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[GigaCourse.com] Udemy - Artificial Intelligence Reinforcement Learning in Python

  • 11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4 108.8 MB
  • 5. Markov Decision Proccesses/7. Bellman Examples.mp4 91.3 MB
  • 11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 10. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4 68.5 MB
  • 3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
  • 10. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4 54.5 MB
  • 2. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4 54.4 MB
  • 2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
  • 10. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4 52.1 MB
  • 10. Stock Trading Project with Reinforcement Learning/8. Code pt 4.mp4 51.5 MB
  • 10. Stock Trading Project with Reinforcement Learning/3. How to Model Q for Q-Learning.mp4 47.1 MB
  • 11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 3. High Level Overview of Reinforcement Learning/3. Defining Some Terms.mp4 44.4 MB
  • 11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.7 MB
  • 11. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
  • 3. High Level Overview of Reinforcement Learning/2. On Unusual or Unexpected Strategies of RL.mp4 38.9 MB
  • 1. Welcome/1. Introduction.mp4 35.9 MB
  • 2. Return of the Multi-Armed Bandit/12. Bandit Summary, Real Data, and Online Learning.mp4 35.6 MB
[磁力链接] 添加时间:2021-04-13 大小:2.0 GB 最近下载:2025-10-26 热度:1512

[ DevCourseWeb.com ] Udemy - Ensemble Machine Learning in Python - Adaboost, XGBoost.zip

  • [ DevCourseWeb.com ] Udemy - Ensemble Machine Learning in Python - Adaboost, XGBoost.zip 1.2 GB
[磁力链接] 添加时间:2021-05-03 大小:1.2 GB 最近下载:2025-10-26 热度:1178

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:2025-10-26 热度:1025

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

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

[ TutPig.com ] Udemy - Python for Bioinformatics-Self Learning Course

  • ~Get Your Files Here !/3. Text Manipulation & Printing/5. Substrings.mp4 122.5 MB
  • ~Get Your Files Here !/6. Conditional Test & Regular Expression/1. If Else.mp4 105.5 MB
  • ~Get Your Files Here !/6. Conditional Test & Regular Expression/2. Multiple If Else.mp4 104.5 MB
  • ~Get Your Files Here !/5. List & Loops/3. DifStrListForloop.mp4 103.1 MB
  • ~Get Your Files Here !/3. Text Manipulation & Printing/4. Methods.mp4 94.4 MB
  • ~Get Your Files Here !/4. Read & Write Files/3. Read Write Explained.mp4 92.0 MB
  • ~Get Your Files Here !/1. Introduction to Python for Bio informatics/1. Intro & What will you learn in this course.mp4 86.4 MB
  • ~Get Your Files Here !/2. Python Fundamentals/3. Variables.mp4 85.1 MB
  • ~Get Your Files Here !/4. Read & Write Files/2. Open Read.mp4 83.6 MB
  • ~Get Your Files Here !/5. List & Loops/6. Own function.mp4 82.2 MB
  • ~Get Your Files Here !/6. Conditional Test & Regular Expression/3. While loop.mp4 76.3 MB
  • ~Get Your Files Here !/5. List & Loops/2. List Method.mp4 72.5 MB
  • ~Get Your Files Here !/5. List & Loops/5. Dictionaries.mp4 69.9 MB
  • ~Get Your Files Here !/6. Conditional Test & Regular Expression/4. Regular Expression.mp4 69.2 MB
  • ~Get Your Files Here !/5. List & Loops/4. For Loop Implement.mp4 68.8 MB
  • ~Get Your Files Here !/2. Python Fundamentals/1. Session1 Object Oriented Programming.mp4 65.1 MB
  • ~Get Your Files Here !/4. Read & Write Files/1. Module Flowchart.mp4 54.9 MB
  • ~Get Your Files Here !/3. Text Manipulation & Printing/1. Print String.mp4 54.5 MB
  • ~Get Your Files Here !/5. List & Loops/1. Input List.mp4 47.9 MB
  • ~Get Your Files Here !/3. Text Manipulation & Printing/2. Variable Print.mp4 34.5 MB
[磁力链接] 添加时间:2022-01-14 大小:1.6 GB 最近下载:2025-10-26 热度:2051

