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

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

Student performance

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

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.

Locality Sensitive Hashing (LSH), and different types of collaborative-filtering recommendation systems

App for testing productization & deployment of ML apps

To Estimate the individual medical costs of customers who have bought the health insurance.

3 - Personal Project - Data Cleaning - Price Predictor - Brasília Apartments

This project demonstrates a machine learning approach to predict house prices in California using the California housing dataset from the Seaborn library. The primary goal is to build a robust model that can estimate the median house values based on various features like median income, house age, and geographic location.

Complete algorithm that I developed for the Kaggle competition to predict the price of houses using regression methods with machine learning.

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. 🎬

Forecasting the energy to be produced from the wind based on meteorological factors such as humidity, heat, wind speed, season.