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

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

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

Airline Fare Prediction using Regression

Построение различных моделей линейной регрессии для предсказания курса доллара

In today's dynamic marketplace, accurately forecasting product demand is essential for optimizing inventory management, production planning, and ensuring customer satisfaction. This project capitalizes on the potential of machine learning to tackle this critical business challenge.

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.

The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase

ML_SUPERVISED_LEARNING_SALES_PRIDICTION_PROJECT

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

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.

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

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.