profit estimation of companies with linear regression

This Repository contains scratch implementations of the famous metrics used to evaluate machine learning models.

Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

A machine learning web app for Boston house price prediction.

Machine/Deep Learning metrics implementation in python

Predict sales prices and practice feature engineering, RFs, and gradient boosting

Detailed data analysis followed by predictive analytics of crimes in india over a period of 2001-2013.

Project to predict production quantities for a given dataset using Machine Learning algorithms.

Cross-validation, knn classif, knn régression, svm à noyau, Ridge à noyau

Numerical Methods: "Life Expectancy & Linear Regression" Group Project - 2nd Semester 2021 - Computer Science, UBA

Reduce the time that cars spend on the test bench. Work with a dataset representing different permutations of features in a Mercedes-Benz car to predict the time it takes to pass testing. Optimal algorithms will contribute to faster testing, resulting in lower carbon dioxide emissions without reducing Mercedes-Benz’s standards.

The "Advertising Impact Analysis" project aims to analyze the relationship between advertising expenditure across different channels (such as TV, radio, online) and its impact on sales or revenue.

A Preprocessing, Analytical and Modeling Case Study using Supervised ML Models

To predict people's quality of life

Built a few forecasting models to determine the demand for a particular product.

A demonstration of exploartory data analysis with hypothesis testing.

In the digital music era, understanding artist popularity on Spotify is vital. This project taps into Spotify's data, analyzing key factors driving artist prominence. Through our insights, we illuminate what sets successful artists apart in this dynamic platform.

Perceptron regressing revenue for an ice cream stand according to temperature.

Analytics Vidhya presents “JOB-A-THON” - India's Largest Data Science Hiring Event, where 37,000+ candidates have participated for job roles in over 80+ top companies. You can be among them too! At JOB-A-THON, all Data Science enthusiasts, freshers and professionals will get the opportunity to showcase their skills and get a chance to interview …

A project showcasing the various steps involved in carrying out a basic linear regression task for prediction of a target variable.