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/karishmagupta05/airbnb-data-scraping-and-analysis

This project involves web scraping Airbnb listings using Python and BeautifulSoup, followed by data analysis with Pandas. The goal is to extract meaningful insights from the data, clean and preprocess it, and visualize the results using libraries like Matplotlib and Seaborn.

beautifulsoup4 matplotlib numpy pandas python scraping seaborn visualization

Last synced: 15 Apr 2026

https://github.com/hansalemaos/npzigloc

Zig for Numpy

numpy python zig

Last synced: 31 Jan 2026

https://github.com/farha-dahman/investigate_dataset

Investigate [No-show appointments] Dataset

data-analyst jupyter-notebook matplotlib numpy pandas python

Last synced: 15 Apr 2026

https://github.com/dipeshgoyal013/salary-data-analysis

Salary Analysis according department and agency.

analysis matplotlib numpy pandas salary sklearn-library

Last synced: 15 Apr 2026

https://github.com/singhvishal003/sales-data-analysis

Data Analysis according to sale data.

matplotlib numpy pandas seborn

Last synced: 15 Apr 2026

https://github.com/dmitruzik/python_projects

All python projects are here

matplotlib numpy pandas python seaborn

Last synced: 15 Apr 2026

https://github.com/offthetab/lung_cancer_prediction

ML for Lung Cancer Prediction dataset from kaggle.

matplotlib numpy pandas python seaborn sklearn

Last synced: 25 Feb 2026

https://github.com/martincastroalvarez/python-video-processing

Movie generator using MoviePy, OpenCV2 and Numpy.

moviepy numpy opencv

Last synced: 15 Apr 2026

https://github.com/arv-anshul/campusx-graphs

Contains all the graphs provided by CampusX to learn Statistics and Algebra with some added feature.

algebra campusx-dsmp data-science matrix numpy statistics streamlit vizualisation

Last synced: 15 Apr 2026

https://github.com/pedrohenriquebr/pegasus

Finance Reporting Automation

excel finance financial numpy pandas python python3 report

Last synced: 15 Apr 2026

https://github.com/anshpg/exploration-in-image-processing-digit-image-generation

This project, developed by Anshuman Pattnaik, explores image processing techniques using Python libraries such as pandas, numpy, matplotlib, and cv2 (OpenCV). The primary objective of the project was to delve into image processing with a focus on creating a unique dataset and algorithm for image generation.

cv2 image-generation image-processing ipynb-jupyter-notebook matplotlib-pyplot numpy opencv pandas

Last synced: 01 Feb 2026

https://github.com/bineet-ratna-shakya/data-science-salary-analysis

analyzing a dataset containing salaries of data science professionals from 2020 to 2023.

data-analysis data-science data-visualization jupyter numpy pandas python

Last synced: 01 Feb 2026

https://github.com/audeering/audmath

General math functions

math numpy

Last synced: 07 Feb 2026

https://github.com/luizabash/wmap-tt-eda

EDA of the WMAP 5-Year TT Power Spectrum data, the analysis includes summary statistics, data visualization, polynomial regression for model fitting, and hypothesis testing

astrophysics matplotlib numpy pandas scipy

Last synced: 01 Feb 2026

https://github.com/hygull/pyrandocs

A repository (pyrandocs i.e. Python's v2/v3 random documents/files) containing different Python v2/v3 based resources (files/documents etc.) from random topics. A project to try different Python's features.

base64 beautifulsoup class exception-handling hashlib json jwt-authentication loops matplotlib nltk numpy pandas python2 python27 python3 requests searching time-complexity urllib urllib2

Last synced: 15 Apr 2026

https://github.com/sarowarahmed/advertising-sales-app

📈 Advertising Sales Predictor: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to forecast sales based on TV, Newspaper, and Online Advertising. Deployed on Streamlit Cloud for real-time, easy-to-use predictions.

advertising app machine-learning multiple-linear-regression numpy pandas sales scikit-learn streamlit

Last synced: 07 Feb 2026

https://github.com/vladimiracunadev-create/python-data-science-program

Python Data Science Program — 197 clases en 9 partes. Pauta avanzada derivada de Géron, VanderPlas, Huyen, ISLP y Barocas/Hardt/Narayanan. Recurso personal de aprendizaje, enseñanza y mejora continua.

