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scikit-learn

scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.

https://github.com/subratamondal1/machine-learning

Machine Learning Notes with tools like Numpy, Pandas, Scikit-Learn.

machine-learning numpy pandas scikit-learn

Last synced: 11 Jan 2025

https://github.com/alphacrypto246/grape-quality-prediction

The Grape Quality Prediction project uses machine learning to predict the quality of grapes based on chemical properties like acidity, sugar content, and alcohol levels. It applies regression models to forecast the quality score, helping in wine production and quality assessment.

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 02 Feb 2025

https://github.com/luizassimoes/sklearn-kaggle-titanic

This repository was created to store all the code for tackling the Titanic challenge on Kaggle.

kaggle machine-learning scikit-learn

Last synced: 05 Jan 2025

https://github.com/freakwill/dred

🔴 dred = dimension reducing for machine learning (suit to sklearn)

dimension-reduction scikit-learn sklearn sklearn-estimator

Last synced: 26 Jan 2025

https://github.com/freakwill/nb-combination

ensemble classifier with naive bayes combination

bayes-classifier python scikit-learn

Last synced: 26 Jan 2025

https://github.com/adamelliotfields/ml

Machine learning notebooks

machine-learning notebooks scikit-learn

Last synced: 11 Jan 2025

https://github.com/kuduxaaa/bog-datachallenges

The second paper of the Bank of Georgia event (Data Challenge) — NLP sentiment analysis 🧡

logistic-regression machine-learning nlp scikit-learn sentiment-analysis

Last synced: 02 Jan 2025

https://github.com/bkamapantula/discover

Code search utility to assist developer workflows via code discovery. Currently uses TF-IDF estimator.

developer-tools python scikit-learn tf-idf

Last synced: 01 Feb 2025

https://github.com/archie-cm/churn-analysis-ecommerce-customer

The objective of this project to is to predict customer churn, loss opportunity and provide recommendations to the business team so the company can implement a customer persona in retention strategy and can monitoring throught dashboard interactive.

data-science feature-engineering machine-learning python scikit-learn

Last synced: 20 Jan 2025

https://github.com/lijesh010/ml_project_data_preprocessing

The main objective of this project is to design and implement a robust data preprocessing system that addresses common challenges such as missing values, outliers, inconsistent formatting, and noise. By performing effective data preprocessing, the project aims to enhance the quality, reliability, and usefulness of the data for machine learning.

data-cleaning data-exploration data-preprocessing machine-learning numpy pandas-python python scikit-learn

Last synced: 03 Feb 2025

https://github.com/lakshitalearning/codsoft

Machine Learning Projects - CODSOFT Internship: This repository showcases my machine learning projects completed during my internship at Codsoft. It demonstrates my skills in developing innovative solutions using various ML techniques and tools.

churn-prediction codsoft codsoftinternship deep-learning handwritten-text-recognition internship-project keras machine-learning python rnn-tensorflow scikit-learn spam-detection

Last synced: 21 Dec 2024

https://github.com/pradeep31747/smartsuggest-personalized_product_recommendations

This project implements a personalized product recommendation system using machine learning techniques to enhance user experience and drive engagement.

jupyter-notebook keras numpy pandas pyhton scikit-learn sql tensorflow vscode

Last synced: 21 Dec 2024

https://github.com/shadmanshaikh/ml_algo_from_scratch

All standard machine learning algorithms from scratch in python 🐍

classification deep-learning machine-learning neural-nets python regression scikit-learn

Last synced: 26 Jan 2025

https://github.com/gabrielmazzotta/nlp-clustering--movie-similarity-from-plot-summaries

A Python-based movie recommendation system leveraging NLP and clustering techniques. This project includes data processing, vectorization of plot summaries, and the implementation of recommendation algorithms to suggest similar movies based on user input.

clustering cosine-similarity hierarchical-clustering kmeans lemmatization nlp recommendation-engine scikit-learn similarity-score spacy tokenization

