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,

Построение различных моделей линейной регрессии для предсказания курса доллара

Development of an AutoML System to Predict the Compressive Strength of Concrete

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

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.

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

Dataset of the real-time election results of the 2019 Portuguese Parliamentary Election. Dataset describing the evolution of results in the Portuguese Parliamentary Elections of October 6th 2019. The data spans a time interval of 4 hours and 25 minutes, in intervals of 5 minutes, concerning the results of the 27 parties involved in the electoral…

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

The "House-Price-Prediction" repository contains code for a model that predicts house prices. It considers factors like bedrooms, bathrooms, and living area. With simple instructions, With the help of this model we can easily predict results as per our requirement.

ML_SUPERVISED_LEARNING_SALES_PRIDICTION_PROJECT

Zyfra is a pioneering developer of efficiency solutions for heavy industries & is aiming to take help of machine learning to optimize the efficiency in Gold Ore processing

Decision Tree Regression using Python

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.