bootcamp data-analysis data-science education jupyter machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 01 Jun 2026

https://github.com/sharkb8t/credit-risk-classification

Demonstrates my abilities to use Jupyter Notebook with scikit-learn to train and evaluate a machine learning model.

jupyter-notebook numpy pandas pathlib python scikit-learn

Last synced: 15 Apr 2026

https://github.com/hansalemaos/npchessimage

Creates a chessboard pattern as an image.

chessboard cv2 image numpy

Last synced: 05 Mar 2026

https://github.com/gautam-cs/data_science

In this project, I was trying to get most of the relevent information of the data using library like numpy, pandas. I have worked on data like aadhar data, Olympics data

aadhar-data csv data-science json numpy olympics-data pandas python35

Last synced: 17 Apr 2026

https://github.com/yanxue06/housing-price-predictor

Python-based California housing price predictor

jupyter numpy pandas python seaborn

Last synced: 06 Mar 2026

https://github.com/esraamhmd/intelligent-skin-cancer-image-based-detection-models

This project combines traditional machine learning approaches with advanced deep learning techniques to assist healthcare professionals in early diagnosis and improve patient outcomes.

ai deep-learning ham10000 isic kaggle machine-learning matplotlib numpy pandas python3 pytorch seaborn skin-cancer skin-detection sklearn time torchvision tqdm

Last synced: 02 Apr 2026

https://github.com/akshitvats026/heart_disease_prediction

An ML-based Heart Disease Prediction System that predicts the likelihood of heart disease based on user health parameters. Built using Python, Pandas, and Scikit-learn, the system performs data preprocessing, trains a predictive model, and provides real-time predictions with high accuracy.

accuracy-score logistic-regression machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/satyas567/weatherdataanalysis

Comprehensive Weather Data Analysis with Python: Explore trends, visualize patterns, detect outliers, and predict temperature using humidity and wind speed

jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/offthetab/ml_homework

Практические работы по анализу данных МИРЭА 3 курс.

ml numpy pandas python shap sklearn xgboost

Last synced: 02 Apr 2026

https://github.com/loong64/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

autograd deep-learning gpu loong64 loongarch64 machine-learning neural-network numpy python tensor

Last synced: 02 Apr 2026

https://github.com/mac2bua/autoalgo

Autonomous algorithm optimization research - 19x speedup achieved through self-driven iterations

algorithm-optimization autoresearch numpy performance python

Last synced: 02 Apr 2026

https://github.com/ledsouza/curso_de_estatistica_parte_4

Projeto de estatística para estudo de correlação e regressão

data-science data-visualization numpy pandas seaborn statsmodels vitrinedev

Last synced: 17 Apr 2026

https://github.com/kernel-loophole/numerical-computing

Numerical Computing use python(Numpy,metplotlib).

numpy python quantum-computing

Last synced: 17 Apr 2026

https://github.com/renan-siqueira/reinforcement-learning-cart-pole

This repository provides implementations of a Q-learning agent to balance a pole on a cart.

artificial-intelligence gym-environment machine-learning numpy openai-gym pygame python qlearning-algorithm reinforcement-learning

Last synced: 17 Apr 2026

https://github.com/prashver/end-to-end-model-deployment-on-aws

Student Performance Analysis with Machine Learning analyzes factors impacting student outcomes using a robust machine learning pipeline. Achieving an impressive R2 score, it predicts student performance effectively. With extensive data preprocessing and deployment on AWS Elastic Beanstalk, it ensures scalability and high availability.

amazon-web-services aws-elastic-beanstalk end-to-end-deployment flask machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/felixamaladhas/amazon-reviews-sentiment-analysis

This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.

matplotlib numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/rakibhhridoy/predictingsequence-timeseriesanalysis

Time series data easy handling purposes in TensorFlow and python functional programming. Time Series data is handled and pre-processed by different steps,like making window of the data,splitting data for model purpose is also different than other processing methods. All has combined for easy access.

forecasting functional-programming keras lstm lstm-neural-networks moving-average numpy python tensorflow time-series windowed

Last synced: 02 Apr 2026

https://github.com/lmizner/codecademy_nba_trends

Investigate whether there is an association between two variables

chi2-contingency jupyter-notebook matplotlib numpy pandas pearson-correlation pyplot python seaborn

