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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/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/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/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/karanyeole/dragon-real-estate-price-predictor

The project predicts the real estate prices in the mythical land of Dragons. It uses a dataset of historical real estate prices along with features such as location, size, and amenities to train a model for predicting prices of new properties.

matplotlib numpy pandas python scikit-learn

Last synced: 29 Nov 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/kingyiusuen/travelers-insurance-fraud

Detect fraudulent insurance claims using machine learning

data-science end-to-end-machine-learning flask machine-learning scikit-learn

Last synced: 23 Nov 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/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/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/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/marknature/machine-learning-intern

Machine Learning tasks involving the Titanic Dataset and Breast Cancer Wisconsin (Diagnostic) dataset

data-analysis github jupiter-notebook machine-learning matplotlib numpy pandas python scikit-learn sklearn

Last synced: 13 Nov 2024

https://github.com/baponkar/scikit-logisticregression-application

A simple and detail application analysis of sci kit learn LogisticRegression model .

classification-algorithm logistic-regression machine-learning python3 scikit-learn

Last synced: 27 Dec 2024

https://github.com/shahzaibdev355/house-recommendation-backend

House Recommendation Backend is a Flask-based API that provides house recommendations based on user input. It includes endpoints to check the backend's functionality, fetch state data, and get personalized house recommendations based on criteria like price, property size, number of beds, number of baths, and state.

flask flask-api flask-cors numpy pandas scikit-learn tensorflow

Last synced: 31 Oct 2024

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/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/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/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/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/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/skypse/santander-coders-data_science-course

Curso de Data Science, proposto pelo Satander, utilizando Python!

jupyter-notebook numpy pandas-python python scikit-learn

Last synced: 15 Nov 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/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/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/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/yuweaec/wine_quality_prediction

The Wine Quality Prediction project aims to predict the quality of wine based on its chemical properties using machine learning algorithms.

flask jupyter-notebook machine-learning python scikit-learn

Last synced: 31 Oct 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/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/lakshitalearning/spamfortress

A machine learning-based project to detect SMS spam messages with high accuracy, using the SMS Spam Collection Dataset and techniques like supervised learning, text preprocessing, and model comparison.

data-science google-colab machine-learning nlp scikit-learn sms-spam-detection

Last synced: 15 Nov 2024

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/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/lakshitalearning/churninsight

Customer Churn prediction means knowing which customers are likely to leave or unsubscribe from your service.

churn-prediction data-science flask google-colab machine-learning predictive-analytics python scikit-learn user-retention web-development

Last synced: 15 Nov 2024

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

Diabetes Prediction and Analysis (NHIS-2018)

eda jupyter python scikit-learn streamlit

Last synced: 15 Nov 2024

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/armanx200/income-predictor

🔍✨ A machine learning project that predicts income based on various demographic factors using Random Forest and Gradient Boosting algorithms. Includes data preprocessing, hyperparameter tuning, and model evaluation with detailed performance metrics. 📊🤖

arman-kianian classification data-preprocessing data-science gradient-boosting hyperparameter-tuning income-prediction machine-learning python random-forest scikit-learn

Last synced: 24 Nov 2024

https://github.com/icepanorama/internship-visualizations-and-demonstrations

A collection of some of the programs that I've written over the course of my internship.

artificial-intelligence machine-learning matplotlib numpy pandas python3 pytorch scikit-learn

Last synced: 06 Dec 2024

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/kunalpisolkar24/dsbda_lab

Collection of practical codes for Savitribai Phule Pune University's Data Science and Big Data Analytics Laboratory (310256).

data-analytics data-preprocessing data-science data-wrangling descriptive-statistics linear-regression logistic-regression mapreduce scala scikit-learn sppu-computer-engineering tf-idf

Last synced: 15 Nov 2024

https://github.com/johnnixon6972/cirrhosis-outcomes-prediction

This leverages advanced machine learning techniques to predict patient outcomes for those suffering from cirrhosis. Utilizing a comprehensive dataset from a Mayo Clinic study, this project explores various data imputation methods and class balancing techniques to enhance prediction accuracy.

ai algorithms analytics artificial-intelligence machine-learning ml pandas python3 scikit-learn

Last synced: 17 Nov 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: 17 Nov 2024

https://github.com/avik-pal/kaggle-titanic

Predicting whether a given set of people survive on the Titanic

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

Last synced: 20 Nov 2024

https://github.com/zsailer/skspline

A Scikit-learn interface on Scipy's spline.

scikit-learn scipy

Last synced: 22 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: 20 Nov 2024

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: 15 Nov 2024

https://github.com/mpoojithavigneswari/bangalore-house-price-prediction

This project involves creating a website that predicts Bangalore house prices with 94.65% accuracy using a machine learning algorithm.

