learning python -移花宫 -武林禁地，闲人禁止入内

tutsgalaxy.-com-udemy-deep-learning-prerequisites-linear-regression-in-python

6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 63.2 MB
6. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.srt 62.3 MB
1. Welcome/1. Welcome.mp4 52.1 MB
6. Appendix FAQ/11. What order should I take your courses in (part 2).srt 49.7 MB
6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
6. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
4. Practical machine learning issues/3. Generalization error, train and test sets.srt 40.9 MB
6. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
6. Appendix FAQ/10. What order should I take your courses in (part 1).srt 30.8 MB
6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 30.7 MB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
6. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
2. 1-D Linear Regression Theory and Code/5. Determine how good the model is - r-squared.mp4 20.7 MB
6. Appendix FAQ/6. How to Code by Yourself (part 2).srt 20.5 MB
2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB

[磁力链接] 添加时间:2023-12-17 大小:1.3 GB 最近下载:2025-09-04 热度:204

[DesireCourse.Net] Udemy - Learning Python for Data Analysis and Visualization

10. Machine Learning/16. Decision Trees and Random Forests.mp4 160.4 MB
10. Machine Learning/19. Natural Language Processing Part 3.mp4 97.0 MB
9. Example Projects/17. Data Project - Election Analysis Part 4.mp4 86.1 MB
10. Machine Learning/20. Natural Language Processing Part 4.mp4 70.4 MB
10. Machine Learning/18. Natural Language Processing Part 2.mp4 62.6 MB
10. Machine Learning/17. Natural Language Processing Part 1.mp4 46.0 MB
2. Setup/3. iPythonJupyter Notebook Overview.mp4 41.4 MB
9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4 38.6 MB
10. Machine Learning/13. Support Vector Machines - Part 2.mp4 37.7 MB
10. Machine Learning/9. Logistic Regression Part 4.mp4 37.0 MB
10. Machine Learning/5. Linear Regression Part 4.mp4 32.4 MB
11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 32.2 MB
10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 32.1 MB
2. Setup/2. IDEs and Course Resources.mp4 31.8 MB
10. Machine Learning/4. Linear Regression Part 3.mp4 28.5 MB
8. Data Visualization/3. Kernel Density Estimate Plots.mp4 28.4 MB
10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 28.1 MB
9. Example Projects/1. Data Projects Preview.mp4 27.1 MB
10. Machine Learning/6. Logistic Regression Part 1.mp4 26.2 MB
9. Example Projects/15. Data Project - Election Analysis Part 2.mp4 26.1 MB

[磁力链接] 添加时间:2021-03-19 大小:2.1 GB 最近下载:2025-09-04 热度:1367

[ FreeCourseWeb.com ] Udemy - Learn Python, Packages, and Deep Learning in 9 Hours.zip

[ FreeCourseWeb.com ] Udemy - Learn Python, Packages, and Deep Learning in 9 Hours.zip 3.1 GB

[磁力链接] 添加时间:2021-04-27 大小:3.1 GB 最近下载:2025-09-04 热度:601

Python for Machine Learning with Numpy, Pandas & Matplotlib

01 Python Crash Course/001 Python Crash Course.mp4 1.7 GB
02 Numpy & Pandas for Data Science/001 Numpy & Pandas _ Part 1.mp4 968.9 MB
02 Numpy & Pandas for Data Science/002 Numpy & Pandas _ Part 2.mp4 841.5 MB
03 Data Visualization/001 Data Visualizaton _ Part 1.mp4 633.9 MB
03 Data Visualization/002 Data Visualizaton _ Part 2.mp4 281.5 MB
03 Data Visualization/004 Data Visualization.ipynb 169.3 kB
03 Data Visualization/004 titanic_train.csv 60.3 kB
03 Data Visualization/004 state_wise_daily_covid.csv 30.0 kB
02 Numpy & Pandas for Data Science/002 Numpy Tutorials.ipynb 26.4 kB
02 Numpy & Pandas for Data Science/002 Pandas.ipynb 15.2 kB
02 Numpy & Pandas for Data Science/003 iris.csv 5.1 kB
02 Numpy & Pandas for Data Science/003 IrisClassification.py 1.1 kB
Downloaded from 1337x.html 543 Bytes

