Projeto de ensino para o curso Ciência de Dados ministrado por mim na Hashtag

An collection of machine learning projects implemented based on IEEE papers.

Simple End-to-End Machine Learning Project

This repository includes projects using datasets of structured data (non-Spark). The projects use Python, NumPy, Pandas, Matplotlib, Seaborn, TensorFlow, Pytorch, and Sklearn.

Predicting the Residential Energy Usage across 113.6 million U.S. households using Machine Learning Algorithms (Regression and Ensemble)

Simple Application for predicting price of the flight. It uses sklearn pipeline to perform preprocessing , feature selection and feature engineering and model building .The pipeline object is saved in a pickle file and used in the flask application for prediction

⚡ Code for machine Learning Pipeline with Scikit-learn ⚡

Regression Problem

this repo will include all my work regarding NLP

Here are some fun projects to learn ML using Handson approach

Predicting developer's salary from Stack Overflow Annual Developer Survey (https://insights.stackoverflow.com/survey)

Machine learning (ML) pipelines consist of several steps to train a model.

Built Random Forest classifier from scratch on top of Scikit Learn decision trees. Using Scikit Learn to create data cleaning pipelines, perform grid searches for hyper parameter tuning, and decision tree modeling

🏡 Built linear regression model to predict house prices in Ames dataset with applied tools such as scikit-learn pipeline

Scikit-Learn useful pre-defined Pipelines Hub

Logistic regression pipeline by using sklearn, feature_engine, joblib

This model will evaluate either a passenger will survive in titanic.

End-to-end machine learning pipeline to classify disaster messages into 36 categories and a web app to deploy the trained model.

Enhancement of SKLearn Pipeline