Learn Python for Data Science & Machine Learning from AZ

  • [TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/19 - PCA/127 - PCA Image Compression.mp4 262.1 MB
  • [TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/16 - Ensemble Learning and Random Forests/100 - Implementing Random Forests from scratch Part 1.mp4 212.4 MB
  • [TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/15 - Decision Trees/85 - ID3 Putting Everything Together.mp4 191.3 MB
  • [TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/14 - K Nearest Neighbors/68 - EDA on Iris Dataset.mp4 169.7 MB
  • [TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/15 - Decision Trees/81 - What is Entropy and Information Gain.mp4 142.7 MB
  • [TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/19 - PCA/129 - PCA Biplot and the Screen Plot.mp4 142.2 MB
  • [TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/1 - Introduction/6 - How To Get a Data Science Job.mp4 137.6 MB
  • [TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/1 - Introduction/5 - What is a Data Scientist.mp4 133.6 MB
  • [TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/17 - Support Vector Machines/113 - SVM Kernel Types.mp4 132.5 MB
  • [TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/15 - Decision Trees/80 - EDA on Adult Dataset.mp4 129.2 MB
  • [TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/15 - Decision Trees/86 - Evaluating our ID3 implementation.mp4 127.9 MB
  • [TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/19 - PCA/128 - PCA Data Preprocessing.mp4 126.3 MB
  • [TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/15 - Decision Trees/91 - Pruning.mp4 118.5 MB
  • [TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/17 - Support Vector Machines/115 - SVM with Nonlinear Dataset.mp4 117.0 MB
  • [TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/13 - Linear and Logistic Regression/63 - Linear Regression Correlation Methods.mp4 115.7 MB
  • [TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/18 - Kmeans/120 - Data Standardization.mp4 114.9 MB
  • [TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/3 - Python For Data Science/28 - Python Dictionaries.mp4 109.2 MB
  • [TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/17 - Support Vector Machines/114 - SVM with Linear Dataset Iris.mp4 106.5 MB
  • [TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/18 - Kmeans/118 - Unsupervised Machine Learning Intro.mp4 105.8 MB
  • [TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/9 - Machine Learning/56 - Introduction To Machine Learning.mp4 103.5 MB
[磁力链接] 添加时间:2023-12-25 大小:8.0 GB 最近下载:2025-10-26 热度:4261

[ FreeCourseWeb.com ] Udemy - Machine Learning Crash Course for Beginners using Python.zip

  • [ FreeCourseWeb.com ] Udemy - Machine Learning Crash Course for Beginners using Python.zip 3.5 GB
[磁力链接] 添加时间:2021-03-17 大小:3.5 GB 最近下载:2025-10-26 热度:4147

Practical Transfer Learning (Deep Learning) in Python

  • [TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/8. (Optional)Full Demo - DOG CAT Classifier/1.2 train.zip 569.6 MB
  • [TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/1. Introduction/4. Becoming Poet Part 2.mp4 137.3 MB
  • [TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/8. (Optional)Full Demo - DOG CAT Classifier/1. Data Preparation-1.mp4 135.4 MB
  • [TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/7. (Optional ) 4 Classes Model (Cat , dog, horse, human)/2. Dataset Preparation for Custom Model.mp4 129.4 MB
  • [TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/5. Transfer Learning in Python/3. Dataset Preparation for Custom Model.mp4 129.4 MB
  • [TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/7. (Optional ) 4 Classes Model (Cat , dog, horse, human)/1. Checking against pre-trained model.mp4 111.3 MB
  • [TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/5. Transfer Learning in Python/2. Direct Use of Model.mp4 111.3 MB
  • [TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/6. Monkey Species Classification/5. Resnet Custom Model.mp4 99.0 MB
  • [TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/6. Monkey Species Classification/2. Existing Models Checking.mp4 94.3 MB
  • [TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/8. (Optional)Full Demo - DOG CAT Classifier/4. Basic CNN Model-1.mp4 91.7 MB
  • [TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/5. Transfer Learning in Python/4. Making of Custom Model - Last Layer change.mp4 86.2 MB
  • [TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/7. (Optional ) 4 Classes Model (Cat , dog, horse, human)/3. Custom Model.mp4 86.2 MB
  • [TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/6. Monkey Species Classification/3. Data Loading -1.mp4 86.1 MB
  • [TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/8. (Optional)Full Demo - DOG CAT Classifier/2. Image to Numpy Array.mp4 78.7 MB
  • [TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/1. Introduction/3. Becoming Poet Part 1.mp4 77.9 MB
  • [TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/6. Monkey Species Classification/6. Fitting Custom Resnet Model.mp4 77.1 MB
  • [TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/6. Monkey Species Classification/4. Data Loading One Hot Encoding.mp4 74.2 MB
  • [TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/3. Google Teachable Machine - Unlimited edge for Transfer Learning/9. Tensorflow.js Model Deployment with p5.mp4 69.3 MB
  • [TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/3. Google Teachable Machine - Unlimited edge for Transfer Learning/12. Android Deployment.mp4 62.6 MB
  • [TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/3. Google Teachable Machine - Unlimited edge for Transfer Learning/4. Audio Classification - Man in Black.mp4 57.5 MB
[磁力链接] 添加时间:2023-12-25 大小:3.2 GB 最近下载:2025-10-26 热度:5993

