learning python -移花宫 -武林禁地，闲人禁止入内

[FreeCourseSite.com] Udemy - Bayesian Machine Learning in Python AB Testing

8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.5 MB
9. 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
5. Bayesian AB Testing/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.5 MB
4. Traditional AB Testing/14. Z-Test Code (pt 1).mp4 71.2 MB
5. Bayesian AB Testing/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.9 MB
5. Bayesian AB Testing/12. UCB1 Theory.mp4 58.5 MB
2. The High-Level Picture/2. What is Bayesian Machine Learning.mp4 57.3 MB
3. Bayes Rule and Probability Review/11. Probability Review in Code.mp4 57.0 MB
5. Bayesian AB Testing/1. Section Introduction The Explore-Exploit Dilemma.mp4 54.8 MB
5. Bayesian AB Testing/24. (Optional) Alternative Bandit Designs.mp4 54.5 MB
4. Traditional AB Testing/9. Hypothesis Testing - The API Approach.mp4 50.5 MB
7. Practice Makes Perfect/3. The most important quiz of all - Obtaining an infinite amount of practice.mp4 49.4 MB
5. Bayesian AB Testing/2. Applications of the Explore-Exploit Dilemma.srt 49.4 MB
5. Bayesian AB Testing/2. Applications of the Explore-Exploit Dilemma.mp4 49.3 MB
5. Bayesian AB Testing/19. Thompson Sampling With Gaussian Reward Theory.mp4 49.2 MB
4. Traditional AB Testing/17. Classical AB Testing Section Summary.mp4 48.5 MB
5. Bayesian AB Testing/8. Comparing Different Epsilons.mp4 46.1 MB
8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
1. Introduction and Outline/3. How to succeed in this course.mp4 45.9 MB
3. Bayes Rule and Probability Review/6. Maximum Likelihood Estimation - Bernoulli.mp4 45.9 MB

[磁力链接] 添加时间:2021-04-04 大小:2.9 GB 最近下载:2025-07-30 热度:486

Data Science Supervised Machine Learning in Python

Data Science Supervised Machine Learning in Python.zip 906.5 MB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
TutsGalaxy.com.txt 52 Bytes

[磁力链接] 添加时间:2021-04-03 大小:906.5 MB 最近下载:2025-10-22 热度:1952

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

[FreeCourseLab.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python

1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4 60.6 MB
7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4 52.6 MB
10. AutoEncoders/5. Stacked Autoencoder.mp4 46.1 MB
5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4 42.5 MB
9. Miscellaneous Topics/6. Tensorboard.mp4 41.9 MB
10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4 37.6 MB
8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4 37.3 MB
8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4 36.8 MB
7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4 36.6 MB
8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4 35.7 MB
8. Recurrent Neural Networks/16. Word2Vec Part Two.mp4 35.0 MB
9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4 34.5 MB
4. Crash Course Overview/2. NumPy Crash Course.mp4 34.1 MB
6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 33.5 MB
3. What is Machine Learning/1. Machine Learning Overview.mp4 31.9 MB

[磁力链接] 添加时间:2021-04-02 大小:2.4 GB 最近下载:2025-05-09 热度:118

[FreeCourseSite.com] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python

10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Hidden Markov Models for Discrete Observations/11. Discrete HMM in Code.mp4 49.7 MB
6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4 49.0 MB
6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp4 47.6 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 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 39.5 MB
5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 32.2 MB
10. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
4. Hidden Markov Models for Discrete Observations/13. Discrete HMM Updates in Code with Scaling.mp4 30.6 MB
3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.mp4 28.2 MB
5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.mp4 27.2 MB
10. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4 25.6 MB
5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.mp4 24.9 MB
5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.mp4 24.2 MB
5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.mp4 23.9 MB
6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.mp4 23.6 MB
4. Hidden Markov Models for Discrete Observations/4. The Forward-Backward Algorithm.mp4 23.5 MB

[磁力链接] 添加时间:2021-04-02 大小:1.2 GB 最近下载:2025-11-04 热度:1760

[Tutorialsplanet.NET] 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.srt 116.8 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

