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[GigaCourse.Com] Udemy - Machine Learning with SciKit-Learn with Python

  • 9. Cross Validation/13. Performance Analysis on the Test Set.mp4 125.2 MB
  • 6. Pandas/6. Remove Operations.mp4 123.1 MB
  • 9. Cross Validation/5. PCA Pipeline.mp4 122.9 MB
  • 9. Cross Validation/1. Cross Validation.mp4 117.4 MB
  • 5. Matlplotlib/3. Multiple Figures and Subplots.mp4 115.7 MB
  • 8. Learning and Predicting/4. Persisting Models.mp4 110.3 MB
  • 9. Cross Validation/3. K-Means Clustering Example.mp4 109.0 MB
  • 6. Pandas/7. Pandas Arithmetic Operations.mp4 108.2 MB
  • 6. Pandas/4. Data Structure in Pandas Continue.mp4 107.1 MB
  • 8. Learning and Predicting/5. K-NN Algorithm with Example.mp4 106.3 MB
  • 3. NumPy Array/6. Numpy Array Splicing.mp4 103.6 MB
  • 3. NumPy Array/4. NumPy Array Operations Continue.mp4 97.5 MB
  • 9. Cross Validation/15. Language Identifcation.mp4 97.4 MB
  • 9. Cross Validation/9. Text Data Example.mp4 94.2 MB
  • 3. NumPy Array/8. Stacking Together Different Arrays.mp4 89.7 MB
  • 5. Matlplotlib/2. Understanding Various Functions of Pyplot.mp4 89.6 MB
  • 9. Cross Validation/14. Parameter Tuning.mp4 89.3 MB
  • 6. Pandas/3. Data Structure in Pandas.mp4 88.0 MB
  • 6. Pandas/5. Pandas Column Select.mp4 83.4 MB
  • 3. NumPy Array/3. NumPy Array Operations.mp4 82.3 MB
[磁力链接] 添加时间:2022-02-13 大小:3.9 GB 最近下载:2025-10-24 热度:2559

[FreeTutorials.Eu] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 10. Python for Data Visualization - Pandas Built-in Data Visualization/1. Pandas Built-in Data Visualization.mp4 32.9 MB
  • 10. Python for Data Visualization - Pandas Built-in Data Visualization/1. Pandas Built-in Data Visualization.vtt 19.0 kB
  • 10. Python for Data Visualization - Pandas Built-in Data Visualization/2. Pandas Data Visualization Exercise.mp4 5.4 MB
  • 10. Python for Data Visualization - Pandas Built-in Data Visualization/2. Pandas Data Visualization Exercise.vtt 2.1 kB
  • 10. Python for Data Visualization - Pandas Built-in Data Visualization/3. Pandas Data Visualization Exercise- Solutions.mp4 30.0 MB
  • 10. Python for Data Visualization - Pandas Built-in Data Visualization/3. Pandas Data Visualization Exercise- Solutions.vtt 12.2 kB
  • 11. Python for Data Visualization - Plotly and Cufflinks/1. Introduction to Plotly and Cufflinks.mp4 13.1 MB
  • 11. Python for Data Visualization - Plotly and Cufflinks/1. Introduction to Plotly and Cufflinks.vtt 5.1 kB
  • 11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp4 53.6 MB
  • 11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.vtt 25.3 kB
  • 12. Python for Data Visualization - Geographical Plotting/1. Introduction to Geographical Plotting.mp4 2.0 MB
  • 12. Python for Data Visualization - Geographical Plotting/1. Introduction to Geographical Plotting.vtt 1.3 kB
  • 12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.mp4 48.4 MB
  • 12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.vtt 24.0 kB
  • 12. Python for Data Visualization - Geographical Plotting/3. Choropleth Maps - Part 2 - World.mp4 20.1 MB
  • 12. Python for Data Visualization - Geographical Plotting/3. Choropleth Maps - Part 2 - World.vtt 8.2 kB
  • 12. Python for Data Visualization - Geographical Plotting/4. Choropleth Exercises.mp4 11.7 MB
  • 12. Python for Data Visualization - Geographical Plotting/4. Choropleth Exercises.vtt 5.3 kB
  • 12. Python for Data Visualization - Geographical Plotting/5. Choropleth Exercises - Solutions.mp4 29.0 MB
  • 12. Python for Data Visualization - Geographical Plotting/5. Choropleth Exercises - Solutions.vtt 12.7 kB
[磁力链接] 添加时间:2018-12-07 大小:3.9 GB 最近下载:2025-10-26 热度:2550

