An collection of machine learning projects implemented based on IEEE papers.
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Updated
Aug 11, 2023 - Jupyter Notebook
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)
Projeto de ensino para o curso Ciência de Dados ministrado por mim na Hashtag
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
Here are some fun projects to learn ML using Handson approach
this repo will include all my work regarding NLP
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
Natural Language Processing model to classify Yelp Reviews into 1 star or 5 star categories based off the text content in the reviews
🏡 Built linear regression model to predict house prices in Ames dataset with applied tools such as scikit-learn pipeline
Enhancement of SKLearn 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.
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