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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/redinfinitypro/pygamecicruit

Rating: (6/10) The code combines a Pygame GUI application with a PySpice circuit simulation, providing a user-friendly interface with buttons, menu options, dropdown menus, input boxes, sliders, and text elements.

matplotlib numpy os pygame pyspice random sys

Last synced: 24 Apr 2026

https://github.com/pawpaw2022/proj03-math-painting

An app that lets the user provide the start coordinates of geometrical shapes such as squares and rectangles, their dimensions, and their colors, and the program produces an image file canvas with all the geometrical shapes drawn in it. (Click the link below to see the demo)

numpy pillow python

Last synced: 24 Apr 2026

https://github.com/nightmachinery/mlp_from_scratch

A simple MLP using only numpy. The computational graph is not automatically tracked, but the network supports arbitrarily many batch axes.

deep-learning deep-neural-networks deeplearning educational mlp mlp-classifier mlp-networks numpy

Last synced: 25 Apr 2026

https://github.com/takana671/texturegenerator

Procedually generate texture images from noise.

cloud cubemap cv2 cython noise noise-textures numpy python skybox

Last synced: 25 Apr 2026

https://github.com/timothyjan/cartoonify-image-opencv

Application that transforms images into its cartoon using Python, OpenCV(cv2), easyguy, numpy, imageio, and tkinter.

easygui imageio numpy opencv2 tkinter

Last synced: 25 Apr 2026

https://github.com/jagkagd/np-xarr

Perform a numpy array transformation intuitively by giving simple patterns.

numpy python

Last synced: 25 Apr 2026

https://github.com/pedroteixeiraw/predicting_football_match_results

This project focuses on modelling the attacking and defensive strength of teams in the Portuguese First League of Football, along with the impact of home advantage.

bayesian-hierarchical-models dixon-coles matplotlib numpy pandas poisson-distribution pymc3 seaborn theano-models

Last synced: 26 Apr 2026

https://github.com/dr-rompecabezas/mean-variance-standard-deviation-calculator

[freeCodeCamp] Numpy-based stats calculator

numpy python

Last synced: 26 Apr 2026

https://github.com/josttim/timelined_array

Manage easily 1 or multidimensionnal samples numpy arrays that are time related. Extends numpy without removing any of it's abilities on such arrays.

numpy python time-series-analysis

Last synced: 27 Apr 2026

https://github.com/technologicat/mpi_shim

MPI support wrapper for optional dependency on mpi4py

mpi mpi4py numpy optional python python2 python27 python3 python34 wrapper

Last synced: 27 Apr 2026

https://github.com/ydon96/versions-unveiled-the-evolution-of-nsa

Detection of Alzheimer's disease through the implementation of improved NSA algorithms

nsa numpy pandas python3 sklearn

Last synced: 27 Apr 2026

https://github.com/nyx1311/timelstm

TimeLSTM: An interactive Streamlit app for multi-step time series forecasting using LSTM networks, featuring data preprocessing, visualization, GPU-accelerated model training, and automated result export.

deep-learning deep-neural-networks lstm-neural-networks numpy pandas ploty python3 scikit-learn-python statsmodels streamlit torch tqdm

Last synced: 27 Apr 2026

https://github.com/crispengari/netflix-statistics

This is the visualisation of two categories of netflix movies which are: * movies * tv shows

data-science datafram jupyter-notebook matplotlib numpy pandas python

Last synced: 27 Apr 2026

https://github.com/saptarshi11/diamlp---diabetes-classification-with-multilayer-perceptron

Diabetes Classification using Multilayer Perceptron (MLP) is a binary classification problem where the goal is to predict whether a patient has diabetes (positive class) or not (negative class) based on a set of biomedical features or risk factors.

artificial-neural-networks binaryclassification machine-learning mlp-classifier numpy seaborn

Last synced: 27 Apr 2026

https://github.com/moonmoonsamal/data-driven-google-ads-for-listing-sites-analysis

Analyzed Google Ads performance to identify top channels, keywords, and geographical impact

cleaning-dataset eda manipulation modelling numpy visualization

Last synced: 27 Apr 2026

https://github.com/keizerzilla/como-funciona-meshgrid

Apontamento breve explicando como a função meshgrid do Numpy funciona.

