sklearn-pipeline

There are 64 repositories under sklearn-pipeline topic.

  • SK-Learn-pipeline-model

    Language:Jupyter Notebook

  • Coursera_Data_Analysis_With_Python

    Language:Jupyter Notebook

  • House-Sale-Prices-Prediction-Using-Python

    Language:Jupyter Notebook

  • Yelp_Review_Rating

    Language:Jupyter Notebook

  • ML_AracFiyatTahmini

    Language:Jupyter Notebook

  • CaliforniaHousePricePrediction

    Language:Jupyter Notebook

  • car-price-prediction

    A car price prediction model based on regressor task.

    Language:Jupyter Notebook

  • modelo_titanic

    Notebook modelo de dados com análise descritiva

    Language:Jupyter Notebook

  • 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

    Language:Python

  • IPL-win-predictor

    This App will be able to predict win % of IPL teams given a match situation in 2nd Innings.

    Language:Python

  • Flight-passengers-prediction

    Predict the number of passengers per plane on some flights

    Language:Jupyter Notebook

  • 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.

    Language:Jupyter Notebook

  • Sentiment-Predictor

    Building a Sentiment Predictor Using Multinomial Naive Bayes

    Language:Jupyter Notebook

  • 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.

    Language:Jupyter Notebook

  • 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.

    Language:Jupyter Notebook

  • Used_Car_Price_Prediction

    This repository contains a flask application that is created for price prediction of used car in India.

    Language:HTML

  • Sports-Person-Classifier

    Classifying Sports Personalities

    Language:Python

  • toxic-comment-classification-challenge

    To build a multi-class model using Sklearn-pipelines that’s capable of detecting different types of toxicity

    Language:Jupyter Notebook

  • Graph-Analytics-Link-Prediction

    Use Graph Analytics to Predict Relationships Between Entities

    Language:Jupyter Notebook

  • 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.

    Language:Jupyter Notebook

  • 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.

    Language:Jupyter Notebook

  • 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.

    Language:Jupyter Notebook

  • MyPipeline

    Demo for "Pandas In, Pandas Out" scheme based scikit-learn pipeline.

    Language:Python

  • Sandbox

    Trying out new different things

    Language:Jupyter Notebook

  • sklearn-pipelinetweak

    additional wrapper and classes for sklearn's pipeline API

    Language:Python