[磁力链接] 添加时间:2022-04-17 大小:4.4 GB 最近下载:2025-09-03 热度:799

[FreeTutorials.Us] artificial-intelligence-reinforcement-learning-in-python

01 Introduction and Outline/001 Introduction and outline.mp4 10.6 MB
01 Introduction and Outline/002 What is Reinforcement Learning.mp4 23.0 MB
01 Introduction and Outline/003 Where to get the Code.mp4 4.7 MB
01 Introduction and Outline/004 Strategy for Passing the Course.mp4 9.9 MB
02 Return of the Multi-Armed Bandit/005 Problem Setup and The Explore-Exploit Dilemma.mp4 6.8 MB
02 Return of the Multi-Armed Bandit/006 Epsilon-Greedy.mp4 2.9 MB
02 Return of the Multi-Armed Bandit/007 Updating a Sample Mean.mp4 2.3 MB
02 Return of the Multi-Armed Bandit/008 Comparing Different Epsilons.mp4 8.4 MB
02 Return of the Multi-Armed Bandit/009 Optimistic Initial Values.mp4 5.4 MB
02 Return of the Multi-Armed Bandit/010 UCB1.mp4 8.6 MB
02 Return of the Multi-Armed Bandit/011 Bayesian Thompson Sampling.mp4 16.0 MB
02 Return of the Multi-Armed Bandit/012 Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4 11.1 MB
02 Return of the Multi-Armed Bandit/013 Nonstationary Bandits.mp4 7.8 MB
03 Build an Intelligent Tic-Tac-Toe Agent/014 Naive Solution to Tic-Tac-Toe.mp4 6.4 MB
03 Build an Intelligent Tic-Tac-Toe Agent/015 Components of a Reinforcement Learning System.mp4 13.3 MB
03 Build an Intelligent Tic-Tac-Toe Agent/016 Notes on Assigning Rewards.mp4 4.4 MB
03 Build an Intelligent Tic-Tac-Toe Agent/017 The Value Function and Your First Reinforcement Learning Algorithm.mp4 27.4 MB
03 Build an Intelligent Tic-Tac-Toe Agent/018 Tic Tac Toe Code Outline.mp4 5.3 MB
03 Build an Intelligent Tic-Tac-Toe Agent/019 Tic Tac Toe Code Representing States.mp4 4.6 MB
03 Build an Intelligent Tic-Tac-Toe Agent/020 Tic Tac Toe Code Enumerating States Recursively.mp4 10.3 MB

[磁力链接] 添加时间:2017-08-20 大小:621.3 MB 最近下载:2025-09-02 热度:1093

[FreeTutorials.Us] python-for-data-science-and-machine-learning-bootcamp

01 Course Introduction/001 Introduction to the Course.mp4 45.1 MB
01 Course Introduction/002 Course Help and Welcome.mp4 23.2 MB
01 Course Introduction/003 Course FAQs.html 5.7 kB
01 Course Introduction/attached_files/003 Course FAQs/Python-Data-Science-and-Machine-Learning-Bootcamp.zip 139.4 MB
02 Environment Set-Up/004 Environment Set-up and Installation.mp4 29.5 MB
03 Jupyter Overview/005 Jupyter Notebooks.mp4 39.6 MB
03 Jupyter Overview/006 Optional Virtual Environments.mp4 22.8 MB
03 Jupyter Overview/attached_files/005 Jupyter Notebooks/Python-Data-Science-and-Machine-Learning-Bootcamp.zip 139.4 MB
04 Python Crash Course/007 Welcome to the Python Crash Course Section.mp4 11.2 MB
04 Python Crash Course/008 Introduction to Python Crash Course.mp4 3.2 MB
04 Python Crash Course/009 Python Crash Course - Part 1.mp4 42.1 MB
04 Python Crash Course/010 Python Crash Course - Part 2.mp4 33.8 MB
04 Python Crash Course/011 Python Crash Course - Part 3.mp4 37.5 MB
04 Python Crash Course/012 Python Crash Course - Part 4.mp4 34.1 MB
04 Python Crash Course/013 Python Crash Course Exercises - Overview.mp4 12.8 MB
04 Python Crash Course/014 Python Crash Course Exercises - Solutions.mp4 36.1 MB
05 Python for Data Analysis - NumPy/015 Welcome to the NumPy Section.mp4 7.3 MB
05 Python for Data Analysis - NumPy/016 Introduction to Numpy.mp4 5.0 MB
05 Python for Data Analysis - NumPy/017 Numpy Arrays.mp4 40.0 MB
05 Python for Data Analysis - NumPy/018 Quick Note on Array Indexing.html 1.4 kB