[GigaCourse.Com] Udemy - Beginner Machine Learning in Python + ChatGPT Bonus [2023]

  • 02 - Regression/008 Linear Regression Hands-On - Step 3.mp4 48.4 MB
  • 02 - Regression/010 Linear Regression Hands-On - Step 4.mp4 36.4 MB
  • 02 - Regression/007 Linear Regression Hands-On - Step 2.mp4 36.4 MB
  • 03 - Classification/009 Logistic Regression Hands-On - Step 5.mp4 31.3 MB
  • 04 - Clustering/011 K-Means Clustering - Step 5b.mp4 29.0 MB
  • 03 - Classification/002 Logistic Regression.mp4 25.9 MB
  • 02 - Regression/005 Assumptions of Linear Regression.mp4 25.8 MB
  • 02 - Regression/006 Linear Regression Hands-On - Step 1.mp4 25.6 MB
  • 03 - Classification/006 Logistic Regression Hands-On - Step 3.mp4 21.5 MB
  • 03 - Classification/004 Logistic Regression Hands-On - Step 1.mp4 21.4 MB
  • 01 - Introduction/005 A walk-through the course materials and Google Colab.mp4 20.9 MB
  • 04 - Clustering/007 K-Means Clustering - Step 3b.mp4 20.8 MB
  • 04 - Clustering/006 K-Means Clustering - Step 3a.mp4 19.4 MB
  • 03 - Classification/012 Logistic Regression Hands-On - Step 8a.mp4 19.3 MB
  • 04 - Clustering/010 K-Means Clustering - Step 5a.mp4 17.4 MB
  • 04 - Clustering/004 K-Means Clustering - Step 1.mp4 17.1 MB
  • 03 - Classification/014 Confusion Matrix and Accuracy.mp4 16.3 MB
  • 04 - Clustering/001 What is Clustering.mp4 16.2 MB
  • 03 - Classification/007 Logistic Regression Hands-On - Step 4.mp4 15.0 MB
  • 04 - Clustering/009 K-Means Clustering - Step 4.mp4 14.9 MB
[磁力链接] 添加时间:2024-03-19 大小:728.3 MB 最近下载:2025-10-26 热度:5525

[ FreeCourseWeb.com ] Oreilly - Data Science and Machine Learning Series- Using Python to Master the Concepts of Object Oriented Programming (OOP).zip

  • [ FreeCourseWeb.com ] Oreilly - Data Science and Machine Learning Series- Using Python to Master the Concepts of Object Oriented Programming (OOP).zip 358.6 MB
[磁力链接] 添加时间:2021-05-06 大小:358.6 MB 最近下载:2025-10-26 热度:2191