[FreeCourseSite.com] Udemy - [2022] Machine Learning and Deep Learning Bootcamp in Python

  • 54 - COURSE MATERIALS (DOWNLOADS)/001 PythonMachineLearning.zip 592.6 MB
  • 33 - Q Learning Implementation (Tic Tac Toe)/006 Tic tac toe with Q learning implementation VI.mp4 104.3 MB
  • 45 - You Only Look Once (YOLO) Algorithm Implementation/005 YOLO algorithm implementation V.mp4 100.5 MB
  • 05 - Linear Regression/004 Linear regression implementation I.mp4 95.2 MB
  • 19 - Single Layer Networks Implementation/002 Simple neural network implementation - Iris dataset.mp4 89.1 MB
  • 09 - Naive Bayes Classifier/006 Naive Bayes example - clustering news.mp4 82.7 MB
  • 35 - Deep Q Learning Implementation (Tic Tac Toe)/003 Tic Tac Toe with deep Q learning implementation III.mp4 77.9 MB
  • 40 - Face Detection with Viola-Jones Method Implementation/002 Face detection implementation II - CascadeClassifier.mp4 74.1 MB
  • 46 - Single-Shot MultiBox Detector (SSD) Theory/003 Bounding boxes and anchor boxes.mp4 74.0 MB
  • 45 - You Only Look Once (YOLO) Algorithm Implementation/004 YOLO algorithm implementation IV.mp4 73.1 MB
  • 38 - Computer Vision Project I - Lane Detection Problem (Self-Driving Cars)/005 Getting the useful region of the image - masking.mp4 67.9 MB
  • 16 - Machine Learning Project I - Face Recognition/004 Understanding eigenfaces.mp4 66.0 MB
  • 43 - Convolutional Neural Networks (CNNs) Based Approaches/002 Region proposals and convolutional neural networks (CNNs).mp4 63.6 MB
  • 26 - Machine Learning Project III - Identifying Objects with CNNs/004 Tuning the parameters - regularization.mp4 63.4 MB
  • 06 - Logistic Regression/004 Logistic regression example II- credit scoring.mp4 61.4 MB
  • 25 - Convolutional Neural Networks (CNNs) Implementation/002 Handwritten digit classification II.mp4 58.3 MB
  • 25 - Convolutional Neural Networks (CNNs) Implementation/001 Handwritten digit classification I.mp4 57.0 MB
  • 42 - Histogram of Oriented Gradients (HOG) Implementation/001 Showing the HOG features programatically.mp4 56.0 MB
  • 31 - Exploration vs. Exploitation Problem/003 N-armed bandit problem implementation.mp4 55.9 MB
  • 42 - Histogram of Oriented Gradients (HOG) Implementation/003 Face detection with HOG implementation II.mp4 54.9 MB
[磁力链接] 添加时间:2022-04-13 大小:7.6 GB 最近下载:2025-10-24 热度:2540

[ CourseWikia.com ] Advanced AI - Deep Reinforcement Learning in Python (Updated 01 - 2021).zip

  • [ CourseWikia.com ] Advanced AI - Deep Reinforcement Learning in Python (Updated 01 - 2021).zip 2.9 GB
[磁力链接] 添加时间:2022-01-09 大小:2.9 GB 最近下载:2025-10-26 热度:2537

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

  • 6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
  • 6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
  • 9. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.2 MB
  • 7. A3C/5. A3C - Code pt 4.mp4 193.3 MB
  • 8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
  • 8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 97.9 MB
  • 8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.2 MB
  • 7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
  • 8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
  • 9. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
  • 7. A3C/1. A3C - Theory and Outline.mp4 75.2 MB
  • 7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
  • 7. A3C/2. A3C - Code pt 1 (Warmup).mp4 52.5 MB
  • 9. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 9. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 9. Appendix FAQ/13. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 9. Appendix FAQ/12. What order should I take your courses in (part 2).mp4 39.4 MB
  • 9. Appendix FAQ/11. What order should I take your courses in (part 1).mp4 30.7 MB
  • 6. Deep Q-Learning/6. Pseudocode and Replay Memory.mp4 29.2 MB
  • 9. Appendix FAQ/4. How to Code by Yourself (part 1).mp4 25.7 MB
[磁力链接] 添加时间:2021-03-24 大小:2.5 GB 最近下载:2025-10-26 热度:2531

