#Xgboost-regression

MYoussef885

House_Price_Prediction

The "House Price Prediction" project focuses on predicting housing prices using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, and XGBoost, this project provides an end-to-end solution for accurate price estimation.

abhinav-bhardwaj

Walmart-Sales-Time-Series-Forecasting-Using-Machine-Learning

Time Series Forecasting of Walmart Sales Data using Deep Learning and Machine Learning

esvs2202

Concrete-Compressive-Strength-Prediction

The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concrete with respect to the its age and the quantity of ingredients used.