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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/annygutierrez/ai-chatbot-python

Deep learning chatbot: Chatbot model to make predictions and chat back and forth with our user.

nltk numpy tensorflow tflearn

Last synced: 06 May 2026

https://github.com/atharvkadammm/suicide-prediction-system

A machine learning project predicting suicide risk based on multiple socio-economic and environmental factors using data mining techniques.

csv data-analysis data-science data-visualization datamining exploratory-data-analysis feature-engineering machine-learnin matplotlib mental-health numpy pandas riskassesment seaborn sklearn suicide-prediction supervised-

Last synced: 01 Jul 2025

https://github.com/atharvkadammm/calmlytic

An end-to-end machine learning project that predicts anxiety severity using classification models (Naive Bayes, Decision Tree, SVM, Logistic Regression, XGBoost), based on lifestyle, health, and behavioral features.

anxiety-prediction classification csv data-analysis data-preprocessing-and-cleaning data-science data-visualization ensemble-learning logistic-regression machine-learning-algorithms matplotlib mental-health numpy pandas python sci-kit-learn seaborn supervised-learning svm xgboost

Last synced: 21 Jun 2025

https://github.com/ayushhhh123/diwali_sales_analysis

This project provides a comprehensive analysis of Diwali sales data using Python. The primary goal is to derive business insights from customer purchasing behavior during the Diwali festival season. This analysis can help improve marketing strategies, customer targeting, and overall sales performance.

matplotlib numpy pandas python seaborn

Last synced: 07 May 2026

https://github.com/harrisonwelch/pythondatascience

Repo of code from the linked-in lesson "Python: Data Analysis"

data data-science matplotlib notes numpy python tutorial

Last synced: 12 Apr 2026

https://github.com/vlad1343/tools

This repository demonstrates the acquisition of advanced Python programming skills through structured exercises and projects, with a strong emphasis on NumPy for array manipulation, slicing, masking, and reshaping

jupyter-notebook numpy numpy-library numpy-python pandas pandas-python python python3

Last synced: 08 Apr 2026

https://github.com/okoge-kaz/deep_learning

O'REILY ゼロから作るDeep Learning

deep-learning neural-network numpy pandas perce python3

Last synced: 20 Apr 2026

https://github.com/thekartikeyamishra/aipoweredmarketingassistant

AI-Powered Marketing Assistant, an advanced tool designed to enhance your digital marketing campaigns using the power of machine learning (ML) and large language models (LLMs). This project empowers small businesses and MSMEs to create compelling content, analyze campaigns, and strategize effectively.

artificial-intelligence llm matplotlib numpy openai pandas python scikit-learn streamlit

Last synced: 08 Apr 2026

https://github.com/trivediayush/python-bootcamp

This repository contains code, notes, and examples from my journey learning Python and its essential libraries.

flask matplotlib numpy pandas python python3 pythonbootcamp

Last synced: 01 Jul 2025

https://github.com/byte-sourcerer/array_contract

Contract programming for Pytorch, Numpy

contracts ndarray numpy python python3 pytorch tensor

Last synced: 14 Sep 2025

https://github.com/pedronjorge/average-face-python

Generate an average face from a given set of images by detecting facial landmarks, aligning features, and blending the images using Delaunay Triangulation. Libraries used: Dlib, OpenCV, NumPy

dlib image-generation jupyter-notebook numpy opencv python3

Last synced: 21 Jun 2025

https://github.com/jo-minseok/global-warming-100year

🌡️ 2100년까지의 지구 기온, 해수면, 북극 빙하, 탄소 예측 ML [완료]

arima-model global-warming machine-learning matplotlib numpy pandas scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/nik-kusanagi/jupyter

Treinamento Para Análise de Dados.

