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/renukadhule/airbnb_listings_and_reviews_python_analysis

Explore Airbnb listings and reviews from over 250,000 properties across 10 major cities. Dive into data on listing details, host information, pricing, and customer reviews for better insights

matplotlib-pyplot numpy pandas python seaborn

Last synced: 19 Apr 2026

https://github.com/abdoufermat5/gps_statistiques

Calculs statistiques pour le cloud personnel

geolife gps numpy pandas python statistics trajectory-analysis

Last synced: 20 Apr 2026

https://github.com/shreeya-methuku/predictive_analysis

This project leverages machine learning to perform time-series forecasting on key financial metrics, including sales (income), expenses, cash flow, and profit.

arima financial-forecasting numpy pandas sarima xgboost

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/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/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/muhammadmoeezkhan/euclidean-distances

Python Program That Calculates Euclidean Distances Via 5 Algorithms

numpy pandas-python scipy timeit

Last synced: 20 Apr 2026

https://github.com/aminnj/numpy.jl

Simple numpy snippets implemented in julia

joke julia maybenot numpy python

Last synced: 20 Apr 2026

https://github.com/mkhekare/bikesharing_ml

Provides insights into the bike sharing trends based on various factors such as time of day, season, and weather. The findings can be used to improve bike sharing services and understand user behavior.

matplotlib numpy numpy-library pandas seaborn

Last synced: 20 Apr 2026

https://github.com/byrongomezjr/traffic_sign_detection

Deep learning system to detect stop signs and traffic lights using Keras' image recognition capabilities

keras matloptlib numpy python tensorflow

Last synced: 20 Apr 2026

https://github.com/gandholisarat/mlp-backprop-pmat403

This repository contains a Jupyter Notebook developed for my course, demonstrating symbolic and numerical computation, visualization, and problem-solving in Python using libraries such as SymPy, NumPy, SciPy, and Matplotlib.

jupyter jypyternotebook matplotlib numpy

Last synced: 20 Apr 2026

https://github.com/venkat-0706/air-drawing

A real-time hand gesture drawing app using Python, OpenCV, and MediaPipe to draw, erase, and switch colors on a canvas using finger gestures via webcam.

computer-vision hand-gesture-recognition mediapipe mediapipe-hands numpy opencv-python python realtime-object-tracker

Last synced: 20 Apr 2026

https://github.com/idanhoro/4-in-a-row

The board game 4 in a row with PyGame

4inarow game numpy pygame python

Last synced: 20 Apr 2026

https://github.com/zombietdv/n_gram-model

n_gram model implementation with numpy only

backpropagation numpy

Last synced: 21 Apr 2026

https://github.com/agoose77/midas-tape

An Awkward-Forth backed reader of MIDAS tape files

awkward-array awkward-forth hep midas numpy tape

Last synced: 21 Apr 2026

https://github.com/danpoynor/pet-shelter-data-analysis-notebook

Demonstration of skills analyzing data from a pet shelter. The CSV data contains tables detailing the incoming and outgoing animals and I use my knowledge of Pandas to gather and present the requested information.

csv data-analysis data-cleaning data-science jupyter-notebook matplotlib numpy pandas pet-shelter tabular-data

Last synced: 21 Apr 2026

https://github.com/separatrixxx/crypto_labs_6_sem

πŸ‘“ Laboratory work for the 6th semester of MAI on cryptography

cryptography matplotlib numpy python

Last synced: 21 Apr 2026

https://github.com/prince-gh/numpy

Learn Numpy step by step

library numpy prince-gh python

Last synced: 22 Apr 2026

https://github.com/krumyakimov/house-price-developments-in-bulgaria

I developed this project for my final exam in the Data Science course at SoftUni.

data-science jupyter-notebook matplotlib numpy pandas scipy seaborn

Last synced: 03 May 2026

https://github.com/raduldev/biopython

Biopython Record Work and few extra coding excercise

bioinformatics biopython gromacs jupyter-notebook matplotlib numpy pandas python3

