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/khushi130404/k_means

This repository showcases 2D, 3D, and custom K-Means clustering models with visualizations. It includes both Jupyter notebooks and Python scripts for ease of reproducibility.

clustering-algorithm k-means-clustering numpy plotly sklearn

Last synced: 08 May 2026

https://github.com/mttgdd/openfabmap-python3

Pybind11 and numpy array bindings to openFABMAP

cpp numpy openfabmap pybind11 python robotics vision

Last synced: 08 May 2026

https://github.com/gama1903/digital_image_processing

Implementation of Basic Algorithms of Digital Image Processing mainly through Numpy.

digital-image-processing numpy opencv python

Last synced: 08 May 2026

https://github.com/momo790-m/startup-profit-prediction

Machine learning project to predict profits of new startups based on R&D, Admin, Marketing, and State data

assumptions business colab-notebook linear-regression machine-learning matplotlib numpy pandas preprocessing seaborn skit-learn sklearn

Last synced: 08 May 2026

https://github.com/chdl17/imdb-assignment

This GitHub repository contains a project that performs an analysis of the IMDb movie rating dataset. The data is used to explore the relationships between various features and the movie rating. Visualizations are used to illustrate the results of the analysis. The code is organized into a Jupyter Notebook file and data files.

numpy pandas-dataframe python

Last synced: 08 May 2026

https://github.com/dhruvil-26/python-projects

This repository contains Python projects showcasing data analysis and visualization. 1. IMDB Movie Analysis: Analyzing movie trends, genres, and ratings. 2. Loan Default Analysis EDA: Exploring factors contributing to loan defaults.

eda imdb-dataset loan-default-analysis matplotlib numpy pandas python seaborn visualization

Last synced: 08 May 2026

https://github.com/prakashjha1/stock-investment-analysis

Stock Investment Analysis Project can help investor to select the better performing stocks.

data-analysis data-science numpy pandas pandas-datareader parallel-programming python

Last synced: 08 May 2026

https://github.com/alain-godo/spotify-popularity

A simple analysis and modeling for prediction of the popularity of songs on Spotify

linear-regression machine-learning numpy pandas random-forest sckiit-learn spotify tree-decision

Last synced: 08 May 2026

https://github.com/zuecopio/vco_2425

Computer Vision (VCO) subject practices

cv2 matplotlib numpy opencv pilllow

Last synced: 08 May 2026

https://github.com/akansharajput280799/data-exploration-and-visualization-for-streaming-platform

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

data-visualization excel exploratory-data-analysis matplotlib numpy python seaborn

Last synced: 08 May 2026

https://github.com/octavioduarte/datascience

A repository with study notes on Data Science concepts, NumPy, pandas, and an introduction to statistics.

data-science jupyter-notebook numpy pandas

Last synced: 08 May 2026

https://github.com/amiegirl/ford_gobike-tripdata

This data set includes information about individual rides made in a bike-sharing system covering the greater San Francisco Bay area.

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 08 May 2026

https://github.com/niteshchawla/nc-walmart-casestudy

The Management team at Walmart Inc. wants to analyze the customer purchase behavior (specifically, purchase amount) against the customer’s gender and the various other factors to help the business make better decisions. They want to understand if the spending habits differ between male and female customers:.

central-limit-theorem confidence-intervals matplotlib-pyplot numpy pandas python scipy-stats seaborn stats

Last synced: 08 May 2026

https://github.com/rohansoni45/ipl-win-predictor

A machine learning model that predicts the outcome of IPL matches based on historical data and player performance. Built using Python and libraries like Pandas, NumPy, and scikit-learn. This project demonstrates the use of classification algorithms to predict match outcomes.

classification data-science ipl machine-learning model-evaluation numpy pandas python sklearn sports-analytics

Last synced: 08 May 2026

https://github.com/himanshugoyal77/movie-recommendation

Cosine similarity based Recommendation Engine

nltk numpy pandas requests-library-python tmdb-api vectorization

Last synced: 08 May 2026

https://github.com/antonio-f/simple-k-nearest-neighbors

Simple K-Nearest Neighbors using partial sort

101 k-nearest-neighbors knn numpy partial-sort python tutorial

Last synced: 08 May 2026

https://github.com/alz-11/ftoc

Fahrenheit to Celsius conversion analysis, comparing accurate and approximate methods with visualizations and error analysis.

approximation celsius conversion data-visualization error-analysis fahrenheit fahrenheit-to-celsius jupyter jupyter-notebook matplotlib numpy python python-3 python3