[GigaCourse.Com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python V2

  • 9 - Setting Up Your Environment FAQ by Student Request/45 - Anaconda Environment Setup.mp4 323.3 MB
  • 8 - Machine Learning Basics/36 - Classification in Code.mp4 217.9 MB
  • 9 - Setting Up Your Environment FAQ by Student Request/46 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 200.7 MB
  • 11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/50 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 142.4 MB
  • 11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/49 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 141.0 MB
  • 7 - Beginner Troubleshooting/33 - What if I dont meet the math prerequisites.mp4 121.2 MB
  • 10 - Extra Help With Python Coding for Beginners FAQ by Student Request/48 - Proof that using Jupyter Notebook is the same as not using it.mp4 113.3 MB
  • 2 - Numpy New/9 - Generating Data.mp4 90.7 MB
  • 8 - Machine Learning Basics/38 - Regression in Code.mp4 81.0 MB
  • 8 - Machine Learning Basics/35 - What is Classification.mp4 76.3 MB
  • 12 - Appendix FAQ Finale/51 - BONUS.mp4 63.8 MB
  • 1 - Welcome and Logistics/1 - Introduction and Outline.mp4 63.4 MB
  • 2 - Numpy New/4 - Arrays vs Lists.mp4 45.4 MB
  • 3 - Matplotlib New/19 - Where to Learn More Matplotlib.mp4 44.3 MB
  • 2 - Numpy New/12 - Suggestion Box.mp4 41.6 MB
  • 8 - Machine Learning Basics/39 - What is a Feature Vector.mp4 40.4 MB
  • 8 - Machine Learning Basics/42 - Comparing Different Machine Learning Models.mp4 40.4 MB
  • 2 - Numpy New/7 - Matrices.mp4 36.5 MB
  • 8 - Machine Learning Basics/37 - What is Regression.mp4 36.4 MB
  • 8 - Machine Learning Basics/34 - Machine Learning Section Introduction.mp4 35.7 MB
[磁力链接] 添加时间:2023-12-17 大小:2.4 GB 最近下载:2025-10-26 热度:2427

Udemy - Recommender Systems and Deep Learning in Python (5.2024)

  • 10 - Setting Up Your Environment FAQ by Student Request/82 - Anaconda Environment Setup.mp4 334.6 MB
  • 10 - Setting Up Your Environment FAQ by Student Request/83 - How to How to install Numpy Theano Tensorflow etc.mp4 201.0 MB
  • 3 - Collaborative Filtering/24 - UserUser Collaborative Filtering in Code.mp4 183.4 MB
  • 7 - Big Data Matrix Factorization with Spark Cluster on AWS EC2/65 - Matrix Factorization in Spark.mp4 182.0 MB
  • 5 - Matrix Factorization and Deep Learning/49 - Autoencoders AutoRec Code.mp4 159.5 MB
  • 6 - Restricted Boltzmann Machines RBMs for Collaborative Filtering/61 - RBM Code pt 3.mp4 148.2 MB
  • 12 - Effective Learning Strategies for Machine Learning FAQ by Student Request/91 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 143.0 MB
  • 12 - Effective Learning Strategies for Machine Learning FAQ by Student Request/90 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 141.4 MB
  • 3 - Collaborative Filtering/23 - Data Preprocessing.mp4 131.9 MB
  • 9 - Bayesian Ranking Scary Version/79 - Optional Bayesian Approach part 4 Code.mp4 122.3 MB
  • 11 - Extra Help With Python Coding for Beginners FAQ by Student Request/86 - Proof that using Jupyter Notebook is the same as not using it.mp4 113.7 MB
  • 6 - Restricted Boltzmann Machines RBMs for Collaborative Filtering/62 - Speeding up the RBM Code.mp4 98.6 MB
  • 11 - Extra Help With Python Coding for Beginners FAQ by Student Request/84 - How to Code by Yourself part 1.mp4 98.1 MB
  • 7 - Big Data Matrix Factorization with Spark Cluster on AWS EC2/66 - Spark Submit.mp4 78.7 MB
  • 7 - Big Data Matrix Factorization with Spark Cluster on AWS EC2/67 - Setting up a Spark Cluster on AWS EC2.mp4 77.4 MB
  • 5 - Matrix Factorization and Deep Learning/43 - Matrix Factorization in Keras Code.mp4 75.3 MB
  • 5 - Matrix Factorization and Deep Learning/38 - Matrix Factorization in Code Vectorized.mp4 74.9 MB
  • 5 - Matrix Factorization and Deep Learning/32 - Matrix Factorization First Steps.mp4 70.8 MB
  • 2 - Simple Recommendation Systems/15 - PageRank part 1.mp4 68.6 MB
  • 13 - Appendix FAQ Finale/93 - BONUS.mp4 64.0 MB
[磁力链接] 添加时间:2025-07-09 大小:4.3 GB 最近下载:2025-10-26 热度:199