Last synced: 21 Dec 2024

https://github.com/ccastleberry/sk-autobots

Custom data transformers using the scikit-learn API.

scikit-learn sklearn sklearn-api

Last synced: 21 Dec 2024

https://github.com/gfyoung/tree-decode

Package for removing the black-box around decision trees

blackbox decision-tree machine-learning python scikit-learn

Last synced: 21 Dec 2024

https://github.com/laoluadewoye/skloverlay

This repository is the official location of the SKLOverlay Project. Here, it will hold everything used for the package on Py Pi, including source files.

classification classification-algorithm data-science data-wrangling evaluation-metrics excel graphics graphs machine-learning machine-learning-algorithms matplotlib modeling pandas preprocessing scikit-learn

Last synced: 21 Dec 2024

https://github.com/hassan11196/churn-nn

A simple Churn Predictor using Scikit's Multi-Layer Perceptron Classifier

jupyter-notebook machine-learning ml neural-network python scikit-learn

Last synced: 05 Jan 2025

https://github.com/hallowshaw/text-emotion-classification-using-lstm-and-tokenization

This repository provides a machine learning and deep learning pipeline for text emotion detection. It includes a pretrained LSTM model, tokenizer, and preprocessing steps to classify emotions such as joy, sadness, and anger from text input. Easily deployable with provided resources and scripts.

emotion-classification emotion-detection feature-engineering lstm nltk nltk-python scikit-learn scikitlearn-machine-learning sentiment-analysis sequential-models text-classification text-classification-multi-label tokenization tokenizer

Last synced: 29 Dec 2024

https://github.com/gliuck/diabetesprediction

Machine learning exam project, focused on predicting diabetes based on health and demographic data. The project uses models like Logistic Regression, KNN, SVM and NN to analyze and predict the likelihood of diabetes in individuals.

machine-learning machine-learning-models numpy-library pandas-library prediction-model python scikit-learn

Last synced: 21 Dec 2024

https://github.com/mahdibehoftadeh/polynomial-regression-co2-emissions

A simple machine learning polynomial regression using a large dataset to learn and predict CO2 emission of a car by its built features like engine size and cylinders

machine-learning matplotlib numpy nural-network pandas polynomial-regression python scikit-learn

Last synced: 21 Dec 2024

https://github.com/christianconchari/bike-sharing-demand

Este repositorio contiene el trabajo práctico final de la materia Aprendizaje de Máquina II de la Especialización en Inteligencia Artificial (CEIA) de la Facultad de Ingeniería de la Universidad de Buenos Aires (FIUBA).

airflow docker fastapi machine-learning mlflow python scikit-learn

Last synced: 21 Dec 2024

https://github.com/lemma-osu/sklearn-raster

Spatial raster prediction with scikit-learn estimators

raster scikit-learn xarray

Last synced: 16 Jan 2025

https://github.com/jingjing-jin/purchase-behavior-analysis

Purchase Behavior Analysis for Targeted Customer Segmentation

clustering-algorithm data-mining machine-learning python scikit-learn

Last synced: 21 Dec 2024

https://github.com/umasivakumar14/real_estate_ml_model

Predicts the price of a home in Bengaluru, Karnataka based on location, urbanization, total square feet, bedrooms, bathrooms, and balconies.

aws flask gridsearchcv http-requests machine-learning machine-learning-algorithms nginx pandas python scikit-learn

Last synced: 21 Dec 2024

https://github.com/altescy/xsklearn

Expanded scikit-learn for my research

python scikit-learn

Last synced: 26 Jan 2025

https://github.com/enayar478/nomad_machine_learning_dash_app

An interactive Machine Learning app built with Dash and Plotly, developed as part of the Data Analytics Bootcamp at Le Wagon Bordeaux. It allows users to visualize data, make real-time predictions, and explore various model insights.

