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GitHub topics: sklearn-pipeline

davutbayik/socialmedia-ads-purchase-prediction

🎯 Social media ad purchase predictor using Streamlit and FastAPI — clean UI + real-time ML predictions!

Language: Jupyter Notebook - Size: 241 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

chicolucio/ifood-case-data-analyst

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

Language: Jupyter Notebook - Size: 12.6 MB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 26 - Forks: 23

ZenaPoudel/rqf-demand-forecast

Demand Forecasting with Quantile Regression Forest

Language: Python - Size: 17.6 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

matheusAFONSECA/Deploy-ML-models-with-Streamlit-Udemy

This repository is dedicated to storing the code developed during the "Machine Learning Model Deployment with Streamlit" course on Udemy. The course covers basic to advanced techniques for deploying machine learning models using Streamlit.

Language: Jupyter Notebook - Size: 1.9 MB - Last synced at: 25 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

adnaen/hotel-cancellation-prediction

💼 A Production ready ML solution for Hotel Cancellation Prediction

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MLShet/LangraphMLBot

Automated sklearn pipelines using LangChain and LangGraph.

Language: Jupyter Notebook - Size: 83 KB - Last synced at: 25 days ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

rodrigo-arenas/scikit-pipes

Scikit-Learn useful pre-defined Pipelines Hub

Language: Python - Size: 49.8 KB - Last synced at: about 19 hours ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

RijoSLal/ChurnIQ

ChurnIQ is a Streamlit app that predicts customer churn based on inputted customer details. Using a trained machine learning model, it helps businesses anticipate whether customers will stay or leave

Language: Jupyter Notebook - Size: 331 KB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

JAdelhelm/AutoAD

AutoAD - A framework for the rapid detection of anomalies in (big) datasets

Language: Jupyter Notebook - Size: 2.42 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 1

siddhinarayan09/house-prices-prediction

A project predicting housing prices using the California Housing Dataset with Linear Regression, featuring data preprocessing pipelines, model training, and future prediction capabilities.

Language: Python - Size: 4.88 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

gvsreekar/credit_risk_model

The model used in this credit risk analysis is trained on a dataset of borrower attributes, including financial, demographic, and credit-related features. The goal is to enable data-driven decisions in the loan underwriting process.

Language: Jupyter Notebook - Size: 43.6 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Ahmed-AI-01/NLP

this repo will include all my work regarding NLP

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Jatin-Mehra119/Flight-Price-Prediction

This study aims to analyze flight booking data from "Ease My Trip" website, using statistical tests and linear regression to extract insights. By understanding this data, valuable information can be gained to benefit passengers using the platform.

Language: Jupyter Notebook - Size: 10.9 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

devikajonjale/spam_classifier

This is a Natural Language Processing model for SMS Spam Classification.

Language: Jupyter Notebook - Size: 988 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

sanhiitaa/fastag-fraud-detection-classification

Fastag Fraud Detection Classification System

Language: Jupyter Notebook - Size: 3.38 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

jyothisable/IVY-League-Collage-Predictor

A Linear Regression ML model to predict the chance of admission to IVY League Collages

Language: Jupyter Notebook - Size: 56.2 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

tracyreuter/dimensionality-reduction

Increase processing efficiency via principal components analysis

Language: Jupyter Notebook - Size: 3.57 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Jatin-Mehra119/CAR_PRICE_Prediction

Predicting price of the cars using small dataset.

Language: Jupyter Notebook - Size: 1.08 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

codeDroid1/Sklearn_Pipeline

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

Language: Jupyter Notebook - Size: 224 KB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 2

kaladabrio2020/my-pipelines-sklearn

Pipelines transformMixin that preserve the format dataframe and automation in correlation

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miirshe/NLP-projects

Language: Jupyter Notebook - Size: 29.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Kebab-kun/Sector-based-Time-Series-Classification-and-Similarity-Analysis

Sector based classification with feature engineering and tsfresh. Looking 3 months momentum of stocks.

Language: Jupyter Notebook - Size: 1.66 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

HarshJarsaniya/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.

Size: 1000 Bytes - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

nitinjosephrepo/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 - Size: 67.4 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

tomytjandra/loan-approval-app

Simple End-to-End Machine Learning Project

Language: HTML - Size: 5.47 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 0

Praveen76/AcousticExtinguisherFire

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.

Language: Jupyter Notebook - Size: 469 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

anudeepvanjavakam1/churn_prediction

A flask app to predict customer churn for a subscription service business

Language: Jupyter Notebook - Size: 66.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Mathurshab2210/Ml_with_Mathur

Here are some fun projects to learn ML using Handson approach

Language: Jupyter Notebook - Size: 2.71 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Nasfame/decenter.streamlit.app

Decenteralized AI training platform for all

Language: Python - Size: 5.73 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1

chicolucio/segmentacao-clientes-supermercado

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

Language: Jupyter Notebook - Size: 2.36 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

PeterSchuld/Disaster-Response-Pipeline-

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.

Language: Jupyter Notebook - Size: 3.4 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

sdakansu/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 - Size: 7.61 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

harisankar01/IEEE-ML-Projects

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

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Gopalkholade/car-price-prediction

A car price prediction model based on regressor task.

