Data Preparation for Machine Learning Algorithms | Complete Tutorial
In this video, we will cover how to prepare and process your data for machine learning. We will cover the following:
Dealing with missing data
Imputing data with the mean
Dropping rows with missing data
Standardizing your data
Encoding independent variables (One Hot Encoding)
These methods will be used for pretty much any machine learning algorithm you can think of including, but not limited to regression analysis, logistic regression, KNN (k-nearest-neighbor), K-means clustering, support vector machines (SVM) and so much more!
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