analytics cachetools dash dashboard-application data-analysis data-science deployment gunicorn interactive-visualization machine-learning pandas plotly plotly-dash prediction-model python python3 render scikit-learn web-application

Last synced: 22 Jan 2025

https://github.com/aysh2603/credit-card-fraud-detection

The Credit Card Fraud Detection project aims to identify fraudulent transactions from a dataset of credit card transactions. The project addresses the challenge of class imbalance and employs advanced machine learning techniques to build an effective fraud detection model.

ensemble-learning hyperparameter-tuning numpy pandas python3 scikit-learn streamlit

Last synced: 21 Dec 2024

https://github.com/sergeimakarovv/ml-powerlifting

Predicting a weight lifted by athletes using Machine Learning

machine-learning pandas python scikit-learn

Last synced: 21 Dec 2024

https://github.com/cego669/dirtycategoriesencoding

Repository containing two classes (StringAgglomerativeEncoder and StringDistanceEncoder) useful for grouping or visualizing the distance between dirty categorical variables. They are compatible with the scikit-learn API.

category clustering dimensionality-reduction dirty hierarchical-clustering machine-learning scikit-learn singular-value-decomposition svd

Last synced: 21 Dec 2024

https://github.com/ramyacp14/sentimentanalysis

Implements a sentiment analysis model to determine the emotional tone behind text, helping understand attitudes, opinions, and emotions in online mentions.

machine-learning natural-language-processing nltk numpy pandas python scikit-learn

Last synced: 13 Jan 2025

https://github.com/sarowarahmed/predicting-kolkata-house-price

🏠 Predicting Kolkata House Price: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to predict house prices in Kolkata. Deployed on Streamlit Cloud for easy access and real-time predictions.

app kolkata linear-regression machine-learning numpy pandas scikit-learn streamlit

Last synced: 21 Dec 2024

https://github.com/radoslawregula/binary-classification-metrics

A model implementing a solution to the binary classification problem along with several accuracy metrics.

binary-classification classification jupyter-notebook machine-learning matplotlib pandas python scikit-learn stochastic-gradient-descent

Last synced: 21 Jan 2025

https://github.com/aysh2603/twitter-sentiment-analysis

The Twitter Sentiment Analysis project employs Natural Language Processing (NLP) techniques to classify tweets into positive or negative sentiments. By analyzing the tone of tweets, this project provides insights into public sentiment on various topics.

hyperparameter-tuning nlp-machine-learning numpy pandas python3 scikit-learn

Last synced: 21 Dec 2024

https://github.com/nicolascoiado/nivel-mar

Este projeto realiza uma análise detalhada do nível médio global do mar (GMSL), utilizando uma base de dados pública que abrange medições históricas. O objetivo é explorar tendências, calcular a taxa média de elevação e visualizar os dados por meio de gráficos.

google-colab jupyter-notebook matplotlib numpy pandas python python3 scikit-learn

Last synced: 18 Jan 2025

https://github.com/petrosdemetrakopoulos/flight-passengers-prediction

A supervised learning problem given as a project in the "Data Mining in Databases and World Wide Web" course in Computer Science Department of AUEB in Winter semester of 2019.

classification classifier data-science machine-learning python scikit-learn sklearn university-project

Last synced: 29 Jan 2025

https://github.com/khanovico/python-stock-analyzer

This is a Webapp implemented by python and several data science frameworks, enabling online stock trend analyzing.

amcharts-js-charts data-analysis data-visualization flask javascript pandas python scikit-learn

Last synced: 21 Dec 2024

https://github.com/roovedot/house-price-predictions-with-random-forest-regression-model

Applying Machine Learning Regression Model to Predict Housing Prices for Kaggle "Housing Prices Competition for Kaggle Learn Users".

machine-learning pandas random-forest-regression scikit-learn

Last synced: 20 Dec 2024

https://github.com/amiriiw/text_classification

Welcome to the Text Classification Project! This project is designed to train a model for classifying texts based on their emotional content and then using it to categorize new texts into corresponding emotional categories.

