Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

scikit-learn

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

https://github.com/akash-nath29/mnist_test

Handwritten digit recognition API using Scikit-Learn and FastAPI

fastapi machine-learning scikit-learn

Last synced: 09 Feb 2025

https://github.com/xprithvi/random-forest-regressor

This Jupyter notebook serves as a machine learning template to quickly make predictions and analyse feature importance in a dataset.

data-science feature-extraction machine-learning random-forest random-forest-regression scikit-learn

Last synced: 20 Jan 2025

https://github.com/shreeparab1890/duplicate-question-predictor

The ipython notebook is working to build a model which will detect duplicate questions if two questions pair are given.

bag-of-words nlp nlp-machine-learning nltk numpy pandas python random-forest scikit-learn sklearn streamlit

Last synced: 01 Jan 2025

https://github.com/bilgenurbekar/turkishcyberbullying

Contains fine-tuned BERT models and results in the text classification category using Turkish social media data

bert-fine-tuning huggingface-transformers matplotlib numpy pandas python pytorch scikit-learn transformers

Last synced: 09 Feb 2025

https://github.com/miguellopezvirues/azure_keyword_cpc

Development and deployment of simple regression model in Azure Machine Learning.

azureml deplyment machine-learning mlflow pandas scikit-learn

Last synced: 24 Dec 2024

https://github.com/johanneswiesner/skplot

A python package for extracting, plotting and reporting information from one or multiple sklearn classification & prediction pipelines.

plotting python scikit-learn sklearn visualization

Last synced: 11 Jan 2025

https://github.com/mnj-tothetop/english-handwritten-characters-recognizer

A handwritten english character recognizer [0-9, A-Z, a-z] made by using a Dataset of 3409 images. Tensorflow, Keras, Scikit-learn, and OpenCV was used to implement the Convolution Neural Network (CNN). Matplotlib and Seaborn were used to visualize the data.

artificial-intelligence convolutional-neural-networks keras matplotlib opencv-python scikit-learn seaborn tensorflow

Last synced: 21 Jan 2025

https://github.com/mohammad95labbaf/churn-prediction

This project aims to predict customer churn using machine learning algorithms. The project includes data preprocessing, feature engineering, and model evaluation.

adaboost bagging churn churn-analysis churn-prediction decisiontree ensemble-learning knn randomforest scikit-learn sklearn svm voting

Last synced: 09 Feb 2025

https://github.com/jeffandyalltogether/mlrecommendationsystem

project code for a recommendation system for Amazon using collaborative filtering, ranking, and matrix factorization to enhance customer satisfaction and product discovery.

eda matplotlib pandas python scikit-learn seaborn tensorflow

Last synced: 02 Feb 2025

https://github.com/i30101/mathworks2024

Coding tools for 2024 MathWorks Math Modeling Challenge

machine-learning mathematical-modelling python scikit-learn

Last synced: 12 Jan 2025

https://github.com/abdelrahman-amen/housing-price

Predicting housing prices with machine learning regression models. This project implements Linear Regression, Random Forest, and Decision Tree models for accurate predictions.

decision-tree housing-price-prediction linear-regression machine-learning python random-forest regression-analysis scikit-learn

Last synced: 11 Feb 2025

https://github.com/javi-cc/python-ml-portcanto

Portcanto és un projecte de simulació d'un trajecte en bicicleta. S'ha definit 4 tipus de ciclistes que es diferencien en el temps que tarda a fer el trajecte. L'objectiu és descobrir els 4 patrons amb l'algoritme de clustering KMeans.

clustering docker docker-compose kmeans machine-learning mlfow pydoc pylint python scikit-learn testing venv

Last synced: 02 Feb 2025

https://github.com/chengetanaim/beatrecommendersystembackend

A system for music producers and rappers/singers. I was trying to implement the product recommendation feature for music uploaded by producers. I used the collaborative filtering algorithm to be able to recommend songs to users.

fastapi scikit-learn sqlalchemy unsupervised-learning

Last synced: 09 Feb 2025

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/zenitsu272/fault-detection-ml

Machine Learning based Fault Detection in machines using sensor data

artificial-intelligence decsion-tree machine-learning pandas pandas-dataframe pandas-python scikit-learn

Last synced: 02 Feb 2025

https://github.com/mohammedhaq/safestream

SafeStream is a machine learning project that utilizes machine learning to predict the potability of water. By analyzing various water quality parameters, SafeStream helps in determining whether a water source is safe for consumption. This project leverages Python, PyTorch, and scikit-learn.

logistic-regression machine-learning neural-network python pytorch scikit-learn

Last synced: 02 Feb 2025

https://github.com/allanreda/telco-customer-churn-predictor-app

A web-based machine learning application that predicts customer churn using a logistic regression model. Built with Scikit-Learn for model training, Gradio for the user interface, and deployed on Google Cloud App Engine. The app allows users to input customer data and receive predictions on churn risk to support business decision-making.