big-data jupyter jupyter-notebook matplotlib numpy pandas python python3

Last synced: 30 Apr 2026

https://github.com/sumaiyyaf/spotify-data-analysis

This project explores Spotify music data, using Python to clean, analyze, and visualize the dataset. It examines the relationship between audio features and sentiment in song lyrics, uncovering patterns and trends to provide valuable insights into music preferences.

eda numpy pandas python

Last synced: 08 May 2026

https://github.com/dmarks84/coursework_capstone_spacex_predictions

Final Project for IBM Data Science Professional Certificate -- Applied all skills and methods utilized in the series of courses for this certification to predict the success of SpaceX landings; issued full report to stakeholders

api classification dash eda folium linear-algebra matplotlib mysql numpy pandas plotly probability python seaborn sql statistics supervised-ml technical-writing web-scraping

Last synced: 08 Apr 2026

https://github.com/01one/python-online-with-pyodide

Run and edit python code including matplotlib and numpy on the browser with pyodide and codemirror

matplotlib-python numpy pyodide python-browser python-online python-online-compiler

Last synced: 29 Mar 2025

https://github.com/chinmayee4/diwali_sales_analysis_using_python

Analyze Diwali Sales Data to improve customer experience and sales.

data-science exploratory-data-analysis matplotlib numpy pandas python seaborn

Last synced: 08 Apr 2026

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

🤖Common ML implementations from scratch.

machine-learning numpy pandas python pytorch

Last synced: 07 Apr 2026

https://github.com/abdur-rahim-mygit/ml-movie-recommendation-system

This project is a Machine Learning-based Movie Recommendation System developed during my internship at YBI Foundation. The system uses collaborative filtering techniques to recommend movies based on user preferences and behavior. It was implemented on Google Colab using Python and popular machine learning libraries.

google-colab machinelearning movie-recomendation-system numpy pandas pyhton

Last synced: 02 Feb 2026

https://github.com/vyjayanthipolapragada/marketing_statistical_analysis

Statistical analysis of customer data and their impact on the sales of products based on marketing campaigns

customer-data data-analysis dataframes marketing matplotlib numpy pandas python seaborn statistical-analysis

Last synced: 11 Apr 2026

https://github.com/mikhailkhorokhorin/the-loop

Student project of team "полетики-самолетики"

3dsmax krpc ksp math matplotlib numpy python

Last synced: 20 May 2026

https://github.com/ksharma67/eda-on-ipl

In this python notebook, analysis of IPL matches from 2008 to 2020 is done using python packages like pandas, matplotlib and seaborn.

data-analysis data-science eda matplotlib numpy pandas python seaborn

Last synced: 07 May 2026

https://github.com/1adore1/face-analysis

An application for face recognition and prediction of gender, age range and emotional state.

numpy opencv pandas python pytorch

Last synced: 07 Apr 2026

https://github.com/mrnust/ai-powered-socialmediapostoptimizer_llm

AI-Powered Social Media Post Optimizer enhances your social media content by optimizing text posts with relevant tags and keywords, predicting engagement metrics, and analyzing image quality. Upload your post and image to receive tailored suggestions for improving engagement and visual appeal.

groq langchain large-language-model llama-3-70b matplotlib numpy opencv streamlit textblob

Last synced: 14 Apr 2026

https://github.com/michaeldehaney94/opencv

Python OpenCV computer vision projects

matplotlib numpy opencv-python python

Last synced: 20 Jun 2025

https://github.com/lorenzorottigni/ml-interview

Machine Learning python bootcamp: K Nearest Neighbors job interview simulation dataset

ipynb k-nearest-neighbours machine-learning numpy pandas python scikit-learn seaborn

Last synced: 07 Apr 2026

https://github.com/itzzmeakhi/ab-testing

This project was done as a part of Udacity's Data Analyst Nanodegree program in which AB-Testing is performed for the users under treatment and control groups to predict whether changes should be done for an website or it is ideal to keep the existing one, based on the performance of old and new pages. Hypothesis testing, z-test, and Logistic Regression is performed to predict results.

