udemy - mathematik data science machine learning -移花宫 -武林禁地，闲人禁止入内

Udemy - Machine Learning, Data Science and Generative AI with Python (1.2025)

13. The OpenAI API (Developing with GPT and ChatGPT)/7. The New OpenAI Fine-Tuning API Fine-Tuning GPT-3.5 to simulate Commander Data!.mp4 334.5 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/4. Activity Evaluating our RAG-based Cdr. Data using RAGAS and langchain.mp4 283.9 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/8. Activity Simulating Cdr. Data with Advanced RAG and langchain.mp4 277.3 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/10. Activity Building a Cdr. Data chatbot with LLM Agents, web search & math tools.mp4 276.6 MB
13. The OpenAI API (Developing with GPT and ChatGPT)/6. Demo Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek.mp4 174.6 MB
11. Generative Models/2. Variational Auto-Encoders (VAE) - Hands-on with Fashion MNIST.mp4 156.1 MB
08. Apache Spark Machine Learning on Big Data/3. Activity Installing Spark.mp4 148.2 MB
08. Apache Spark Machine Learning on Big Data/7. Introduction to Decision Trees in Spark.mp4 140.5 MB
11. Generative Models/5. Generative Adversarial Networks (GAN's) - Hands-on with Fashion MNIST.mp4 132.2 MB
06. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 131.3 MB
05. Recommender Systems/5. Activity Making Movie Recommendations with Item-Based Collaborative Filtering.mp4 130.1 MB
10. Deep Learning and Neural Networks/17. The Ethics of Deep Learning.mp4 126.4 MB
08. Apache Spark Machine Learning on Big Data/8. Activity K-Means Clustering in Spark.mp4 121.8 MB
10. Deep Learning and Neural Networks/14. Activity Transfer Learning.mp4 116.4 MB
10. Deep Learning and Neural Networks/6. Activity Using Tensorflow, Part 1.mp4 112.9 MB
02. Statistics and Probability Refresher, and Python Practice/4. Activity Variation and Standard Deviation.mp4 108.4 MB
01. Getting Started/5. Activity WINDOWS Installing and Using Anaconda & Course Materials.mp4 106.9 MB
02. Statistics and Probability Refresher, and Python Practice/9. Activity Advanced Visualization with Seaborn.mp4 100.8 MB
01. Getting Started/6. Activity MAC Installing and Using Anaconda & Course Materials.mp4 100.4 MB
10. Deep Learning and Neural Networks/7. Activity Using Tensorflow, Part 2.mp4 99.7 MB

[磁力链接] 添加时间:2025-06-14 大小:8.4 GB 最近下载:2025-11-03 热度:1097

Udemy - Data Science Supervised Machine Learning in Python (11.2024)

9 - Setting Up Your Environment FAQ by Student Request/43 - Anaconda Environment Setup.mp4 324.0 MB
9 - Setting Up Your Environment FAQ by Student Request/44 - How to install Numpy Scipy Matplotlib and SciKit Learn.mp4 201.3 MB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/52 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 142.9 MB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/51 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 141.4 MB
10 - Extra Help With Python Coding for Beginners FAQ by Student Request/47 - Proof that using Jupyter Notebook is the same as not using it.mp4 113.7 MB
10 - Extra Help With Python Coding for Beginners FAQ by Student Request/45 - How to Code by Yourself part 1.mp4 98.1 MB
1 - Introduction and Review/3 - Where to get the Code and Data.mp4 64.2 MB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/50 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced.mp4 63.1 MB
4 - Decision Trees/28 - Decision Tree in Code.mp4 55.1 MB
3 - Naive Bayes and Bayes Classifiers/14 - Bayes Classifier Intuition Continuous.mp4 53.1 MB
3 - Naive Bayes and Bayes Classifiers/16 - Naive Bayes.mp4 49.7 MB
12 - Appendix FAQ Finale/54 - BONUS.mp4 45.2 MB
1 - Introduction and Review/1 - Introduction and Outline.mp4 40.8 MB
5 - Perceptrons/31 - Perceptron for MNIST and XOR.mp4 39.9 MB
5 - Perceptrons/29 - Perceptron Concepts.mp4 39.4 MB
3 - Naive Bayes and Bayes Classifiers/19 - NonNaive Bayes.mp4 37.0 MB
6 - Practical Machine Learning/37 - SciKit Learn.mp4 35.2 MB
3 - Naive Bayes and Bayes Classifiers/15 - Bayes Classifier Intuition Discrete.mp4 32.9 MB
2 - KNearest Neighbor/7 - KNN in Code with MNIST.mp4 31.9 MB
10 - Extra Help With Python Coding for Beginners FAQ by Student Request/46 - How to Code by Yourself part 2.mp4 30.7 MB

[磁力链接] 添加时间:2025-07-06 大小:2.2 GB 最近下载:2025-10-19 热度:177

Udemy - Python for Machine Learning & Data Science Masterclass (9.2021)

