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

NumPy

NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

https://github.com/diogoribeiro7/vortex2d

2D vortex particle method (Gaussian-core) with RK4, viscosity, plots, animations

cfd matplotlib numpy python simulation vortex-method

Last synced: 12 May 2026

https://github.com/gmcgibbon/udacity-dlnd-project-1

Udacity Deep Learning Nanodegree - Project 1

deep-learning jupyter-notebook nn numpy udacity

Last synced: 13 May 2026

https://github.com/maroshmka/np-mlp-clf

Raw implementation of mlp classifier in python using numpy.

classification example-code learning machine-learning multilayer-perceptron neural-network numpy

Last synced: 14 May 2026

https://github.com/chicoyildiz/python-raytracing-demo

Interactive Python ray tracer (numpy + pygame) with a ceiling camera, dynamic resolution scaling, and a glowing bouncing fireball.

numba numpy python python3 raytracing

Last synced: 14 May 2026

https://github.com/pnguyen215/pycelize

Pycelize is a Flask application designed for processing Excel and CSV files. It provides RESTful APIs for common data operations including extraction, normalization, mapping, SQL generation, and file binding.

excel lib numpy openpyxl pandas py-app pycelize python-service python3

Last synced: 17 Jun 2026

https://github.com/dino-kupinic/pocolocosolver

algorithmic solution with 3D visualization

algorithms numpy panda3d puzzle pytest python solver

Last synced: 19 Jun 2026

https://github.com/gerardomacedo/ml-from-scratch

Logistic regression from scratch (NumPy) with tests and CLI; compared vs scikit-learn

ci-cd from-scratch logistic-regresion machine-learning numpy python unittest

Last synced: 23 Jun 2026

https://github.com/anushkapal28/maatri-care

MaatriCare is an AI-based healthcare application designed to provide personalized nutrition advice and maternal care recommendations for pregnant women, lactating mothers, and women in general.

gemini-api jupyter-notebook labelencoder numpy pandas python3 random-forest streamlit svm-training

Last synced: 18 Sep 2025

https://github.com/jain1shh/solar-flare-prediction

This repository contains code and data for predicting solar flare energy ranges using machine learning, based on NASA's RHESSI mission data. It includes preprocessing of FITS files into a unified CSV dataset and implements models like Gradient Boosting, Random Forest, and Decision Tree classifiers, achieving accuracies up to 87%.

data-visualization machine-learning numpy pandas python scikit-learn solar-flare-prediction

Last synced: 09 Apr 2026

https://github.com/jcardonamde/datasets_ml

This project analyzes cab and limousine travel data in New York City. This with the goal of predicting the total duration of trips within the city. Machine learning models were used.

data-science machine-learning machine-learning-algorithms matplotlib numpy pandas pipelines python seaborn sklearn

Last synced: 09 Apr 2026

https://github.com/n-t-raghava/the_sweet_16

This project detects faces in real-time from a webcam feed or an uploaded image and predicts age (in bins of 5 years) and gender (Male/Female). The model is based on OpenCV’s Deep Neural Network (DNN) module and pre-trained models for face, age, and gender detection.

caffemodel deep-learning flask numpy opencv python

Last synced: 09 Apr 2026

https://github.com/haseebulhassan437/lstm-next-word-predictor

A deep learning-based LSTM model for predicting the next word in a sequence using natural language processing techniques.

keras-tensorflow lstm numpy tensorflow

Last synced: 18 Apr 2026

https://github.com/ghaniketrajputp005/adobe-gensolve-hackathon-2024

This Project aims to identify, regularize, and beautify curves in 2D Euclidean space.

cv2 keras-tensorflow numpy os sklearn

Last synced: 07 Feb 2026

https://github.com/valmir-unicap/deteccao-de-mascaras-faciais

Experimento baseado no artigo: A Face Mask Detection Algorithm Based on YOLO

kaggle-dataset mobilenetv2 numpy opencv python torch yolo

Last synced: 12 Apr 2026

https://github.com/nagipragalathan/python_tutorial_for_data-science

This repository is a comprehensive guide for learning data science using Python. It covers various essential libraries and tools commonly used in the field of data science, including Jupyter Notebook, Matplotlib, NumPy, Pandas, Scikit-learn, and PyTorch.