[FreeTutorials.Us] Master Computer Vision OpenCV4 in Python with Deep Learning

  • 19. BONUS - Object Detection - Use SSDs (Single Shot Detector) for Detecting Objects/1.1 SSDOpenCV.tar.gz.gz 149.5 MB
  • 12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/1.1 DeepLearningCV_MOCV.tar.gz.gz 142.0 MB
  • 1. Course Introduction and Setup/9.2 MasteringComputerVision_V1.03.zip.zip 133.7 MB
  • 18. BONUS - Neural Style Transfer with OpenCV/1.1 NeuralStyleTransfer.tar.gz.gz 126.7 MB
  • 13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/9. Regularization, Overfitting, Generalization and Test Datasets.mp4 124.1 MB
  • 1. Course Introduction and Setup/5.1 masteropencv4_v1.5.tar.gz.gz 121.8 MB
  • 20. BONUS - Colorize Black and White Images/1.1 colorize.tar.gz.gz 120.1 MB
  • 4. Image Segmentation & Contours/1. Segmentation and Contours - Extract Defined Shapes In Your Image.mp4 113.1 MB
  • 16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.mp4 108.8 MB
  • 14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/3. Convolutions & Image Features.mp4 107.4 MB
  • 13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/8. Backpropagation & Learning Rates – A Worked Example.mp4 104.7 MB
  • 1. Course Introduction and Setup/6. Installation of OpenCV & Python on Windows.mp4 94.3 MB
  • 12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/1. Setup your Deep Learning Virtual Machine.mp4 81.2 MB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/12. Building a Simple Image Classifier using CIFAR10.mp4 78.0 MB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/2. Building a CNN in Keras.mp4 77.3 MB
  • 13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/7. Training Part 2 – Backpropagation and Gradient Descent.mp4 76.2 MB
  • 12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/2. Intro to Handwritten Digit Classification (MNIST).mp4 70.6 MB
  • 16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/2.1 datasets.zip.zip 68.9 MB
  • 6. Object Detection - Build a Face, People and CarVehicle Detectors/1. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.mp4 68.4 MB
  • 13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/4. Forward Propagation.mp4 66.4 MB
[磁力链接] 添加时间:2021-03-12 大小:4.2 GB 最近下载:2025-10-26 热度:3280

Frank Kane - Data Science and Machine Learning with Python

  • 01 Getting Started/001 Introduction.mp4 46.1 MB
  • 01 Getting Started/004 Python Basics, Part 1.mp4 46.1 MB
  • 01 Getting Started/003 Activity Installing Enthought Canopy.mp4 35.0 MB
  • 01 Getting Started/005 Activity Python Basics, Part 2.mp4 29.8 MB
  • 01 Getting Started/002 Getting What You Need.mp4 26.4 MB
  • 01 Getting Started/006 Running Python Scripts.mp4 22.6 MB
  • 02 Statistics and Probability Refresher, and Python Practise/010 Exercise Conditional Probability.mp4 55.4 MB
  • 02 Statistics and Probability Refresher, and Python Practise/009 Activity Covariance and Correlation.mp4 52.2 MB
  • 02 Statistics and Probability Refresher, and Python Practise/008 Activity A Crash Course in matplotlib.mp4 51.7 MB
  • 02 Statistics and Probability Refresher, and Python Practise/004 Activity Variation and Standard Deviation.mp4 47.8 MB
  • 02 Statistics and Probability Refresher, and Python Practise/007 Activity Percentiles and Moments.mp4 45.1 MB
  • 02 Statistics and Probability Refresher, and Python Practise/003 Activity Using mean, median, and mode in Python.mp4 40.9 MB
  • 02 Statistics and Probability Refresher, and Python Practise/001 Types of Data.mp4 35.8 MB
  • 02 Statistics and Probability Refresher, and Python Practise/012 Bayes Theorem.mp4 31.6 MB
  • 02 Statistics and Probability Refresher, and Python Practise/002 Mean, Median, Mode.mp4 29.5 MB
  • 02 Statistics and Probability Refresher, and Python Practise/006 Common Data Distributions.mp4 29.0 MB
  • 02 Statistics and Probability Refresher, and Python Practise/011 Exercise Solution Conditional Probability of Purchase by Age.mp4 14.8 MB
  • 02 Statistics and Probability Refresher, and Python Practise/005 Probability Density Function Probability Mass Function.mp4 13.0 MB
  • 03 Predictive Models/001 Activity Linear Regression.mp4 43.1 MB
  • 03 Predictive Models/003 Activity Multivariate Regression, and Predicting Car Prices.mp4 42.0 MB
[磁力链接] 添加时间:2017-02-09 大小:2.7 GB 最近下载:2025-10-26 热度:7177

