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.

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.

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.

We're going to use some models to predict the Datasets and show the predictions results in a table.

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

This project utilizes housing features to develop a regression model for predicting housing prices.

Predicting Compressive Strength of Concrete

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

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

Predicting House Prices using LinearRegresion, DecisionTreeRegression, RandomForestRegressor.