[Udemy] ChatGPT для обработки данных и машинного обучения (2023)

磁力链接/BT种子名称

[Udemy] ChatGPT для обработки данных и машинного обучения (2023)

磁力链接/BT种子简介

种子哈希：ea75ff8af93bfdb38bed31b7e3eed6774c9416a2
文件大小： 1.55G
已经下载：12427次
下载速度：极快
收录时间：2023-12-17
最近下载：2025-02-27

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文件列表

  • 5.Car Price Prediction/23.Coding Implementation.mp4 144.1 MB
  • 7.Customer Segmentation/27.Coding Implementation.mp4 122.2 MB
  • 6.Wine Quality Prediction/25.Coding Implementation.mp4 98.0 MB
  • 2.Machine Learning Fundamentals/10.KNN.mp4 82.9 MB
  • 2.Machine Learning Fundamentals/9.Logistic Regression.mp4 78.4 MB
  • 2.Machine Learning Fundamentals/15.GridSearch CV.mp4 77.6 MB
  • 2.Machine Learning Fundamentals/12.Decision Tree.mp4 77.3 MB
  • 2.Machine Learning Fundamentals/14.K Means Clustering.mp4 69.3 MB
  • 3.Data Visualization/19.Seaborn.mp4 67.0 MB
  • 2.Machine Learning Fundamentals/11.SVM.mp4 66.8 MB
  • 2.Machine Learning Fundamentals/7.Regression Analysis.mp4 58.1 MB
  • 2.Machine Learning Fundamentals/8.Linear Regression.mp4 54.8 MB
  • 2.Machine Learning Fundamentals/13.Random Forest.mp4 50.7 MB
  • 3.Data Visualization/18.Different type of plots in Matplotlib.mp4 49.5 MB
  • 2.Machine Learning Fundamentals/16.Machine Learning Model Evaluation Metrics.mp4 47.3 MB
  • 2.Machine Learning Fundamentals/2.Introduction to Machine Learning.mp4 38.4 MB
  • 2.Machine Learning Fundamentals/5.Machine Learning Life Cycle.mp4 38.0 MB
  • 2.Machine Learning Fundamentals/3.Supervised Machine Learning.mp4 35.5 MB
  • 1.Introduction/1.Introduction and Key Learning Outcomes.mp4 32.4 MB
  • 3.Data Visualization/17.Introduction to Matplotlib.mp4 30.9 MB
  • 4.Introduction to ChatGPT/20.Introduction to ChatGPT.mp4 28.8 MB
  • 2.Machine Learning Fundamentals/4.Unsupervised Machine Learning.mp4 23.7 MB
  • 4.Introduction to ChatGPT/21.Introduction to ChatGPT Practical.mp4 19.0 MB
  • 5.Car Price Prediction/23.Coding Implementation.mp3 17.7 MB
  • 2.Machine Learning Fundamentals/6.Train Test Split.mp4 15.3 MB
  • 7.Customer Segmentation/27.Coding Implementation.mp3 15.1 MB
  • 6.Wine Quality Prediction/24.Understanding the Problem Statement.mp4 15.0 MB
  • 7.Customer Segmentation/26.Understanding the Problem Statement.mp4 14.5 MB
  • 6.Wine Quality Prediction/25.Coding Implementation.mp3 14.4 MB
  • 2.Machine Learning Fundamentals/15.GridSearch CV.mp3 12.8 MB
  • 2.Machine Learning Fundamentals/11.SVM.mp3 11.8 MB
  • 3.Data Visualization/19.Seaborn.mp3 11.1 MB
  • 2.Machine Learning Fundamentals/9.Logistic Regression.mp3 10.6 MB
  • 2.Machine Learning Fundamentals/12.Decision Tree.mp3 10.5 MB
  • 2.Machine Learning Fundamentals/8.Linear Regression.mp3 10.3 MB
  • 2.Machine Learning Fundamentals/14.K Means Clustering.mp3 10.1 MB
  • 2.Machine Learning Fundamentals/10.KNN.mp3 10.0 MB
  • 3.Data Visualization/18.Different type of plots in Matplotlib.mp3 9.6 MB
  • 5.Car Price Prediction/22.Understanding the Problem Statement.mp4 9.5 MB
  • 2.Machine Learning Fundamentals/13.Random Forest.mp3 7.5 MB
  • 2.Machine Learning Fundamentals/16.Machine Learning Model Evaluation Metrics.mp3 7.1 MB
  • 2.Machine Learning Fundamentals/7.Regression Analysis.mp3 6.6 MB
  • 2.Machine Learning Fundamentals/2.Introduction to Machine Learning.mp3 6.4 MB
  • 2.Machine Learning Fundamentals/5.Machine Learning Life Cycle.mp3 5.5 MB
  • 3.Data Visualization/17.Introduction to Matplotlib.mp3 4.3 MB
  • 2.Machine Learning Fundamentals/3.Supervised Machine Learning.mp3 4.3 MB
  • 4.Introduction to ChatGPT/20.Introduction to ChatGPT.mp3 4.1 MB
  • 2.Machine Learning Fundamentals/6.Train Test Split.mp3 3.3 MB
  • 2.Machine Learning Fundamentals/4.Unsupervised Machine Learning.mp3 3.2 MB
  • 6.Wine Quality Prediction/24.Understanding the Problem Statement.mp3 2.7 MB
  • 4.Introduction to ChatGPT/21.Introduction to ChatGPT Practical.mp3 2.6 MB
  • 7.Customer Segmentation/26.Understanding the Problem Statement.mp3 2.5 MB