bootstrapping hypothesis-testing jupyter-notebook matplotlib numpy pandas python statistics z-test

Last synced: 04 May 2026

https://github.com/redinfinitypro/redditbot

Rating: (7/10) This script collects, preprocesses, trains models, processes images, and handles files, handling data from Reddit, image processing, and file handling.

autocorrect bytesio concurrent nltk numpy openpyxl pandas pil praw random re requests secrets sklearn string tensorflow time urllib

Last synced: 08 Apr 2026

https://github.com/andriikot/smartmatch

Smart Match with python

docker faiss huggingface numpy ptyhon pythorch

Last synced: 04 Apr 2026

https://github.com/faraazarsath/handson-numpy

This respository is on various Numpy Tasks provided as academic assignment

numpy

Last synced: 16 May 2026

https://github.com/matheusotenio/oficina-python

https://oficina-python.streamlit.app/

matplotlib numpy python streamlit

Last synced: 27 Jun 2025

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

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

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

Last synced: 04 Feb 2026

https://github.com/aqueeqazam/a-deep-dive-introduction-to-tensorflow

TensorFlow is a deep learning system that provides an interface for expressing deep learning algorithms and implementing them. It uses dataflow graphs to represent computation, shared state, and the operations that mutate that state.

deep-learning neural-network numpy tensor tensorflow

Last synced: 03 Aug 2025

https://github.com/dulajkavinda/diabetes-detection

💊detect diabetes using machine learing

added machinelearning numpy pandas python scikit

Last synced: 14 Sep 2025

https://github.com/sadegh-khedry/pneumonia-detection-using-cnn

Classifying chest X-ray images into two categories: Pneumonia or Normal using a Convolutional Neural Network (CNN).

cnn convolutional-neural-networks cv2 deep-learning harris-corners joblib jupyter-notebook keras kmeans-clustering matplotlib numpy orb pandas python seaborn shutil sifit tensorflow

Last synced: 11 Apr 2026

https://github.com/subhashpolisetti/crispdm-semma-kdd-workflows

This repository demonstrates three data mining methodologies applied to various real-world datasets: CRISP-DM (Weather Analysis), KDD (Social Media Ads Analysis), and SEMMA (Spotify Recommendation System). Each project includes data exploration, preprocessing, modeling, and evaluation steps, along with comprehensive documentation, supporting files,

clustering-algorithm crisp-dm kdd latex-template machine-learning numpy pandas random-forest research-paper semma

Last synced: 07 May 2026

https://github.com/sandeepannandi/slicecam

SliceCam is a fun, camera-controlled game powered by OpenCV and Mediapipe that lets you slash flying fruits with real-time hand tracking.

collision-detection handtracking mediapipe mediapipe-hands motiondetection numpy opencv pygame python

Last synced: 06 May 2026

https://github.com/mohammedrashithkp/drlforsnakegame

This project utilises a Deep Reinforcement Learning specifically Q learning implemented using PyTorch which learns the game by interacting with the pygame environment .I have followed a tutorial on Freecodecamp YouTube Channel and made the initial model.

deep-reinforcement-learning matplotlib-pyplot numpy pygame python

Last synced: 16 May 2026

https://github.com/mah-22/room-occupancy-prediction-using-environmental-sensor-data

This project uses environmental sensor data to predict room occupancy, providing valuable insights for efficient energy management and space utilization in buildings. By analyzing factors like temperature, humidity, and light levels, the model aims to accurately forecast when rooms will be occupied, optimizing resources and enhancing overall buildi

classification data-science data-visualization exploratory-data-analysis machine-learning numpy pandas python seaborn time-series

Last synced: 07 May 2026

https://github.com/evernext10/coursera_capstone

This repository is created for sending the IBM Data Science Lab and will be used primarily for the Capstone project.