[ FreeCourseWeb.com ] Udemy - Neural Networks in Python - Deep Learning for Beginners

  • ~Get Your Files Here !/11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 163.4 MB
  • ~Get Your Files Here !/13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
  • ~Get Your Files Here !/4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
  • ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/13. Bi-variate analysis and Variable transformation.mp4 105.3 MB
  • ~Get Your Files Here !/16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 96.6 MB
  • ~Get Your Files Here !/12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 96.6 MB
  • ~Get Your Files Here !/3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
  • ~Get Your Files Here !/10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.7 MB
  • ~Get Your Files Here !/10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
  • ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/18. Correlation Analysis.mp4 75.1 MB
  • ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/9. Outlier Treatment in Python.mp4 73.6 MB
  • ~Get Your Files Here !/10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB
  • ~Get Your Files Here !/16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.mp4 73.1 MB
  • ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 72.7 MB
  • ~Get Your Files Here !/2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 68.3 MB
  • ~Get Your Files Here !/2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 67.6 MB
  • ~Get Your Files Here !/16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp4 66.5 MB
  • ~Get Your Files Here !/5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 65.2 MB
  • ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/7. EDD in Python.mp4 64.8 MB
  • ~Get Your Files Here !/14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB
[磁力链接] 添加时间:2024-06-29 大小:3.3 GB 最近下载:2025-10-09 热度:2526

[FreeCourseSite.com] Udemy - Advanced AI Deep Reinforcement Learning in Python

  • 9. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.2 MB
  • 7. A3C/5. A3C - Code pt 4.mp4 193.3 MB
  • 8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
  • 8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 97.9 MB
  • 8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.2 MB
  • 7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
  • 8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
  • 9. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 7. A3C/1. A3C - Theory and Outline.mp4 75.2 MB
  • 7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
  • 7. A3C/2. A3C - Code pt 1 (Warmup).mp4 52.5 MB
  • 9. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 9. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 9. Appendix/13. What order should I take your courses in (part 2).mp4 39.5 MB
  • 9. Appendix/12. What order should I take your courses in (part 1).mp4 30.7 MB
  • 9. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
  • 5. Policy Gradients/9. Mountain Car Continuous Theano (v2).mp4 23.3 MB
  • 5. Policy Gradients/7. Mountain Car Continuous Tensorflow.mp4 21.1 MB
  • 6. Deep Q-Learning/7. Deep Q-Learning in Theano for Breakout.mp4 21.0 MB
  • 5. Policy Gradients/6. Mountain Car Continuous Theano.mp4 20.0 MB
[磁力链接] 添加时间:2021-03-17 大小:1.9 GB 最近下载:2025-10-23 热度:2524

[DesireCourse.Com] Udemy - Recommender Systems and Deep Learning in Python

  • 8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 203.7 MB
  • 8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 175.1 MB
  • 3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.mp4 161.0 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.mp4 134.8 MB
  • 8. Appendix/9. What order should I take your courses in (part 2).mp4 129.0 MB
  • 8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.0 MB
  • 3. Collaborative Filtering/4. Data Preprocessing.mp4 121.5 MB
  • 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.mp4 115.4 MB
  • 2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).mp4 111.7 MB
  • 4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.mp4 107.3 MB
  • 4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.mp4 102.1 MB
  • 8. Appendix/8. What order should I take your courses in (part 1).mp4 92.7 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.mp4 87.0 MB
  • 8. Appendix/6. How to Code by Yourself (part 1).mp4 86.5 MB
  • 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.mp4 76.8 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.mp4 73.8 MB
  • 3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.mp4 72.8 MB
  • 4. Matrix Factorization and Deep Learning/2. Matrix Factorization - First Steps.mp4 72.0 MB
  • 7. Basics Review/2. Keras Neural Network in Code.mp4 69.4 MB
  • 4. Matrix Factorization and Deep Learning/13. Matrix Factorization in Keras (Code).mp4 67.0 MB
[磁力链接] 添加时间:2021-03-13 大小:4.3 GB 最近下载:2025-10-27 热度:2500