Last synced: 17 Apr 2026

https://github.com/nikhilsree5/aerofitcasestudy

Customer Profiling and Market Segmentation for AeroFit Treadmills: A Data-Driven Approach

customerprofile eda numpy pandas python visualization

Last synced: 17 Apr 2026

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

Diabetes Prediction using futuristic tool

ai jupiter-notebook ml numpy pandas sklearn

Last synced: 17 Apr 2026

https://github.com/khushi130404/binning-binarization

This project demonstrates binning and binarization on the Titanic dataset, comparing results with and without numeric encoding. Visualizations highlight the transformations and their impact on survival analysis.

binarization binarizer binning columntransformer decision-trees matplotlib numpy pandas

Last synced: 17 Apr 2026

https://github.com/tashi-2004/deep-learning-grid-world-q-learning

Deep Learning Grid World Q-Learning . Implement Q-learning in a 5x5 grid where an agent navigates obstacles and rewards. Train the agent with varying learning rates, visualize its progress, and see Q-values as heatmaps. Run the script to start training and view results. Contributions are welcome!

agent-based-modeling artificial-intelligence deep-learning deep-q-learning exploitation exploration machine-learning machine-learning-algorithms matplotlib-pyplot numpy python q-learning q-learning-algorithm reinforcement-learning reinforcement-learning-algorithms state-value-function training

Last synced: 17 Apr 2026

https://github.com/mgitrov/cnn-on-cifar-10

A computer vision project aiming to classify random images uploaded by the user.

artificial-neural-networks computer-vision convolutional-neural-networks deep-learning keras matplotlib numpy pil regularization tkinter

Last synced: 17 Apr 2026

https://github.com/mugambi645/classify-song-genre-from-audio-data

Classify song genres using supervised learning models & PCA for dimensiality reduction

decision-tree-classifier logistic-regression numpy pandas pca-analysis

Last synced: 17 Apr 2026

https://github.com/jjwizardmp/a-start-search-python

Python project where the 'A Start Search' algorithm and a simulation of the agent's path with animations were implemented.

cv2 ipython iterto jupyter-lab jupyter-notebook mathplotlib numpy pip python python-env python3

Last synced: 04 Apr 2026

https://github.com/noluyorabi/bravais-pearson-interactive

Bravais-Pearson Interactive – A web app for visualizing Pearson correlation. Generate datasets, analyze correlations, and explore regression lines, r², and p-values interactively.

data-visualization interactive-analysis matplotlib numpy pearson-correlation scipy seaborn statistics streamlit

Last synced: 17 Apr 2026

https://github.com/datamallo/python101

The ressources you need to learn or get better in Python. Covering the basics of Python3, NumPy and Pandas for

numpy pandas python3

Last synced: 18 Apr 2026

https://github.com/compcode1/nfl-analysis

The objective of this analysis was to explore potential correlations between player attributes (such as average age and weight across different positions) and key team performance metrics from the 2023 NFL season.

datacleaning datanormalization numpy pandas pearson-correlation-coefficient pvalues

Last synced: 18 Apr 2026

https://github.com/27ahmad/movie-recommendation-system

Welcome to the Movie Recommendation System! This project uses Streamlit to provide personalized movie recommendations based on user preferences and similarity.

movie-recommendation numpy pandas python scikit-learn

Last synced: 04 Apr 2026

https://github.com/jass024/bitcoin-historical-analysis

Performed comprehensive time-series analysis on 14+ years of Bitcoin historical data using Python (Pandas, NumPy, Plotly). Calculated key technical indicators (SMA, EMA, RSI, volatility) to identify market trends, potential anomalies, and areas of regulatory concern. Visualized results using interactive Plotly charts.

numpy pandas python-3

Last synced: 18 Apr 2026

https://github.com/thoughtscript/python_api_2023

Some fun with Flask, Python, and Machine Learning

angular docker docker-compose flask machine-learning mysql numpy

Last synced: 04 Apr 2026

https://github.com/vansh-py04/data-analysis-questions-pandas-numpy-sql

Solution to 450+ Data Science Tech Stack questions essential for Data Analysts and Scientists!