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

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

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

  • 10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4 108.8 MB
  • 5. Markov Decision Proccesses/7. Bellman Examples.mp4 91.3 MB
  • 10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 2. High Level Overview of Reinforcement Learning and Course Outline/1. What is Reinforcement Learning.mp4 57.3 MB
  • 3. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4 54.4 MB
  • 3. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
  • 10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 2. High Level Overview of Reinforcement Learning and Course Outline/1. What is Reinforcement Learning.vtt 45.0 MB
  • 2. High Level Overview of Reinforcement Learning and Course Outline/4. Defining Some Terms.mp4 44.4 MB
  • 10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 10. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
  • 2. High Level Overview of Reinforcement Learning and Course Outline/2. On Unusual or Unexpected Strategies of RL.mp4 38.9 MB
  • 1. Welcome/1. Introduction.mp4 35.9 MB
  • 2. High Level Overview of Reinforcement Learning and Course Outline/3. Course Outline.mp4 32.5 MB
  • 10. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
  • 10. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
  • 3. Return of the Multi-Armed Bandit/5. Designing Your Bandit Program.mp4 25.7 MB
  • 6. Dynamic Programming/3. Designing Your RL Program.mp4 23.4 MB
  • 4. Build an Intelligent Tic-Tac-Toe Agent/12. Tic Tac Toe Exercise.mp4 20.7 MB
[磁力链接] 添加时间:2021-03-06 大小:1.6 GB 最近下载:2025-10-26 热度:2761

Udemy - From 0 to 1 Machine Learning, NLP & Python-Cut to the Chase (2015)

  • 11_-_Regression_as_a_form_of_supervised_learning/23_-_Regression_Introduced_-_Linear_and_Logistic_Regression.mp4 103.8 MB
  • 12_-_Natural_Language_Processing_and_Python/28_-_Put_it_to_work_-_News_Article_Clustering_with_K-Means_and_TF-IDF.mp4 112.4 MB
  • 12_-_Natural_Language_Processing_and_Python/25_-_Put_it_to_work_-_News_Article_Classification_using_K-Nearest_Neighbors.mp4 155.2 MB
  • 12_-_Natural_Language_Processing_and_Python/24_-_A_Serious_NLP_Application_-_Text_Auto_Summarization_using_Python.mp4 95.5 MB
  • 12_-_Natural_Language_Processing_and_Python/26_-_Put_it_to_work_-_News_Article_Classification_using_Naive_Bayes_Classifier.mp4 147.5 MB
  • 12_-_Natural_Language_Processing_and_Python/27_-_Document_Distance_using_TF-IDF.mp4 82.9 MB
  • 05_-_K-Nearest_Neighbors/14_-_K-Nearest_Neighbors_-_A_few_wrinkles.mp4 120.3 MB
  • 05_-_K-Nearest_Neighbors/13_-_K-Nearest_Neighbors.mp4 93.0 MB
  • 01_-_Introduction/01_-_What_this_course_is_about.mp4 131.2 MB
  • 09_-_Dimensionality_Reduction/20_-_Principal_Component_Analysis.mp4 130.8 MB
  • 09_-_Dimensionality_Reduction/19_-_Dimensionality_Reduction.mp4 133.7 MB
  • 03_-_Classification_-_A_form_of_supervised_learning/06_-_Classification_-_Problems_and_Techniques.mp4 133.7 MB
  • 03_-_Classification_-_A_form_of_supervised_learning/07_-_Bias_Variance_Trade-off.mp4 77.4 MB
  • 04_-_Naive_Bayes_Classifier/10_-_Naive_Bayes_Classifier.mp4 77.6 MB
  • 04_-_Naive_Bayes_Classifier/12_-_Naive_Bayes_Classifier_-_Application_to_spam_detection.mp4 72.1 MB
  • 04_-_Naive_Bayes_Classifier/11_-_Naive_Bayes_Classifier_-_An_example.mp4 100.6 MB
  • 04_-_Naive_Bayes_Classifier/08_-_Random_Variables.mp4 125.0 MB
  • 04_-_Naive_Bayes_Classifier/09_-_Bayes_Theorem.mp4 87.7 MB
  • 02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/03_-_Plunging_In_-_Machine_Learning_Approaches_to_Spam_Detection.mp4 127.7 MB
  • 02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/05_-_Get_the_Lay_of_the_Land_-_Types_of_Machine_Learning_Problems.mp4 125.9 MB
[磁力链接] 添加时间:2017-02-13 大小:3.1 GB 最近下载:2025-10-26 热度:4233