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

  • 8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • 7. Machine Learning Basics/3. Classification in Code.mp4 131.5 MB
  • 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 3. Matplotlib (New)/7. Where to Learn More Matplotlib.mp4 80.9 MB
  • 2. Numpy (New)/7. Generating Data.mp4 66.2 MB
  • 7. Machine Learning Basics/2. What is Classification.mp4 65.2 MB
  • 7. Machine Learning Basics/5. Regression in Code.mp4 64.9 MB
  • 1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
  • 2. Numpy (New)/5. Matrices.mp4 60.0 MB
  • 2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
  • 4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
  • 7. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp4 47.7 MB
  • 8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 7. Machine Learning Basics/4. What is Regression.mp4 45.3 MB
  • 5. Scipy (New)/5. Where to Learn More Scipy.mp4 40.8 MB
  • 7. Machine Learning Basics/1. Machine Learning Section Introduction.mp4 40.8 MB
  • 2. Numpy (New)/9. Where to Learn More Numpy.mp4 40.7 MB
  • 3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
  • 11. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
[磁力链接] 添加时间:2021-03-07 大小:1.9 GB 最近下载:2025-10-26 热度:2486

[FTUForum.com] [UDEMY] Machine Learning and AI Support Vector Machines in Python [FTU]

  • 9. Appendix/2. Windows-Focused Environment Setup 2018.mp4 203.8 MB
  • 9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 175.1 MB
  • 9. Appendix/11. What order should I take your courses in (part 2).mp4 129.0 MB
  • 9. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.4 MB
  • 2. Beginner_s Corner/3. Spam Detection with SVMs.mp4 106.4 MB
  • 9. Appendix/10. What order should I take your courses in (part 1).mp4 92.7 MB
  • 7. Implementations and Extensions/3. SVM with Projected Gradient Descent Code.mp4 87.7 MB
  • 9. Appendix/6. How to Code by Yourself (part 1).mp4 86.6 MB
  • 8. Neural Networks (Beginner_s Corner 2)/2. RBF Networks.mp4 83.4 MB
  • 9. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 8. Neural Networks (Beginner_s Corner 2)/7. Neural Network-SVM Mashup.mp4 75.8 MB
  • 4. Linear SVM/5. Linear and Quadratic Programming.mp4 67.3 MB
  • 7. Implementations and Extensions/5. Kernel SVM Gradient Descent with Primal (Code).mp4 61.6 MB
  • 5. Duality/2. Duality and Lagrangians (part 1).mp4 61.5 MB
  • 9. Appendix/7. How to Code by Yourself (part 2).mp4 59.4 MB
  • 2. Beginner_s Corner/6. Cross-Validation.mp4 57.3 MB
  • 4. Linear SVM/9. Linear SVM with Gradient Descent (Code).mp4 54.5 MB
  • 2. Beginner_s Corner/5. Regression with SVMs.mp4 53.4 MB
  • 4. Linear SVM/4. Linear SVM Objective.mp4 51.6 MB
  • 2. Beginner_s Corner/4. Medical Diagnosis with SVMs.mp4 50.2 MB
[磁力链接] 添加时间:2021-03-07 大小:3.3 GB 最近下载:2025-10-26 热度:2461