datascience datavisualization deeplearning jupyter jupyter-notebook learning-by-doing learningresources machinelearning matplotlib numpy opensource pandas python python-script python3 pytorch pytorch-implementation scikitlearn tutorial

Last synced: 09 Apr 2026

https://github.com/dmarks84/ind_project_european-soccer-top-points-contributors--kaggle

Independent Project - Kaggle Dataset-- I worked on the European Soccer Dataset, using SQL (SQLite) to read in the data and then data wrangling before running statistical analysis and hypothesis testing on questions of who helps earn the most points for their team.

data-wrangling hypothesis-testing numpy p-values pandas python scipy-stats statistics t-test

Last synced: 09 Apr 2026

https://github.com/blinksta1ker/co2-prediction

EDA and Supervised ML model using Regression to predict Co2 Emissions from Vehicles

jupyter-notebook machine-learning numpy pandas python regression seaborn sklearn supervised-learning

Last synced: 09 Apr 2026

https://github.com/ashar97/advanced-machine-learning

Advanced Machine Learning MOOC Specialisation Assignments

keras numpy python3 tensorflow

Last synced: 09 Apr 2026

https://github.com/sunilvarma-l/zomato-data-analysis-using-python

its a Python-based project to analyze and visualize Zomato restaurant data. This project explores various aspects of restaurant data, such as customer reviews, restaurant ratings, locations, and cuisines, with the aim of uncovering insights and trends in the food industry.

googlecollab matplotlib numpy pandas python seaborn

Last synced: 09 Apr 2026

https://github.com/waghraj1699/codeclauseinternship_customer_segmentation_tool

Implementing customer segmentation using ML, covering exploring advantages, preprocessing, K-means clustering, and visualization.

data-preprocessing kmeans-clustering machine-learning numpy pandas visualization

Last synced: 08 May 2026

https://github.com/L-Gre/TradeFX-AI

A Python-based project exploring algorithmic trading strategies, including backtesting, real-time data integration, and predictive modeling with TensorFlow and Keras. Key topics include technical indicators, risk management, and leveraging AWS and broker APIs for automated trading.

algorithmic-trading aws backtesting broker-api keras machine-learning matplotlib numpy pandas portfolio-optimisation python real-time-data-integration risk-management technical-indicators tensorflow

Last synced: 26 Sep 2025

https://github.com/kumartusha/Data_Scientist-AI-ML-_Training_Anudip_Foundation

Anudip Foundation Data Analytics Training πŸ“Š A repository containing projects, assignments, and coursework from the Anudip Foundation Data Analytics training program. This includes work on: 🧹 Data Cleaning & Preprocessing πŸ“‰ Data Visualization & EDA πŸ“Š Statistical Analysis

excel matplotlib numpy pandas powerbi python scipy sql

Last synced: 27 Sep 2025

https://github.com/magnitopic/ft-linear-regression

Your first implementation of a machine learning algorithm. Predicting the price of a car by it's milage

42school ai ai-algorithm ft-linear-regression linear-regression machine-learning matplotlib numpy pandas prediction-algorithm python

Last synced: 16 Apr 2026

https://github.com/harmanveer-2546/house-price-prediction-

We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.

catboost-classifier linear-regression machine-learning matplotlib numpy pandas python random-forest seaborn svm

Last synced: 09 Apr 2026

https://github.com/jim-by/scrape_analysis_books

Scraping book data from the website books.toscrape.com and performing analysis on the collected data.

beautifulsoup json matplotlib numpy pandas python scipy scraping seaborn

Last synced: 09 Apr 2026

https://github.com/abdulsamie10/pythonbasics

This repository contains few tasks, which I developed just to get a strong grip on Python Programming Langauge.

