In this project, I applied different regression models for rmse and mae on antenna dataset for predict signal strength.

This repository will work around solving the problem of food demand forecasting using machine learning.

Welcome to the Machine Learning Algorithms Implementation repository! This repository focuses on practical implementations of various regression algorithms using Python

Airline Fare Prediction using Regression

My graduation project on freezing casting data. Forecasting porosity with AI,

estimating the value of udemy finance & accounting course which target/label (which is continuous/data continuous) based on other variables which are features that influence the target/label with end-to-end process

Evaluating the performance and predictive power of a model. Cross questioned several concepts of ML for better understanding.

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.

Построение различных моделей линейной регрессии для предсказания курса доллара

This repo hosts an end-to-end machine learning project designed to cover the full lifecycle of a data science initiative. The project encompasses a comprehensive approach including data Ingestion, preprocessing, exploratory data analysis (EDA), feature engineering, model training and evaluation, hyperparameter tuning, and cloud deployment.

Predicting the bike count required at each hour for the stable supply of rental bikes.

Code templates for data prep and different ML algorithms in Python.

Data Science Project (Regression for Numeric Data)

In this project, I have developed a Machine Learning model to predict whether users will click on ads. By analyzing various characteristics of users who click on ads, we can gain valuable insights and optimize ad campaigns for better engagement.

Comprehensive exploration of decision tree regressors, including data cleaning, model building, and performance evaluation on various datasets.

Predicting diamond prices helps buyers and sellers make informed decisions by understanding market trends and potential future values.

Previsão dos preços dos imóveis em Ihoa, USA com 4 modelos de regresão, feature engineering com SelectBest.

Analytics Vidhya hosts "JOB-A-THON" where over 7000+ enthusiasts got the opportunity to showcase their skills.

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