Deep Learning Recommendation Algorithms with Python

  • [TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/21 - 14 Classes And Objects.mp4 234.1 MB
  • [TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/18 - 11 Loops.mp4 175.1 MB
  • [TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/11 - 03 Operators.mp4 169.3 MB
  • [TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/22 - 15 Inheritance Examples.mp4 137.0 MB
  • [TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/17 - 10 If Statement Examples.mp4 123.8 MB
  • [TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/13 - 05 List Examples.mp4 115.1 MB
  • [TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/9 - 01 Variables.mp4 111.6 MB
  • [TutsNode.net] - Deep Learning Recommendation Algorithms with Python/11 - 08 Data Processing Profiles and Items/50 - 01 Load Data For Machine Learning.mp4 111.0 MB
  • [TutsNode.net] - Deep Learning Recommendation Algorithms with Python/7 - 04 Introduction to User Similarity/36 - 02 Find A Recommendation Based On Different Movie Features.mp4 109.5 MB
  • [TutsNode.net] - Deep Learning Recommendation Algorithms with Python/4 - 01 Build a Basic Movie Recommender System/26 - 01 Load Data As Pandas Dataframes.mp4 100.4 MB
  • [TutsNode.net] - Deep Learning Recommendation Algorithms with Python/15 - 12 Build a Neural Network to Predict Ratings/70 - 04 Build A Neural Network.mp4 100.2 MB
  • [TutsNode.net] - Deep Learning Recommendation Algorithms with Python/16 - 13 Data Analysis with Pandas Numpy and Scikit Learn/80 - 07 Build An Average Ratings Column.mp4 95.8 MB
  • [TutsNode.net] - Deep Learning Recommendation Algorithms with Python/15 - 12 Build a Neural Network to Predict Ratings/71 - 05 Train The Neural Network.mp4 91.7 MB
  • [TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/15 - 07 Dictionaries Examples.mp4 91.5 MB
  • [TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/19 - 12 Functions.mp4 90.6 MB
  • [TutsNode.net] - Deep Learning Recommendation Algorithms with Python/12 - 09 Build Models for User Recommendations/55 - 04B What Is Regression.mp4 89.2 MB
  • [TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/23 - 16 Static Members Examples.mp4 82.4 MB
  • [TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/20 - 13 Parameters And Return Values Examples.mp4 82.3 MB
  • [TutsNode.net] - Deep Learning Recommendation Algorithms with Python/11 - 08 Data Processing Profiles and Items/51 - 02 Process Data For Machine Learning.mp4 81.7 MB
  • [TutsNode.net] - Deep Learning Recommendation Algorithms with Python/2 - 00b Mammoth Interactive Courses Introduction/7 - 01 How To Learn Online Effectively.mp4 77.6 MB
[磁力链接] 添加时间:2024-03-04 大小:4.5 GB 最近下载:2025-10-25 热度:2461

Data Science and Machine Learning with Python - Hands On

  • Data Science and Machine Learning with Python.tgz 2.6 GB
  • Torrent downloaded from demonoid.pw.txt 46 Bytes
  • Torrent Downloaded From ExtraTorrent.cc.txt 352 Bytes
[磁力链接] 添加时间:2017-02-13 大小:2.6 GB 最近下载:2025-10-11 热度:2451

GetFreeCourses.Me-Udemy-Cutting-Edge AI Deep Reinforcement Learning in Python

  • 6. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 203.8 MB
  • 4. DDPG (Deep Deterministic Policy Gradient)/5. DDPG Code (part 1).mp4 203.0 MB
  • 3. A2C (Advantage Actor-Critic)/10. A2C.mp4 201.6 MB
  • 6. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 175.1 MB
  • 5. ES (Evolution Strategies)/7. ES for Flappy Bird in Code.mp4 149.1 MB
  • 6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 146.1 MB
  • 3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.mp4 134.8 MB
  • 6. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.2 MB
  • 4. DDPG (Deep Deterministic Policy Gradient)/4. MuJoCo.mp4 115.8 MB
  • 2. Review of Fundamental Reinforcement Learning Concepts/3. Markov Decision Processes (MDPs).mp4 113.9 MB
  • 5. ES (Evolution Strategies)/2. ES Theory.mp4 113.5 MB
  • 6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 104.2 MB
  • 3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).mp4 100.9 MB
  • 6. Appendix FAQ/6. How to Code by Yourself (part 1).mp4 86.6 MB
  • 4. DDPG (Deep Deterministic Policy Gradient)/3. DDPG Theory.mp4 84.6 MB
  • 2. Review of Fundamental Reinforcement Learning Concepts/5. Temporal Difference Learning (TD).mp4 82.4 MB
  • 6. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 2. Review of Fundamental Reinforcement Learning Concepts/2. The Explore-Exploit Dilemma.mp4 75.1 MB
  • 3. A2C (Advantage Actor-Critic)/7. Multiple Processes.mp4 73.5 MB
  • 5. ES (Evolution Strategies)/8. ES for MuJoCo in Code.mp4 72.0 MB
[磁力链接] 添加时间:2021-03-09 大小:3.5 GB 最近下载:2025-10-26 热度:2445

[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

[ DevCourseWeb.com ] Python for Data Science and Machine Learning Essential Training Part 1

