This Flask app predicts house prices using a RandomForestRegressor model trained on a housing dataset. It includes data pre-processing with pipelines and imputers, stratified train-test splitting, and a user input form. Predictions are displayed on the web page, making it ideal for learning basic machine learning deployment with Flask.

A Course from kaggle solved Exercises

The practitioner's forecasting library

Employee Attrition Classification using Scikit-Learn

Flight Price Prediction Regression using Scikit-Learn

scikit-learn Library (sk-learn) / Biblioteca scikit-learn (sk-learn)

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

A Q&A based chatbot which queries the database to find responses for similar questions asked by the users

Buscador y recomendador del catálogo de películas de Filmin

Machine learning series 2.3 on boosted trees

Search Engine with Python, NLTK, and Scikit-learn

A fast, robust library to check for offensive language in strings, dropdown replacement of "profanity-check".

Topics related to Machine Learning

An AI model built to understand the sentiments transmitted through a phrase.

My Capstone for the HarvardX Course "Introduction to Data Science with Python"

The Heart Disease Predictor is a Python project developed to classify whether an individual has heart disease based on specific input parameters. It utilizes the scikit-learn and NumPy libraries for implementation.

📊 This application is designed to simplify the process of generating Principal Component Analysis (PCA) plots, scree plot, and loadings table.

Mini curso - Jornada Python oferecido pela hashtag treinamentos - 4 projetos em Python

🌟 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Winter24AICohort