data-analysis data-science deepnote machine-learning numpy pandas python sql

Last synced: 18 Apr 2026

https://github.com/pedroteixeiraw/variational_quantum_circuit_binary_classification

This project focuses on developing a Variational Quantum Circuit capable of performing Binary Classification between two classes: red wine and white wine, based on their characteristics using machine learning.

binary-classification cost-function json machine-learning matplotlib numpy pandas qiskit qiskit-machine-learning quantum-machine-learning scikit-learn training-data variational-circuit

Last synced: 04 Apr 2026

https://github.com/mnitin-reddy/a-b-testing-and-regression-analysis-for-ad-performance-optimization

Analyzed the performance of Facebook and AdWords ads using A/B testing and regression analysis to identify trends, correlations, and cost-effectiveness. Key insights included distribution of clicks and conversions, monthly trends, and cost-per-conversion analysis to optimize ROI.

abtesting data-science hypothesis-testing machine-learning matplotlib numpy pandas scikit-learn scipy seaborn statsmodels

Last synced: 04 Apr 2026

https://github.com/armanshadyan/bacteria-detection

Deep learning-powered tool for detecting and analyzing bacteria in microscope images. Designed for microbiology research, it identifies bacteria, counts them, and calculates coverage area with high precision. Supports real-time video processing, single-image analysis, batch processing, and model training.

mediapipe numpy object-detection opencv python pytorch

Last synced: 05 Apr 2026

https://github.com/alezoon/movie-revenue-prediction

Sk-learn practice using Linear Regression, ML workflow practice.

jupyter machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 05 Apr 2026

https://github.com/ayushmaan-xd/exploratory-spotify-data-analysis

Exploratory Spotify Data Analysis is a project where I analyzed Spotify’s music dataset to uncover trends in audio features and song popularity. Using Python and data visualization tools

jupyter-notebook matplotlib numpy pandas python seaborn spotify-dataset

Last synced: 18 Apr 2026

https://github.com/ashithapallath/feature-engineering

This repository contains a range of examples and techniques for feature engineering, aimed at improving dataset quality and boosting model performance. It covers essential methods such as Exploratory Data Analysis (EDA) and Interquartile Range (IQR) analysis for detecting and handling outliers.

exploratory-data-analysis feature-engineering iqr-method matplotlib numpy outlier-detection pandas python seaborn

Last synced: 18 Apr 2026

https://github.com/manalisbhavsar/mall-customers-clustering

K-Means clustering to mall customer data, segmenting customers based on their annual income and spending score. To identify patterns and group customers for targeted marketing.

data-analysis data-visualization matplotlib numpy pandas python scikit-learn

Last synced: 18 Apr 2026

https://github.com/nowon1/insurance-claim-prediction_version

This project aims to predict the insurance claim amounts based on various customer attributes using machine learning techniques. The project involves data preprocessing, exploratory data analysis, feature engineering, and model training and evaluation.

data-preprocessing data-science data-visualization exploratory-data-analysis feature-engineering insurance jupyter-notebook machine-learning numpy pandas predictive-modeling python random-forest regression-analysis scikit-learn

Last synced: 05 Apr 2026

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

Machine Learning python bootcamp: Recommender Systems on movies dataset

ipynb machine-learning numpy pandas python recommender-system scikit-learn seaborn

Last synced: 05 Apr 2026

https://github.com/noopur-phadkar/botnavigator

BotNavigator utilizes the A* (A-Star) algorithm for pathfinding, leveraging Python along with libraries such as Matplotlib and Numpy for efficient array operations and visualization. This innovative solution optimizes robotic navigation within warehouse environments, enhancing operational efficiency and scalability.

a-star-path-finding matplotlib numpy pathfinding-algorithms python robotics

Last synced: 18 Apr 2026

https://github.com/linggarm/lvq-and-elm-with-iris-dataset

Implementation of Learning Vector Quantization (LVQ) and Extreme Learning Machine (ELM) with Iris Dataset

artificial-intelligence deep-learning elm extreme-learning-machine learning-vector-quantization lvq machine-learning numpy python soft-computing

Last synced: 18 Apr 2026

https://github.com/autokmg/ai-foundations

Practice exercises related to the Foundations of Artificial Intelligence university course. The code examples are designed to help students gain a deeper understanding of these topics and to prepare for exams and assignments. The repository is open to contributions from other students.

