Jovian
Sign In
Learn practical skills, build real-world projects, and advance your career

Course Project - Photo GoodNess predictor

Machine Learning with Python: Zero to GBMs
This project is a part of Machine Learning with Python: Zero to GBMs

Let's begin by installing the required libraries.

You are required to use the training dataset to identify patterns that predict default. Apply the patterns on test dataset to identify “potential” defaulters.

!pip install numpy pandas matplotlib seaborn plotly --quiet
WARNING: You are using pip version 21.1.3; however, version 21.2.4 is available. You should consider upgrading via the 'C:\Anconda\python.exe -m pip install --upgrade pip' command. 
!pip install opendatasets xgboost graphviz lightgbm scikit-learn --upgrade --quiet
WARNING: You are using pip version 21.1.3; however, version 21.2.4 is available. You should consider upgrading via the 'C:\Anconda\python.exe -m pip install --upgrade pip' command.