coursera-data-science ibm numpy pandas

Last synced: 10 May 2026

https://github.com/vjpaij/datascience-udemy

Various basic codes on datascience

machine-learning matplotlib numpy pandas python seaborn

Last synced: 15 Apr 2026

https://github.com/anufrievsy/man_women

Данный скрипт был создан с целью поиска субъективно интересных серий ТВ-шоу "Мужское Женское"

bs4 clear-output fuzzywuzzy ipython ipython-display jupyter jupyter-notebook jupyter-notebooks matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python requests time youtube youtube-search

Last synced: 05 Feb 2026

https://github.com/pradyumnakr/facial-recognition-using-opencv

Uses haarcascades to recognize facial features, patterns and performs feature extraction followed by labelling the data to recognize the faces on a live webcam.

numpy opencv python3

Last synced: 09 May 2026

https://github.com/moritzsalla/cci-advanced-visualization

Classwork for Mick Grierson's module at the Creative Computing Institute

matplotlib numpy openframeworks python tensorflow

Last synced: 06 May 2026

https://github.com/claby2/mouse-track

Track, display, and graph the position of a mouse cursor.

c cpp matplotlib numpy python sdl2 windows

Last synced: 12 Apr 2026

https://github.com/abynxv/automatedexamsheetgrader-ocr

This Python project automates grading of handwritten or printed answer sheets using OCR (Optical Character Recognition). It extracts student answers from scanned images, compares them to an answer key, and generates a detailed report with class statistics.

numpy ocr-recognition opencv pandas python3 tesseract

Last synced: 27 Jun 2025

https://github.com/mohammedsaqibms/planar_data_classification_with_onehidden_layer

This repository implements a simple neural network for binary classification of 2D planar data using Python and NumPy. It compares logistic regression with neural networks and includes code for forward/backward propagation, gradient descent, and decision boundary visualization.

backpropagation binary-classification gradient-descent logistic-regression machine-learning neural-networks numpy python3

Last synced: 10 Jul 2025

https://github.com/baschin1103/principal_component_analysis

In this repository you find a python program and the prints and 3D-visualization of it. After the KNN-Classification I wanted to know which variables have the most relevance for the results. One approach for this is the Principal-Component-Analysis (PCA). More details in the python program as comments.

3d-printing labelencoder matplotlib numpy pandas principal-component-analysis sklearn-library sqlalchemy standardization variable-importance

Last synced: 13 May 2026

https://github.com/alejoduarte23/si_bayesianmixturemodel

Implementation of a two-stage fast Bayesian system identification for separated Modes. This repository expands the usage of this technique by adding a mixture model fit to obtain modal parameters from the posterior distribution.

matplotlib numpy scikit-learn scipy

Last synced: 20 Feb 2026

https://github.com/mkdirer/depression-data-analysis

This project analyzes a Kaggle depression dataset using data preprocessing, clustering, classification, and outlier detection techniques. Python libraries like pandas, numpy, matplotlib, seaborn, and scikit-learn are used to extract insights.

classification clustering matplotlib numpy pandas scikit-learn seaborn vizualization

Last synced: 12 Apr 2025

https://github.com/shreeparab1890/laptop-price-predictor

This notebook is trying to build a model which will predict the price of the laptop based on the given specifications.

machine-learning-algorithms matplotlib numpy pandas price-prediction python scikit-learn sklearn

Last synced: 06 Apr 2026

https://github.com/jancervenka/genalg

Solver for traveling salesman problem

genetic-algorithm numpy python

Last synced: 12 Apr 2025

https://github.com/jaffarkeikei/hackbio

This repository contains a comprehensive toolkit for analyzing single-cell perturbation data from the NeurIPS 2023 Competition. The project focuses on understanding how different drugs (small molecules) affect various cell types at the gene expression level.