Last synced: 03 May 2026

https://github.com/alexbie98/bietorch

neural nets with numpy

autograd neural-nets numpy torch

Last synced: 03 May 2026

https://github.com/fandredev/ml-my-guide

my own annotations about ML/DS using pandas, matplotlib, numpy, scikit learn

anaconda matplotlib numpy pandas plotly scikit-learn seaborn

Last synced: 03 May 2026

https://github.com/layonj3000/libras-recognition

This project is a Brazilian Sign Language (LIBRAS) recognition system that utilizes computer vision and machine learning techniques.

computer-vision libras mediapipe numpy opencv python random-forest-classifier

Last synced: 03 May 2026

https://github.com/k-ilyas/ai-projects-handwritten-digit-recognition-titanic-survivor-analysis

AI Projects: Handwritten Digit Recognition & Titanic Survivor Analysis using scikit-learn

machine-learning numpy pandas sickit-learn

Last synced: 03 May 2026

https://github.com/asherk7/neural-network-from-scratch

Creating a Convolutional Neural Network from scratch, modeled after ResNet

classification cnn ml neural-network numpy python resnet

Last synced: 18 May 2026

https://github.com/farhannaeem00/data-visualization-practice

Learning matplotlib fundamentals - seeking feedback and code reviews

jupyter matplotlib numpy pandas python

Last synced: 03 May 2026

https://github.com/nak-dt/deep-decision-forest

A custom ensemble tree model inspired by Deep Forest

ai machine-learning machine-learning-algorithms numpy pandas python sklearn

Last synced: 03 May 2026

https://github.com/jsnevt/decisiontreecls

Data Science - Árvores aleatórias - RandomForestClassifier

decision-tree-classifier matplotlib numpy pandas seaborn

Last synced: 03 May 2026

https://github.com/shreenidhi7700/auto_price_prediction

We are required to use Machine Learning algorithms to predict the price of cars with the available independent variables such as Horsepower, no-of-cylinders, engine-type, city_mpg, highway_mpg etc.

decision-tree-regression ensemble knn-regression linear-regression machine-learning-algorithms matplotlib-pyplot numpy pandas python3 random-forest-regression regression seaborn xgboost-regression

Last synced: 04 May 2026

https://github.com/vinicius999/icu-beds-forecast-covid-19

PrediΓ§Γ£o da ocupaΓ§Γ£o de leitos de UTI no Brasil devido a pandemia do COVID-19, usando Support Vector Regression (SVR)

covid-19 matplotlib numpy pandas python sklearn support-vector-regression

Last synced: 03 May 2026

https://github.com/pramodyasahan/binary-classifier

This repository houses the code for a machine learning model designed to predict customer churn. The model is built using Support Vector Machine (SVM) from the scikit-learn library and incorporates preprocessing, pipeline, and grid search techniques for optimal performance.

numpy pandas scikit-learn

Last synced: 03 May 2026

https://github.com/asayda01/airport_operations_analytics

The project analyzes the performance of Hold Baggage Screening X-ray Machines, identifying trends in system load, bottlenecks, and operator efficiency. Using an interactive Streamlit app, users can explore data-driven insights to optimize airport screening processes and improve overall operational performance.

data-science dataanalysis datainsights datavisualization numpy pandas python streamlit

Last synced: 03 May 2026

https://github.com/coderooz/handwritten_digit_recognition

This project uses a Convolutional Neural Network (CNN) to recognize handwritten digits from the MNIST dataset. The model is built using TensorFlow and Keras.

colab handwritten-digit-recognition image-classification matplotlib neural-network numpy python tensorflow

Last synced: 03 May 2026

https://github.com/naritanara/tf-test

Mostres de ML i IA amb TensorFlow basades en els tutorials oficials per al PR

numpy python research-project tensorflow tensorflow-tutorials

Last synced: 03 May 2026

https://github.com/joao-inacio/numpy-essencial-para-desenvolvedores-python

O curso foi elaborado para desenvolvedores Python que desejam explorar os recursos poderosos da biblioteca NumPy. AtravΓ©s de aulas prΓ‘ticas, eu vou adquirir as habilidades necessΓ‘rias para trabalhar com arrays multidimensionais, realizar cΓ‘lculos cientΓ­ficos complexos e manipular dados com eficiΓͺncia.