[磁力链接] 添加时间:2018-06-28 大小:4.5 GB 最近下载:2025-08-31 热度:80

Recommender Systems and Deep Learning in Python

Recommender Systems and Deep Learning in Python/8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 203.7 MB
Recommender Systems and Deep Learning in Python/8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 175.1 MB
Recommender Systems and Deep Learning in Python/3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.mp4 161.0 MB
Recommender Systems and Deep Learning in Python/5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.mp4 134.8 MB
Recommender Systems and Deep Learning in Python/8. Appendix/10. What order should I take your courses in (part 2).mp4 129.0 MB
Recommender Systems and Deep Learning in Python/8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.0 MB
Recommender Systems and Deep Learning in Python/3. Collaborative Filtering/4. Data Preprocessing.mp4 121.5 MB
Recommender Systems and Deep Learning in Python/6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.mp4 115.4 MB
Recommender Systems and Deep Learning in Python/2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).mp4 111.7 MB
Recommender Systems and Deep Learning in Python/4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.mp4 107.3 MB
Recommender Systems and Deep Learning in Python/4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.mp4 102.1 MB
Recommender Systems and Deep Learning in Python/8. Appendix/9. What order should I take your courses in (part 1).mp4 92.7 MB
Recommender Systems and Deep Learning in Python/5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.mp4 87.0 MB
Recommender Systems and Deep Learning in Python/8. Appendix/6. How to Code by Yourself (part 1).mp4 86.5 MB
Recommender Systems and Deep Learning in Python/8. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
Recommender Systems and Deep Learning in Python/6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.mp4 76.8 MB
Recommender Systems and Deep Learning in Python/5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.mp4 73.8 MB
Recommender Systems and Deep Learning in Python/3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.mp4 72.8 MB
Recommender Systems and Deep Learning in Python/4. Matrix Factorization and Deep Learning/2. Matrix Factorization - First Steps.mp4 72.0 MB
Recommender Systems and Deep Learning in Python/7. Basics Review/2. (Review) Keras Neural Network in Code.mp4 69.4 MB

[磁力链接] 添加时间:2022-01-19 大小:4.4 GB 最近下载:2025-08-31 热度:258

Data Science e Machine Learning com Estatística e Python

13. Redução de Dimensões (Dimensionality Reduction)/2. PCA aplicado no Dataset Iris.mp4 175.1 MB
15. Processamento de Linguagem Natural (PLN) Análise de Sentimentos/7. Frequência de Palavras.mp4 156.6 MB
7. Estatística/7. Frequência Relativa.mp4 150.5 MB
14. Visão Computacional YOLO/3. Utilização do YOLO.mp4 149.5 MB
16. Aprendizagem Reinforçada Taxi Auto-Dirigível/9. Treinando o Agente.mp4 148.4 MB
5. Visualização de Dados/19. catplot, count e heatmap de correlações.mp4 139.1 MB
9. Projeto Regressão Linear (Predição da Idade)/8. Investigando solteiras com pais - Engenharia de Recursos.mp4 131.5 MB
11. Classificação Técnicas Avançadas de ML/27. Curva ROC e AUC.mp4 130.7 MB
6. Time Series/10. DataFrame e time series.mp4 123.7 MB
4. Pandas/19. iterrows - Iterando Linha por LInha.mp4 121.0 MB
15. Processamento de Linguagem Natural (PLN) Análise de Sentimentos/4. Remoção de palavras comuns.mp4 117.3 MB
7. Estatística/10. Medidas de Dispersão - Prática.mp4 116.8 MB
15. Processamento de Linguagem Natural (PLN) Análise de Sentimentos/10. Balanceando dados com resampling.mp4 112.5 MB
16. Aprendizagem Reinforçada Taxi Auto-Dirigível/4. Recriando cenário da figura.mp4 107.1 MB
14. Visão Computacional YOLO/2. Explicação do YOLO.mp4 103.4 MB
16. Aprendizagem Reinforçada Taxi Auto-Dirigível/7. Visualização Iterativa.mp4 103.3 MB
9. Projeto Regressão Linear (Predição da Idade)/6. Extraindo Títulos - Engenharia de Recursos.mp4 102.7 MB
16. Aprendizagem Reinforçada Taxi Auto-Dirigível/10. Avaliando a performance do Agente.mp4 102.6 MB
4. Pandas/18. Engenharia de Recursos.mp4 100.9 MB
5. Visualização de Dados/11. catplot do tipo point.mp4 100.6 MB

