The aim of this project to see to do the prediction of the weather using the different types of machine learning model.

A data science challenge where you have to predict the human sentiment scores based on the Headline and the title, and according to the date given and the Social media platforms

Stock and Crypto Price Prediction with TensorFlow, LSTM, Linear Regression and Streamlit

In this regression project, We will make use of different features like age, BMI, region, sex, smoker, etc to predict the medical insurance cost for an individual.

A partir do dataset Real Estate Saint Petersburg 2014 - 2019 encontrado no Kaggle foi realizado um projeto para construir um modelo de regressão para prever preços de imóveis

ML implementations in Multi-scale model for lignin biosynthesis in Populus Trichocarpa

A Machine Learning REGRESSION model to predict the math test score of those who participated in ENEM 2016.

Predict laptop price using XGBRegressor

Worked with Movies Meta Data to predict movies with higher revenue, analyzed the data to detect relationships between different variables impacting movie revenue. 🎬

Explore wind turbine power curve analysis techniques on Gitup. Find algorithms, datasets, and models for optimizing wind energy efficiency. Collaborate and innovate in renewable energy

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.

Superstore Data Analysis

This repository contains the code for a machine learning project that predicts the number of calories burnt based on various factors such as age, weight, height, gender, and physical activity level. The project uses a variety of regression models and data preprocessing techniques to make accurate predictions.

Make prediction of big mart sales data using XGBRegressor machine learning model.

Laptop_Price_Prediction

Student performance

House Prices - Exploratory Data Analysis with Advanced Regression Techniques

In this exploratory data analysis, we compare a dataset which consists of various features about renting of houses available on these renting platforms listed by owners of these houses, and try to derive some constructive conclusions by performing Descriptive statistics of the available features.