[磁力链接] 添加时间:2021-04-02 大小:5.5 GB 最近下载:2025-07-22 热度:544

[Udemy] Python for Data Science and Machine Learning Bootcamp (2020) [En]

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 116.8 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:2021-04-02 大小:6.0 GB 最近下载:2025-11-02 热度:1288

Egghead - Introductory Machine Learning Algorithms in Python with scikit-learn [AhLaN]

05-Implement a Naive Bayes Classifier in Python and Scikit-learn to Categorize Text.mp4 16.9 MB
06-Implement Decision Trees in Python with Scikit-learn.mp4 16.6 MB
01-Use Linear Regression To Estimate Continuous Values with Python and Scikit-learn.mp4 14.0 MB
02-Predict Categories in Python using Scikit-learn's Logistic Regression module.mp4 12.4 MB
04-Use K-nearest Neighbors To Find Similar Datapoints with Python and Scikit-learn.mp4 11.3 MB
07-Find Clusters of Data with K-means Clustering in Python and Scikit-learn.mp4 9.0 MB
03-Use Support Vector Machines To Find Complex Decision Boundaries with Scikit-learn.mp4 8.2 MB
Seed Me!!.png 43.1 kB
AhLaN.txt 961 Bytes

[磁力链接] 添加时间:2021-04-02 大小:88.4 MB 最近下载:2025-10-30 热度:3226

[FreeCourseSite.com] Udemy - Python para Data Science e Machine Learning - COMPLETO

17. Regressão Logística/6. Regressão logística com Python - Solução.mp4 71.3 MB
7. Python para análise de dados - Exercícios Pandas/2. Soluções - Salários SF.mp4 69.5 MB
13. Projetos de análise de dados/7. Análise de dados do mercado financeiro - Parte 2.mp4 63.5 MB
15. Regressões lineares/5. Regressões lineares - Solução projeto.mp4 63.2 MB
13. Projetos de análise de dados/3. Ligações para 911 - Parte 1.mp4 63.1 MB
24. Processamento de linguagem natural/6. NLP com Python - Soluções.mp4 59.7 MB
18. K Nearest Neighbors (KNNs)/4. KNN - Solução Projeto.mp4 54.9 MB
7. Python para análise de dados - Exercícios Pandas/4. Soluções Compras de Ecomerce.mp4 54.0 MB
13. Projetos de análise de dados/4. Ligações para 911 - Parte 2.mp4 51.0 MB
9. Python para visualização de dados - Seaborn/2. Plots de distribuição.mp4 50.3 MB
24. Processamento de linguagem natural/3. NLP com Python - Parte 2.mp4 49.8 MB
20. Support Vector Machines (SVMs)/2. SVM com Python.mp4 48.4 MB
21. K Means Clustering/4. K Means - Solução Projeto.mp4 47.6 MB
12. Python para visualização de dados - Plots geográficos/2. Mapas Choropleth - Parte 1 - USA.mp4 45.6 MB
24. Processamento de linguagem natural/4. NLP com Python - Parte 3.mp4 44.6 MB
15. Regressões lineares/2. Regressões lineares com Python - Parte 1.mp4 44.6 MB
17. Regressão Logística/3. Regressão logística com Python - Parte 2.mp4 44.1 MB
13. Projetos de análise de dados/6. Análise de dados do mercado financeiro - Parte 1.mp4 44.0 MB
9. Python para visualização de dados - Seaborn/5. Plots de regressão.mp4 43.4 MB
25. Big Data e Spark com Python/5. Configurando uma instância EC2 no AWS.mp4 42.9 MB

