Learning Python for Data Science Video | EB3FF85BA24D2C829C26375E544BBF50CE329FB1

Learning Python for Data Science Video

Name	Learning Python for Data Science [Video]	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	705.8 MB
Total Files	36
Hash	EB3FF85BA24D2C829C26375E544BBF50CE329FB1

/4.Data Preparation and Manipulation with Pandas/
13.Read in Data Files.mp4	108.4 MB
12.Create DataFrames.mp4	67.4 MB
14.Subsetting DataFrames.mp4	13.2 MB
15.Boolean Indexing in DataFrames.mp4	12.6 MB
16.Summarizing and Grouping Data.mp4	14.9 MB
/1.Beginning the Data Science Journey/
02.What Is Data Science.mp4	29.1 MB
03.Python Data Science Ecosystem.mp4	4.7 MB
01.The Course Overview.mp4	3.8 MB
/2.Introducing Jupyter/
04.Installing Anaconda.mp4	2.7 MB
05.Starting Jupyter.mp4	10.5 MB
06.Basics of Jupyter.mp4	4.2 MB
07.Markdown Syntax.mp4	5.0 MB
/3.Understanding Numerical Operations with NumPy/
08.1D Arrays with NumPy.mp4	14.9 MB
09.2D Arrays with NumPy.mp4	25.1 MB
10.Functions in NumPy.mp4	21.7 MB
11.Random Numbers and Distributions in NumPy.mp4	17.4 MB
/5.Visualizing Data with Matplotlib and Seaborn/
17.Matplotlib Introduction.mp4	23.4 MB
18.Graphs with Matplotlib.mp4	16.4 MB
19.Graphs with Seaborn.mp4	31.3 MB
20.Graphs with Pandas.mp4	21.0 MB
/6.Introduction to Machine Learning and Scikit-learn/
21.Machine Learning.mp4	6.9 MB
22.Types of Machine Learning.mp4	6.4 MB
23.Introduction to Scikit-learn.mp4	7.4 MB
/7.Building Machine Learning Models with Scikit-learn/
24.Linear Regression.mp4	45.5 MB
25.Logistic Regression.mp4	19.5 MB
26.K-Nearest Neighbors.mp4	19.2 MB
27.Decision Trees.mp4	14.1 MB
28.Random Forest.mp4	12.6 MB
29.K-Means Clustering.mp4	9.4 MB
/8.Model Evaluation and Selection/
30.Preparing Data for Machine Learning.mp4	33.6 MB
31.Performance Metrics.mp4	18.7 MB
32.Bias-Variance Tradeoff.mp4	16.1 MB
33.Cross-Validation.mp4	14.4 MB
34.Grid Search.mp4	26.3 MB
35.Wrap Up.mp4	4.6 MB
/Exercise Files/
code_34313.zip	3.2 MB
Total files 36