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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/ejw-data/ml-clustering-crypto

Compares several machine learning clustering models to determine whether the currencies can be logically classified based on the given data

clustering python scikit-learn

Last synced: 22 Jan 2025

https://github.com/ejw-data/ml-classification-exoplanet

Classification of planets identified by Kepler telescope using multiple models and tuning using GridSearchCV

classification python scikit-learn

Last synced: 22 Jan 2025

https://github.com/jawwad-fida/data-science-salary-estimator

A tool that estimates data science salaries (MAE ~ $ 11K) to help data scientists negotiate their income when they get a job.

data-science machine-learning project scikit-learn

Last synced: 07 Jan 2025

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/miguellopezvirues/text_sentiment_classification_gamestop

A notebook on NLP sentiment analysis for text classification of game reviews between "positive", "neutral" and "negative".

machine-learning nlp pandas python scikit-learn sentiment-analysis

Last synced: 24 Dec 2024

https://github.com/eljandoubi/deploy-ml

Deploying a ML Model to Cloud Application Platform with FastAPI

ci-cd fastapi github-actions gunicorn pandas pytest render scikit-learn uvicorn

Last synced: 24 Jan 2025

https://github.com/dayanoo/medicine-recommendation-system

The project aims to recommend medicines based on product uses similarity, side effects, and product review weightages. Powered by NLP techniques like TF-IDF and Cosine Similarity, the system provides intelligent and user-centric recommendations.

agentic-workflow aiagents api eda encoding flask langchain language-model medical-diagnosis-ai openai recommendation-system render-template scikit-learn sklearn-library

Last synced: 09 Feb 2025

https://github.com/mrktsm/spam-email-recognizer

Long Short-Term Memory (LSTM) network trained to classify emails as spam or non-spam. It processes email content to make accurate predictions and can be integrated into projects for efficient spam detection and email management.

data-preprocessing keras lstm-neural-network model-architecture nltk numpy pandas performance-evaluation scikit-learn spam-classification-model tenserflow training-the-model

Last synced: 17 Jan 2025

https://github.com/indhra/hands_on_machine_learning

Core ML topics: short summaries , code snippets, Interview prep

keras machine-learning python scikit-learn tensorflow2

Last synced: 17 Jan 2025

https://github.com/siddhantborse/atmosviz

Atmos Viz is a Python-based project designed to analyze, visualize, and predict global temperature trends across various cities and countries using time-series analysis and advanced data science techniques. Leveraging historical climate data, this project integrates machine learning models, geospatial mapping, and interactive visualizations to unco

geopandas geospatial-analysis gis matplotlib numpy pandas plotly python scikit-learn seaborn shapefiles time timeseries-analysis timeseries-data

Last synced: 12 Feb 2025

https://github.com/kr1shnasomani/covidxraynet

Detection of COVID-19 from chest X-ray images using various CNN models - ResNet50, VGG16 and Xception

computer-vision deep-learning keras matplotlib neural-network numpy opencv pandas scikit-learn tensorflow

Last synced: 12 Feb 2025

https://github.com/sohv/bangalore-house-price

A tool to find house prices in Bangalore

jupyter-notebook scikit-learn streamlit

Last synced: 12 Feb 2025

https://github.com/kr1shnasomani/firefinder

Fire detection from images using CNN (ResNet50 architecture)

computer-vision deep-learning keras matplotlib neural-network numpy opencv scikit-learn tensorflow

Last synced: 12 Feb 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/kr1shnasomani/tonesense

Speech emotion recognition from audio clips using CNN

deep-learning keras librosa matplotlib neural-network numpy pandas scikit-learn tensorflow

Last synced: 12 Feb 2025

https://github.com/kr1shnasomani/orthovision

Bone fracture detection from X-ray image using CNN (EfficientNetB3 architecture)

computer-vision deep-learning keras matplotlib neural-network numpy opencv pillow scikit-learn tensorflow

Last synced: 12 Feb 2025

https://github.com/kr1shnasomani/sentimentscope

Sentiment analysis on movie review using TensorFlow and GloVe embeddings

deep-learning keras matplotlib natural-language-processing neural-networks numpy pandas scikit-learn tensorflow

Last synced: 12 Feb 2025

https://github.com/asut00/machine-learning-piscine_42ai

Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.

linear-regression machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 12 Feb 2025

https://github.com/vikneshsrv24/customer-segmentation

Segregation of customers based on purchasing pattern for targeted marketing.