  • ~Get Your Files Here !/08 - 7. Data Sourcing via Web Scraping/07 - Asynchronous scraping.mp4 49.0 MB
  • ~Get Your Files Here !/08 - 7. Data Sourcing via Web Scraping/03 - BeautifulSoup object.mp4 48.9 MB
  • ~Get Your Files Here !/05 - 4. Practical Data Visualization/05 - Creating labels and annotations.mp4 43.7 MB
  • ~Get Your Files Here !/05 - 4. Practical Data Visualization/01 - Introduction to the matplotlib and Seaborn libraries.mp4 40.6 MB
  • ~Get Your Files Here !/08 - 7. Data Sourcing via Web Scraping/05 - Data parsing.mp4 39.8 MB
  • ~Get Your Files Here !/03 - 2. Data Preparation Basics/04 - Treating missing values.mp4 39.4 MB
  • ~Get Your Files Here !/08 - 7. Data Sourcing via Web Scraping/06 - Web scraping in practice.mp4 37.9 MB
  • ~Get Your Files Here !/06 - 5. Exploratory Data Analysis/04 - Pearson correlation analysis.mp4 37.2 MB
  • ~Get Your Files Here !/03 - 2. Data Preparation Basics/03 - Filtering and selecting.mp4 36.6 MB
  • ~Get Your Files Here !/05 - 4. Practical Data Visualization/04 - Plot formatting.mp4 34.9 MB
  • ~Get Your Files Here !/05 - 4. Practical Data Visualization/07 - Creating statistical data graphics in Seaborn.mp4 33.3 MB
  • ~Get Your Files Here !/06 - 5. Exploratory Data Analysis/05 - Spearman rank correlation and Chi-square.mp4 33.2 MB
  • ~Get Your Files Here !/08 - 7. Data Sourcing via Web Scraping/04 - NavigableString objects.mp4 30.6 MB
  • ~Get Your Files Here !/06 - 5. Exploratory Data Analysis/06 - Extreme value analysis for outliers.mp4 30.2 MB
  • ~Get Your Files Here !/03 - 2. Data Preparation Basics/06 - Concatenating and transforming.mp4 29.2 MB
  • ~Get Your Files Here !/07 - 6. Getting Started with Machine Learning/01 - Cleaning and treating categorical variables.mp4 26.5 MB
  • ~Get Your Files Here !/05 - 4. Practical Data Visualization/03 - Defining elements of a plot.mp4 26.3 MB
  • ~Get Your Files Here !/09 - 8. Collaborative Analytics with Streamlit/05 - Bar charts and pie charts in Streamlit.mp4 24.4 MB
  • ~Get Your Files Here !/02 - 1. Introduction to the Data Professions/01 - Introduction to the data professions.mp4 22.9 MB
  • ~Get Your Files Here !/06 - 5. Exploratory Data Analysis/03 - Summarizing categorical data.mp4 22.4 MB
[磁力链接] 添加时间:2024-03-31 大小:1.1 GB 最近下载:2025-10-26 热度:2413

[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 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
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 90.7 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
  • 18. K Nearest Neighbors/4. KNN Project Solutions.mp4 74.3 MB
  • 26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 74.2 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 74.1 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
[磁力链接] 添加时间:2021-03-16 大小:6.0 GB 最近下载:2025-10-24 热度:2407

[ DevCourseWeb.com ] Udemy - Machine Deep Learning for Biology with Python and Tensorflow

