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

KC House Data Analysis

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.

Using Machine Learning Regression Algorithms, Predicting the Energy Used by the Appliance.

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

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

It is the detailed collection of house listings from various cities and regions in Bangladesh, with a specific focus on Dhaka and Chittagong. It encompasses essential details such as location, property type, size, amenities, and pricing.

A powerful stacked ensemble model for income prediction, combining GradientBoosting, AdaBoost, Bagging, Linear Regression, and Decision Trees. Achieves an impressive R² of 0.8761 on the RoS_sample_submission dataset.

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

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

Predict laptop price using XGBRegressor

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

O projeto analisa os investimentos de uma empresa fictícia no YouTube, Facebook e Jornal, identificando os melhores retornos.

Superstore Data Analysis

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.

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.