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/hafidaso/predicting-industrial-machine-downtime-level-3

This project aims to develop a predictive model using machine learning techniques to forecast machine failures based on historical operational data.

imbalanced-learning numpy pandas python scikit-learn seaborn xgboost

Last synced: 16 Apr 2026

https://github.com/sasanka14/water_quality_predictions

Water Quality Prediction - College Project 🌊💧 Predicts water potability (safe/unsafe) using ML models like XGBoost & Random Forest. Features data preprocessing, feature importance, model evaluation, and visualizations. Built with Python, Pandas, Scikit-learn & Seaborn for analysis. 🚀

anaconda jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn xgboost

Last synced: 16 Apr 2026

https://github.com/urvee1810/air-quality-prediction-using-arima

Analyzed Beijing's air quality data using time series analysis and ARIMA modeling to forecast PM2.5 pollution levels. Identified seasonal patterns and correlations between pollutants, revealing insights into urban air quality trends and potential contributing factors.

arima-model dickey-fuller-test matplotlib numpy pandas python seaborn statistical-analysis time-series-analysis

Last synced: 16 Apr 2026

https://github.com/costrouc/xnd-notebooks

A collections of notebooks that demonstrate xnd, ndtypes, and gumath features

binder gumath ndtypes notebooks numba numpy xnd

Last synced: 16 Apr 2026

https://github.com/khaymanii/calories-burnt-prediction-model

This model was built using Python and XGBoost Regression algorithm

matplotlib numpy pandas python scikit-learn

Last synced: 16 Apr 2026

https://github.com/shiqilu77/machinlearning-lol_gaming

a supervised model that predicts the match winning rate in LOL game based on the lineups of both sides. Implemented data processing by multiple python API including sklearn, NumPy, pandas, and by feature encoding, kNN, Synthetic Minority Oversampling Technique, etc

league-of-legends machine-learning numpy supervised-learning

Last synced: 16 Apr 2026

https://github.com/archish27/pythontutorial

Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications

matplotlib numpy pandas pygame python python-2 python-3 scikit-learn soup

Last synced: 01 Apr 2026

https://github.com/rahulchouhan1/spotify-most-popular-songs-data-analysis

🎵 Spotify Songs Analysis using Pandas

matplotlib numpy pandas

Last synced: 16 Apr 2026

https://github.com/marcow2812/zuse-projekt

Python-basierte Software zur Projektion von 3D-Objekten auf einen Würfel

augmented-reality numpy opencv-contrib python

Last synced: 16 Apr 2026

https://github.com/kganitis/bam-engine

High-performance Python implementation of the macroeconomic agent-based BAM model using ECS architecture

agent-based-modeling computational-economics macroeconomics numpy python

Last synced: 04 Mar 2026

https://github.com/miozilla/treebasedmodel

treebasedmodel :evergreen_tree::airplane::dancer: : Invistico Airline | Tree-based Modeling, Machine Learning (ML), Predictive, Decision Making, GridSearchCV, sklearn |

accuracy decisiontreeclassifier exemplar experience f1-score flight hyperparameter logistic-regression matplotlib model numpy pandas plot-tree precision pyplot recall seaborn selection train-test-split tuning

Last synced: 03 Jun 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/gauravtrivedi967/lane_detection

Lane detection and tracking are the advanced key features of the advanced driver assistance system. Lane detection is the process of detecting white lines on the roads. In this we I have used prebuild models for the development of the code

ipython-notebook numpy python thresholding

Last synced: 06 Mar 2026

https://github.com/neerajcodes888/a-novel-used-car-price-prediction-model-based-on-lindenoise

Welcome to the LinDenoise Repository! LinDenoise offers a smart solution for cleaning noisy data in regression tasks. Integrated seamlessly within the widely-used scikit-learn framework, it effortlessly enhances data quality while improving predictive accuracy

car-price-prediction deep-learning ipynb-notebook machine-learning numpy pandas python3 visualization

Last synced: 06 Mar 2026

https://github.com/psavarmattas/speechtotext

we shall build a very simple speech recognition system that takes our voice as input and produces the corresponding text by hearing the input.

facebook-api ipython librosa machine-learning numpy python pytorch soundfile transformers

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/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/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/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/harmanveer2546/nasa-asteroid-classification

Classifying whether an asteroid is hazardous or not.

eda matplotlib numpy pandas python seaborn visualization xbgoost

Last synced: 02 Apr 2026

https://github.com/cosmicsid004/air_draw

Digital drawing....

handtracking mediapipe numpy opencv

Last synced: 30 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/quinnphil/math-for-programmers