Udemy - Data Science Deep Learning and Neural Networks in Python (12.2023)

  • 11 - Setting Up Your Environment FAQ by Student Request/77 - Anaconda Environment Setup.mp4 291.7 MB
  • 13 - Effective Learning Strategies for Machine Learning FAQ by Student Request/88 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 181.5 MB
  • 13 - Effective Learning Strategies for Machine Learning FAQ by Student Request/85 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced.mp4 170.9 MB
  • 7 - TensorFlow exercises practice and what to learn next/54 - Visualizing what a neural network has learned using TensorFlow Playground.mp4 167.8 MB
  • 4 - Classifying more than 2 things at a time/22 - ECommerce Course Project PreProcessing the Data.mp4 153.6 MB
  • 10 - HigherLevel Discussion/74 - Who should learn backpropagation in 2020 and beyond.mp4 140.4 MB
  • 13 - Effective Learning Strategies for Machine Learning FAQ by Student Request/87 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 132.6 MB
  • 7 - TensorFlow exercises practice and what to learn next/53 - TensorFlow plugandplay example.mp4 131.0 MB
  • 5 - Training a neural network/39 - ECommerce Course Project Training Logistic Regression with Softmax.mp4 127.7 MB
  • 6 - Practical Machine Learning/46 - Neural Networks for Regression.mp4 122.1 MB
  • 12 - Extra Help With Python Coding for Beginners FAQ by Student Request/82 - Proof that using Jupyter Notebook is the same as not using it.mp4 119.4 MB
  • 5 - Training a neural network/37 - Backpropagation part 3.mp4 109.6 MB
  • 4 - Classifying more than 2 things at a time/17 - Feedforward in SlowMo part 1.mp4 103.5 MB
  • 4 - Classifying more than 2 things at a time/23 - ECommerce Course Project Making Predictions.mp4 95.2 MB
  • 10 - HigherLevel Discussion/73 - Who should take this course in 2020 and beyond.mp4 94.0 MB
  • 5 - Training a neural network/32 - Training Logistic Regression with Softmax part 1.mp4 91.2 MB
  • 9 - Backpropagation Supplementary Lectures/71 - Backpropagation with Softmax Troubleshooting.mp4 83.1 MB
  • 5 - Training a neural network/36 - Backpropagation in code.mp4 82.4 MB
  • 1 - Welcome/2 - Where to get the code.mp4 78.8 MB
  • 10 - HigherLevel Discussion/75 - Where does this course fit into your deep learning studies.mp4 75.9 MB
[磁力链接] 添加时间:2025-08-14 大小:4.2 GB 最近下载:2025-10-26 热度:109

[FreeCoursesOnline.Me] [Packt] Machine Learning for Algorithmic Trading Bots with Python [FCO]