csv-files jupyter-notebook matplotlib numpy python tensors

Last synced: 11 May 2026

https://github.com/joeylemon/python-kmeans

an implementation of the K-means clustering algorithm in Python

k-means-clustering matplotlib ml numpy python

Last synced: 21 May 2026

https://github.com/abdelmajidlh/fifa19

Ce projet conciste à analyser et visualiser les données FIFA19. Il est destiné aux jeunes data analystes ou ceux et celles qui souhaite apprendre la programmation Python. Le projet sera mis à jour au fur et à mesure.

fifa matplotlib numpy pandas python seaborn

Last synced: 16 Apr 2026

https://github.com/rtmigo/markov_walk_py

🔢 Python module that calculates probabilities for a random walk in 1-dimensional discrete state space

absorbing-markov-chains absorbing-states markov-chain mathematics numpy probability probability-theory random-walk stochastic-matrix stochastic-models

Last synced: 21 May 2026

https://github.com/vipinchaudhary31122002/cardiopredict

CardioPredict is a smart, ML-powered application that helps analyze your risk of heart disease using interactive forms, clinical features, and trained classification models.

machine-learning matplotlib numpy pandas python3 random-forest seaborn streamlit

Last synced: 12 Apr 2025

https://github.com/tolumie/exploratory-data-analytics-projects

Exploratory Data Analytics – A collection of projects covering data exploration, feature engineering, hypothesis testing, and predictive modeling across diverse datasets, including insurance, real estate, laptops, cars, COVID-19, and the Olympics.

data-analysis data-visualization data-wrangling exploratory-data-analysis-eda feature-engineering hypothesis-testing machine-learning matplotlib numpy pandas predictive-modeling python seaborn statistical-analysis

Last synced: 11 Apr 2026

https://github.com/pramodyasahan/titanic-survival

This repository contains a machine learning project focused on predicting the survival of passengers on the Titanic. The project uses a Support Vector Regression (SVR) model from the sklearn library and involves data preprocessing and prediction.

data-preprocessing matplotlib numpy pandas python scikit-learn support-vector-regression

Last synced: 08 Apr 2026

https://github.com/harmanveer-2546/nasa-asteroid-classification

Classifying whether an asteroid is hazardous or not.

eda matplotlib numpy pandas python seaborn visualization xgboost

Last synced: 11 Apr 2026

https://github.com/vipinchaudhary31122002/bytephone

A data science project that explores, visualizes, and models smartphone features from a futuristic 2025 dataset to predict mobile prices using machine learning.

machine-learning matplotlib numpy pandas python3 scikit-learn seaborn streamlit

Last synced: 13 Apr 2026

https://github.com/tberchanov/clustering-k-means

Sample program where is implemented clustering by K-means algorithm, and its visualisation.

clustering-algorithm kmeans-clustering matplotlib numpy python

Last synced: 16 May 2026

https://github.com/tushar365/titanic---machine-learning-from-disaster

"Titanic: Machine Learning from Disaster" is a classic Kaggle competition for beginners https://www.kaggle.com/competitions/titanic. The goal is to use machine learning to predict which passengers survived the sinking of the Titanic based on historical data. This teaches data analysis and model building skills in a real-world context.

data-science dicision-tree logistic-regression machine-learning matplotlib-pyplot numpy pandas python seaborn

Last synced: 19 Apr 2026

https://github.com/khaja-shaik-21/heart-disease-prediction-system

This form allows users to enter key health details like age, blood pressure, cholesterol levels, and exercise results to predict the likelihood of heart disease. The data is submitted to the backend for processing, where a machine learning model provides a prediction. The form is styled for a clean and responsive user experience.

css3 flask-application git html5 logestic-regression numpy pandas python3 scikit-learn

Last synced: 12 Apr 2026

https://github.com/themihirmathur/machine-failure-predictor

The 'Machine Failure Predictor' is a web application designed to enable predictive maintenance for industrial equipment. Leveraging machine learning techniques, this application predicts whether equipment will fail and identifies the type of failure based on key process parameters.

cicd digitalocean docker fastapi flask github github-actions machine-learning matplotlib mlops numpy plotly python randomforest scikit-learn seaborn streamlit