  • 1.Introduction/1.Introduction and Key Learning Outcomes.mp3 2.4 MB
  • 5.Car Price Prediction/22.Understanding the Problem Statement.mp3 1.9 MB
  • 4.Introduction to ChatGPT/20.Introduction to ChatGPT.pptx 1.3 MB
  • 2.Machine Learning Fundamentals/14.K Means Clustering Algorithm.pptx 602.6 kB
  • 2.Machine Learning Fundamentals/11.Support Vector Machine.pptx 568.1 kB
  • 2.Machine Learning Fundamentals/7.Regression Analysis.pptx 554.0 kB
  • 7.Customer Segmentation/26.Customer Segmentation using K means Clustering.pptx 533.9 kB
  • 2.Machine Learning Fundamentals/10.K Nearest Neighbors.pptx 532.3 kB
  • 2.Machine Learning Fundamentals/2.Introduction to Machine Learning.pptx 518.9 kB
  • 2.Machine Learning Fundamentals/15.GridSearchCV.pptx 498.9 kB
  • 6.Wine Quality Prediction/24.Wine Quality Prediction.pptx 492.0 kB
  • 2.Machine Learning Fundamentals/12.Decision Tree.pptx 474.5 kB
  • 5.Car Price Prediction/22.Car Price Prediction.pptx 467.1 kB
  • 2.Machine Learning Fundamentals/6.Train Test Split.pptx 453.7 kB
  • 2.Machine Learning Fundamentals/9.Logistic Regression.pptx 414.9 kB
  • 2.Machine Learning Fundamentals/13.Random Forest.pptx 410.5 kB
  • 2.Machine Learning Fundamentals/4.Unsupervised Machine Learning.pptx 409.8 kB
  • 1.Introduction/Introduction.pptx 381.4 kB
  • 2.Machine Learning Fundamentals/3.Supervised Machine Learning.pptx 373.6 kB
  • 2.Machine Learning Fundamentals/8.Linear Regression.pptx 368.8 kB
  • 6.Wine Quality Prediction/25.winequality red.csv 101.0 kB
  • 6.Wine Quality Prediction/25.Wine Quality Prediction.ipynb 92.5 kB
  • 7.Customer Segmentation/27.Customer Segmentation.ipynb 61.8 kB
  • 5.Car Price Prediction/23.Car Price Prediction.ipynb 42.9 kB
  • 5.Car Price Prediction/23.Coding Implementation.vtt 19.1 kB
  • 5.Car Price Prediction/23.car data.csv 17.2 kB
  • 7.Customer Segmentation/27.Coding Implementation.vtt 17.0 kB
  • 6.Wine Quality Prediction/25.Coding Implementation.vtt 15.1 kB
  • 2.Machine Learning Fundamentals/10.KNN.vtt 14.6 kB
  • 2.Machine Learning Fundamentals/11.SVM.vtt 14.5 kB
  • 2.Machine Learning Fundamentals/14.K Means Clustering.vtt 13.1 kB
  • 3.Data Visualization/19.Seaborn.vtt 12.8 kB
  • 2.Machine Learning Fundamentals/12.Decision Tree.vtt 12.7 kB
  • 2.Machine Learning Fundamentals/15.GridSearch CV.vtt 12.5 kB
  • 2.Machine Learning Fundamentals/9.Logistic Regression.vtt 11.9 kB
  • 2.Machine Learning Fundamentals/8.Linear Regression.vtt 11.6 kB
  • 2.Machine Learning Fundamentals/9.User Data.csv 10.9 kB
  • 2.Machine Learning Fundamentals/16.Machine Learning Model Evaluation Metrics.vtt 10.2 kB
  • 2.Machine Learning Fundamentals/7.Regression Analysis.vtt 9.9 kB
  • 3.Data Visualization/18.Different type of plots in Matplotlib.vtt 8.9 kB
  • 2.Machine Learning Fundamentals/2.Introduction to Machine Learning.vtt 8.6 kB
  • 2.Machine Learning Fundamentals/13.Random Forest.vtt 8.3 kB
  • 2.Machine Learning Fundamentals/5.Machine Learning Life Cycle.vtt 7.3 kB
  • 2.Machine Learning Fundamentals/3.Supervised Machine Learning.vtt 6.1 kB
  • 4.Introduction to ChatGPT/20.Introduction to ChatGPT.vtt 5.5 kB
  • 2.Machine Learning Fundamentals/14.Mall_Customers.csv 4.8 kB
  • 3.Data Visualization/17.Introduction to Matplotlib.vtt 4.6 kB
  • 2.Machine Learning Fundamentals/6.Train Test Split.vtt 4.6 kB
  • 2.Machine Learning Fundamentals/4.Unsupervised Machine Learning.vtt 4.1 kB
  • 7.Customer Segmentation/27.Mall Customers.csv 4.0 kB
  • 6.Wine Quality Prediction/24.Understanding the Problem Statement.vtt 3.7 kB
  • 1.Introduction/1.Introduction and Key Learning Outcomes.vtt 3.6 kB
  • 7.Customer Segmentation/26.Understanding the Problem Statement.vtt 3.4 kB
  • 4.Introduction to ChatGPT/21.Introduction to ChatGPT Practical.vtt 3.3 kB
  • 5.Car Price Prediction/22.Understanding the Problem Statement.vtt 2.8 kB
  • 2.Machine Learning Fundamentals/8.Salary_Data.csv 454 Bytes

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