[磁力链接] 添加时间:2021-04-02 大小:3.0 GB 最近下载:2025-10-21 热度:656

[Tutorialsplanet.NET] Udemy - Bayesian Machine Learning in Python AB Testing

7. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.5 MB
8. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Traditional AB Testing/9. CTR AB Test in Code.mp4 59.7 MB
2. The High-Level Picture/2. What is Bayesian Machine Learning.mp4 57.3 MB
6. Practice Makes Perfect/6. The most important quiz of all - Obtaining an infinite amount of practice.mp4 52.4 MB
7. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
3. Bayes Rule and Probability Review/6. Maximum Likelihood Estimation - Bernoulli.mp4 45.9 MB
5. Bayesian AB Testing/2. More about the Explore-Exploit Dilemma.mp4 45.9 MB
3. Bayes Rule and Probability Review/3. Calculating Probabilities - Practice.mp4 43.8 MB
3. Bayes Rule and Probability Review/8. Maximum Likelihood Estimation - Gaussian (pt 1).mp4 42.9 MB
9. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
2. The High-Level Picture/1. Real-World Examples of AB Testing.mp4 40.4 MB
10. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
9. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.5 MB
3. Bayes Rule and Probability Review/9. Maximum Likelihood Estimation - Gaussian (pt 2).mp4 33.6 MB
1. Introduction and Outline/2. Where to get the code for this course.mp4 31.9 MB
9. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.7 MB
1. Introduction and Outline/1. What's this course all about.mp4 30.7 MB
3. Bayes Rule and Probability Review/5. The Monty Hall Problem.mp4 29.4 MB
1. Introduction and Outline/3. How to succeed in this course.mp4 29.3 MB

[磁力链接] 添加时间:2021-04-01 大小:1.5 GB 最近下载:2024-04-11 热度:660

[Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Linear Regression in Python

6. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
1. Welcome/4. Anyone Can Succeed in this Course.mp4 88.1 MB
7. 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
1. Welcome/5. Statistics vs. Machine Learning.mp4 58.2 MB
1. Welcome/1. Welcome.mp4 52.1 MB
6. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
8/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
9. Appendix FAQ Finale/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
8/4. Machine Learning and AI Prerequisite Roadmap (pt 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
8/3. Machine Learning and AI Prerequisite Roadmap (pt 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
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. 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/9. Moore's Law Derivation.mp4 21.2 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
8/1. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. 1-D Linear Regression Theory and Code/8. Demonstrating Moore's Law in Code.mp4 18.4 MB
4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4 18.1 MB

[磁力链接] 添加时间:2021-04-01 大小:1.2 GB 最近下载:2025-10-22 热度:552

Python for Data Science and Machine Learning Bootcamp [UDEMY]

26 Neural Nets and Deep Learning/135 TensorFlow Installation.mp4 96.4 MB
25 Big Data and Spark with Python/125 EC2 Instance Set-Up.mp4 90.7 MB
18 K Nearest Neighbors/094 KNN Project Solutions.mp4 74.3 MB
25 Big Data and Spark with Python/130 RDD Transformations and Actions.mp4 74.2 MB
25 Big Data and Spark with Python/127 PySpark Setup.mp4 74.0 MB
11 Python for Data Visualization - Plotly and Cufflinks/059 Plotly and Cufflinks.mp4 65.6 MB
09 Python for Data Visualization - Seaborn/047 Distribution Plots.mp4 64.7 MB
13 Data Capstone Project/071 Finance Project - Solutions Part 1.mp4 63.4 MB
13 Data Capstone Project/068 911 Calls Solutions - Part 2.mp4 61.7 MB
24 Natural Language Processing/118 NLP Project Solutions.mp4 60.5 MB
21 K Means Clustering/107 K Means Project Solutions.mp4 59.5 MB
26 Neural Nets and Deep Learning/139 MNIST with Multi-Layer Perceptron - Part 3.mp4 59.5 MB
15 Linear Regression/083 Linear Regression Project Solution.mp4 59.2 MB
20 Support Vector Machines/101 Support Vector Machines with Python.mp4 58.9 MB
13 Data Capstone Project/072 Finance Project - Solutions Part 2.mp4 58.6 MB
12 Python for Data Visualization - Geographical Plotting/061 Choropleth Maps - Part 1 - USA.mp4 57.6 MB
18 K Nearest Neighbors/092 KNN with Python.mp4 57.3 MB
26 Neural Nets and Deep Learning/142 Tensorflow Project Exercise - Solutions.mp4 55.3 MB
15 Linear Regression/080 Linear Regression with Python - Part 1.mp4 54.8 MB
07 Python for Data Analysis - Pandas Exercises/038 Ecommerce Purchases Exercise Solutions.mp4 54.5 MB