array array-manipulations array-methods jupyter-notebook numpy python python3

Last synced: 03 May 2026

https://github.com/sohamrider786/house_price_predictor

A machine learning project to predict house prices based on various property features using advanced regression techniques. This project demonstrates end-to-end model development, including data preprocessing, feature engineering, model training, evaluation, and visualization.

machine-learning matplotlib-pyplot numpy pandas random-forest-regression sklearn-library

Last synced: 04 May 2026

https://github.com/anas436/ibm-cloud-data-analysis-of-cars

Exploratory Data Analysis of Cars in Python

ibmwatson matplotlib numpy pandas python3 seaborn

Last synced: 04 May 2026

https://github.com/dr-rompecabezas/medical-data-visualizer

[freeCodeCamp] Medical Data Viz Jupyter Notebook built with Matplotlib and Seaborn

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 04 May 2026

https://github.com/ortanav2/parabola-visualizer

Simple parabola-visualizer made with matplot+numpy [Formula: a(x+d)Β²+e]

mathematics matplotlib numpy parabola visualization

Last synced: 04 May 2026

https://github.com/jakeoeding/rippy

A Python seam carving implementation

numpy python3 seam-carving

Last synced: 04 May 2026

https://github.com/dmdlgg/calculadora_de_indicadores_estatisticos

Uma calculadora que retorna a mΓ©dia, mediana, desvio padrΓ£o, quartis e variΓ’ncia dos dados inseridos pelo usuΓ‘rio. Tecnologias utilizadas: Flet, Python e Numpy. (Ainda em andamento)

flet numpy pyhton

Last synced: 04 May 2026

https://github.com/arsalan692/python-telusko-playlist

A collection of beginner Python scripts and practice exercises from my early learning days, inspired by Telusko and other resources.

basic-programming bs4 matplotlib numpy oop pandas python requests selenium tkinter

Last synced: 04 May 2026

https://github.com/jonad/titanic_exploratory_analysis

Exploratory Data Analysis on Titanic Dataset

jupyter-notebook numpy pandas python3

Last synced: 04 May 2026

https://github.com/sugha22/data_analysis

Actively upskilling in data science with hands-on learning during a Green Internship focused on environmental sustainability. Used Pandas and NumPy for data preprocessing and cleaning, and created visual dashboards in Excel and Tableau. Gained experience in interpreting sustainability metrics and communicating insights through data storytelling and

data-cleaning data-collection data-storytelling data-transformation excel numpy pandas preprocessing sustainability-metrics tableau-dashboards visualization

Last synced: 04 May 2026

https://github.com/wwwmisla/gerador-mapas-calor

Sistema de visΓ£o computacional para gerar mapas de calor com base na movimentaΓ§Γ£o em espaΓ§os pΓΊblicos, auxiliando no planejamento urbano e uso eficiente do espaΓ§o.

color computer-vision demo google-colab gradio heatmap marchine-learning matplotlib model numpy opencv people-detection python smart-city ufrn visao-computacional vision-computer yolo yolov8

Last synced: 04 May 2026

https://github.com/abhijeet-bhambere/exploratory_data_analysis

A collection of several projects for conducting EDA on datasets from various sources

exploratory-data-analysis matplotlib numpy pandas python

Last synced: 04 May 2026

https://github.com/pedasoft-consult/product_purchase_prediction

As a newly hired AI Engineer, your task is to predict customer behavior based on various features such as age, income, and gender. This exercise involves cleaning the data, training a decision tree model, and evaluating the model's performance to understand the key factors influencing customer purchasing decisions.

machine-learning matplotlib numpy pandas python seaborn sklearn

Last synced: 04 May 2026

https://github.com/0nom4d/308reedpipes

Mathematical EPITECH Project - This project computes a representation of a reedpipe.

coverage epitech epitech-project matplotlib-pyplot numpy pytest python scipy

Last synced: 04 May 2026

https://github.com/swarup-ranjan-mondal/chat-analyzer

A streamlit app to analyze whatsapp personal and group chats.

