profit estimation of companies with linear regression

In this Project we build fingerprint matching system that leverages a Siamese network to achieve accurate and efficient Fingerprint identification. The system consists of three main stages: image preprocessing, feature extraction, and matching.

This project analyzes the sentiment of tweets using natural language processing (NLP). It uses a dataset containing 1.6 million tweets, labeled as positive or negative, to train a machine learning model.

DrugPredictor 💊 is an AI-powered web app built with Django + Machine Learning. It predicts suitable drugs based on a patient's health details like age, sex, BP, cholesterol, and Na/K ratio. Fast, smart, and easy to use! 🚀

This repository contains all the Machine Learning projects I did using different Machine Learning methods. Python being the main software used.

House Price Predictor 🏡 "A machine learning model that predicts house prices based on square footage, number of bedrooms, and bathrooms using Linear Regression. The project includes data preprocessing, model evaluation, and visualization of actual vs. predicted prices."

A simple example of random state in train test split using python

Different modeling techniques like multiple linear regression and random forest, etc. will be used for predicting the cement compressive strength. A comparative analysis will be performed to identify the best model for our prediction in terms of accuracy.

This repository contains a project aimed at predicting Tesla's stock prices using Long Short-Term Memory (LSTM) networks.

Prepare a classification model using Naive Bayes for salary data

3 modelos de classificação para analisar churn de um empresa de telecom e ao final responder a pergunta: Qual modelo teve o melhor desempenho?

An insurance company called "Sure Tomorrow" wants to solve some problems with the help of machine learning. As a Data Science we're Predict the amount of insurance claims that a new client might receive and Protect clients' personal data without breaking the model with masking

Linear Regression Practise

Rusty Bargain is a used car buying and selling company that is developing an app to attract new buyers. My job as data science is to create a model that can determine the market value of a car.

EDA Travel data by PW Skills Data Analytics Course.

A Diabetics Prediction website

Personality Recognition from text using nlp techniques

Predicting The Energy Output Of Wind Turbine Based On Weather Condition DEMO LINK : https://youtu.be/ICfu49Ud2HU

Objective: Address the classification problem behind predicting credit risk

Comparative Analysis of Decision Tree Algorithms in Number Classification: Bagging vs. Random Forest vs. Gradient Boosting Decision Tree Classifiers