[磁力链接] 添加时间:2021-04-01 大小:4.2 GB 最近下载:2025-06-25 热度:136

[ FreeCourseWeb.com ] Udemy - Ultimate Neural Nets and Deep Learning Masterclass in Python.zip

[ FreeCourseWeb.com ] Udemy - Ultimate Neural Nets and Deep Learning Masterclass in Python.zip 855.0 MB

[磁力链接] 添加时间:2021-04-01 大小:855.0 MB 最近下载:2025-07-24 热度:325

2021 Python for Machine Learning & Data Science Masterclass

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/29. Pandas Project Exercise Solutions.mp4 190.4 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/16. Logistic Regression Project Exercise - Solutions.mp4 176.6 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/8. Data Analysis and Visualization Capstone Project Exercise/4. Capstone Project Solutions - Part Three.mp4 150.9 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/11. Feature Engineering and Data Preparation/3. Dealing with Outliers.mp4 147.9 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/17. Random Forests/7. Coding Classification with Random Forest Classifier - Part Two.mp4 145.8 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/16. Tree Based Methods Decision Tree Learning/8. Coding Decision Trees - Part Two -Creating the Model.mp4 143.0 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/27. Pandas Pivot Tables.mp4 135.0 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/2. Scatterplots with Seaborn.mp4 134.9 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/11. Feature Engineering and Data Preparation/5. Dealing with Missing Data Part Two - Filling or Dropping data based on Rows.mp4 131.3 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/6. Matplotlib/11. Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/11. Feature Engineering and Data Preparation/6. Dealing with Missing Data Part 3 - Fixing data based on Columns.mp4 128.7 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/8. Data Analysis and Visualization Capstone Project Exercise/2. Capstone Project Solutions - Part One.mp4 122.6 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/16. Tree Based Methods Decision Tree Learning/7. Coding Decision Trees - Part One - The Data.mp4 120.7 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/5. DataFrames - Part One - Creating a DataFrame.mp4 119.6 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/14. KNN - K Nearest Neighbors/4. KNN Coding with Python - Part Two - Choosing K.mp4 117.8 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/8. Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4 116.6 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/8. Data Analysis and Visualization Capstone Project Exercise/3. Capstone Project Solutions - Part Two.mp4 116.4 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/14. Multi-Class Classification with Logistic Regression - Part Two - Model.mp4 116.4 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/14. Seaborn Plot Exercises Solutions.mp4 116.0 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/14. KNN - K Nearest Neighbors/6. KNN Classification Project Exercise Solutions.mp4 115.1 MB

[磁力链接] 添加时间:2021-03-31 大小:11.4 GB 最近下载:2025-11-02 热度:3011

[FreeCourseLab.me] Udemy - Python required for Data Science and Machine Learning 2020

6. Python Basics V/2. Topic 2.mp4 83.6 MB
8. Exploratory Data Analysis/2. Case Study - Topic 2.mp4 65.1 MB
6. Python Basics V/1. Topic 1.mp4 63.6 MB
3. Python Basics II/4. Topic 4.mp4 48.7 MB
7. Visualization Tools/2. Matplotlib - Topic 2.mp4 41.8 MB
5. Python Basics IV/1. Topic 1.mp4 34.9 MB
5. Python Basics IV/4. Topic 4.mp4 32.9 MB
3. Python Basics II/3. Topic 3.mp4 28.4 MB
1. Introduction/3. What is Machine Learning and Data Science.mp4 28.3 MB
5. Python Basics IV/2. Topic 2.mp4 27.4 MB
3. Python Basics II/2. Topic 2.mp4 26.7 MB
2. Python Basic I/4. Topic 2.mp4 22.3 MB
2. Python Basic I/2. Installation.mp4 21.3 MB
7. Visualization Tools/3. Seaborn- Topic 1.mp4 18.8 MB
5. Python Basics IV/3. Topic 3.srt 18.0 MB
5. Python Basics IV/3. Topic 3.mp4 18.0 MB
4. Python Basics III/1. Topic 1.mp4 17.0 MB
7. Visualization Tools/7. Seaborn- Topic 5.mp4 16.8 MB
4. Python Basics III/4. Topic 4.mp4 15.1 MB
8. Exploratory Data Analysis/1. Case Study - Topic 1.mp4 14.6 MB