keras numpy pandas pickle scikit-learn tensorflow text-classification

Last synced: 21 Dec 2024

https://github.com/stella4444/linear-regression

learning about linear regression (currently a work in progress) ~ working with data

linear-regression machine-learning numpy scikit-learn

Last synced: 21 Dec 2024

https://github.com/hayatiyrtgl/topic_modeling_sklearn_lda

Python code: Uses LDA for topic modeling on text data.

lda lda-model machine-learning nlp python scikit-learn sklearn topic-modeling

Last synced: 22 Dec 2024

https://github.com/alchemine/diabetes-prediction

Diabetes Prediction and Analysis (NHIS-2018)

eda jupyter python scikit-learn streamlit

Last synced: 16 Jan 2025

https://github.com/manome/python-supervised-learning

This project provides sample code for performing supervised learning.

conformal-prediction scikit-learn supervised-learning

Last synced: 21 Dec 2024

https://github.com/raulmaulidhino-dev/ml_modelling_regression

There are many factors that influence the grades/scores of students. One of the factors is study hours. In this mini analysis project, there are 3 models that will learn and predict the relation between study hours of students and their scores in an exam/test. This project will result the best ML model to solve the problem.

data data-analysis-python data-science eda machine-learning scikit-learn

Last synced: 21 Dec 2024

https://github.com/chaitanya1436/student_performance_analysis

A project focused on analyzing college student performance using data on department, assessment scores, and performance labels. Implemented in Google Colab, the analysis includes data preprocessing, feature scaling, and exploratory data analysis to uncover insights and prepare the data for further analysis or modeling.

ata-preprocessing data-preparation exploratory-data-analysis feature-scaling google-colab numpy pandas scikit-learn

Last synced: 21 Dec 2024

https://github.com/apal21/tensorflow-pima-indians-dataset-classification

Pima Indians Dataset classification using Tensorflow Linear Classifier and DNN Classifier.

classification deep-neural-networks kaggle linear-classifier pandas pima-indians-dataset scikit-learn tensorflow

Last synced: 31 Dec 2024

https://github.com/jeus0522/7-explore-different-classifier-ml-app

A project exploring various classification algorithms, showcasing their implementation, comparison, and evaluation using Python and scikit-learn.

k-nearest-neighbours knn random-forest scikit-learn streamlit support-vector-machine svm

Last synced: 21 Dec 2024

https://github.com/moanassiddiqui/handsonml_ml

This is the complete part I of the Hands-On Machine Learning book which was about the classical machine learning models.

hands-on machine-learning scikit-learn

Last synced: 18 Jan 2025

https://github.com/miteshgupta07/zomato-restaurant-rating-predictor

A Zomato rating prediction app that uses machine learning to forecast restaurant ratings based on various factors, helping users make informed dining decisions.

flask machine-learning python scikit-learn

Last synced: 28 Dec 2024

https://github.com/emms21/thoughtful_ai

Technical Screening: an agent that responds to semantically similar questions with pre-defined answers, falling back to generic LLM responses otherwise

openai python scikit-learn streamlit

Last synced: 22 Jan 2025

https://github.com/nickklos10/seriea_machine_learning_predictions_2025

This project involves scraping data, processing the data, and building machine learning models to predict the standings for the 2024-2025 Serie-A season.

beatifulsoup data-scraping keras matplotlib pandas scikit-learn shap tensorflow

Last synced: 29 Jan 2025

https://github.com/suvasish114/house-price-estimation

A machine learning model that estimate housing prices in California using the California census data

jupyter-notebook machine-learning python scikit-learn

Last synced: 29 Jan 2025

https://github.com/zsailer/skspline

A Scikit-learn interface on Scipy's spline.

scikit-learn scipy

Last synced: 22 Dec 2024

https://github.com/manjit-baishya-datascience/spam-email-detection

This project demonstrates how to build a spam detection system using Natural Language Processing (NLP) and machine learning techniques.

