Part 2 - Loan Default Classification Project | Kaggle | Analysis | Encoding | Outliers | Modelling

Here is the new project on Loan Default classification. In this project, we are going to explore these things:

How to do EDA (Exploratory Data Analysis) using graphs and complex queries?
How to clean the dataset, which involves dealing with missing values, variable encoding, etc?
How to build multiple models in a single line of code?
How to deal with a highly imbalanced dataset?

Check out my other playlist:

1) Deep Learning with TensorFlow

2) Hands-On with OpenCV

3) Image classification with Keras

4) Fake News Detection

5) Data Science Project

Follow me on:

#DataScience
#Datacleaning
#Machinelearning

[obuvenkateshyadav]

nice explanation and good hard work continue next part brother

[dineshkumard]

I am eagerly waiting for the continuation of this video,

[gauravmalik]

Great video, please share some more videos on how to create features.