There are 2 repositories under sklearn-pipeline topic.
Simple End-to-End Machine Learning Project
An collection of machine learning projects implemented based on IEEE papers.
This repository includes projects using datasets of structured data (non-Spark). The projects use Python, NumPy, Pandas, Matplotlib, Seaborn, TensorFlow, Pytorch, and Sklearn.
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
Predicting the Residential Energy Usage across 113.6 million U.S. households using Machine Learning Algorithms (Regression and Ensemble)
Here are some fun projects to learn ML using Handson approach
⚡ Code for machine Learning Pipeline with Scikit-learn ⚡
Regression Problem
Natural Language Processing model to classify Yelp Reviews into 1 star or 5 star categories based off the text content in the reviews
this repo will include all my work regarding NLP
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
Projeto de ensino para o curso Ciência de Dados ministrado por mim na Hashtag
Machine learning (ML) pipelines consist of several steps to train a model.
Enhancement of SKLearn Pipeline
This model will evaluate either a passenger will survive in titanic.
Logistic regression pipeline by using sklearn, feature_engine, joblib
Project No.2 (Data Engineering) in the Data Scientist Nanodegree program. Build a machine learning pipeline to categorize emergency messages based on the need communicated by the sender.
Scikit-Learn useful pre-defined Pipelines Hub
:house_with_garden: Built linear regression model to predict house prices in Ames dataset with applied tools such as scikit-learn pipeline
Predicting developer's salary from Stack Overflow Annual Developer Survey (https://insights.stackoverflow.com/survey)
A flask app to predict customer churn for a subscription service business
This project aims to develop a user-friendly recommendation engine that suggests movies tailored to individual preferences, enhancing the overall Netflix movie exploration experience.
An end to end machine learning prediction for rossamann store problem
Sector based classification with feature engineering and tsfresh. Looking 3 months momentum of stocks.
This App will be able to predict win % of IPL teams given a match situation in 2nd Innings.
Predict loan approval status using machine learning models. Explore data, build, tune, and evaluate models for accurate predictions.
Predict the number of passengers per plane on some flights
Projeto de ensino para o curso Ciência de Dados ministrado por mim na Hashtag
A car price prediction model based on regressor task.
Notebook modelo de dados com análise descritiva
Pipelines transformMixin that preserve the format dataframe and automation in correlation
Most machine learning algorithms require data to be formatted in a very specific way, so datasets generally require preparation before they can yield useful insights. This repository is to document my study notes as I work through steps that I have personally found most challenging.
AcousticExtinguisherFire employs machine learning to predict fire status based on acoustic signals. With features like SIZE, FUEL, DISTANCE, DESIBEL, AIRFLOW, and FREQUENCY, this binary classification project enhances fire safety measures.