[磁力链接] 添加时间:2023-12-26 大小:10.4 GB 最近下载:2025-08-29 热度:89

[FreeCourseWeb] Udemy - Machine Learning Intro for Python Developers

2. First Program (Classifier)/3. First Program (Classifier).mp4 58.1 MB
4. Regression/3. Regression Example.mp4 53.5 MB
5. Clustering/3. Kmeans explained.mp4 50.9 MB
3. Iris Classifier/2. Accuracy Score.mp4 34.3 MB
4. Regression/1. Linear Regression.mp4 34.0 MB
5. Clustering/1. Clustering.mp4 32.8 MB
4. Regression/4. Polynomial Regression.mp4 29.7 MB
3. Iris Classifier/1. Iris Classifier.mp4 27.5 MB
3. Iris Classifier/3. See a Decision Tree.mp4 19.4 MB
1. Introduction/4. Supervised Learning.mp4 15.8 MB
1. Introduction/3. Example Problems.mp4 10.2 MB
1. Introduction/2. What is Machine Learning.mp4 9.4 MB
1. Introduction/1. Introduction.mp4 8.6 MB
5. Clustering/1. Clustering.vtt 6.2 kB
4. Regression/3. Regression Example.vtt 5.9 kB
4. Regression/1. Linear Regression.vtt 5.8 kB
2. First Program (Classifier)/3. First Program (Classifier).vtt 5.7 kB
5. Clustering/3. Kmeans explained.vtt 5.5 kB
4. Regression/4. Polynomial Regression.vtt 5.4 kB
3. Iris Classifier/2. Accuracy Score.vtt 4.4 kB

[磁力链接] 添加时间:2022-04-15 大小:384.1 MB 最近下载:2025-08-29 热度:576

[ FreeCourseWeb.com ] Learning Data Structures & Algorithms in Python from Scratch (Updated).zip

[ FreeCourseWeb.com ] Learning Data Structures & Algorithms in Python from Scratch (Updated).zip 2.6 GB

[磁力链接] 添加时间:2022-02-11 大小:2.6 GB 最近下载:2025-08-27 热度:244

[FreeCourseSite.com] Udemy - Machine Learning, Data Science and Deep Learning with Python

2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.srt 148.5 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 131.2 MB
1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 129.1 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 120.9 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 119.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 117.4 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 115.1 MB
10. Deep Learning and Neural Networks/8. [Activity] Using Tensorflow, Part 2.mp4 113.9 MB

[磁力链接] 添加时间:2021-03-17 大小:8.5 GB 最近下载:2025-08-26 热度:1420

[Tutorialsplanet.NET] Udemy - Learning Python for Data Analysis and Visualization

10. Machine Learning/16. Decision Trees and Random Forests.mp4 252.2 MB
9. Example Projects/17. Data Project - Election Analysis Part 4.mp4 166.6 MB
10. Machine Learning/19. Natural Language Processing Part 3.mp4 156.2 MB
10. Machine Learning/20. Natural Language Processing Part 4.mp4 118.2 MB
10. Machine Learning/18. Natural Language Processing Part 2.mp4 107.0 MB
10. Machine Learning/9. Logistic Regression Part 4.mp4 102.7 MB
9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4 98.5 MB
10. Machine Learning/13. Support Vector Machines - Part 2.mp4 90.0 MB
11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 82.7 MB
10. Machine Learning/5. Linear Regression Part 4.mp4 82.5 MB
10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 77.1 MB
10. Machine Learning/6. Logistic Regression Part 1.mp4 75.3 MB
2. Setup/3. iPythonJupyter Notebook Overview.mp4 72.3 MB
10. Machine Learning/4. Linear Regression Part 3.mp4 72.2 MB
10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 71.1 MB
10. Machine Learning/15. Naive Bayes Part 2.mp4 68.7 MB
10. Machine Learning/12. Support Vector Machines Part 1.mp4 68.1 MB
10. Machine Learning/17. Natural Language Processing Part 1.mp4 65.8 MB
8. Data Visualization/3. Kernel Density Estimate Plots.mp4 64.9 MB
10. Machine Learning/2. Linear Regression Part 1.mp4 61.5 MB