jupyter-notebook matplotlib pandas python scikit-learn

Last synced: 12 Feb 2025

https://github.com/kr1shnasomani/currencyshield

Fake and real currency detection using ResNet50 and image classification techniques

computer-vision deep-learning keras matplotlib neural-network numpy scikit-learn tensorflow

Last synced: 12 Feb 2025

https://github.com/altescy/xsklearn

Expanded scikit-learn for my research

python scikit-learn

Last synced: 26 Jan 2025

https://github.com/williyam-m/company-registration-trends

Utilized Linear Regression from scikit-learn to predict future company registration trends.

flask matplotlib numpy pandas-python scikit-learn

Last synced: 16 Jan 2025

https://github.com/williyam-m/movie-recommendation-system

Developed a web app with a cosine similarity machine learning model for personalized recommendations based on user history, likes, bookmarks, and activity. Implemented user auth and CRUD operations for movies.

django machine-learning numpy pandas prediction-model python scikit-learn

Last synced: 16 Jan 2025

https://github.com/rosieoh/emergency_dataanalysis

오픈데이터분석-응급의료체계 방안 정책 제안 데이터 분석

ipython matplotlib numpy pandas python scikit-learn scipy

Last synced: 19 Jan 2025

https://github.com/raduldev/ml-projects

End To End Machine Learning Project guided by Krish Naik from Ineuron.

catboost dill flask-application numpy pandas python scikit-learn xgboost

Last synced: 29 Jan 2025

https://github.com/markdouthwaite/lingo-demo

A demo project showing how to effectively deploy Scikit-Learn Linear Models in Go into Google Cloud Run.

go golang google-cloud-platform python scikit-learn

Last synced: 29 Jan 2025

https://github.com/aneeshmurali-n/ann-diabetes-prediction

Predicting diabetes progression using an Artificial Neural Network (ANN). This project leverages the scikit-learn diabetes dataset for training and evaluation. Includes data preprocessing, model building, and performance visualization.

ann data-preprocessing data-visualization deep-learning diabetes-prediction exploratory-data-analysis keras machine-learning matplotlib neural-network numpy pandas regression scikit-learn seaborn tensorflow visualization

Last synced: 11 Feb 2025

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/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: 23 Jan 2025

https://github.com/ksasi/boston_housing

Predicting Boston Housing Prices - Udacity

machine-learning numpy pandas python scikit-learn

Last synced: 01 Feb 2025

https://github.com/vanilladucky/housing-prediction

This is a data analytics and machine learning project that I undertook using a housing dataset on Kaggle in order to put my machine learning knowledge to practice and some practical application.

data-science machine-learning python scikit-learn

Last synced: 23 Jan 2025

https://github.com/abdel-17/facial-recognition

Facial recognition using Machine Learning in Python

machine-learning pca python scikit-learn

Last synced: 25 Dec 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: 29 Jan 2025

https://github.com/dragonscypher/feastfinderai

Discover the best dining spots with FeastFinderAI!

folium pandas python scikit-learn sql

Last synced: 07 Jan 2025

https://github.com/lucianoscarpaci/news-data-classification

Using the Reuters dataset, this example illustrates the process of data preprocessing, model definition and training, and performance evaluation.

keras model-definition model-training performance-evaluation preprocessing-data reuters scikit-learn seaborn tensorflow

Last synced: 17 Jan 2025

https://github.com/roushankhalid/datascience-cookbook

This repository is a comprehensive guide to mastering Data Science and Machine Learning, covering Python fundamentals, key libraries (NumPy, Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn), essential ML algorithms, and practical techniques for data visualization, research, and project deployment to solve real-world problems.

api flask-application jupyter-notebook machine-learning-algorithms matplotlib ml-engineering numpy pandas python scikit-learn seaborn sql sqlserver

Last synced: 29 Jan 2025

https://github.com/himanshkr03/comparative_performance_on_fashionmnist

This repository explores various machine learning and deep learning models for classifying images from the Fashion MNIST dataset. It includes data exploration, model training, evaluation, and visualization techniques to gain insights into the classification task.

deep-learning fashion-mnist fine hybrid-model image-classification keras machine-learning scikit-learn tensorflow xgboost-algorithm

Last synced: 17 Jan 2025

https://github.com/abdullahalzubaer/feature-selection-ranking

In-depth analysis regarding feature selection and ranking.