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nipun-goyal/Residential-Energy-Consumption-Prediction

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

Language: Jupyter Notebook - Size: 69.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Tirth132108/Used_Car_Price_Prediction

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

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DunnBC22/Python_Projects_with_Structured_data

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

Language: Jupyter Notebook - Size: 5.95 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Darshan0902/SK-Learn-pipeline-model

Language: Jupyter Notebook - Size: 3.42 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

tien02/salary-prediction

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

Language: Jupyter Notebook - Size: 4.26 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

Jacqueline-dev/modelo_titanic

Notebook modelo de dados com análise descritiva

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bhulston/Random-Forest-on-Cancer-Classification

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

Language: Jupyter Notebook - Size: 3.86 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

TanyamonSiri/house-prices-prediction-with-regression-model

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

Language: Python - Size: 1000 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

instabaines/rossaman-store-end-to-end-ml-prediction

An end to end machine learning prediction for rossamann store problem

Language: Python - Size: 14.6 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

MuhammadTayyab-SE/titanic_survival_classifier

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

Language: Jupyter Notebook - Size: 98.6 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

MuhammadTayyab-SE/titanic_survival_model_pipeline

Logistic regression pipeline by using sklearn, feature_engine, joblib

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MuhammadTayyab-SE/churn-prediction-pipeline

âš¡ Code for machine Learning Pipeline with Scikit-learn âš¡

Language: Jupyter Notebook - Size: 87.9 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

sezersekerli/ML_RegressionProblem

Regression Problem

Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

adamparkosidis/NLP-Yelp-Reviews

Natural Language Processing model to classify Yelp Reviews into 1 star or 5 star categories based off the text content in the reviews

Language: Jupyter Notebook - Size: 3.4 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

youssef595/Flight-passengers-prediction

Predict the number of passengers per plane on some flights

Language: Jupyter Notebook - Size: 10.9 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Bipin-K-Balan/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 - Size: 1.84 MB - Last synced at: 21 days ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 2

Jayveersinh-Raj/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.

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Anas436/House-Sale-Prices-Prediction-Using-Python

Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

hamzansariii/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 - Size: 46.9 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

ShreySrivas/Sports-Person-Classifier

Classifying Sports Personalities

Language: Python - Size: 118 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

hediyeorhan/ML_AracFiyatTahmini

Language: Jupyter Notebook - Size: 121 KB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

uditmanav17/Sandbox

Trying out new different things

Language: Jupyter Notebook - Size: 24.2 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Ankit-Kumar-Saini/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 - Size: 23 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 1

ShrishailSGajbhar/MyPipeline

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

Language: Python - Size: 10.7 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

VeereshElango/CaliforniaHousePricePrediction

Language: Jupyter Notebook - Size: 6.09 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 1

ulf1/sklearn-pipelinetweak

additional wrapper and classes for sklearn's pipeline API

Language: Python - Size: 23.4 KB - Last synced at: 6 days ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

HishamElamir/PipeLearn

Enhancement of SKLearn Pipeline

Size: 1000 Bytes - Last synced at: about 8 hours ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

Related Keywords
sklearn-pipeline 61 sklearn 24 machine-learning 21 python 11 pandas 8 pipeline 8 logistic-regression 7 gridsearchcv 6 machine-learning-algorithms 5 sklearn-library 5 streamlit 5 data-science 5 linear-regression 5 data-visualization 4 xgboost-classifier 4 matplotlib 4 python3 4 nlp 4 scikit-learn 4 regression-models 3 random-forest-classifier 3 numpy 3 regression 3 binary-classification 3 hyperparameter-tuning 3 flask-application 3 flask 3 tfidf-vectorizer 2 preprocessing 2 sklearn-compatible 2 docker 2 mlflow 2 pandas-dataframe 2 nltk-library 2 nltk-python 2 sklearn-classify 2 sklearn-metrics 2 data-analysis 2 hyperparameter-optimization 2 random-forest 2 regression-analysis 2 flask-app 2 principal-component-analysis 2 jupyter-notebook 2 etl-pipeline 2 lasso-regression 2 feature-engineering 2 pickle 2 segmentation 2 clustering 2 data 2 ai 2 sklearn-datasets 2 teaching 2 joblib 2 streamlit-webapp 2 beginner-friendly 2 grid-search-cross-validation 1 decision-tree-classifier 1 cross-validation-score 1 dados 1 visualization 1 streamlit-dashboard 1 streamlit-application 1 seaborn-plots 1 visualizations 1 ames-housing-dataset 1 house-price-prediction 1 multiple-linear-regression 1 kserve 1 rossmann-store-sales 1 titanic-kaggle 1 titanic-survival-prediction 1 churn-employee-prediciton 1 churn-modelling 1 hyperparameter-pipeline 1 pipeline-framework 1 ml 1 r2score 1 regression-algorithms 1 elasticnet 1 gradient-boosting-regressor 1 lightgbm-regressor 1 random-forest-regression 1 ridge-regression 1 xgboost-algorithm 1 ai-systems 1 xgboost 1 auto-sklearn 1 exploratory-data-analysis 1 exploratory-data-visualizations 1 keras 1 multiclass-classification 1 web-deployment 1 structured-data 1 bagging-ensemble 1 boosting 1 decision-tree-regression 1 ensemble-machine-learning 1 gradient-boosting 1