meshgrid numpy

Last synced: 28 Apr 2026

https://github.com/binoydipu/ml-libraries

Machine Learning Libraries Repository

machine-learning numpy

Last synced: 28 Apr 2026

https://github.com/hai4320/ml_ai_notebook

All my note about ML, AI and Data Science

ai machine-learning numpy pandas scikit-learn

Last synced: 28 Apr 2026

https://github.com/gregoritsch3/dl_cnn_resnet50_digitrecognition

A Deep Learning Computer Vision project on the MNIST Digit Dataset. The project demonstrates the use of four TensorFlow Neural Network architectures, ranging from a basic Shallow Sigmoid Model to a Deep Convolutional Model constructed using the FunctionalAPI, and even a modified Resnet50 Model. Includes Error Analysis and test runs on real images.

cnn convolutional-neural-networks cv2 keras matplotlib numpy resnet-50 tensorflow

Last synced: 28 Apr 2026

https://github.com/dwade-eng/amazon-product-recommender-prototype-

This project is a content-based product recommendation engine inspired by Amazon's "Customers who viewed this item also viewed" feature. It uses a dataset of product metadata and user interactions to suggest similar items based on product titles, brands, and categories using TF-IDF vectorization and cosine similarity.

html numpy pandas python3 scikit-learn

Last synced: 28 Apr 2026

https://github.com/jovicdev97/financial-loan-datascience-notebook

using numpy and pandas to analyze a synthetic loan dataset with python

data-analysis matlabplot numpy pandas plotting python seaborn

Last synced: 28 Apr 2026

https://github.com/charlenry/machine_learning_estimer_prix_voiture

Projet de Machine Learning pour estimer le prix d'une voiture d'occasion via une application

joblib jupyter-notebook matplotlib-pyplot numpy oop-python pandas plotly-express python sklearn-linear-model sklearn-linear-regression

Last synced: 04 May 2026

https://github.com/hyperplasma/olympic-visualization-analysis

Multidimensional analysis and visualization of Olympic medals, economy, and happiness index.

data-analysis data-visualization matplotlib numpy pandas python wordcloud

Last synced: 04 May 2026

https://github.com/saifalibaig/crop-yield-prediction

🌾 A machine learning-based crop production prediction system using historical Indian agricultural data with advanced regression models and hyperparameter tuning.

eda feature-encoding feature-selection kaggle-dataset lasso-regression linear-regression matplotlib-pyplot numpy onehot-encoding pandas python3 ridge-regression seaborn simpleimputer xgboost-regression

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/jakubfr4czek/apartment-prices-analysis

This repository contains an analysis of apartments prices in Krakow. It was made for "Rachunek prawdopodobieństwa 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/abhinav330/911-emergency-calls-analysis

This Python Notebook analyzes emergency call data from the '911.csv' dataset. It uses various data visualization techniques to explore and gain insights into the emergency call data, including the types of calls, reasons for calls, and call patterns over time.

data-analysis data-science data-visualization eda exploratory-data-analysis exploratory-data-visualizations numpy pandas python

Last synced: 09 Jun 2026

https://github.com/youssefyaser/scrape-the-imdb-site-for-the-top-250-movies

Web scraping the top 250 movies in IMDB site.

data-analysis numpy pandas python

Last synced: 04 May 2026

https://github.com/abhishekyadav915/e-commerce-sales-analysis

E-Commerce Sales Analysis is a data analysis project that explores sales data from an e-commerce platform to uncover insights and trends. The analysis includes visualizing sales performance, customer behavior, and product trends to help optimize business strategies and improve customer satisfaction.

matplotlib-pyplot numpy pandas-library plotly python3

Last synced: 04 May 2026

https://github.com/dyrits/parite

OPENCLASSROOMS | PERFECTIONNEZ-VOUS EN PYTHON

matplotlib numpy pandas python

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/asuquoaa/applied_data_science_with_python_study