Last synced: 08 May 2026

https://github.com/egrizq/bike_analysis

Exploring the bike sharing system to find the patterns behind user behavior by weather, season, hour, and months.

data-science matplot numpy python seaborn

Last synced: 08 May 2026

https://github.com/moustafamohamed01/data-analysis-ecommerce-purchases

Data Analysis : Analyzing (Ecommerce Purchases) dataset from Kaggle

jupiter-notebook numpy pandas python

Last synced: 08 May 2026

https://github.com/thekartikeyamishra/data-preprocessor

A Google Colab module for interactive data preprocessing. Handles missing values, categorical encoding (One-Hot, Label), and numerical scaling (Standard, MinMax). Outputs a cleaned dataset

ipywidgets numpy pandas python scikit-learn

Last synced: 08 May 2026

https://github.com/deepcloudlabs/dcl702-2020-sep-16

DCL-702: Data Analytics using Python

data-analytics numpy pandas python python-3

Last synced: 08 May 2026

https://github.com/0290192029/apartment-price-predictor

Python-проект по прогнозированию стоимости аренды квартир с помощью линейной регрессии. Практическая работа по теме: "Основы машинного обучения" дисциплины "МДК 13.01: Основы применения методов искусственного интеллекта в программировании".

apartment-price-prediction apartments-for-rent api correios-api data-analysis feature-engineering feature-enginering linear-regression linear-regression-models mlops numpy prediction-model r seaborn

Last synced: 08 May 2026

https://github.com/leandro-bertoluzzi/parchis-probabilities

Small weekend project to play around with numpy and help me taking decissions while playing parchís

matplotlib numpy python

Last synced: 08 May 2026

https://github.com/sahil210695/numpy-basics

A brief overview of NumPy basics

data-science numpy numpy-tutorial python

Last synced: 08 May 2026

https://github.com/filnow/tinygimp

project for image processing class

gimp numpy opencv pysimplegui python3

Last synced: 08 May 2026

https://github.com/sunnyrao07/water-quality-analysis

A machine learning project that predicts water potability based on chemical and physical attributes, using models like Logistic Regression, Random Forest, and XGBoost.

data-cleaning label-encoding logistic-regression matplotlib model-evaluation numpy pandas pyhton random-forest sckiit-learn seaborn smote standard-scaler xgboost

Last synced: 08 May 2026

https://github.com/omogbolahan94/movies-budget-revenue-analysis

Data exploration, data cleaning, data analysis and predictive analysis

dataframe linear-regression matplotlib numpy pandas seaborn statistical-analysis

Last synced: 08 May 2026

https://github.com/samaalharbi2/100-days-of-code

This repository is a collection of 100 Python projects built as part of the "100 Days of Code: Python Developer Challenge" course.

data-science game-development machine-learning numpy pandas python udemy

Last synced: 08 May 2026

https://github.com/ishaan28malik/masters-admission-analyser

Admissions of Indian students for foreign universities.

admission classification machine-learning matplotlib numpy python students

Last synced: 08 May 2026

https://github.com/daniel-brai/alx-t-x-udacity-data-analytics-nanodegree

A 3-month nanodegree going through the intricacies of data analysis with Python and its various libraries such Pandas, Numpy, matplotlib, seaborn and others

matplotlib numpy pandas python3

Last synced: 08 May 2026

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

ML models & data processing utilities written from scratch as practice.

data-science machine-learning numpy pandas

Last synced: 08 May 2026

https://github.com/chdl17/credit-eda-casestudy

Credit EDA is a GitHub repository designed to provide educational materials and tools for exploring credit risk data. The repository contains notebooks, datasets, and code samples to help users learn and apply these concepts to credit data.

exploratory-data-analysis numpy pandas

Last synced: 08 May 2026

https://github.com/mzayles/analise-descritiva.py

Curso Programação em Python para Data Science | Análise descritiva e mensuramento de dados de um report consolidado utilizando matplotlib.

matplotlib numpy pandas python

Last synced: 08 May 2026

https://github.com/satvikpraveen/numpymasterpro

A hands-on, production-ready toolkit to master NumPy — from first principles to real-world applications. Includes modular Jupyter notebooks, reusable utility scripts, cheatsheets, and advanced projects like K-Means clustering from scratch.

broadcasting data-analysis data-science data-source data-visualization jupyter-notebook kmeans-clustering linear-algebra machine-learning matrix-algebra numerical-computation numpy numpy-broadcasting numpy-examples numpy-tutorial open-source python scientific-computing standardization vectorization

Last synced: 08 May 2026

https://github.com/saurabh274/aerofit-statistics-and-probability

The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.