Work-alone code for Math for Programmers book by Paul Orland

geometry mathematics matplotlib numpy python

Last synced: 17 Apr 2026

https://github.com/smartpottech/smartpot-datagenerator

SmartPot-DataGenerator simulates environmental and plant data (temperature, humidity, luminosity, pH, TDS, soil moisture) for hydroponic garden management. This data is used for testing, analysis, and visualization in the SmartPot web portal, helping optimize plant care without actual hardware sensors.

data-model matplotlib numpy python simulated

Last synced: 17 Apr 2026

https://github.com/mwoss/mownit

Various tasks from numerical analysis laboratories solved using Python

jupyter-notebook mathematics matplotlib numerical-analysis numpy python scipy

Last synced: 17 Apr 2026

https://github.com/lexxai/goit_python_ds_hw_01

GoIT, Python Data Science, Homework number 1.

data-science google-colab jupyter-nootebook numpy numpy-arrays python

Last synced: 18 Apr 2026

https://github.com/awanraskall/retail-demand-analysis

Data analysis of retail meal orders, fulfillment centers, and product demand using Python

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

Last synced: 18 Apr 2026

https://github.com/gregoritsch3/ml_clustering_eda_customersegmentation

An EDA and Machine Learning Clustering exercise on the Mall Customer Segmentation synthetic dataset demonstrating the use of KMeans Clustering and the Elbow Method. The clustering algorithm successfully segments the customer base into groups distinguishable by their annual income and spending score.

clustering kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn

Last synced: 04 Apr 2026

https://github.com/sultanazhari/decisive-model-with-high-profit-potential-and-low-risk

OilyGiant mining company finding the best place for 200 new well points, As an Data Scientist we're creating a model who can choose the best 200 point by profit and risk.

accuracy-score chi2-contingency confusion-matrix logistic-regression matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn

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/perpendicooler/elementary-research-for-steamboat-willie-s-store-in-poland

An elementary research for a company to opening store in a city using gurobi and pulp optimization.

christofides-algorithm gurobipy numpy pandas pulp python3 scikit-learn travelling-salesman-problem

Last synced: 05 Apr 2026

https://github.com/al-ghaly/prosper-loans-analysis

A statistical Analysis Project, to analyze the data of a finance company’s loans Using Python packages (pandas – NumPy – seaborn – matplotlib)

data-analysis matplotlib numpy pandas python python-data-analysis seaborn statistical-analysis statistics

Last synced: 18 Apr 2026

https://github.com/znreza/paradoxes

Q-learning algorithm from scratch in python for optimal path finding

grid grid-search matrix numpy python qlearning-algorithm reinforcement-learning

Last synced: 18 Apr 2026

https://github.com/amdjadouxx/my_neural_network

implementation of a neural network library

deep-neural-networks ia machine-learning numpy python3

Last synced: 18 Apr 2026

https://github.com/codetun/wie-act-challenge-ai

Our AI model, integrated with the Defend Her extension, uses advanced natural language processing (NLP) to predict and identify offensive or harmful language in real-time 🧠💬🚫. By continuously analyzing content, it ensures accurate detection of bad words, enhancing the extension's ability to protect users and promote a safer online environment 🌐

colab csv jupiter-notebook kaggle nltk numpy pandas

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/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/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/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/marknature/codealpha-internship_python-programming

Python Programming Internship at CodeAlpha from 1st June 2025 to 30th June 2025

numpy pandas python3

Last synced: 20 Apr 2026

https://github.com/prashhhant213/data_analysis_and_visualization-_for_streaming_platform

Data Analysis and Visualization for streaming platform to provide insights and recommendations to improve their userbase.

colab-notebook data datavisualization matplotlib numpy pandas python seaborn

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/mohammed-majid/image-classification-nn

Image classification using custom Neural Network (No ML packages)

custom multiclass-classification neural-network numpy

Last synced: 22 Apr 2026

https://github.com/ahmad-ali-rafique/numpy-mastery-notebook

Inside this repository, you'll discover a comprehensive notebook dedicated to showcasing various NumPy array methods and operations. From basic array manipulation to advanced techniques, I've compiled a collection of examples and explanations to help both beginners and seasoned Python developers deepen their understanding of NumPy.

dataanalytics numpy numpy-arrays numpy-exercises numpy-library numpy-python

Last synced: 24 Apr 2026

https://github.com/theroyakash/shallow_neural_network

Design of an one hidden layer neural network using numpy only,

neural-networks numpy shallow-neural-network

Last synced: 24 Apr 2026

https://github.com/alepheleven/neuralnet

Neural Network library in NumPy✨

neural-network numpy

Last synced: 24 Apr 2026

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/jagkagd/np-xarr

Perform a numpy array transformation intuitively by giving simple patterns.

numpy python

Last synced: 25 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/m-k-l-s/sudoku

A trivial sudoku solver in Python, using recursion and numpy.