ai labtasks lambda numpy python pythonlab

Last synced: 20 Apr 2026

https://github.com/lyubov0406/data_analyst_portfolio

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data-analysis matplotlib numpy pandas portfolio python scipy seaborn sql tableau visualization

Last synced: 09 Apr 2026

https://github.com/prashhhant213/exploratory-data-analysis-for-multinational-retail-corporation

Analysis via CLT and Visualization on Multinational Retail Corporation's data to provide insights and recommendations to improve their userbase.

math matplotlib numpy pandas python scipy-stats seaborn stats

Last synced: 09 Apr 2026

https://github.com/ayan6943/employee-attrition-prediction-with-machine-learning

Employee Attrition Prediction with Machine Learning | Analyzing HR data to predict employee turnover using Random Forest. Includes EDA, feature engineering, model training, and evaluation. Achieved 90% accuracy.

attrition employee machine-learning matplotlib numpy pandas python randomforestclassifier scikit-learn seaborn smote

Last synced: 09 Apr 2026

https://github.com/aravinda-1402/covid-detection-model-using-chest-x-ray

The objective of this project is to develop a Deep Learning Model to identify the X-Rays of healthy vs. Pneumonia (Corona) afflicted patients using the Chest X-Ray dataset, and use this model to power the AI application to test the Corona Virus in a faster phase.

classification cnn covid flask keras numpy pandas tensorflow

Last synced: 09 Apr 2026

https://github.com/jalijuhola/amazon-textual-reviews-recommender-

predicting score and recommending using amazon textual reviews

numpy pandas python scikit-learn typescript

Last synced: 09 Apr 2026

https://github.com/sk-g/mnist_beginners

Model search in traditional machine learning algorithms (non DL) and DL starter codes on MNIST dataset. This is a good starter code for beginners trying to learn about curse of dimensionality, overfitting and other concepts in general

keras machine-learning machine-learning-algorithms mnist mnist-beginners mnist-classification mnist-dataset numpy overfitting python pytorch pytorch-implmention resnet resnet-50 scikit-learn scikitlearn-machine-learning sklearn tensorflow

Last synced: 09 Apr 2026

https://github.com/nazmul-1117/100-days-of-machine-learning

I'm Nazmul so exited to start a new journey to learn 100 Days of Machine Learning. It's February 8, 2025. I'm so exited, let's see what happened insha'Allah

data-science machine-learning numpy pandas-dataframe python3 scikit-learn statistics

Last synced: 11 Aug 2025

https://github.com/hansalemaos/group_by_continuous_sequence

Groups lists/NumPy arrays by continuous sequence

group list numpy python

Last synced: 19 Feb 2026

https://github.com/sanchariii/health-assist-1

Health Assist web app uses the Streamlit framework to help users identify potential diseases. Simply input your symptoms, and the system will predict whether you have diabetes, heart disease, or Parkinson's disease. The system is designed to be quick and convenient, promoting early detection and timely medical intervention.

numpy pandas pickle streamlit-webapp svm-model

Last synced: 13 Aug 2025

https://github.com/tasninanika/australian-credit-approval-analysis-svm

This project uses a Support Vector Machine (SVM) Classifier to predict whether a credit application is approved (1) or denied (0) based on applicant features.

numpy pandas python3 scikit-learn svm-classifier

Last synced: 10 Apr 2026

https://gitlab.com/DLR-SY/beos

Beos is a legacy Fortran tool used to calculate the static and dynamic buckling behavior of flat/curved fiber composite structures.

fortran numpy python

Last synced: 16 Aug 2025

https://github.com/chandkund/loan-eligibility-prediction

This project is designed to predict the eligibility of loan applicants based on various factors such as income, credit history, and marital status. By analyzing historical loan application data, the model helps to determine whether a loan application should be approved or not.

data-analysis data-science data-visualization machine-learning-algorithms matplotlib numpy pandas python seaborn

Last synced: 09 Apr 2026

https://github.com/sukanyadutta52/topic_modeling

What are the most pressing concerns regarding β€˜Climate Change’ among tweeters according to Topic Modeling?