Last synced: 10 Apr 2026

https://github.com/abidhasanrafi/pharma-sales-analytics

A Streamlit-powered web application for analyzing pharmaceutical sales performance across teams, products, and territories.

matplotlib numpy pandas plotly sales-analysis scikit-learn seaborn streamlit

Last synced: 08 Apr 2026

https://github.com/kumpatlapavankumar/recognizing-flowers-with-convolutional-neural-networks

This project uses a Convolutional Neural Network (CNN) to classify flower images into five categories: Daisy, Dandelion, Rose, Sunflower, and Tulip. The model is trained on the Flowers Recognition dataset with image augmentation techniques to enhance generalization.

cnn-keras coding data-science deep-learning enjoying flower-classification machine-learning numpy opencv2 pandas pathlib pillow python tensorflow testing training

Last synced: 08 Apr 2026

https://github.com/aadrianleo/book-recommendation-system

Book Recommender System using the Book-Crossing dataset. Compares content-based (TF-IDF + cosine similarity) and collaborative filtering (SVD) methods for book recommendations. Includes data cleaning, EDA, and model evaluation (Precision@5, RMSE) in Python.

artificial-intelligence collaborative-filtering content-based-filtering cosine-similarity data-preprocessing jupyter jupyter-notebook machine-learning matrix-factorization numpy pandas predictive-modeling python3 recommendation-system recommender-system scikit-learn sckit-surprise

Last synced: 10 Apr 2026

https://github.com/vyjayanthipolapragada/human_detection_hog

Detect humans in real-time, image or video and count the detected people using OpenCV and HOG Descriptor

computer-vision easygui hog-descriptor human-detection image-processing imutils numpy opencv os python support-vector-machine

Last synced: 06 May 2026

https://github.com/suryavamsi-p/youtube-trends-and-tracks-engagement

This project aims to leverage Python’s robust visualization libraries to derive deep insights from YouTube video trends data. Using the 'youtube.csv' dataset, this analysis explores the dynamics of YouTube video attributes such as views, likes, dislikes, and comment counts to understand user engagement and their emotional insights.

dash datavisualization hypothesis-testing matplotlib normality-test numpy pandas python3 scipy seaborn visual-studio-code

Last synced: 03 Nov 2025

https://github.com/winstxnhdw/pyalign

An over-engineered website for aligning multiline strings to a common character with PyScript.

numpy pyscript uv

Last synced: 13 Jun 2025

https://github.com/rahul-shrivastav/digit-recognition-nn

Web application that recognizes handwritten digits using a deep learning model

deep-learning flask numpy python reactjs tensorflow

Last synced: 11 Apr 2026

https://github.com/bishopce16/surfs_up

An analysis of weather data to determine opening of an ice cream and surf shop using SQLite, SQLAlchemy, and Python.

matplotlib numpy pandas python sqlalchemy sqlite weather

Last synced: 02 Apr 2026

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

This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance

automl catboost numpy pandas python scikit-learn seaborn

Last synced: 08 Apr 2026

NumPy Awesome Lists
awesome-jax 218 awesome-data-analysis 936 awesome-ebooks 106 awesome-jax 149 awesome-mojo-max-mlir 181 awesome-numpy 32 practice-data-science-programming-projects 90
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Blogs 404 Libraries 239 ⚡ Productivity 101 🧠 AI Applications & Platforms 96 🐍 Python 91 Exercises 87 Models and Projects 74 📚 Skill Development & Career 67 🗃️ SQL & Databases 53 Tutorials and Blog Posts 53 🤖 Machine Learning & AI 52 📦 Additional Python Libraries 52 📝 More Awesome Lists 50 ☁️ Cloud Platforms & Infrastructure 46 📋 Cheatsheets 44 📊 Data Visualization 38 📈 Dashboards & BI 37 🎲 Statistics & Probability 34 Videos 34 🚀 MLOps 31