[磁力链接] 添加时间:2021-05-10 大小:4.3 GB 最近下载:2025-08-25 热度:261

[FreeUdemy.Me] Machine Learning A-Z™ Hands-On Python & R In Data Science.zip

[FreeUdemy.Me] Machine Learning A-Z™ Hands-On Python & R In Data Science.zip 7.2 GB

[磁力链接] 添加时间:2017-06-07 大小:7.2 GB 最近下载:2025-08-20 热度:569

[FreeCourseSite.com] Udemy - Deep Learning Recurrent Neural Networks in Python

8. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.5 MB
7. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.1 MB
7. Basics Review/1. (Review) Theano Basics.mp4 98.0 MB
7. Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.3 MB
7. Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
8. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).mp4 55.0 MB
4. Advanced RNN Units/9. Learning from Wikipedia Data in Code (part 1).mp4 51.1 MB
3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.mp4 48.1 MB
8. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.mp4 40.2 MB
8. Appendix/14. What order should I take your courses in (part 2).mp4 39.4 MB
2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.mp4 39.3 MB
8. Appendix/13. What order should I take your courses in (part 1).mp4 30.8 MB
4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).mp4 26.9 MB
4. Advanced RNN Units/2. RRNN in Code - Revisiting Poetry Generation.mp4 26.6 MB
8. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
2. The Simple Recurrent Unit/7. Theano Scan Tutorial.mp4 24.9 MB
4. Advanced RNN Units/11. Visualizing the Word Embeddings.mp4 24.6 MB

[磁力链接] 添加时间:2021-03-08 大小:1.5 GB 最近下载:2025-08-18 热度:1910

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

11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.3 MB
10. Stock Trading Project with Reinforcement Learning/1. Beginners, halt! Stop here if you skipped ahead.mp4 87.8 MB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
8. Approximation Methods/7. Approximation Methods for Control Code.mp4 81.5 MB
2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
5. Dynamic Programming/5. Iterative Policy Evaluation in Code.mp4 71.8 MB
10. Stock Trading Project with Reinforcement Learning/7. Code pt 2.mp4 68.5 MB
6. Monte Carlo/5. Monte Carlo Control in Code.mp4 67.5 MB
1. Welcome/5. Warmup.mp4 65.6 MB
8. Approximation Methods/5. Approximation Methods for Prediction Code.mp4 65.3 MB
4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
5. Dynamic Programming/2. Iterative Policy Evaluation.mp4 63.8 MB
5. Dynamic Programming/10. Policy Iteration in Code.mp4 59.1 MB
4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 58.2 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
4. Markov Decision Proccesses/2. Gridworld.mp4 56.6 MB
10. Stock Trading Project with Reinforcement Learning/9. Code pt 4.mp4 55.5 MB

[磁力链接] 添加时间:2022-01-31 大小:4.4 GB 最近下载:2025-08-17 热度:448

[FreeCourseLab.com] Udemy - Deep Learning Prerequisites Linear Regression in Python

6. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
1. Welcome/1. Welcome.mp4 52.1 MB
6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
6. Appendix/11. What order should I take your courses in (part 2).vtt 39.5 MB
6. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
6. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
6. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
6. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. 1-D Linear Regression Theory and Code/7. Demonstrating Moore's Law in Code.mp4 18.3 MB
4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4 18.1 MB
3. Multiple linear regression and polynomial regression/5. Polynomial regression - extending linear regression (with Python code).mp4 17.2 MB
3. Multiple linear regression and polynomial regression/4. Coding the multi-dimensional solution in Python.mp4 15.6 MB
6. Appendix/6. How to Code by Yourself (part 2).mp4 15.5 MB
2. 1-D Linear Regression Theory and Code/3. Coding the 1-D solution in Python.mp4 15.1 MB

[磁力链接] 添加时间:2021-03-23 大小:987.8 MB 最近下载:2025-08-16 热度:841

[ FreeCourseWeb ] Udemy - Machine Learning Basics- Building Regression Model in Python

