sklearn-pipeline
There are 64 repositories under sklearn-pipeline topic.
car-price-prediction
A car price prediction model based on regressor task.
modelo_titanic
Notebook modelo de dados com análise descritiva
Recommendation-Engine-in-Python
This project aims to develop a user-friendly recommendation engine that suggests movies tailored to individual preferences, enhancing the overall Netflix movie exploration experience.
rossaman-store-end-to-end-ml-prediction
An end to end machine learning prediction for rossamann store problem
IPL-win-predictor
This App will be able to predict win % of IPL teams given a match situation in 2nd Innings.
Flight-passengers-prediction
Predict the number of passengers per plane on some flights
Data-Prepration-For-ML
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.
Sentiment-Predictor
Building a Sentiment Predictor Using Multinomial Naive Bayes
intro_NLP_tensorflow
This is a very brief notebook on NLP, it contains a "Disaster Analysis" project in which all the possible architectures were shown and described briefly.
Titanic-Survival-Prediction
[In the top 20 percent of the Kaggle competition] To predict the survival of passengers on the Titanic, a classification model was developed with the Implementation of Sklearn-Pipeline for feature engineering and model construction using ColumnTransformer.
Used_Car_Price_Prediction
This repository contains a flask application that is created for price prediction of used car in India.
Sports-Person-Classifier
Classifying Sports Personalities
toxic-comment-classification-challenge
To build a multi-class model using Sklearn-pipelines that’s capable of detecting different types of toxicity
Graph-Analytics-Link-Prediction
Use Graph Analytics to Predict Relationships Between Entities
Disaster-Response-NLP-Pipeline
End-to-end machine learning pipeline to classify disaster messages into 36 categories and a web app to deploy the trained model.
Medical-Insurance-cost-prediction
Machine Learning based web application which helps users to choose an appropriate insurance premuim for subscription by predicting it based on user's details like living style, gender, smoker or not etc.
Naive-Bayes-Text-Classification
In this project, Naive Bayes and Logistic Regression models are used to develop a text classification system for Turkish news articles.
MyPipeline
Demo for "Pandas In, Pandas Out" scheme based scikit-learn pipeline.
Sandbox
Trying out new different things
sklearn-pipelinetweak
additional wrapper and classes for sklearn's pipeline API