data-analysis data-science flask-server machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 15 Nov 2024

https://github.com/henrytseng/example_docker_scikit-learn

A quick example of using Scikit-Learn from a Docker container

docker scikit-learn

Last synced: 01 Dec 2024

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: 21 Nov 2024

https://github.com/blaz-cerpnjak/student-dropout-prediction

Student dropout predictions based on grades and other info. Classification problem with MLPClassifier.

classification machine-learning mlpclassifier neural-networks poetry predicting-student-dropout python scikit-learn scikit-learn-pipelines

Last synced: 22 Nov 2024

https://github.com/anty-filidor/cyberbullying-detector

NLP bullying detector for tweets with ML model training pipeline deployed as web-app with CICD

deployment-system flask-api machine-learning nlp python scikit-learn

Last synced: 01 Dec 2024

https://github.com/rtmigo/skifts_py

Search for the most relevant documents containing words from a query. Uses Scikit-learn and Numpy

cosine-similarity information-retrieval numpy python scikit-learn text-mining tf-idf

Last synced: 01 Dec 2024

https://github.com/s0fft/learning-lab

Code Notes & Test-Learn // Micro Pet-Projects: Python / Asynchrony / FastAPI / Django-Tastypie / Parsing / SQL / Docker / DS / ML / etc.

asynchrony data-science django docker fastapi jupyter-lab jupyter-notebook mashine-learning matplotlib notes numpy pandas parsing python3 scikit-learn seaborn sql sqlalchemy tastypie telegram-bot

Last synced: 15 Nov 2024

https://github.com/atharvapathak/size_estimator_project

The Size Estimator 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 Nov 2024

https://github.com/netcodez/climate-prediction-pipeline

Predicting London's climate using machine learning techniques. This project aims to forecast mean temperature in Celsius (°C) using various regression models and logging experiments with MLflow

huggingface machine-learning mlflow mlflow-tracking mlflow-tracking-server mlops python scikit-learn streamlit

Last synced: 15 Nov 2024

https://github.com/jayanthpotluri5513/chatviewapp

The ChatView App is an interactive tool for analyzing WhatsApp chat data. Utilizing TensorFlow, Keras, and Streamlit, it allows users to import .txt files, perform sentiment analysis, and visualize chat patterns and keyword trends, enhancing understanding of conversations.

deep-learning keras machine-learning nlp scikit-learn tensorflow

Last synced: 20 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/moeeinaali/nlp-lsa

Applying Latent Semantic Analysis (LSA) to text data using scikit-learn.

lsa nlp scikit-learn

Last synced: 17 Nov 2024

https://github.com/lexxai/goit_python_ds_hw_04

Модуль 4. Класифікація та оцінка роботи моделі. Лінійна регресія: перенавчання та регуляризація

lasso-regression linear-regression numpy pandas python red regression ridge-regression scikit-learn

Last synced: 24 Nov 2024

https://github.com/sudarshanc00/brain-tumor-classification

This project uses a deep learning model in PyTorch to classify brain MRI images into four tumor types, aiding early diagnosis and treatment planning. Two ResNet-based models were developed and optimized, achieving high accuracy to support healthcare professionals in identifying tumor categories.

matplotlib numpy pytorch resnet scikit-learn streamlit

Last synced: 20 Nov 2024

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 Nov 2024

https://github.com/jihoonerd/restricted-discriminant-analysis

RDA implementation compatible with Scikit-learn API

discriminant-analysis rda scikit-learn

Last synced: 15 Nov 2024

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 Nov 2024

https://github.com/lexxai/goit_python_ds_hw_06

Модуль 6. Навчання без вчителя.  Кластерізація. KMeans. Principal Component Analysis

dbscan-clustering hdbscan-clustering kmeans kmeans-clustering opentsne optics-clustering pca python scikit-learn tsne

Last synced: 24 Nov 2024

https://github.com/epomatti/python-machine-learning

Simple examples of ML using Python

machine-learning python scikit-learn

Last synced: 17 Nov 2024

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. Includes descriptive, predictive, and prescriptive analytics, machine learning, and decision strategies.

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

Last synced: 17 Nov 2024

https://github.com/bsamseth/triangular-regressor

A scikit-learn compatible implementation of a 2D triangular regressor.

scikit-learn triangulation

Last synced: 13 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: 21 Nov 2024

https://github.com/alisonmitchell/titanic

Exploration of a subset of the Titanic passenger manifest to create a predictive classification model to determine which passengers were more likely to survive.

deep-learning keras machine-learning matplotlib numpy pandas python scikit-learn scipy seaborn tensorflow

Last synced: 15 Nov 2024

scikit-learn Awesome Lists
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scikit-learn Categories
Other Awesome Lists 64 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