A web application to predict the occurrence and confidence of wildfires using machine learning

My Python learning experience 📚🖥📳📴💻🖱✏

En este repositorio se almacenan los diferentes cuadernos utilizados a la hora de programar los algoritmos de ML utilizados para el estudio y realización del TFG

Predict total bill with Random Forest regressor. Dockerize for deployment.

This project repository is a combination of all R and Python files that have led up to create the Sentiment Gummy Worm scoring model, which is a predictive randomForest model that calculates the mean sentiment score of a sentence based on buffer ratios, decay factors and input length.

Predicting House Prices with Random Forest Regression

Built a regression model for house price prediction of New Taipei city of Xindian district, Taiwan. which can help urban design and urban policies, as it could help identify what factors have the most impact on property prices.

ML_SUPERVISED_LEARNING_SALES_PRIDICTION_PROJECT

This project focuses on developing a Machine Learning model to predict housing prices in California.

Student performance

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.

Este trabajo se enfoca en la implementación de Limpieza, Análisis Exploratorio de Datos y Visualización de Datos para obtener conclusiones acerca del COVID-19 en Alemania.

The Housing Price Prediction Accuracy Improvement project is a data-driven initiative focused on enhancing the precision and reliability of housing price predictions. This project encompasses a multidisciplinary approach, combining data science, machine learning, and real estate insights to optimize the accuracy of forecasts in the housing market.

Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.

Predicting House Prices using LinearRegresion, DecisionTreeRegression, RandomForestRegressor.

Predict precipitation to mitigate flood damage in Bangladesh

Airline Fare Prediction using Regression

This API allows you to predict the emissions of your vehicle based on certain parameters, such as engine size, amount of cylinders and gears, your transmission type and fuel consumption.