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

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

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.

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.

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

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

ML_SUPERVISED_LEARNING_SALES_PRIDICTION_PROJECT

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.

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

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.

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…