matplotlib numpy pandas python seaborn streamlit

Last synced: 04 May 2026

https://github.com/jakubfr4czek/apartment-prices-analysis

This repository contains an analysis of apartments prices in Krakow. It was made for "Rachunek prawdopodobieΕ„stwa i statystyka" (probability and statistics) course i took at AGH University of Science.

agh agh-wi analysis csv jupyter jupyter-notebook krakow numpy pandas price-analysis price-prediction probability probability-statistics python statistics statistics-learning

Last synced: 04 May 2026

https://github.com/chathumiamarasinghe/nn-training-model

A comprehensive project for training neural networks to solve real-world problems. This repository includes customizable code for building, training, and evaluating neural network architectures using popular deep learning frameworks.

jupyter-notebook matplotlib numpy phyton scikit-learn

Last synced: 04 May 2026

https://github.com/alphan26/optimal-logistics-locator

This is a project in which we estimate the biomass avaibility of places due to their index and determine the optimal preprocessing depot and biorafinery in Gujarat, India

numpy pandas python sckit-learn

Last synced: 04 May 2026

https://github.com/dmkk01/mlp-python

Implementation of a multilayer perceptron using Pytorch and Numpy libraries

mlp numpy pytorch

Last synced: 05 May 2026

https://github.com/siddhantborse/atmosviz

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

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

Last synced: 05 May 2026

https://github.com/lin826/nanogpt-demo

Training and finetuning local GPTs.

gpt nanogpt numpy pytorch tqdm transformers

Last synced: 05 May 2026

https://github.com/bhaskarkulshrestha/rock-vs-mine-prediction

A machine learning project to predict whether an object detected underwater is a rock or a mine using Logistic Regression.

colab-notebook logistic-regression machine-learning numpy pandas python sckit-learn supervised-learning

Last synced: 05 May 2026

https://github.com/burhanali2211/marksanalyzer

This is a simple CLI-based tool that helps analyze student marks by calculating key statistics such as the highest and lowest scores.

analysis analyzer arrays marks numpy

Last synced: 05 May 2026

https://github.com/iamwatchdogs/retail-insights-from-superstore-data

An simple Data Analysis Project for finding insight within the Super store data set

conda-environment data-analytics jupyter-notebook matplotlib numpy pandas python

Last synced: 05 May 2026

https://github.com/vc-nithesh944/pandas_numpy

Practice repository for NumPy & Pandas with scripts, notebooks, and notes for future revision

numpy pandas

Last synced: 05 May 2026

https://github.com/badranalyst/residential-unit-prices-data-analysis-application

Python-based analysis of residential unit prices, focusing on data cleaning, visualization, and exploratory data analysis (EDA). Key features include price distribution, and correlation analysis between factors like size, location, and pricing.

data-analysis data-visualization dataset matplotlib numpy pandas python seaborn

Last synced: 05 May 2026

https://github.com/thomasa/python-intro

This is a Jupyter notebook slide show for a 2-hour crash intro to Python, NumPy, Matplotlib, and SciPy

matplotlib numpy python scipy tutorial

Last synced: 05 May 2026

https://github.com/elijahondiek/data-analysis-udacity

Udacity Data Analysis Nano Degree course resources

jupyter-notebook matplotlib numpy pandas python

Last synced: 05 May 2026

https://github.com/lruizap/tomography-with-algebraic-topology

This project aims to analyze images using algebraic topology. The goal is to extract structural information from images through mathematical concepts such as connected components and loops.

gudhi jupyter-notebook matplotlib numpy opencv python tomography

Last synced: 05 May 2026

https://github.com/yenk/human-genomic-meta-analysis

Meta analysis of genomic studies to better understand if telomeres in the human genome are impacted by age from wild animals data.

linear-regression machine-learning matplotlib numpy scipy

Last synced: 05 May 2026

https://github.com/rayan-alam-uoit/space-x-launch-prediction-tool

A full-stack data science project analyzing SpaceX launch data using web scraping, REST APIs, SQL, interactive visualizations, and machine learning in Python to explore trends and predict launch success.

dash data-science folium jupyter-notebook machine-learning matplotlib numpy pandas plotly python seaborn sql sqlite

Last synced: 05 May 2026

https://github.com/ranaessam03/climate-prediction

A machine learning project to predict rainfall using Decision Tree, k-Nearest Neighbors (kNN), and NaΓ―ve Bayes, with preprocessing, model evaluation, and custom kNN implementation.

decision-trees knn-classification machine-learning naive-bayes-classifier numpy sklearn

Last synced: 05 May 2026

https://github.com/tapas-gope/diwali-sales-analysis

Analyze Diwali Sales Data to improve customer experience and sales.

