Machine learning project tutorial-Part 3|Feature Engineering

In this tutorial i have explained the Feature Engineering part in a Machine learning project with Python.The dataset that i have used is the Kaggle Titanic Competition submission. The topics that i have covered in this video are as follows: (i) Continuous features (ii) Categorising features values (iii) Factor Plot (iv) Feature engineering (v) Binning columns (vi) Ordinal values (vii) Converting string into numerical values (viii) Dropping columns in a data frame (ix) Correlation heatmap Kindly subscribe the channel for more videos on Artificial intelligence and Machine learning topics. #machinelearning #pythonprogramming #artificialintelligence