utkarshx27 / kaggle-competition

Kaggle Competitions Notebooks

This repository contains my solutions and approaches to various Kaggle competitions. Each notebook is a self-contained solution to a specific competition, detailing the steps taken to preprocess the data, build the model, and evaluate its performance.

Repository Structure

Each competition has its own directory, named after the competition. Inside each directory, you'll find a Jupyter notebook that contains the code and a detailed explanation of the steps taken.

Competitions

Here are some of the competitions included in this repository:

• Feature Imputation with a Heat Flux Dataset
• Explore Multi-Label Classification with an Enzyme Substrate Dataset
• Regression with a Crab Age Dataset
• Binary Classification of Machine Failures
• Forecasting Mini-Course Sales
• Kaggle - LLM Science Exam
• Digit Recognizer

Installation

To run these notebooks, you'll need to have Python and Jupyter installed on your machine. You can install them using pip:

pip install jupyter