The video covers the steps involved in Feature Engineering in Python. Feature Engineering is done to make the data ready for model building so that algorithms can use the data to make effective predictions.
Ways to convert categorical data into numeric in python. One-hot encoding, label encoding, map functions in Pandas are demonstrated to convert object data type into a numeric data type.
Learn how to convert NumPy array into Pandas Series
How to drop null values and concatenate multiple columns into a single data frame.
Theory Videos Feature Engineering:
• What is Feature Engineering in Machin... (Part 1)
• What is Feature Engineering in Machin... (Part 2)
• Feature Engineering Python | What is ... (Part 3 pratical)
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