Python Machine Learning: Projects, Tips and Troubleshooting
Practical solutions to Machine Learning problems, avoiding roadblocks while working with Python data science ecosystem.
3.88 (8 reviews)
107
students
11.5 hours
content
Apr 2019
last update
$19.99
regular price
What you will learn
Use pre-written libraries in python to work with powerful algorithms.
Tips and tricks to speed up your modeling process and obtain better results.
Make predictions using advanced regression analysis with Python.
Modern techniques for solving supervised learning problems.
Build your own recommendation engine and perform collaborative filtering.
Eliminate common data wrangling problems in Pandas and scikit-learn.
Troubleshoot advanced models such as Random Forests and SVMs.
Wrangling with unsupervised learning and the curse of dimensionality.
Solving prediction visualization issues with Matplotlib.
Perform common natural language processing featuring engineering tasks.
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udemy ID
4/17/2019
course created date
8/26/2020
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