23 - Hierarchical Clustering/004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4 219.4 MB
05 - Pandas/028 Pandas Project Exercise Solutions.mp4 180.9 MB
13 - Logistic Regression/016 Logistic Regression Project Exercise - Solutions.mp4 169.1 MB
08 - Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three.mp4 144.1 MB
17 - Random Forests/007 Coding Classification with Random Forest Classifier - Part Two.mp4 136.7 MB
19 - Supervised Learning Capstone Project - Cohort Analysis and Tree Based Methods/003 Solution Walkthrough - Supervised Learning Project - Cohort Analysis.mp4 136.5 MB
05 - Pandas/026 Pandas Pivot Tables.mp4 135.4 MB
24 - DBSCAN - Density-based spatial clustering of applications with noise/007 DBSCAN - Outlier Project Exercise Solutions.mp4 134.1 MB
25 - PCA - Principal Component Analysis and Manifold Learning/007 PCA - Project Exercise Solution.mp4 125.3 MB
11 - Feature Engineering and Data Preparation/005 Dealing with Missing Data _ Part Two - Filling or Dropping data based on Rows.mp4 123.3 MB
16 - Tree Based Methods_ Decision Tree Learning/008 Coding Decision Trees - Part Two -Creating the Model.mp4 121.4 MB
23 - Hierarchical Clustering/003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4 120.6 MB
19 - Supervised Learning Capstone Project - Cohort Analysis and Tree Based Methods/004 Solution Walkthrough - Supervised Learning Project - Tree Models.mp4 119.8 MB
07 - Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4 116.7 MB
08 - Data Analysis and Visualization Capstone Project Exercise/002 Capstone Project Solutions - Part One.mp4 116.0 MB
26 - Model Deployment/003 Model Persistence.mp4 115.1 MB
24 - DBSCAN - Density-based spatial clustering of applications with noise/002 DBSCAN - Theory and Intuition.mp4 114.4 MB
22 - K-Means Clustering/011 K-Means Clustering Exercise Solution - Part Two.mp4 113.5 MB
08 - Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4 111.3 MB
19 - Supervised Learning Capstone Project - Cohort Analysis and Tree Based Methods/002 Solution Walkthrough - Supervised Learning Project - Data and EDA.mp4 111.3 MB

[磁力链接] 添加时间:2025-08-02 大小:12.3 GB 最近下载:2025-11-04 热度:346

Udemy - Data Science and Machine Learning Fundamentals [2025] (5.2025)

8 - Text Mining and NLP/13 -Emotion Mining and Sentiment Analysis.mp4 1.1 GB
5 - Master Classification with Machine Learning models/5 -The Decision Tree Classifier.mp4 575.8 MB
4 - Master Regression and Prediction with Machine Learning models/10 -Regression Regularization, Lasso and Ridge models (X).mp4 545.7 MB
6 - Master Cluster Analysis and Unsupervised Learning/3 -Auto-updated K-Means Cluster Analysis, introduction and simulation.mp4 531.9 MB
4 - Master Regression and Prediction with Machine Learning models/11 -Decision Tree Regression models (XI).mp4 499.2 MB
2 - Master Python for data handling/6 -Python Strings and DateTime Objects.mp4 492.4 MB
8 - Text Mining and NLP/6 -The Tokenization Process.mp4 465.7 MB
4 - Master Regression and Prediction with Machine Learning models/12 -Random Forest Regression (XII).mp4 430.5 MB
4 - Master Regression and Prediction with Machine Learning models/9 -Multivariate Polynomial Multiple Regression models (VIIII).mp4 428.7 MB
8 - Text Mining and NLP/7 -Spelling correction and stop words.mp4 428.4 MB
2 - Master Python for data handling/21 -Python Object Oriented Programming IV Recap and More.mp4 425.6 MB
6 - Master Cluster Analysis and Unsupervised Learning/6 -Principal Component Analysis (PCA).mp4 408.2 MB
5 - Master Classification with Machine Learning models/2 -Logistic Regression Classifier.mp4 398.2 MB
5 - Master Classification with Machine Learning models/7 -Linear Discriminant Analysis (LDA) [Extra Video].mp4 383.7 MB
2 - Master Python for data handling/19 -Python Object Oriented Programming II OOP.mp4 355.1 MB
4 - Master Regression and Prediction with Machine Learning models/6 -Linear Multiple Regression model (VI).mp4 354.7 MB
1 - Introduction/4 -The Conda Package Management System (optional).mp4 354.5 MB
2 - Master Python for data handling/1 -Overview.mp4 352.0 MB
6 - Master Cluster Analysis and Unsupervised Learning/4 -Density-Based Spatial Clustering of Applications with Noise (DBSCAN).mp4 350.7 MB
5 - Master Classification with Machine Learning models/6 -The Random Forest Classifier.mp4 347.6 MB