  • 05.Build Advanced Trading Algorithm/0502.Implement Scalpers Trading Strategy.mp4 127.9 MB
  • Exercise Files/exercise_files.zip 94.4 MB
  • 01.Building Your First Trading Bot/0105.Fetching and Understanding the Dataset.mp4 71.6 MB
  • 03.Build a Trading Algorithm/0303.Implement Exploit Correlation Strategy.mp4 60.7 MB
  • 02.Design a Machine Learning Model/0202.Build and Implement Random Forests Algorithm.mp4 54.3 MB
  • 06.Model and Strategy Evaluation/0601.Introducing Value at Risk Backtest.mp4 42.4 MB
  • 01.Building Your First Trading Bot/0101.The Course Overview.mp4 42.0 MB
  • 06.Model and Strategy Evaluation/0605.Conclusion and Next steps..mp4 41.2 MB
  • 04.Design Advanced Machine Learning Model/0402.Implementing GBoosting Using Python.mp4 38.7 MB
  • 06.Model and Strategy Evaluation/0604.Implement VaR Using SVR.mp4 38.7 MB
  • 06.Model and Strategy Evaluation/0602.Implement Value at Risk Backtest.mp4 37.1 MB
  • 01.Building Your First Trading Bot/0107.Evaluate the Strategy’s Performance.mp4 36.9 MB
  • 04.Design Advanced Machine Learning Model/0403.Evaluating the Model Performance.mp4 36.0 MB
  • 02.Design a Machine Learning Model/0201.Intuition behind Random Forests Algorithm.mp4 34.7 MB
  • 01.Building Your First Trading Bot/0102.Introduction to Financial Machine Learning and Algorithmic Trading.mp4 32.8 MB
  • 01.Building Your First Trading Bot/0103.Setting up the Environment.mp4 30.2 MB
  • 01.Building Your First Trading Bot/0106.Build the Conventional Buy and Hold Strategy.mp4 26.0 MB
  • 05.Build Advanced Trading Algorithm/0503.Evaluate Scalpers Trading Strategy.mp4 25.8 MB
  • 02.Design a Machine Learning Model/0203.Plug-in Random Forests Implementation into Your Bot.mp4 22.6 MB
  • 01.Building Your First Trading Bot/0104.Project Skeleton Overview.mp4 22.0 MB
[磁力链接] 添加时间:2021-03-16 大小:1.0 GB 最近下载:2025-10-26 热度:5823

2021 Python for Data Science & Machine Learning from A-Z

  • [TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/19. PCA/7. PCA - Image Compression.mp4 262.1 MB
  • [TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/16. Ensemble Learning and Random Forests/6. Implementing Random Forests from scratch Part 1.mp4 212.4 MB
  • [TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/15. Decision Trees/7. ID3 - Putting Everything Together.mp4 191.3 MB
  • [TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/14. K Nearest Neighbors/3. EDA on Iris Dataset.mp4 169.7 MB
  • [TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/15. Decision Trees/3. What is Entropy and Information Gain.mp4 142.7 MB
  • [TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/19. PCA/9. PCA - Biplot and the Screen Plot.mp4 142.2 MB
  • [TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/1. Introduction/6. How To Get a Data Science Job.mp4 137.6 MB
  • [TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/1. Introduction/5. What is a Data Scientist.mp4 133.7 MB
  • [TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/17. Support Vector Machines/6. SVM - Kernel Types.mp4 132.5 MB
  • [TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/15. Decision Trees/2. EDA on Adult Dataset.mp4 129.2 MB
  • [TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/15. Decision Trees/8. Evaluating our ID3 implementation.mp4 127.9 MB
  • [TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/19. PCA/8. PCA Data Preprocessing.mp4 126.3 MB
  • [TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/15. Decision Trees/13. Pruning.mp4 118.5 MB
  • [TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/17. Support Vector Machines/8. SVM with Non-linear Dataset.mp4 117.0 MB
  • [TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/13. Linear and Logistic Regression/3. Linear Regression + Correlation Methods.mp4 115.7 MB
  • [TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/18. K-means/3. Representing Clusters.mp4 114.9 MB
  • [TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/3. Python For Data Science/15. Python Dictionaries.mp4 109.2 MB
  • [TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/17. Support Vector Machines/7. SVM with Linear Dataset (Iris).mp4 106.5 MB
  • [TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/18. K-means/1. Unsupervised Machine Learning Intro.mp4 105.8 MB
  • [TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/9. Machine Learning/1. Introduction To Machine Learning.mp4 103.5 MB
[磁力链接] 添加时间:2021-03-09 大小:7.9 GB 最近下载:2025-10-26 热度:2210


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