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?

Meta-data: https://drive.google.com/file/d/1Ti9s8WLhMhtmWZe5OnikXOMFDTqtmQFJ/view?usp=sharing
Data: https://drive.google.com/file/d/1_PC3h-EHh0YHQgGIBHkscZx8lsTrPme6/view?usp=sharing

Check out my other playlist:

1. Deep Learning with TensorFlow
   https://www.youtube.com/watch?v=jmj1ksiDGYM&list=PLtCJhQPz4XPVmfcl60l5XrWfCAp12mFr3

2. Hands-On with OpenCV
   https://www.youtube.com/watch?v=nc_V7DWHWdg&list=PLtCJhQPz4XPWvUF4jU9dv3rQ38dNzNEuu

3. Image classification with Keras
   https://www.youtube.com/watch?v=KBPxEiazBz4&list=PLtCJhQPz4XPUiAnWYPbSVMZC5o_CUO3TS

4. Fake News Detection
   https://www.youtube.com/watch?v=u22Q27glu2I&list=PLtCJhQPz4XPUPUyy4xe2XfL6Hx-Y3Neqb

5. Data Science Project
   https://www.youtube.com/watch?v=ZqI1GSLjW1M&list=PLtCJhQPz4XPU1WvrW7ln2GZVwCsHxVcsw

Follow me on:
My blog: https://www.datasciencenovice.com
GitHub: https://github.com/100ravp
Kaggle: https://www.kaggle.com/sauravprasad
Telegram: https://t.me/datasciencenovice

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#Datacleaning
#Machinelearning

#developer #machine-learning #big-data