Learning Python for Data Science [Video]

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种子哈希：eb3ff85ba24d2c829c26375e544bbf50ce329fb1
文档大小：705.8 MB
文档个数：36个文档
下载次数：1728次
下载速度：极快
收录时间：2018-08-03
最近下载：2025-05-12
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文档列表

4.Data Preparation and Manipulation with Pandas/13.Read in Data Files.mp4 108.4 MB
1.Beginning the Data Science Journey/02.What Is Data Science.mp4 29.1 MB
1.Beginning the Data Science Journey/03.Python Data Science Ecosystem.mp4 4.7 MB
2.Introducing Jupyter/04.Installing Anaconda.mp4 2.7 MB
2.Introducing Jupyter/05.Starting Jupyter.mp4 10.5 MB
2.Introducing Jupyter/06.Basics of Jupyter.mp4 4.2 MB
2.Introducing Jupyter/07.Markdown Syntax.mp4 5.0 MB
3.Understanding Numerical Operations with NumPy/08.1D Arrays with NumPy.mp4 14.9 MB
3.Understanding Numerical Operations with NumPy/09.2D Arrays with NumPy.mp4 25.1 MB
3.Understanding Numerical Operations with NumPy/10.Functions in NumPy.mp4 21.7 MB
3.Understanding Numerical Operations with NumPy/11.Random Numbers and Distributions in NumPy.mp4 17.4 MB
4.Data Preparation and Manipulation with Pandas/12.Create DataFrames.mp4 67.4 MB
1.Beginning the Data Science Journey/01.The Course Overview.mp4 3.8 MB
4.Data Preparation and Manipulation with Pandas/14.Subsetting DataFrames.mp4 13.2 MB
4.Data Preparation and Manipulation with Pandas/15.Boolean Indexing in DataFrames.mp4 12.6 MB
4.Data Preparation and Manipulation with Pandas/16.Summarizing and Grouping Data.mp4 14.9 MB
5.Visualizing Data with Matplotlib and Seaborn/17.Matplotlib Introduction.mp4 23.4 MB
5.Visualizing Data with Matplotlib and Seaborn/18.Graphs with Matplotlib.mp4 16.4 MB
5.Visualizing Data with Matplotlib and Seaborn/19.Graphs with Seaborn.mp4 31.3 MB
5.Visualizing Data with Matplotlib and Seaborn/20.Graphs with Pandas.mp4 21.0 MB
6.Introduction to Machine Learning and Scikit-learn/21.Machine Learning.mp4 6.9 MB
6.Introduction to Machine Learning and Scikit-learn/22.Types of Machine Learning.mp4 6.4 MB
6.Introduction to Machine Learning and Scikit-learn/23.Introduction to Scikit-learn.mp4 7.4 MB
7.Building Machine Learning Models with Scikit-learn/24.Linear Regression.mp4 45.5 MB
7.Building Machine Learning Models with Scikit-learn/25.Logistic Regression.mp4 19.5 MB
7.Building Machine Learning Models with Scikit-learn/26.K-Nearest Neighbors.mp4 19.2 MB
7.Building Machine Learning Models with Scikit-learn/27.Decision Trees.mp4 14.1 MB
7.Building Machine Learning Models with Scikit-learn/28.Random Forest.mp4 12.6 MB
7.Building Machine Learning Models with Scikit-learn/29.K-Means Clustering.mp4 9.4 MB
8.Model Evaluation and Selection/30.Preparing Data for Machine Learning.mp4 33.6 MB
8.Model Evaluation and Selection/31.Performance Metrics.mp4 18.7 MB
8.Model Evaluation and Selection/32.Bias-Variance Tradeoff.mp4 16.1 MB
8.Model Evaluation and Selection/33.Cross-Validation.mp4 14.4 MB
8.Model Evaluation and Selection/34.Grid Search.mp4 26.3 MB
8.Model Evaluation and Selection/35.Wrap Up.mp4 4.6 MB
Exercise Files/code_34313.zip 3.2 MB

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