feature-ranking feature-selection random scikit-learn

Last synced: 05 Feb 2025

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: 29 Jan 2025

https://github.com/monish-nallagondalla/universal-bank

Credit Card Ownership Prediction A machine learning project that predicts credit card ownership using features like age and income, balancing class distributions for improved accuracy.

classification-models credit-card-prediction data-analysis data-classification decision-tree-classifier imbalanced-datasets machine-learning model-evaluation python scikit-learn

Last synced: 11 Feb 2025

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: 13 Feb 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/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: 29 Jan 2025

https://github.com/ejw-data/ml-classification-credit-risk

Compares several machine learning classification models to determine whether to approve or reject a loan request

classification python scikit-learn

Last synced: 22 Jan 2025

https://github.com/cr00z/pythonmlbackup

Backup my Python and ML/DL projects

python scikit-learn

Last synced: 21 Jan 2025

https://github.com/djdhairya/football-match-prediction

In this project, we'll predict the winner of football matches in the English Premier League (EPL).

jupyter-notebook machine-learning pandas python3 requests scikit-learn vscode

Last synced: 07 Jan 2025

https://github.com/karimosman89/fraud-detection

Identify fraudulent transactions.Develop a machine learning model that can identify fraudulent transactions in credit card data or insurance claims.Show how your model can reduce financial losses by flagging suspicious activities.

anomaly-detection lightgbm pandas python scikit-learn xgboost

Last synced: 19 Jan 2025

https://github.com/karimosman89/credit-scoring

Evaluate the creditworthiness of individuals.Develop a credit scoring model that evaluates the creditworthiness of individuals based on historical data.Help financial institutions assess risk more accurately.

decision-trees ensemble-methods logistic-regression pandas python scikit-learn

Last synced: 19 Jan 2025

https://github.com/srikarveluvali/heart-disease-prediction-ml

This machine learning project aims to predict the presence or absence of heart disease in individuals based on a set of health-related features. By utilizing a dataset containing information about patients, we employ various machine learning techniques and data analysis to build a predictive model.

exploratory-data-analysis machine-learning python scikit-learn

Last synced: 23 Jan 2025

https://github.com/aishwaryagm1999/insurance-workflow-management

This project is an Insurance Workflow Management System designed to streamline policy management, claims processing, and fraud detection. It includes user account management, customer feedback analysis via NLP, alert notifications through SMS, and a fraud detection model, providing a secure, efficient solution for insurance operations.

css fraud-detection html json labelimg machine-learning natural-language-processing nlp opencv python qr-code-generator random-forest-classifier scikit-learn sms-notification tensorflow textblob twilio user-interface

Last synced: 19 Jan 2025

https://github.com/msikorski93/breast-cancer-classifying

Identifying and assigning breast cancer diagnosis using machine learning methods, based on observations in WDBC dataset. All classifiers have been evaluated and performed well for this task.

breast-cancer classification k-nearest-neighbours keras logistic-regression naive-bayes neural-networks scikit-learn tensorflow

Last synced: 09 Jan 2025

https://github.com/miguellopezvirues/capgemini_forecast

A ML timeseries forecasting project for the selection process of a position as a Data Scientist at Capgemini.

machine-learning python scikit-learn skforecast time-series-analysis

Last synced: 24 Dec 2024

https://github.com/andystmc/nextflownyc

Developed a machine learning model (Bidirectional LSTM) to forecast NYC traffic volumes using 10 years of automated traffic count data. Achieved strong predictive accuracy, demonstrating the power of deep learning for urban traffic analysis.

data-analysis data-cleaning data-science data-visualization exploratory-data-analysis feature-engineering hyperparameter-tuning jupyter-notebook lstm-neural-networks machine-learning numpy pandas predictive-modeling python3 scikit-learn tensorflow-keras traffic-flow-forecasting

Last synced: 07 Jan 2025

https://github.com/msikorski93/protein-tertiary-structure

Performing a regression task for estimating residue size based on given physicochemical properties of protein tertiary structures (CASP 5-9).

bioinformatics gradient-boosting multilayer-perceptron-network protein-structure-prediction regression-algorithms scikit-learn tensorflow

Last synced: 09 Jan 2025

https://github.com/jhylin/ml1-1_small_mols_in_chembl

Polars dataframe library and logistic regression in scikit-learn (update)

logistic-regression machine-learning parquet-files polars-dataframe scikit-learn

Last synced: 22 Jan 2025

https://github.com/saswatamcode/datascienceapi

This is a RESTful API built using Flask and Scikit-Learn. It provides a host of Classification and Regression algorithms that can be used readily and returns results in the form of predictions, confusion matrices, accuracy scores and more.