Notes, codes and practicals on the Applied Data Science with Python specialization by UM

matplotlib numpy pandas seaborn

Last synced: 04 May 2026

https://github.com/kaungkhantkyaw1997/face_recognition

A Computer Vision tool designed to identify and recognize characters in images.

face-recognition flask numpy opencv

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/lorenzorottigni/ml-missing-values

Machine Learning course of Piero Savastano 5: ColumnTransformer, SimpleImputer, numpy

column-transformer machine-learning missing-values numpy simple-imputer

Last synced: 05 May 2026

https://github.com/jokoum/sentiment-classification

Multi-layer Perceptron classification of product reviews written in Greek language

flask machine-learning multilayer-perceptron-network neural-network numpy python sentiment-classification

Last synced: 05 May 2026

https://github.com/vladd12/machine-learning-practice

Репозиторий для учебной практики и различных курсов, связанных с ИИ

json keras-tensorflow machine-learning numpy pandas pickle tensorflow2 torch xml

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/farial-mahmod/nuclear-energy-generation-prediction-logistic-regression

Nuclear Energy Generation Prediction Logistic Regression project is aimed at predicting the nuclear energy generation based on the production (generation) data from 1991 to 2023 by using Logistic Regression.

energy kaggle logistic-regression machine-learning matplotlib nuclear-energy nuclear-power numpy power python3 sklearn

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/nabilshadman/multiprocessing-time-series-data-simulation

A simulation using multiprocessing to generate 10,000 time dependent samples from an initial dataset of 20 samples

multiprocessing numpy pandas scipy simulation statistics time-series

Last synced: 05 May 2026

https://github.com/sowmi0304/predictive-modeling-titanic-survival-prediction

Machine learning project to predict passenger survival on the Titanic using classification algorithms, data preprocessing, and model evaluation techniques.

machine-learning matplotlib numpy pandas python seaborn

Last synced: 05 May 2026

https://github.com/13anush/python-libraries-

A collection of essential Python libraries—NumPy, Pandas, Matplotlib, and Seaborn—perfect for anyone starting out in data analysis.

data-analysis matplotlib numpy pandas python seaborn

Last synced: 05 May 2026

https://github.com/zafir100100/cancer-stage-prediction

This code predicts cancer data using various regression models, calculates their average R-squared scores, and prints the best model.

cross-validation data-analysis data-preprocessing decision-trees gradient-boosting linear-regression machine-learning-algorithms numpy pandas random-forest regression scikit-learn

Last synced: 05 May 2026

https://github.com/saksham-21/data_analysis-on-hindustan-times-

Performed a proper NLP based analysis from the headlines, date published and the category of the news. Moreover created a interactive Dashboard on Tableau

beautifulsoup matplotlib numpy pandas tableau

Last synced: 05 May 2026

https://github.com/lohiyah/dataset_summariser

A Python tool for generating concise summaries of datasets using Pandas and NumPy for analysis, and Matplotlib and Seaborn for insightful visualizations. Ideal for quick exploratory data analysis (EDA).

matplotlib numpy pandas seaborn

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/ranaessam03/climate-prediction

A machine learning project to predict rainfall using Decision Tree, k-Nearest Neighbors (kNN), and Naïve 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/mohitsai/boston-housing-data-analysis

Data Analysis Project for the City of Boston Government for insights into effect of property rennovations and remodelling on housing availability in the city

data-analysis data-science matplotlib numpy pandas python

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/chdl17/marvelvsdc

This GitHub repository contains Python and Tableau for analyzing Marvel Vs DC superheros.

excel jupyter-notebook numpy pandas python tableau-public

Last synced: 05 May 2026

https://github.com/ahmedabdalkreem/airline_passenger_satisfaction

In this project, we work in machine learning project that show the satisfacion of customer from the service that have in airline this service make it like this experience or not.

decision-trees gradient-boosting knn logistic-regression machine-learning matplotlib naive-bayes numpy pandas preprocessing python random-forest svm visualization

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/pyladiesams/python-oss-sprints-mar2024

Sprints to contribute to the most popular data and AI Python OSS libraries

conda dask geopandas jupyter matplotlib numpy pandas pymc sklearn

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/nandinimarepalli/ai_ml_internship_projects

Projects completed during my AI/ML and Data Expert internship, including EDA, machine learning models, and dashboard development using Python, pandas, scikit-learn, and visualization libraries.