app-engine data-visualization deployment google-cloud gradio hyperparameter-tuning logistic-regression machine-learning numpy pandas scikit-learn

Last synced: 28 Dec 2024

https://github.com/adi3042/sensor-fault-detection

🔍⚙️ Ensure Reliable Operations! Detect anomalies and prevent disruptions with our Sensor Fault Detection system. Explore advanced classification and regression techniques to identify and address sensor faults effectively. Your path to robust and accurate sensor data begins here! 🚨🔧 SensorFaultTech

classification css datetime fault-detection flask functools html ipykernel jupternotebook machine-learning numpy pandas python3 readme regression scikit-learn sensor setuptools venv

Last synced: 30 Dec 2024

https://github.com/shamikaredkar/nextbinge-old

NextBinge is a personalized movie recommender system designed to suggest movies similar to the ones you've watched and liked. It leverages content-based filtering, recommending movies by analyzing genres, keywords, cast, and crew information.

machine-learning nlp-machine-learning python scikit-learn scikitlearn-machine-learning streamlit streamlit-webapp

Last synced: 20 Jan 2025

https://github.com/adi3042/credit-card-fault-detection

🔍💳 Secure Your Finances! Detect anomalies and safeguard transactions with our Credit Card Fault Detection system. Dive into cutting-edge classification techniques to identify fraud and protect financial data. Your journey to secure payments starts here! 🚨🔒 FraudDetectionTech

classification credit-card css datetime fault-detection flask functools html ipykernel jupyternotebooks machine-learning numpy pandas python3 readme scikit-learn setuptools venv

Last synced: 30 Dec 2024

https://github.com/ezeparziale/tweet-clasification

:bird: Tweet sentiment analysis

bootstrap flask nltk python scikit-learn

Last synced: 20 Jan 2025

https://github.com/oneapi-src/predictive-asset-health-analytics

AI Starter Kit for Predictive Asset Maintenance using Intel® optimized version of XGBoost

machine-learning scikit-learn

Last synced: 05 Nov 2024

https://github.com/githubuserpek/cnn-based_handwritten_digit_recognition

This repository contains a project focused on handwritten digit classification using a Convolutional Neural Network (CNN). The goal was to classify digits (0-9) from the widely-used MNIST dataset.

alphabet-recognition artificial-neural-networks cnn-keras datasets docker fastapi flask html machine-learning neural-networks pillow pooling-max-average pytorch scikit-learn

Last synced: 26 Jan 2025

https://github.com/oneapi-src/customer-churn-prediction

AI Starter Kit for customer churn prediction using Intel® Extension for Scikit-learn*

machine-learning scikit-learn

Last synced: 05 Nov 2024

https://github.com/samkazan/structural_discovery_of_macromolecules_data_analysis

This research project uses machine learning techniques and neural network to uncover key factors that contribute to successful protein structure discovery using Python and R

classification clustering ipython-notebook jupyter-notebook keras-neural-networks keras-tensorflow machine-learning neural-network numpy python r rmarkdown scikit-learn scipy tensorflow

Last synced: 12 Jan 2025

https://github.com/alaazameldev/text-based-search-engine

Implementation of a search engine using TF-IDF and Word Embedding-based vectorization techniques for efficient document retrieval

chromadb fastapi gensim-word2vec nltk numpy precision-recall python scikit-learn tf-idf-vectorizer

Last synced: 09 Feb 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/adamouization/superconductors-critical-temperature-predictions-regression

:chart_with_upwards_trend: Machine Learning & Data Visualisation/Processing techniques for predicting the critical temperatures required for different superconductors to conduct electrical current with no resistance.

jupyter jupyter-lab jupyter-notebook machine-learning matplotlib matplotlib-pyplot numpy pandas prediction python python-3 regression regression-algorithms scikit-learn scikitlearn-machine-learning scipy

Last synced: 05 Jan 2025

https://github.com/lefteris-souflas/the-algorithmic-approach-to-winning-guess-who

This repository provides a systematic approach to winning the "Guess Who?" game through advanced machine learning techniques. It offers a comprehensive methodology for enhancing gameplay strategy and optimizing decision-making processes with meticulous attention to detail.

decision-tree drawio gradient-boosting graphviz-dot lightgbm machine-learning matplotlib numpy pandas python random-forest scikit-learn

Last synced: 12 Jan 2025

https://github.com/notshrirang/m2connex

M2ConneX is an all-encompassing platform specifically crafted for MMCOE alumni, enabling seamless communication, networking, and collaboration. It provides tailored recommendations for connections, posts, and job opportunities based on each user's unique skills and experience.