[磁力链接] 添加时间:2025-08-06 大小:24.4 GB 最近下载:2025-11-04 热度:369

Udemy - Machine Learning & Data Science The Complete Visual Guide (6.2025)

04. Preliminary Data QA/9. CASE STUDY Preliminary QA.mp4 160.0 MB
18. Clustering & Segmentation/6. CASE STUDY K-Means.mp4 96.4 MB
13. Regression Modeling 101/8. CASE STUDY Non-Linear Regression.mp4 86.7 MB
09. Classification Models/4. CASE STUDY KNN.mp4 81.8 MB
15. Time-Series Forecasting/6. CASE STUDY Seasonality with One-Hot Encoding.mp4 70.3 MB
15. Time-Series Forecasting/8. CASE STUDY Seasonality with Linear Trend.mp4 62.6 MB
15. Time-Series Forecasting/14. CASE STUDY Intervention Analysis.mp4 61.5 MB
20. Outlier Detection/5. CASE STUDY Cross-Sectional Outlier.mp4 60.2 MB
19. Association Mining & Basket Analysis/8. CASE STUDY Apriori.mp4 50.4 MB
05. Univariate Profiling/10. CASE STUDY Normal Distribution.mp4 48.3 MB
09. Classification Models/21. CASE STUDY Logistic Regression.mp4 41.2 MB
09. Classification Models/14. CASE STUDY Decision Trees.mp4 40.9 MB
09. Classification Models/25. CASE STUDY Sentiment Analysis.mp4 40.5 MB
06. Multivariate Profiling/13. CASE STUDY Correlation.mp4 37.4 MB
06. Multivariate Profiling/3. CASE STUDY Heat Maps.mp4 31.2 MB
13. Regression Modeling 101/5. CASE STUDY Univariate Linear Regression.mp4 30.5 MB
13. Regression Modeling 101/3. Least Squared Error.mp4 29.7 MB
15. Time-Series Forecasting/10. CASE STUDY Smoothing.mp4 25.3 MB
05. Univariate Profiling/8. CASE STUDY Histograms.mp4 24.7 MB
09. Classification Models/8. CASE STUDY Naïve Bayes.mp4 23.4 MB

[磁力链接] 添加时间:2025-08-19 大小:2.1 GB 最近下载:2025-10-30 热度:149

Udemy - Complete Machine Learning & Data Science with Python A-Z (4.2025)

02. Installations for Python/1. Installing Anaconda Distribution for Windows.mp4 128.6 MB
03. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 93.9 MB
02. Installations for Python/3. Installing Anaconda Distribution for Linux.mp4 89.8 MB
07. Logistic Regression Algorithm in Machine Learning A-Z/2. Logistic Regression Algorithm with Python Part 1.mp4 66.8 MB
05. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 60.3 MB
06. Bias Variance Trade-Off in Machine Learning/1. What is Bias Variance Trade-Off.mp4 57.7 MB
05. Linear Regression Algorithm in Machine Learning A-Z/5. Linear Regression Algorithm with Python Part 4.mp4 52.2 MB
05. Linear Regression Algorithm in Machine Learning A-Z/2. Linear Regression Algorithm With Python Part 1.mp4 48.1 MB
02. Installations for Python/2. Installing Anaconda Distribution for MacOs.mp4 48.0 MB
03. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 47.2 MB
07. Logistic Regression Algorithm in Machine Learning A-Z/3. Logistic Regression Algorithm with Python Part 2.mp4 46.9 MB
05. Linear Regression Algorithm in Machine Learning A-Z/4. Linear Regression Algorithm with Python Part 3.mp4 41.7 MB
07. Logistic Regression Algorithm in Machine Learning A-Z/6. Logistic Regression Algorithm with Python Part 5.mp4 41.3 MB
17. Principal Component Analysis (PCA) in Machine Learning A-Z/1. Principal Component Analysis (PCA) Theory.mp4 39.8 MB
13. Support Vector Machine Algorithm in Machine Learning A-Z/2. Support Vector Machine Algorithm with Python Part 1.mp4 34.9 MB
09. K Nearest Neighbors Algorithm in Machine Learning A-Z/3. K Nearest Neighbors Algorithm with Python Part 2.mp4 31.6 MB
10. Hyperparameter Optimization/1. Hyperparameter Optimization Theory.mp4 28.4 MB
08. K-fold Cross-Validation in Machine Learning A-Z/2. K-Fold Cross-Validation with Python.mp4 28.2 MB
11. Decision Tree Algorithm in Machine Learning A-Z/5. Decision Tree Algorithm with Python Part 4.mp4 26.3 MB
16. Hierarchical Clustering Algorithm in machine learning data science/1. Hierarchical Clustering Algorithm Theory.mp4 26.2 MB

[磁力链接] 添加时间:2025-10-08 大小:1.6 GB 最近下载:2025-11-04 热度:57