mp4 105.8 MB
  • 9. Machine Learning/1. Introduction To Machine Learning.mp4 103.5 MB
[磁力链接] 添加时间:2022-01-10 大小:7.9 GB 最近下载:2025-10-25 热度:3399

[FTUForum.com] [UDEMY] Python Machine Learning Basics Shallow Learning Algorithms [FTU]

  • 2. Machine Learning Framework/4. MI Python skeleton.mp4 61.5 MB
  • 3. SVD/1. SVD implementation.mp4 55.6 MB
  • 5. Going Live/3. Surpriselib and Flask.mp4 50.9 MB
  • 2. Machine Learning Framework/1. Scikit Surprise.mp4 40.4 MB
  • 4. KNN/1. KNN implementation.mp4 39.5 MB
  • 3. SVD/2. SVD Theory.mp4 38.8 MB
  • 5. Going Live/1. Display KNN neighbors.mp4 33.2 MB
  • 1. Introduction/1. What is Machine Learning.mp4 30.1 MB
  • 4. KNN/2. Knn theory.mp4 23.7 MB
  • 5. Going Live/2. Display SVD Item Predictions.mp4 23.7 MB
  • 2. Machine Learning Framework/2. Evaluation.mp4 22.6 MB
  • 4. KNN/3. User vs Item.mp4 19.5 MB
  • 1. Introduction/2. Shallow vs Deep learning.mp4 13.9 MB
  • 1. Introduction/3. Theory vs Practice.mp4 12.0 MB
  • 2. Machine Learning Framework/3. Install Python 3.5+.mp4 7.7 MB
  • 2. Machine Learning Framework/4. MI Python skeleton.vtt 9.1 kB
  • 2. Machine Learning Framework/2. Evaluation.vtt 8.1 kB
  • 3. SVD/1. SVD implementation.vtt 7.0 kB
  • 5. Going Live/3. Surpriselib and Flask.vtt 6.3 kB
  • 1. Introduction/1. What is Machine Learning.vtt 5.9 kB
[磁力链接] 添加时间:2021-03-09 大小:473.2 MB 最近下载:2025-10-25 热度:890

[ FreeCourseWeb.com ] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (Updated 2-2020).zip

  • [ FreeCourseWeb.com ] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (Updated 2-2020).zip 773.2 MB
[磁力链接] 添加时间:2021-04-23 大小:773.2 MB 最近下载:2025-10-25 热度:1435


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