climate-change gensim matplotlib nltk numpy pandas pyldavis regular-expression spacy

Last synced: 09 Apr 2026

https://github.com/subhrajit77/ai-ml

My personal AI/ML projects repository

jupyter numpy pandas python

Last synced: 09 Mar 2026

https://github.com/harsha-yuvaraj/data-compression-and-decompression-tool

A specialized lossless file compression and decompression tool designed mainly for plain text, including programming files.

data-structures huffman-compression-algorithm lossless-compression-algorithm numpy python tkinter

Last synced: 15 Apr 2026

https://github.com/terrelbrinkley/python-projects

Python Scripts & Data Analyst Projects

aws numpy pandas python selenium

Last synced: 10 Apr 2026

https://github.com/ialam085/super_store_sales_analysis_python

The project is indeed focused on performing an exploratory data analysis (EDA) of Super Store Sales data from various perspectives, using comprehensive visualizations.

charts matplotlib numpy pandas python seaborn visualization

Last synced: 10 Apr 2026

https://github.com/ksganni/diabetes-prediction-using-machine-learning

πŸ”¬ A machine learning project that predicts diabetes likelihood using patient health metrics and multiple classification algorithms.

jupyter-notebook matplotlib numpy pandas python scikitlearn-machine-learning seaborn

Last synced: 28 Apr 2026

https://github.com/chandkund/customer-segmentation-using-k-means-clustering

Implemented K-Means Clustering to segment customers based on purchasing behavior, enabling targeted marketing strategies. Analyzed data, optimized clusters using the Elbow Method, and derived insights to enhance customer engagement and retention.

data-science kmeans-clustering machine-learning matplotlib numpy pandas python seaborn sklearn

Last synced: 10 Apr 2026

https://github.com/beyzabasarir/northwind-traders-analysis

Northwind dataset analysis using PostgreSQL, Python, and Power BI. Focused on sales, customers, shipping, and performance insights.

dashboard data-analysis data-visualization jupyter-notebook matplotlib numpy pandas postgresql powerbi python seaborn

Last synced: 10 Apr 2026

https://github.com/trivediayush/Accident-and-Drowsiness-Detection

Our college minor project is a comprehensive solution aimed at enhancing road safety. The project comprises two main components: an Accident Detection Model and a Real-Time Driver Drowsiness System.

accident-detection accidents-analysis college-project cvzone dlib-face-detection dlib-face-recognition face-detection face-recognition imutils minor-project numpy opencv pandas python python3 yolov8

Last synced: 22 Aug 2025

https://github.com/kunalshelke90/wine-quality-testing

This project is about creating a machine learning algorithm that can predict the quality of wine based on the given dataset. Different machine learning algorithms such as logistic regression, decision tree and random forest are used in this project.

eda feature-engineering flask machine-learning numpy pandas python

Last synced: 10 Apr 2026

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: 10 Apr 2026

https://github.com/balakrish001/python-course

The Python course provides a thorough foundation in Python programming, starting with core concepts and progressing to OOP. It covers essential libraries like NumPy and Pandas for data manipulation and analysis. You'll also learn how to send emails using Python's SMTP library and interact with APIs for real-world applications,

api numpy oops-in-python pandas problem-solving python smtp

Last synced: 10 Apr 2026

https://github.com/aymen016/cosmic-mystery-challenge-2912

"Explore the depths of space and unravel cosmic mysteries in the year 2912 with our Cosmic Mystery Challenge repository. Dive into data science adventures as you predict the fate of passengers aboard the Spaceship Titanic after a collision with a spacetime anomaly. Join us in reshaping history and saving lives across the universe!"

kaggle matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python scikit-learn scikitlearn-machine-learning seaborn

Last synced: 10 Apr 2026

https://github.com/kwasi-dankwa/game-sales

This project investigates why Nintendo’s global market share fluctuated between 2010–2016, identifies top-performing genres and regions, and builds predictive models to forecast sales and regional performance. It culminates in specific, actionable recommendations to grow market share.