imblearn nlp nlp-machine-learning nltk scikit-learn spam-detection

Last synced: 21 Dec 2024

https://github.com/sarincr/training-on-artificial-intelligence

Entree Academy 10 Days free training on Artificial Intelligence. Course will be conducted in a Blended learning way with Daily one hour online training and 3 hour project based training

artificial-intelligence artificial-intelligence-algorithms data-analysis data-science data-visualization decision-trees deep-learning deeplearning logistic-regression machine-learning machine-learning-algorithms machinelearning num numpy pandas regression scikit-learn scipy sklearn

Last synced: 21 Jan 2025

https://github.com/thd-ai-2023/ain-b-3-assistant-systems

Assistance Systems Project is a web application that provides personalized health recommendations and data analysis. The frontend is built using Streamlit, and it integrates a chatbot developed with Rasa. Machine learning models created with scikit-learn are used to generate recommendations based on user input. The application is containerized with

chatbot data-analysis docker docker-compose machine-learning python rasa scikit-learn sklearn streamlit

Last synced: 29 Jan 2025

https://github.com/prakashjha1/customer-segmentation

This repository contains a customer segmentation project implemented in a Jupyter Notebook using Python. Customer segmentation is a crucial strategy for businesses aiming to understand their customer base better, enabling targeted marketing strategies and personalized customer experiences.

clustering-algorithm customer-segmentation kmeans-clustering matplotlib python scikit-learn seaborn

Last synced: 16 Jan 2025

https://github.com/wesleybertipaglia/data-science-small-business

Undergraduate Data Science project for small businesses, covering data-driven solutions for optimizing operations, increasing efficiency, and driving growth.

business-intelligence data-science machine-learning matplotlib pandas python scikit-learn

Last synced: 18 Jan 2025

https://github.com/katjaweb/king-county-house-price-prediction

This project aims to predict house prices based on various features such as square footage, number of rooms or location.

machine-learning python regression scikit-learn

Last synced: 21 Dec 2024

https://github.com/sckonung/crab-age-regression

ML model for regression with a crab age dataset Competition in Kaggle

keras machine-learning pandas python scikit-learn tensorflow

Last synced: 21 Dec 2024

https://github.com/serdaraydem1r/10dayaichallenge101

In the 10-day camp, we experienced the basics of machine learning by coding

artificial-intelligence machine-learning-algorithms model-evaluation-and-selection scikit-learn

Last synced: 22 Dec 2024

https://github.com/engineertolulope/us_states_living_ranking_analysis

Python script for analyzing and ranking U.S. states based on factors like cost of living, tax burden, diversity, crime rates, and climate. Uses weighted criteria to identify the best states to live in according to these metrics. Ideal for decision-making on relocation.

data-analysis data-science linear-regression machine-learning python scikit-learn

Last synced: 21 Dec 2024

https://github.com/idaraabasiudoh/credit_card_fraud_detection

This repository contains a machine learning project focused on detecting credit card fraud using Decision Tree and Support Vector Machine (SVM) classifiers.

data-analysis jupyter-notebook machine-learning python3 scikit-learn snapml

Last synced: 21 Dec 2024

https://github.com/radoslawregula/geo-music-classification

Jupyter notebook implementing a classification solution to the geographical origins of music problem.

classification jupyter-notebook machine-learning pandas python random-forest-classifier scikit-learn

Last synced: 21 Jan 2025

https://github.com/sanjiv856/machine_learning_scikit-learn

Repository for machine learning in Python using Scikit-learn.

pipelines python scikit-learn sklearn titanic-kaggle titanic-survival-prediction

Last synced: 21 Dec 2024

https://github.com/ourahma/python-data-viz

This project focuses on data analysis and visualization to estimate used car prices. It includes preprocessing, statistical analysis, regression modeling, and visualizations to provide insights into the car pricing market.

jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 29 Jan 2025

https://github.com/soumyapro/parkinson-disease-prediction

This project predicts Parkinson's disease using machine learning models.

logistic-regression numpy pandas scikit-learn svc xgboost

Last synced: 21 Dec 2024

https://github.com/andriamahay11master/machinelearning

This project is created to practice supervised ML using the libraries existing in Python

linear-regression multiple-linear-regression python scikit-learn scikitlearn-machine-learning

Last synced: 22 Jan 2025

https://github.com/idaraabasiudoh/telco-churn-logistic-regression

A predictive model using logistic regression to identify customers likely to churn from a telecommunications company.

logistic-regression machine-learning python3 scikit-learn

Last synced: 21 Dec 2024

https://github.com/atharvapathak/size_estimator_project

This project in Python aims to provide a tool for estimating the size of objects in images or videos. Using computer vision techniques, the project analyzes the input media, detects objects of interest, and provides an estimation of their size based on known reference points or objects.

cicd cnn opencv python pytorch rnn scikit-learn sql tensorflow

Last synced: 15 Jan 2025

https://github.com/barrettotte/anilist-ml

Training a binary classifier model to predict if I would recommend an anime using my Anilist user data.

anilist binary-classification data-visualization machine-learning scikit-learn

Last synced: 03 Feb 2025

https://github.com/lexxai/goit_python_ds_hw_03

Модуль 3. Класичне машинне навчання. Перенавчання. Лінійна регресія. LaTeX формули.

latex linear-regression matplotlib numpy pandas python scikit-learn

Last synced: 24 Jan 2025

https://github.com/lexxai/goit_python_ds_hw_05

Метод опорних векторів -Support Vector Machine, SVM. Дерева рішень - RandomForestClassifier, XGBClassifier

classification numpy pandas python random-forest-classifier reporting scikit-learn svm-classifier svm-model xgbclassifier

Last synced: 24 Jan 2025

https://github.com/harshitwaldia/disease_detection

A disease detection system using Random Forest Classifier and GUI in Python, identifying illnesses based on user symptoms.

pandas-python python3 random-forest-classifier scikit-learn tkinter-gui

Last synced: 03 Feb 2025

https://github.com/tnleite/loan-approval-prediction

Este repositório apresenta um modelo preditivo de aprovação de empréstimos, focado em minimizar o risco de inadimplência. Utilizando EDA e algoritmos de machine learning (Random Forest, XGBoost), ajustamos o threshold para maximizar o recall de inadimplentes, contribuindo para uma gestão de riscos eficiente.

classification-algorithm data-science exploratory-data-analysis machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn scipy seaborn xgboost-classifier

Last synced: 29 Jan 2025

https://github.com/thekartikeyamishra/resumeevaluatorapp

The Automated Resume Evaluator is a Python-based application that helps evaluate resumes against job descriptions. It calculates an Applicant Tracking System (ATS) score, which is the percentage of keywords from the job description found in the resume.

flask machine-learning matplotlib nlp nltk pypdf python scikit-learn spacy textblob

Last synced: 03 Feb 2025

https://github.com/mecha-aima/fake-bills-detection

This Python project implements a simple classification model comparison using scikit-learn to classify banknotes as either "Authentic" or "Counterfeit" based on four features

classification-model machine-learning model-selection scikit-learn

Last synced: 22 Jan 2025

scikit-learn Awesome Lists
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scikit-learn Categories
Other Awesome Lists 67 General 31 Deep Learning 11 Data Manipulation 8 Machine Learning 7 Visualization 6 Deployment 6 Model Explanation 5 Probabilistic Methods 5 Optimization 4 Reinforcement Learning 4 Computations 4 Time Series 3 Natural Language Processing 3 Web Scraping 3 Experimentation 2 Distributed Computing 2 Computer Vision 2 Feature Engineering 2 Automated Machine Learning 2