Applied Data Science using Python
Learn how to use Python in the realm of applied data science. Python leverages specialized libraries like NumPy, pandas, and scikit-learn to aid data science practitioners in solving problems related to regression, sample classification, and clustering.
Presenter: Mikhail Vladimirov, Director of Curriculum Architecture
Related courses:
WA2715 Applied Data Science with Python
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Big Data Training and Courseware
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#datascience #pythonprogramming #scikit
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0:00 Introduction
0:42 Introduction
1:04 Overview of Talk
3:24 Data Science, Machine Learning, AI?
5:32 Data Science Skill Sets Venn Diagram
8:39 Data Analytics Pipeline
13:38 Python Data Science Libraries
16:00 Numpy Select Operations
24:57 Handling Missing Data with pandas
26:35 The scikit-learn Package
28:02 The scikit-learn Estimators
29:58 Data Split for Training and Test Data Sets
33:34 K-Means Example
41:42 Applied Data Science Using Python