numpy python

Last synced: 18 Apr 2026

https://github.com/rhazra-003/modelinglab

Assignment - Solution of Modeling Lab of 7th Semester (Batch of 2023) of NIT Durgapur

jupyter-notebook matplotlib-pyplot numpy pandas python3 shapely

Last synced: 19 Apr 2026

https://github.com/jcardonamde/reto_cobranzas_sector_financiero

This project analyzes data provided by the organization iData, focusing on the collection process of a financial company. The objective is to develop segmentation strategies that enhance portfolio recovery and improve debt management.

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

Last synced: 19 Apr 2026

https://github.com/mwoss/opencv-raspberry-pi

Video capture on Raspberry Pi/PC using OpenCV

numpy opencv python rapsberrypi video-capture

Last synced: 19 Apr 2026

https://github.com/simonusher/multi-layer-perceptron

My solution to an assignment on multi-layer perceptron. Implemented in python and numpy. Contains the forward and backward pass code, as well as some utility functions.

multi-layer-perceptron neural-network numpy python

Last synced: 19 Apr 2026

https://github.com/bharath-tars/modelml

Model for Diabetes Prediction using Machine Learning

docpilot flask heroku matplotlib-pyplot numpy pandas seaborn sklearn smtp

Last synced: 19 Apr 2026

https://github.com/gemmus/tictactoe-ai

Built with minimax algorithm, using pygame.

minimax-algorithm numpy oop pygame python tic-tac-toe

Last synced: 20 Apr 2026

https://github.com/vyjayanthipolapragada/car_mileage_prediction

Predicting the mileage of car using the linear regression model with Scikit-learn

kaggle-titanic linear-regression machine-learning numpy pandas predictive-modeling python scikit-learn

Last synced: 20 Apr 2026

https://github.com/montanaz0r/suicide-rate-analysis

Testing a significance of the correlation between a suicide rate and a number of psychiatrists and psychologists working in the mental health sector

analysis correlation data data-analysis data-science jupyter-notebook jupyter-notebooks matplotlib numpy pandas psychology python python-3 seaborn statistics suicide-rate

Last synced: 20 Apr 2026

https://github.com/prahaladhchandrahasan/housingprices_adavanced_regression

A machine learning model for "House Prices: Advanced Regression Techniques" kaggle competition.

machine-learning-algorithms matplotlib-pyplot numpy pandas python3 scikit-learn

Last synced: 20 Apr 2026

https://github.com/paulo-santos-ds/previsao_preco_carros

O objetivo é realizar predições em um aplicativo de vendas de carros. A qualidade e velocidade de predições é crucial para o negócio. O projeto utiliza dados históricos, especificações técnicas, versões de acabamento e preços.

lightgbm math matplotlib numpy pandas python time

Last synced: 20 Apr 2026

https://github.com/saurabh9136/data-analysis_using_pandas-numpy

A beginner-friendly repository exploring data analysis using NumPy and Pandas. Covers fundamental operations, data manipulation, and real-world dataset analysis.

data-analysis-python numpy pandas python scipy

Last synced: 20 Apr 2026

https://github.com/levieyal/oop-course-exercises

The first exercises in the OOP in Java and python course that took place in the first semester of 2021

docs git github graph-algorithms interfaces numpy python solid-principles unit-testing

Last synced: 20 Apr 2026

https://github.com/prithvikings/zomato_data_anaysis

This analysis provides insights into customer preferences and restaurant performance on Zomato. The visualizations and findings can help Zomato make informed decisions to improve customer experience and tailor their offerings.

matplotlib numpy pandas python seaborn

Last synced: 20 Apr 2026

https://github.com/jbalooshie/school_district_analysis

Analysis of standardized testing results using NumPy and Pandas, executed in Jupyter Notebook. Summaries of the testing results are provided based on school, test type, and grade level.

data-analysis data-science dataframes jupyter-notebook numpy pandas python

Last synced: 20 Apr 2026

https://github.com/vtorres09/projetomonitoriaip

📋 Data analysis of a dataset created to select students to be teacher assistant (Introduction to Programming).

numpy object-oriented-programming pandas python

Last synced: 20 Apr 2026