Machine learning prediction system for predicting item sales of individual BigMart outlets.

This model helps in predicting the price as per the features of the house using XGBoost Regression algorithm.

College Rank Predictor

Housing price prediction regression model

Predicting the 2024 Stanley Cup champion using machine learning.

comparing Logistic regression, random forest, Decision Tree, XGBoost Algorithm for the use case to predict banks deposit refusal and acceptance depending on the historical data

Regression algorithms to predict the minimum temperature

Supervised ML (Regression) project on bike sharing demand prediction.

This repository contains the source code for a Flight Price Prediction System, It is a machine learning-based web application that enables users to predict the cost of a flight based on their desired travel details. The project has been integrated with both FastAPI and Flask frameworks.

This Python script conducts various data processing, visualization, and modeling tasks on a dataset.

Data Science project No: 1

In this project the task is to predict charges or cost of the person on the basis of his/her lifestyle, smoking habit, number of children's and person's home location.

Goal is to predict the concrete compressive strength using collected data

Xgboost Hyperparameter Tunning Using Optuna

This machine learning challenge is about predicting the loan sanction amount from the customer's basic account transaction details and requested loan amount.

This machine learning project focused on predicting food delivery times. The code emphasizes essential tasks such as data cleaning, feature engineering, categorical feature encoding, data splitting, and standardization to establish a solid foundation for building a robust predictive model.

Repository showcasing a collection of diverse regression analysis projects including salary prediction and more.

🇵🇱🏠 The project predicts an apartment price for Warsaw, Krakow and Poznan. Distributed apartments by districts using geopandas; built XGBoost model with MAPE = 9% (the best of others).