django django-rest-framework scikit-learn

Last synced: 11 Feb 2025

https://github.com/ghoumbadji/analyzing-customer-churn-for-a-telecom-company

The project involves utilizing various machine learning techniques, both supervised and unsupervised, to detect customer churn and identify the key factors contributing to it.

churn-analysis churn-prediction kaggle machine-learning pandas random-forest-classifier scikit-learn

Last synced: 26 Dec 2024

https://github.com/ismaelvr1999/air-quality-clustering

This project focuses on analyzing air quality data and categorizing it into clusters using the K-Means algorithm.

jupyter-notebook machine-learning matplotlib pandas python scikit-learn

Last synced: 09 Feb 2025

https://github.com/deliprofesor/game-search-volume-prediction-machine-learning-models-and-forecasting

This repository uses machine learning models like Random Forest, XGBoost, LightGBM, and time-series forecasting with Prophet to predict game search volumes. Additionally, Grid Search is applied for hyperparameter tuning of the LightGBM model.

data-cleaning data-science data-visualization feature-selection forecasting-models game-search grid-search hyperparameter-tuning lightgbm machine-learning pandas prophet python random-forest scikit-learn time-series-analysis time-series-forecasting xgboost

Last synced: 26 Dec 2024

https://github.com/sayamalt/airline-passenger-satisfaction-classification

Successfully developed a machine learning model to predict Airline Passenger Satisfaction by building an end-to-end MLOps pipeline. It integrates DVC for data versioning, a Dockerfile for containerization, and CI/CD using GitHub Actions for automated deployment.

azure-web-app-service ci-cd-pipeline classification docker-container dvc-pipeline experiment-tracking exploratory-data-analysis feature-engineering github-actions hyperparameter-tuning machine-learning mlflow mlflow-tracking mlops-workflow model-registry model-training-and-evaluation model-versioning optuna scikit-learn

Last synced: 11 Feb 2025

https://github.com/gustaminas/ai_primer---flatland

A project from the AI_primer course at Vilnius university.

cnn-keras data-augmentation data-mixup dropout-keras scikit-learn shape-classification

Last synced: 01 Feb 2025

https://github.com/kumartusha/machine_learning_fundamentals

🤖 Machine Learning Journey 🚀 A repository showcasing my learning journey in Machine Learning with hands-on projects, algorithms, and practice notebooks.

matplotlib numpy pandas python3 scikit-learn seaborn sql sqlite

Last synced: 02 Feb 2025

https://github.com/myself-aas/predict-influence-of-social-media-and-other-socio-demographic-factors-on-study-duration

'The Study Duration Prediction Web App' uses machine learning to predict student study time based on factors like GPA, family background, social media engagement, and personal influences. Built with Flask and scikit-learn, it offers personalized insights into how lifestyle choices affect academic performance and study habits.

flask-application machine-learning machine-learning-algorithms prediction-model python scikit-learn scikitlearn-machine-learning webapp

Last synced: 19 Jan 2025

https://github.com/nisch-mhrzn/house_prediction

This project predicts house prices using data exploration, feature engineering, and machine learning models like Linear Regression and Random Forest. It demonstrates how to optimize models and evaluate their performance to accurately forecast house prices.

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 02 Feb 2025

https://github.com/bilalm04/email-spam-classifier

A machine learning project that classifies emails as spam or not spam using Logistic Regression, with a deployable Flask API for real-time classification.

api flask jupyter-notebook machine-learning matplotlib nlp numpy pandas python scikit-learn

Last synced: 09 Feb 2025

https://github.com/thammami01/simple-recruitment-ml

Simple recruitment app that allows job posting/application, and viewing regression/classification figures based on entries.

flask matplot-lib mongodb python scikit-learn

Last synced: 14 Jan 2025

https://github.com/vibhore-sagar/stock-movement-analysis-based-on-social-media-sentiment

This project aims to develop a machine learning model that predicts stock movements by analyzing sentiment in social media discussions (Reddit posts).

joblib numpy pandas praw python scikit-learn textblob-sentiment-analysis yfinance

Last synced: 02 Feb 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/ledsouza/machine-learning-semisupervisionado

Este projeto utiliza algoritmos de aprendizado de máquina semi-supervisionado para classificar a qualidade do leite como alta, média ou baixa.

data-science joblib machine-learning machine-learning-algorithms pandas python scikit-learn

Last synced: 14 Jan 2025

https://github.com/thiagohrcosta/machinelearning-temperature

A Small Machine Learning application leveraging Scikit-Learn and statistical learning to extract knowledge from data without explicit programming.

machine-learning numpy pandas python3 scikit-learn

Last synced: 03 Feb 2025

https://github.com/siddhesh-agarwal/cognizant-prodigi-22

Supply chain event predictability and Visibility

fastapi javascript python react scikit-learn solidity sqlite typescript

Last synced: 14 Jan 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/thiagohrcosta/movieapp-ml

