/flight-price-prediction

A Streamlit ML app for flight price prediction. This one project involves concepts like EDA, Linear, Lasso & Ridge Regression, Kfold, Hyper Parameter Tuning & GridSearchCV. I am constantly building a rich repository of all the information I have on a particular topic as part of my machine learning practice. Very Helpful for ML beginners.

Primary LanguageJupyter Notebook

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