6. Linear Regression/18. Ridge regression and Lasso in Python.mp4 164.2 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.9 MB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4 119.3 MB
6. Linear Regression/5. Assessing accuracy of predicted coefficients.mp4 109.5 MB
6. Linear Regression/10. Multiple Linear Regression in Python.mp4 92.4 MB
6. Linear Regression/16. Subset selection techniques.mp4 91.4 MB
5. Data Preprocessing/10. Outlier Treatment in Python.mp4 90.8 MB
2. Basics of Statistics/3. Describing data Graphically.mp4 86.2 MB
5. Data Preprocessing/23. Correlation Analysis.mp4 85.2 MB
3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 84.5 MB
6. Linear Regression/3. Simple Linear Regression in Python.mp4 82.5 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 82.4 MB
5. Data Preprocessing/7. EDD in Python.mp4 78.7 MB
3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 77.3 MB
3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 76.6 MB
5. Data Preprocessing/24. Correlation Analysis in Python.mp4 71.3 MB
6. Linear Regression/8. The F - statistic.mp4 67.2 MB
6. Linear Regression/14. Test train split in Python.mp4 60.6 MB
3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.mp4 59.2 MB
3. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4 56.8 MB

[磁力链接] 添加时间:2021-05-04 大小:2.9 GB 最近下载:2025-08-14 热度:758

Cutting-Edge AI Deep Reinforcement Learning in Python

Cutting-Edge AI Deep Reinforcement Learning in Python.zip 3.4 GB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
Downloaded from Demonoid - www.dnoid.to.txt 56 Bytes
TutsGalaxy.com.txt 53 Bytes

[磁力链接] 添加时间:2021-04-02 大小:3.4 GB 最近下载:2025-08-14 热度:222

[FreeCourseSite.com] Udemy - Machine Learning using Python

1. Introduction/1. Introduction Machine Learning Using Python.mp4 51.1 MB
2. Usage of Machine Learning Packages in Python/1. Installation of Python.mp4 71.9 MB
2. Usage of Machine Learning Packages in Python/2. Example of Machine Learning Using Python.mp4 73.6 MB
2. Usage of Machine Learning Packages in Python/3. Example of Machine Learning Using Python Continues.mp4 36.2 MB
3. Linear Regression/1. Linear Regression in ML.mp4 87.0 MB
3. Linear Regression/2. Linear Regression Example.mp4 67.8 MB
3. Linear Regression/3. Linear Regression Example Continues.mp4 83.6 MB
3. Linear Regression/4. Support Vector Algorithm in ML.mp4 85.5 MB
4. Classifier and Python Package/1. Decision Tree Classifier.mp4 68.2 MB
4. Classifier and Python Package/2. Random Forest Classification.mp4 59.0 MB
4. Classifier and Python Package/3. K Mean Clustering.mp4 70.5 MB
4. Classifier and Python Package/4. Apriori Python Package.mp4 78.1 MB
4. Classifier and Python Package/5. Apriori Python Package Continues.mp4 78.1 MB
5. Evaluation Metrics/1. Evaluation Metrics.mp4 63.3 MB
5. Evaluation Metrics/2. Example of Evaluation Metrics.mp4 102.6 MB
5. Evaluation Metrics/3. Confusion Matix in Evaluation Metrics.mp4 58.3 MB
5. Evaluation Metrics/4. Classification Reports in Evaluation Metrics.mp4 122.5 MB
5. Evaluation Metrics/5. Example of MAE, MSE and Variance using Evaluation Metrics.mp4 78.5 MB
5. Evaluation Metrics/6. Sea Born Example using Evaluation Metrics.mp4 66.6 MB
5. Evaluation Metrics/7. Scatter Matrix using Evaluation Metrics.mp4 35.4 MB

[磁力链接] 添加时间:2018-11-05 大小:1.7 GB 最近下载:2025-08-14 热度:741

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

10/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.4 MB
11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
5. Dynamic Programming/4. Iterative Policy Evaluation in Code.mp4 71.8 MB
9. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4 68.5 MB
1. Welcome/5. Warmup.mp4 65.7 MB
4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
5. Dynamic Programming/9. Policy Iteration in Code.mp4 59.1 MB
4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 58.2 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
4. Markov Decision Proccesses/2. Gridworld.mp4 56.6 MB
9. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4 54.5 MB
2. Return of the Multi-Armed Bandit/1. Section Introduction The Explore-Exploit Dilemma.mp4 54.5 MB
5. Dynamic Programming/10. Policy Iteration in Windy Gridworld.mp4 53.9 MB
2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
2. Return of the Multi-Armed Bandit/24. (Optional) Alternative Bandit Designs.mp4 52.8 MB
9. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4 52.1 MB

[磁力链接] 添加时间:2022-01-22 大小:3.3 GB 最近下载:2025-08-12 热度:972