The Movie APP is a project created to apply some of the concepts learned throughout the post-graduation degree at XP Educação in Artificial Intelligence with an emphasis on Machine Learning. While this project is not integrated into the curriculum of the course, some of the concepts used were learned during the program.

docker flask-api machine-learning mysql-database postgresql python scikit-learn

Last synced: 03 Feb 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/5hraddha/optimize-oil-well-locations

In the quest for harnessing valuable energy resources, the OilyGiant mining company wants to expand its operations by discovering new oil well locations. To achieve this, a data-driven approach is adopted, leveraging geological exploration data from three distinct regions and employing techniques in data analysis and modeling.

linear-regression numpy pandas scikit-learn supervised-learning

Last synced: 07 Jan 2025

https://github.com/adamelliotfields/ml

Machine learning notebooks

machine-learning notebooks scikit-learn

Last synced: 11 Jan 2025

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

Jupyter Notebook - Predicting bike rental numbers based on climate and temporal data

decision-tree-classifier decision-tree-regression jupyter-notebook machine-learning scikit-learn

Last synced: 09 Feb 2025

https://github.com/5hraddha/megaline-plan-recommendations

Megaline is a telecom operator and it offers its clients two prepaid plans, Surf and Ultimate.Megaline has found out that many of their subscribers use legacy plans. They want to develop a model that would analyze subscribers' behavior and recommend one of Megaline's newer plans: Smart or Ultra.

decision-tree-classifier logistic-regression random-forest-classifier scikit-learn supervised-learning

Last synced: 07 Jan 2025

https://github.com/joekakone/prostate-cancer-prediction

Predict Prostate Cancer Diagnosis using ML

machine-learning scikit-learn

Last synced: 14 Jan 2025

https://github.com/bniladridas/churnprediction

Customers who'll likely stop using subscriptions.

dataset keras numpy pandas scikit-learn seaborn

Last synced: 21 Jan 2025

https://github.com/hilarionengarejr/movie-recommender-app

Sentiment analysis on user reviews for movie recommendations using Content Based Filtering.

docker flask nltk numpy pandas python3 scikit-learn selenium

Last synced: 08 Feb 2025

https://github.com/debjyotisaha/web-application-projects

Web Applications developed with the help Python libraries and ML algorithms

algorithms cufflinks machine-learning matplotlib numpy pandas prediction python scikit-learn seaborn sklearn streamlit

Last synced: 10 Feb 2025

https://github.com/bniladridas/sentiment-analysis

A sentiment analysis project using Naive Bayes in Python.

jupyter-notebook pandas python scikit-learn

Last synced: 21 Jan 2025

https://github.com/ronylpatil/customer-churn-prediction

This is Machine Learning based project where different Ensemble Techniques are used to train our model. The whole project is created using Scikit-learn Pipeline.

machine-learning scikit-learn scikit-learn-pipelines

Last synced: 21 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/shaharband/calcofi-oceanographic-analysis

This repository contains an analysis of the CalCOFI (California Cooperative Oceanic Fisheries Investigations) dataset, which represents one of the longest and most complete time series of oceanographic and larval fish data in the world.

pandas regression scikit-learn

Last synced: 27 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/khanovico/energy-data-analysis

This is the cloud model analyzing real world dataset with BigQuery and other big-data analyzing tools. I implemented docker image for running this app on cross-platform environments.

big-data-processing bigquery docker google-app-engine jupyter-notebook mlflow python scikit-learn seaborn xgboost

Last synced: 09 Feb 2025

https://github.com/harris-giki/cancerdetectionmodel_ml

Simple Logistic Regression and Neural Network powered Machine Learning models that predicts whether a breast tumor is malignant or benign based on input features extracted from a breast cancer dataset.

cancer-detection development keras keras-tensorflow logistic-regression machine-learning neural-network scikit-learn streamlit tensorflow

Last synced: 03 Feb 2025

https://github.com/lucasfranklinsilva/rnn-lstm

Modelo de Prevenção de Falhas em Turbinas Simuladas Utilizando Redes Neurais Recorrentes

data-visualization deep-learning jupyter-notebook keras machine-learning neural-networks python scikit-learn

Last synced: 14 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/jazib-2004/face-mask-detection-using-cnns

Face mask detection can be very useful in environments like hospital emergency rooms or ICUs where wearing mask is mandatory. It can also help in pandemics like COVID where such models can detect if a person is wearing a mask or not. In this project, I used a Convolutional Nueral Network architecture to train a face mask detection algorithm based.

convolutional-neural-networks keras object-detection python scikit-learn tensorflow

Last synced: 13 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/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/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/altescy/xsklearn

Expanded scikit-learn for my research

python scikit-learn

Last synced: 26 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/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/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

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