Data pre-processing for Machine Learning in Python
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + srt | Duration: 47 lectures (5h 35m) | Size: 2 GB

How to transform a dataset for a machine learning model

How to fill the missings in numerical and categorical variables
How to encode the categorical variables
How to transform the numerical variables
How to scale the numerical variables
Principal Component Analysis and how to use it
How to apply oversampling using SMOTE
How to use several useful objects in scikit-learn library

Basic knowledge of Python programming language

In this course, we are going to focus on pre-processing techniques for machine learning.

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