api flask ml python3 scikit-learn

Last synced: 11 Feb 2025

https://github.com/msikorski93/alzheimer-s-disease-classification

A multi classification using scikit-learn and TensorFlow models on MRI scans of patient's brains.

alzheimers-disease classification efficientnetb0 inceptionv3 knn-classifier mri-brain random-forest scikit-learn svc tensorflow

Last synced: 09 Jan 2025

https://github.com/billy0402/python-machine-learning

A learning project from NTUB machine learning course.

ai course jupyter-notebook python scikit-learn tensorflow

Last synced: 14 Jan 2025

https://github.com/hmasdev/sklearn-protocols

sklearn-protocols: protocols for sklearn regressors, classifiers and transformers

protocol python python3 scikit-learn

Last synced: 29 Dec 2024

https://github.com/khaymanii/big_mart_prediction_model

This model was built using Python and Logistic Regression Algorithm

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 21 Jan 2025

https://github.com/khaymanii/diabetes_prediction_model

This is a Machine learning model built using Python

matplotlib numpy pandas python scikit-learn

Last synced: 21 Jan 2025

https://github.com/kirtipratihar/python_libraries_for_ds

This repository serves as a comprehensive guide to Python programming for Data Science. It covers essential topics like data manipulation, data visualization, machine learning, and statistical analysis using popular libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn.

artificial-intelligence machine-learning numpy pandas python scikit-learn tensorflow

Last synced: 23 Jan 2025

https://github.com/khaymanii/calories-burnt-prediction-model

This model was built using Python and XGBoost Regression algorithm

matplotlib numpy pandas python scikit-learn

Last synced: 21 Jan 2025

https://github.com/khaymanii/house-price-prediction-model

This model was built using Python and XGBoost Regression algorithm

matplotlib numpy pandas python scikit-learn

Last synced: 21 Jan 2025

https://github.com/vietanh152/astrophysical-objects-classification

Project applies machine learning techniques to classify astrophysical objects using observational data from the Large Synoptic Survey Telescope (LSST).

adaboost adaptive-boosting-algorithm down-sampling gradient-boosting keras machine-learning neural-network python scikit-learn static-analysis supervised-learning support-vector-machines time-series time-series-analysis

Last synced: 09 Feb 2025

https://github.com/sahiltiwariiii/dssp

Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc

docker dotenv dvc flask machine-learning mlflow mlops mysql mysql-connector-python numpy pandas pymysql python python-dotenv scikit-learn seaborn sklearn-library statistics streamlit

Last synced: 31 Dec 2024

https://github.com/lingumd/neural_network_charity_analysis

Machine learning and neural networks used to create a binary classifier capable of predicting whether applicants will be successful if funded by Alphabet Soup.

deep-learning machine-learning matplotlib-pyplot neural-networks onehotencoder pandas scikit-learn seaborn standardscaler tensorflow

Last synced: 23 Jan 2025

https://github.com/shubhamkarampure/asl-streamlit-signlingo

streamlit based web-app for teaching sign language through real-time hand gesture recognition.

learning-exercise mediapipe opencv-python python scikit-learn sign-language streamlit-webapp

Last synced: 21 Jan 2025

https://github.com/khaymanii/rock-or-mine-detection_model

This is a Machine learning model built using Python to detect between rock and mine

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 21 Jan 2025

https://github.com/lilivalgo/machine-learning-projects

This repository hosts the machine learning project developed during my learning journey. It showcases my progress and the skills acquired in the field of machine learning

lag-feature linear-regression ml-models scikit-learn scipy-stats seaborn-plots

Last synced: 02 Feb 2025

https://github.com/daniel-furman/RecFeatureSelect

Feature selection functions (1) using the multi-collinearity matrix and recursively proceeding to a spearman threshold and (2) using Forward Stepwise Selection running on an ensemble sklearner (with options for HPO).

correlation-threshold machine-learning modeling multicollinearity recursion recursive-algorithm scikit-learn spearman-rho

Last synced: 20 Nov 2024

https://github.com/khaymanii/parkinsons-disease-detection-model

This model was built with Python and Support Vector Machine Algorithm

matplotlib numpy pandas python scikit-learn

Last synced: 21 Jan 2025

scikit-learn Awesome Lists
awesome-python-data-science 379 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 68 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