Some Data Science examples using Groovy

Este projeto visa identificar transações financeiras fraudulentas usando um conjunto de dados simulado.

This toolkit is a curated collection of machine learning projects, resources, and utilities designed to assist both beginners and seasoned practitioners in their journey through the fascinating world of machine learning.

🏡 House Price Prediction with Machine Learning Project 🤖💰 Seeking to revolutionize the real estate industry with cutting-edge technology? Explore my latest project, where I leveraged machine learning algorithms to predict house prices accurately.

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

Plain python implementations of basic machine learning algorithms

Comprehensive analysis and modeling of the Wine Quality dataset, including exploratory data analysis (EDA), data preprocessing, model training, and performance evaluation using MSE and RMSE.

Explore the H1B Visa data from 2014 through a comprehensive multivariate analysis.

🌈📊📈 The Zillow Home Value Prediction project employs linear regression models on Kaggle datasets to forecast house prices. 📉💰Using Apache Spark (PySpark) within a Docker setup enables efficient data preprocessing, exploration, analysis, visualization, and model building with distributed computing for parallel computation.

Data Science Foundations II | Statistics Fundamentals for Data Science | Simple Linear Regression for Data Science

Python Fundamentals for Data Science (Part II)

The ability to predict prices and features affecting the appraisal of property can be a powerful tool in such a cash intensive market for a lessor. Additionally, a predictor that forecasts the number of reviews a specific listing will get may be helpful in examining elements that affect a property's popularity.

Fast-API base StockSeer-API uses different machine learning alogs to forecast closing stock prices.

Prediction of loan status based on training ML models on historical data and predict status, complete with thorough Data Visualization and Exploratory Data analysis

Toolkit for Data Science & Statistics

This repository contains a project I completed for an NTU course titled CB4247 Statistics & Computational Inference to Big Data. In this project, I applied regression and machine learning techniques to predict house prices in India.