Learning Python for Data Science [Video] -移花宫-武林禁地，闲人禁止入内

Learning Python for Data Science [Video]

磁力链接/BT种子名称

Learning Python for Data Science [Video]

磁力链接/BT种子简介

种子哈希：eb3ff85ba24d2c829c26375e544bbf50ce329fb1
文件大小：673.06M
已经下载：1578次
下载速度：极快
收录时间：2018-08-03
最近下载：2025-09-12

移花宫入口

移花宫.com 邀月.com 怜星.com 花无缺.com yhgbt.icu yhgbt.top

磁力链接下载

magnet:?xt=urn:btih:EB3FF85BA24D2C829C26375E544BBF50CE329FB1
推荐使用PIKPAK网盘下载资源，10TB超大空间，不限制资源，无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接迅雷下载 PIKPAK在线播放世界之窗 91视频含羞草欲漫涩逼哩逼哩成人快手 51品茶抖阴破解版极乐禁地 91短视频抖音Max TikTok成人版 PornHub 听泉鉴鲍少女日记草榴社区哆哔涩漫呦乐园萝莉岛悠悠禁区拔萝卜疯马秀

文件列表

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