business-intelligence gaming juptyernotebook-language matplotlib numpy pandas postgresql python3

Last synced: 09 Apr 2026

https://github.com/yousefmostafa125/image-processing

An interactive image processing web app built with Streamlit and OpenCV. The app allows users to upload an image, apply various processing steps, and download the results individually or as a ZIP file.

numpy opencv-python python streamlit

Last synced: 03 May 2026

https://github.com/jeniljani-4444/end-to-end-car-price-prediction-model

Predict car prices effortlessly using this machine learning model. Built with Python and Scikit-learn it analyzes features like mileage age brand and more to estimate accurate prices. Perfect for buyers sellers and dealerships.

machine-learning matplotlib numpy pandas python scikit-learn seaborn streamlit

Last synced: 10 Apr 2026

https://github.com/gregoritsch3/project_spring_pendulum

A solution to the chaotic equations of motion of a spring pendulum using Lagrangean mechanics integrated through symbolic and numeric Python libraries (Sympy, Numpy, Scipy, Matplotlib, etc.).

lagrangian-mechanics maptlotlib numpy python scipy spring-pendulum sympy

Last synced: 12 Apr 2026

https://github.com/shubhammittal-data/hr_dashboard_tableau

An interactive HR Analytics Dashboard built using Tableau. Provides insights into workforce demographics, hiring trends, salary analysis, and employee records for data-driven decision-making.

chatgpt4 data data-analysis data-visualization drawio-tools faker-generator hr-analytics hr-analytics-dashboard human-resources numpy python tableau tableau-public

Last synced: 17 May 2026

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: 08 Apr 2026

https://github.com/teslaproduuction/data_analiz_al

ΠŸΡ€ΠΎΠ³Π½ΠΎΠ·ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ курса алюминия с использованиСм ΠΌΠΎΠ΄Π΅Π»ΠΈ ARIMAX

arimax csv django html-css-javascript numpy pandas python rss scipy sklearn sqlite yfinance-library

Last synced: 10 Apr 2026

https://github.com/sujal2004/stock-analysis-project

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

jupyter-notebook matplotlib numpy pandas python stock-market

Last synced: 10 Apr 2026

https://github.com/screamman-ssh/video-camera-to-ascii

Convert a video file or camera captured to display as text.

ascii camera-to-text computer numpy opencv pillow python python-3 video-to-text

Last synced: 10 Apr 2026

https://github.com/ahmedabdalkreem/machine_learning_with_cv

In this project work to extraction feature from shapes to be input of machine learning model.

chaincode computer-vision contour-detection feature-extraction machine-learning matplotlib numpy open-cv pandas python sklearn svc-model

Last synced: 10 Apr 2026

https://github.com/als8446/tripleten-data-science-projects

Projects Overview Projects made in the Data Scientist course from TripleTen LatAm

data data-analysis hypothesis-tests machine matplotlib numpy pandas python scipy sklearn

Last synced: 10 Apr 2026

https://github.com/maximlevchenko/pandas-numpy-hippocampus-analysis

This project aims to analyze the differences in hippocampus size between two groups: "Unaffect" and "Affected" using pandas, numpy and matplotlib

jypyternotebook matplotlib numpy pandas pyreadr seaborn statsmodels

Last synced: 16 Apr 2026

https://github.com/theanujsinha01/seoul-bike-sharing-demand-prediction

This project predicts the demand for bike-sharing services in Seoul using machine learning algorithms. It utilizes historical data and environmental factors to provide accurate predictions that can aid in resource optimization and planning.

data-cleaning data-science exploratory-data-analysis feature-engineering jupyter-notebook machine-learning matplotlib model numpy pandas seaborn

Last synced: 10 Apr 2026

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: 10 Apr 2026

https://github.com/amiridk/machinelearning

machine-learning-notes

matplotlib-pyplot numpy pandas pyhton

Last synced: 04 May 2026

https://github.com/the-developer-306/neural-style-transfer

Neural Style Transfer project leveraging TensorFlow and VGG19 to blend artistic styles with content images. Features include style and content initialization, multi-layer feature extraction, total variation loss, and post-processing enhancements like sharpening, upscaling, and brightening.