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

Last synced: 05 May 2026

https://github.com/himanshigautam-rgb/python_libraries

This repository contains operations in Matplotlib for data visualization, NumPy for numerical computations, and Pandas for data manipulation and analysis. These libraries work together to efficiently process, analyze, and visualize data.

matplotlib numpy pandas python3

Last synced: 05 May 2026

https://github.com/anushkundu/crime-pattern-analysis

Analyzing Crime Patterns in Montgomery County, USA: An Inclusive Study Based on NIBRS Data (2016-2022)

data-analysis data-visualization descriptive-statistics matplotlib numpy pandas python seaborn

Last synced: 05 May 2026

https://github.com/theadeelahmed/mall-customers-segmention

This project segments mall customers based on income, age, and shopping score. Using clustering techniques, it identifies key customer groups for targeted marketing campaigns. Tools used: Pandas, Matplotlib, Seaborn, and Scikit-learn

matplotlib-pyplot numpy pandas python3 seaborn sklearn-clustering

Last synced: 05 May 2026

https://github.com/aathira2001/python-basics

Basic Python concepts with examples

functions numpy pandas python variables

Last synced: 05 May 2026

https://github.com/muthupillai1204/diwali_sales_analysis

The Diwali sales analysis reviews past data to identify trends, peak buying times, popular products, and customer demographics. It assesses sales volume, revenue growth, and promotional effectiveness, helping businesses optimize marketing and inventory for future seasons.

data datacleaning eda excel jupyter-notebook matlplotlib numpy pandas python seaborn visualization

Last synced: 05 May 2026

https://github.com/sahaninilesh/future_ds_01_social-media-sentiments-analysis

The Social Media Sentiments Analysis Dataset captures a vibrant tapestry of emotions, trends, and interactions across various social media platforms. This dataset provides a snapshot of user-generated content, encompassing text, timestamps, hashtags, countries, likes, and retweets. Each entry unveils unique storiesβ€”moments of surprise, excitement,

jupyter matplotlib numpy pandas python

Last synced: 05 May 2026

https://github.com/amruta33/lead_scoring_case_study

An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.

bagging linear-regression numpy pandas python3

Last synced: 05 May 2026

https://github.com/ayushdutta-ai/face-recognition-model

A custom face recognition model built from scratch using Python, OpenCV, Pillow, and Face libraries, utilizing LBPH for efficient facial feature extraction and accurate identification.

face haar-cascade lbph-face-recognizer numpy opencv pillow

Last synced: 05 May 2026

https://github.com/tsungtsetu122/patternrecognition-gnn-node-classification

This project implements a Mixed Graph Neural Network (GNN) for semi-supervised multi-class node classification using the Facebook Large Page-Page Network Dataset. The goal of the project is to predict the class of each node (page) based on 128-dimensional feature vectors and the graph structure connecting the nodes.

evaluation-metrics gnn matplotlib networkx numpy optimization pandas python pytorch-geometric

Last synced: 05 May 2026

https://github.com/supernovasatsangi23/modifying-biomarker-gene-identification-for-effective-cancer-categorization

A project that focuses on implementing a hybrid approach that modifies the identification of biomarker genes for better categorization of cancer. The methodology is a fusion of MRMR filter method for feature selection, steady state genetic algorithm and a MLP classifier.

dataset deep-learning deep-neural-networks feature-selection genetic-algorithm machine-learning machine-learning-algorithms mlp-classifier mrmr neural-network numpy pandas-dataframe python python3 scikit-learn scikit-learn-python tkinter-gui tkinter-python

Last synced: 05 May 2026

https://github.com/kalwalt/pybind-test

A simple example with pybind and numpy with C++ code

cplusplus numpy pybind11 python

Last synced: 05 May 2026