  • ~Get Your Files Here !/1. Chapter 1/18. 14. Classes And Objects.mp4 234.1 MB
  • ~Get Your Files Here !/1. Chapter 1/15. 11. Loops.mp4 175.2 MB
  • ~Get Your Files Here !/1. Chapter 1/7. 03. Operators.mp4 169.3 MB
  • ~Get Your Files Here !/1. Chapter 1/19. 15. Inheritance Examples.mp4 137.0 MB
  • ~Get Your Files Here !/1. Chapter 1/14. 10. If Statement Examples.mp4 123.8 MB
  • ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/3. 02 Clean Data With Missing Values.mp4 123.2 MB
  • ~Get Your Files Here !/1. Chapter 1/9. 05. List Examples.mp4 115.1 MB
  • ~Get Your Files Here !/1. Chapter 1/5. 01. Variables.mp4 111.6 MB
  • ~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/2. 02 Clean And Preprocess Heart Disease Data For Machine Learning.mp4 109.1 MB
  • ~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/3. 04 Select Top Features Via Variance Threshold.mp4 108.0 MB
  • ~Get Your Files Here !/1. Chapter 1/11. 07. Dictionaries Examples.mp4 91.5 MB
  • ~Get Your Files Here !/1. Chapter 1/16. 12. Functions.mp4 90.6 MB
  • ~Get Your Files Here !/1. Chapter 1/27. 02 What Is Regression.mp4 87.8 MB
  • ~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/1. 01 Load Data Via Data File.mp4 87.1 MB
  • ~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/2. 01 Load And Analyze Data.mp4 84.3 MB
  • ~Get Your Files Here !/1. Chapter 1/20. 16. Static Members Examples.mp4 82.4 MB
  • ~Get Your Files Here !/1. Chapter 1/17. 13. Parameters And Return Values Examples.mp4 82.3 MB
  • ~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/4. 02 Build A K Nearest Neighbors Regression Model To Predict Diabetes.mp4 81.3 MB
  • ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/2. 01 Load And Analyze Blood Cell Data.mp4 78.6 MB
  • ~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/6. 05 Train And Evaluate Model Accuracy.mp4 76.6 MB
[磁力链接] 添加时间:2024-02-01 大小:4.4 GB 最近下载:2025-10-27 热度:2402

[DesireCourse.Com] Udemy - Natural Language Processing with Deep Learning in Python

  • [DesireCourse.Com] Udemy - Natural Language Processing with Deep Learning in Python.zip 524.3 MB
  • [DesireCourse.Com].txt 828 Bytes
  • [DesireCourse.Com].url 51 Bytes
[磁力链接] 添加时间:2018-08-21 大小:524.3 MB 最近下载:2025-09-25 热度:2401

[FreeTutorials.Us] [UDEMY] Cutting-Edge AI Deep Reinforcement Learning in Python [FTU]

  • 6. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 203.8 MB
  • 4. DDPG (Deep Deterministic Policy Gradient)/5. DDPG Code (part 1).mp4 203.0 MB
  • 3. A2C (Advantage Actor-Critic)/10. A2C.mp4 201.6 MB
  • 6. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 175.1 MB
  • 5. ES (Evolution Strategies)/7. ES for Flappy Bird in Code.mp4 149.1 MB
  • 6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 146.1 MB
  • 3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.mp4 134.8 MB
  • 6. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.2 MB
  • 4. DDPG (Deep Deterministic Policy Gradient)/4. MuJoCo.mp4 115.8 MB
  • 2. Review of Fundamental Reinforcement Learning Concepts/3. Markov Decision Processes (MDPs).mp4 113.9 MB
  • 5. ES (Evolution Strategies)/2. ES Theory.mp4 113.5 MB
  • 6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 104.2 MB
  • 3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).mp4 100.9 MB
  • 6. Appendix FAQ/6. How to Code by Yourself (part 1).mp4 86.6 MB
  • 4. DDPG (Deep Deterministic Policy Gradient)/3. DDPG Theory.mp4 84.6 MB
  • 2. Review of Fundamental Reinforcement Learning Concepts/5. Temporal Difference Learning (TD).mp4 82.4 MB
  • 6. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 2. Review of Fundamental Reinforcement Learning Concepts/2. The Explore-Exploit Dilemma.mp4 75.1 MB
  • 3. A2C (Advantage Actor-Critic)/7. Multiple Processes.mp4 73.5 MB
  • 5. ES (Evolution Strategies)/8. ES for MuJoCo in Code.mp4 72.0 MB
[磁力链接] 添加时间:2021-04-05 大小:3.5 GB 最近下载:2025-10-26 热度:2401

[DesireCourse.Com] Udemy - Zero to Deep Learning™ with Python and Keras

  • [DesireCourse.Com] Udemy - Zero to Deep Learning™ with Python and Keras.zip 1.3 GB
  • [DesireCourse.Com].txt 828 Bytes
  • [DesireCourse.Com].url 51 Bytes
[磁力链接] 添加时间:2018-12-04 大小:1.3 GB 最近下载:2025-10-26 热度:2398


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