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 05 May 2026

https://github.com/dulajkavinda/fashion-classification

👗 classify fashion items using machine learning

added machinelearning matplotlib numpy pandas python scikit

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/waghraj1699/fraud-detection-project

A fraud detection system with machine learning will be able to detect risk based on your historical data

data-processing decision-tree-classifier machine-learning numpy pandas

Last synced: 05 May 2026

https://github.com/nkamilla/titanic-eda

Exploratory Data Analysis of the Titanic dataset using Python (Pandas, NumPy, Matplotlib). Includes data cleaning, visualizations, correlations, and key business insights.

data-analysis eda jupyter-notebook matplotlib numpy pandas python titanic-dataset

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

https://github.com/nxhawk/mln

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

decision-tree-classifier genetic-algorithm jupyter-notebook machine-learning-algorithms numpy pandas sklearn-library

Last synced: 06 May 2026

https://github.com/vikkiezdev/ai-global-index-analysis

This project analyzes the AI readiness of 62 countries using key indicators like government strategy, commercial activity, research, development, and infrastructure. Through data cleaning, EDA, and visualization, it identifies key drivers of AI adoption and competitiveness.

cleaning-data correlation-analysis eda matplotlib numpy pandas python3 seaborn statistical-analysis

Last synced: 06 May 2026

https://github.com/leavers/npblob

Transfer numpy array between Python and JavaScript losslessly

array javascript matrix numpy python streaming typescript

Last synced: 06 May 2026

https://github.com/shahriarha/programming

Python problem solving, HR-30 days of code, DSA, NumPy

algorithms-and-data-structures cpp numpy programming python

Last synced: 06 May 2026

https://github.com/ianjure/simple-neural-network

Implementing a simple neural network using only Numpy.

deep-learning neural-network notebook numpy scratch-implementation

Last synced: 06 May 2026

https://github.com/frolov-andrey2405/mandelbrot-s-fractal

Mandelbrot's Fractal Constructions

numba numpy pygame python

Last synced: 06 May 2026

https://github.com/billgewrgoulas/recommendation-systems

Algorithms for joke rating prediction using the joke data-set from Kaggle.

algorithm clustering collaborative-filtering machine-learning numpy pandas recommender-system scikit-learn scypi

Last synced: 06 May 2026

https://github.com/mat-kubiak/manual-ml

DIY ML framework (using only NumPy!) + various demos

artificial-intelligence examples machine-learning ml ml-framework neural-networks numpy

Last synced: 06 May 2026

https://github.com/sankaran-s2001/us-traffic-accidents-analysis-python-eda

Exploratory data analysis of US traffic accidents from 2016-2023, analyzing patterns by time, location, weather, and severity using Python data science libraries.

data-analysis data-science data-visualization eda matplolib numpy pandas python

Last synced: 06 May 2026

https://github.com/erick957/saleprice-prediction-dataset-analysis-and-cleaning-advance-regression

🏠 Predict house prices using advanced regression techniques with this comprehensive analysis and cleaning project, from data loading to model deployment.

data-analysis data-science eda google-colab machine-learning numpy pandas python scikit-learn scikit-learn-python

Last synced: 06 May 2026

https://github.com/andrewsy1004/logistic-regression-spam-classifier

This project implements a spam email classifier using Logistic Regression.

numpy pandas scikit-learn

Last synced: 06 May 2026

https://github.com/abhinav330/customer-behavior-analysis-linear-regression

This repository explores customer behavior data for an NYC clothing company with both a mobile app and website. They want to understand which platform drives higher sales.

data-analysis data-science data-visualization eda exploratory-data-analysis jupyter jupyter-notebook linear-regression machine-learning machine-learning-algorithms machinelearning-python numpy pandas python regression-analysis

Last synced: 06 May 2026

https://github.com/5hraddha/optimize-oil-well-locations

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

linear-regression numpy pandas scikit-learn supervised-learning

Last synced: 06 May 2026

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