backtracking numpy python recursion solver sudoku

Last synced: 27 Apr 2026

https://github.com/hinanohart/dostosim

Dostoevskian agent-based simulation: seven literary archetypes as a unified reward decomposition. Anti-optimisation, dignity-as-utility, ideological cascade, gambler-ruin — pre-registered H1-H4 with bootstrap CI / BH-FDR / Cliff's delta.

abm agent-based-modeling behavioral-economics bootstrap-ci computational-social-science dostoevsky literature networkx numpy python reproducible-research

Last synced: 27 Apr 2026

https://github.com/brendandasilva/applieddatascience

4 projects from Applied Data Science

data-science numpy pandas python

Last synced: 27 Apr 2026

https://github.com/lupin3000/tello-python

Python application to control the DJI Tello Drone with different controllers.

debian dji-sdk djitellopy drone dualsense-controller evdev hidapi macos numpy opencv python stadia-controller tello unihiker

Last synced: 27 Apr 2026

https://github.com/l2nce/datamining-study

Introduction to data mining

data-analysis data-mining matplotlib numpy panda

Last synced: 28 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/tdeepa20/heart-disease-prediction-using-ml

Machine Learning models to predict heart disease using patient medical data

datascience jupyer-notebook machinelearning numpy python sklearn

Last synced: 28 Apr 2026

https://github.com/ronverse17/automate-data-cleaning

This project automates messy data cleaning tasks - like fixing column names, filling missing values, and spotting outliers, so analysts and data scientists can spend more time on insights, not preprocessing.

numpy pandas pipeline python

Last synced: 28 Apr 2026

https://github.com/varun-khorgade/salesense-e-commerce-analytics

Analyzed e-commerce datasets to discover customer behavior trends and business insights. Performed EDA, data cleaning, and visualizations to help stakeholders make data-driven decisions.

customer-behavior-analysis dashboards datacleaning exploratory-data-analysis feature-engineering jupyter-notebook matplotlib numpy pandas python seaborn sql time-series-trend visulaization

Last synced: 28 Apr 2026

https://github.com/hadson0/chess-live-ratings-data

A study project focused on web scraping the live chess ratings from chess.com, with data analysis and visualization on nearly 5000 players in the classical world ranking.

beautifulsoup chess data-analysis data-visualization numpy pandas python seaborn web-scraping

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/varakanthamsaihruthikreddy975/avocadopricesanalysis

This data analysis finds out the trends and analysis of avocado data by year

matplotlib-pyplot numpy pandas scipy scipy-stats seaborn sklearn-preprocessing

Last synced: 28 Apr 2026

https://github.com/udipta14/historical-olympic-games-eda-python

Exploratory Data Analysis of a Historical Olympic Games Dataset, including all the games from Athens 1896 to Rio 2016.

data-cleaning data-visualization eda matplotlib numpy pandas python3 seaborn

Last synced: 28 Apr 2026

https://github.com/shreeparab1890/indian-elections-2019-analysis-eda

This ipython notebook is the Exploratory data analysis (EDA) of the Indian Lok Sabha Elections 2019.

data data-analysis data-science data-visualization eda exploratory-data-analysis matplotlib numpy pandas plotly python python3 visualization

Last synced: 28 Apr 2026

https://github.com/manalisbhavsar/stock-price-prediction

Stock Price Prediction model using Machine Learning and LSTM to forecast future stock prices based on historical data. Achieved a low error rate of 3.2% by leveraging moving averages and deep learning techniques, ensuring accurate predictions.

data-analysis deep-learning lstm machine-learning matplotlib numpy pandas python

Last synced: 28 Apr 2026

https://github.com/technologicat/pylu

Small nogil-compatible linear equation system solver

cython linear-equations numerical numpy python python2 python27 python3 python34 solver

Last synced: 28 Apr 2026

https://github.com/ahmedsamir45/mean_variance_standard_deviation_calculator

take list of numbers and return it 3x3 array and calculate mean variance and std for rows columns and all array

mean numpy standard-deviation variance

Last synced: 28 Apr 2026

https://github.com/mahmood-anaam/wheeled-robot-simulation

A Python simulation of a robot equipped with four Swedish wheels, focusing on accurately modeling its kinematics and dynamics to analyze specific motion scenarios.

kinematics-dynamics matplotlib-python numpy python robotics-simulation roboticstoolbox-python swedish-wheels

Last synced: 28 Apr 2026

https://github.com/josualimbu/face-recognition

Face Recognition with Name, and only need 1 image for 1 person for the dataset to run Face Recognition.

face-detection face-recognition numpy python simple-face-recognition

Last synced: 28 Apr 2026

https://github.com/linsanity03/fraud_detection_using_autoencoders

Leverage autoencoders, a type of neural network, for detecting fraudulent financial transactions by identifying anomalies in transaction patterns that deviate from the norm.

matplotlib numpy pandas pytorch seaborn

Last synced: 28 Apr 2026