[磁力链接] 添加时间:2021-03-31 大小:750.4 MB 最近下载:2022-04-18 热度:100

[ FreeCourseWeb.com ] Udemy - Python Crash Course for Data Science and Machine Learning.zip

[ FreeCourseWeb.com ] Udemy - Python Crash Course for Data Science and Machine Learning.zip 391.1 MB

[磁力链接] 添加时间:2021-03-30 大小:391.1 MB 最近下载:2025-09-05 热度:810

[Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Logistic Regression in Python

8. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
9. Extra Help With Python Coding for Beginners/4. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3/2. Define the multi-dimensional problem and derive the solution.mp4 63.2 MB
1. Start Here/3. Statistics vs. Machine Learning.mp4 58.4 MB
8. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
10. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
11. Appendix FAQ/2. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.7 MB
10. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.5 MB
10. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.8 MB
1. Start Here/2. How to Succeed in this Course.mp4 29.3 MB
4. Practical concerns/8. The donut problem.mp4 25.9 MB
2/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
9. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 1).mp4 25.7 MB
6. Project Facial Expression Recognition/5. Facial Expression Recognition in Code.mp4 25.2 MB
4. Practical concerns/10. Why Divide by Square Root of D.mp4 24.6 MB
7. Background Review/1. Gradient Descent Tutorial.mp4 23.9 MB
6. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
2/9. Moore's Law Derivation.mp4 21.2 MB
2/5. Determine how good the model is - r-squared.mp4 20.7 MB
2/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB

[磁力链接] 添加时间:2021-03-29 大小:1.2 GB 最近下载:2025-09-07 热度:772

[GigaCourse.com] 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 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/14. 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 49.4 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:2021-03-29 大小:6.4 GB 最近下载:2025-09-24 热度:769

[Tutorialsplanet.NET] Udemy - Data Science Supervised Machine Learning in Python

9. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).mp4 84.1 MB
10. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).mp4 52.5 MB
9. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.mp4 46.1 MB
11. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
12. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
11. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.4 MB
2. K-Nearest Neighbor/7. Effect of K.mp4 37.6 MB
4. Decision Trees/6. Decision Tree in Code.mp4 31.8 MB
11. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.8 MB
10. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).mp4 25.7 MB
4. Decision Trees/1. Decision Tree Intuition.mp4 21.4 MB
2. K-Nearest Neighbor/3. KNN in Code with MNIST.mp4 18.8 MB
2. K-Nearest Neighbor/1. K-Nearest Neighbor Intuition.mp4 18.4 MB
2. K-Nearest Neighbor/8. KNN Exercise.mp4 17.7 MB
2. K-Nearest Neighbor/9. Suggestion Box.mp4 16.9 MB
6. Practical Machine Learning/5. Sci-Kit Learn.mp4 16.6 MB
3. Naive Bayes and Bayes Classifiers/3. Naive Bayes.mp4 16.5 MB
10. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 2).mp4 15.5 MB

[磁力链接] 添加时间:2021-03-29 大小:1.1 GB 最近下载:2025-05-12 热度:146

[ DevCourseWeb.com ] Udemy - Reinforcement Learning with Python Explained for Beginners.zip

[ DevCourseWeb.com ] Udemy - Reinforcement Learning with Python Explained for Beginners.zip 3.5 GB

[磁力链接] 添加时间:2021-03-29 大小:3.5 GB 最近下载:2025-11-02 热度:428