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Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
Exemplary, annotated machine learning pipeline for any tabular data problem.
Tutorial on how to perform feature encoding, feature scaling, and missing values imputation using the scikit-learn library
Categorical Feature Encoding using Logistic Regression
Multiple methods to (quickly) encode factor variables, using data.table
churn prediction using machine learning classification models
Source code and public data used for the project 'A machine learning framework for actionable genetic insights discovery: use in triple-negative breast cancer'.
This project analyzes and preprocesses the Online Retail dataset to uncover insights into customer purchasing behaviors, sales trends, and product performance. It includes data cleaning, exploration, and visualization, with the goal of enhancing understanding of online retail dynamics.
4Geeks Academy data science boot camp data preprocessing assignment
This project uses predictive analytics to optimize marketing strategies by forecasting customer subscriptions to term deposits. It involves collecting and preprocessing data, training a model, and assessing its performance. Ongoing evaluation ensures adaptability to changing market dynamics, providing valuable insights for marketing analysis
🔴 Predicting Insurance Claim Amounts 🔴 This project analyzes the Medical Cost Personal Insurance Dataset to understand key factors influencing healthcare expenses. Through data cleaning, visualization, and feature engineering, important patterns in age, BMI, smoking, and region were uncovered.
Obesity severity level prediction based on different features.. these imp features are extracted then trained using polynomial regression
Classification of movies as 'Fresh', 'Rotten', 'Certified-Fresh' using categorical predictors as well as review sentiment. Performed feature encoding and used Decision Tree, Random Forest Classifiers. Tackled class imbalance issues by assigning weights to classes. Used tokenization to generate word vectors for reviews to predict movie status.
This project predicts the likelihood of forest fires in Algeria using machine learning regression techniques based on weather and environmental data. It includes EDA, feature engineering, and model deployment.
Neural network that emulates DGE analysis
A machine learning project that predicts car prices based on a dataset.
Predicting Hotel Booking Cancellation with Machine Learning
Unofficial Pytorch Implementation of 'Uncorrelated feature encoding for faster style transfer'
👩🏻🍳🍽️Restaurant Success Prediction using ML
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