deep-learning image-processing neural-style-transfer numpy opencv-python post-processing tensorflow transfer-learning vgg19

Last synced: 01 May 2026

https://github.com/allanotieno254/pneumonia-xray-classification

This project is a Deep Learning-based Pneumonia classification system that allows medical staff to upload chest X-ray images and quickly determine whether a patient shows signs of pneumonia.

keras machine-learning numpy pandas pil pillow python streamlit streamlit-webapp

Last synced: 10 Apr 2026

https://github.com/anuppm9917/super-store-sales-analysis-power-bi-project

My drive to know which products, regions, categories and customer segments a company should target or avoid, I search and selected an appropriate dataset on kaggle which will match a standard superstore requirement.

data data-analysis data-visualization datacleansing excel exploratory-data-analysis jupyter-notebook numpy pandas plotly powerbi python3

Last synced: 10 Apr 2026

https://github.com/ngangawairimu/automating_farming_analysis

This project automates farming in Maji Ndogo, analyzing soil fertility, climate, and geography to recommend optimal crop locations. Python-based data analysis I uncovers patterns guiding farming practices.

matplotlib-pyplot numpy pandas python seaborn sqlite

Last synced: 10 Apr 2026

https://github.com/sarmad426/python

Python mastery. OOP | Numpy | Pandas | Jupyter Notebook & more.

fastapi file-handling-in-python jupyter numpy oop pandas pytest python regex unit-tests

Last synced: 10 Apr 2026

https://github.com/smirnovlad/data-science-notebooks

A collection of various data analysis approaches

data-science deep-learning kaggle machine-learning numpy pandas pytorch

Last synced: 10 Apr 2026

https://github.com/jol79/python_exercises

Solving interesting python exercises on different topics

matplotlib-pyplot numpy pandas python3 pythonexercises scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/anshpg/linearluminary

Greetings! I've developed a straightforward linear regression model from scratch to predict house prices in Bangalore. But before delving into coding, let me walk you through the algorithm's conceptualization. I considered various factors such as location, ocean proximity, plot size, finished state, and flat type.

algo linea mathematics matplotlib numpy pandas pyth

Last synced: 13 May 2026

https://github.com/elon-fask/nlp_num1

Natural Language Processing with Disaster Tweets

ai machine-learning nlp nlp-machine-learning numpy pandas python text-processing

Last synced: 10 Apr 2026

https://github.com/ahmedabdalkreem/hotel-reservation

Our task is to classify a Hotel Reservation as either booking canceled (class1) or no canceled(class0) and use more one model to arrive the best model.

bagging decisiontreeclassifier ensemble extra-trees-classifier logistic-regression matplotlib numpy pandas python3 random-forest sklearn-library svc-model

Last synced: 11 Apr 2026

https://github.com/navindafernando/feature-extraction

Heart Risk Level Predicting Regression Model & Web using Feature Engineering and Data Preprocessing :baby_chick:

categorical-encoding feature-engineering flask handling-outlier html5 joblib label-encoding machine-learning numpy pandas polynomial-features quantile-transformer scaling

Last synced: 10 Apr 2026

https://github.com/sc0v0ne/ai-discipline-work

AI Discipline Work - Movie recommendation

jupyter-notebook machine-learning numpy pandas python python3

Last synced: 15 Apr 2025

https://github.com/soumyapro/wine-quality-prediction

This project is about the prediction of wine quality using machine learning algorithms

boxplot matplotlib numpy pandas random-forest smote

Last synced: 10 Apr 2026

https://github.com/mnitin-reddy/collaborative-filtering-based-recommendation-system

This project is a Book Recommendation System that uses two main approaches: Popularity-Based and Collaborative Filtering. It recommends top books based on their rating frequency and average ratings, and also provides personalized book suggestions by analyzing user interactions.

collaborative-filtering numpy pandas popularity-based-recommendation python recommendation-system scikit-learn

Last synced: 11 Apr 2026