Skip to content

Latest commit

 

History

History
31 lines (26 loc) · 854 Bytes

README.md

File metadata and controls

31 lines (26 loc) · 854 Bytes

FLIGHT PRICE RPEDICTION USING ONLY LINEAR REGRESSION

I have applied numerous supervised machine learning concepts, including:

  • EDA
  • Feature Encoding
  • Feature Scaling
  • Linear, Lasso(L1) & Ridg(L2) Regression
  • Kfold
  • cross val
  • Hyper Parameter Tuning
  • GridSearchCV

As part of my practice, I have created this repository to showcase my knowledge of diverse concepts compiled into mini-projects.

This app is built using Streamlit.

Here are the steps you need to take to set up on your end:

  1. Download or clone the repo on your local machine
  2. Install Requirements
pip install -r requirements.txt
  1. Run the app
streamlit run path/to/app.py/file

🚀 Here is the link to My Kaggle Notebook