matplotlib-pyplot numpy pandas probability python seaborn statistics

Last synced: 08 May 2026

https://github.com/kkkaan/tensor-library-403-hw1

A numpy like library for tensor (gergen) operations.

deep-learning numpy python tensor

Last synced: 08 May 2026

https://github.com/nova-land/kalmanfilter-python

Kalman Filter in PyTorch and Numpy

kalman-filter numpy python pytorch

Last synced: 08 May 2026

https://github.com/icejan/predicton-systems

Various systems that train on data and generate a prediction

lightfm machine-learning numpy python scikit-learn

Last synced: 08 May 2026

https://github.com/amiralisajadi/image-classification-neural-network

Custom deep learning model for binary image classification. Entirely built from scratch in Python with NumPy, including all ML functions, activations, and optimizations.

deep-learning image-classification image-classification-model machine-learning neural-networks numpy

Last synced: 08 May 2026

https://github.com/ditikrushna/identify-customer-segments

In this project, Bertelsmann partners AZ Direct and Arvato Financial Solutions have provided two datasets one with demographic information about the people of Germany, and one with that same information for customers of a mail-order sales company. I have looked at relationships between demographics features, organized the population into clusters, and saw how prevalent customers are in each of the segments obtained.

clustering clustering-algorithm numpy pca

Last synced: 08 May 2026

https://github.com/shaulamarquez/data-job-market

This is a Data Job Market analysis

analysis matplotlib numpy python seaborn

Last synced: 09 May 2026

https://github.com/diegodscamara/whisperlive

🎙️ WhisperLive: Real-time audio transcription powered by OpenAI's Whisper model. Convert live speech to text with high accuracy, supporting multiple languages and real-time processing. Perfect for accessibility, content creation, and live captioning.

ai blackhole numpy python wave whisper

Last synced: 09 May 2026

https://github.com/shingiraibhengesa/house-price-predictor

A machine learning project that predicts house prices based on user input features such as square footage, number of bedrooms, and more.

machine-learning-models matplotlib numpy python scikit-learn seaborn

Last synced: 09 May 2026

https://github.com/aliakbar-omidi/ten-most-populous-cities-of-iran

This project is to show the densely populated cities of Iran on the map

basemap matplotlib numpy pandas python

Last synced: 09 May 2026

https://github.com/alejandrolara11/data-preprocessing

Data preprocessing through the use of the libraries NumPy and pandas.

data-analysis data-cleaning data-preprocessing numpy pandas python

Last synced: 09 May 2026

https://github.com/raghavendranhp/predictive-analytics-in-automotive-manufacturing-testing-time-optimization

Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.

elasticnet extratreesregressor fastica model-pipeline numpy pandas pca randomforestregressor svr-regression-prediction xgboost

Last synced: 09 May 2026

https://github.com/aymen016/leetcode-problems

This repo is designed to enhance your problem-solving skills through daily coding challenges, complete with clear explanations and well-structured solutions. 🎯

coding decision-making leetcode-python leetcode-solutions numpy problem-solving python

Last synced: 09 May 2026

https://github.com/jsnevt/series_temporais

Previsão de eventos que ocorrem sazonalmente

datetime matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/sameerjain/ai-snake-game

Implemented a Q-learning agent to play and learn the classic Snake game, leveraging PyTorch for Neural Network. Visualized using Matplotlib, showcasing agent's evolving performance over time. Built UI using Pygame to visualize Snake, including food, and current score.

anaconda conda matplotlib neural-network numpy pygame python3 pytorch q-learning

Last synced: 09 May 2026

https://github.com/normyee/chatbot-pytorch_nlp

ChatBot utilizing neural networks, NLP techniques, and the Bag of Words model. Implements tokenization and stemming for efficient language processing.

bag-of-words chatbotai neural-network nlp-machine-learning nltk-python numpy python pytorch-nlp

Last synced: 09 May 2026

https://github.com/jupfu/beck-view-digitalize

Digitalize 16mm films with Python & reactivex & FT232H

cython ft232h libpng multiprocessing numpy opencv python3 reactivex um232h

Last synced: 09 May 2026

https://github.com/omogbolahan94/lego-analysis

Analysis of LEGO data from 1949 to 2021.

matplotlib merge numpy pandas

Last synced: 09 May 2026

https://github.com/kemalcalak/developing-driverless-vehicles

This project includes the software required for an autonomous vehicle

numpy object-detection opencv segmentation yolo

Last synced: 09 May 2026

https://github.com/mahmood-anaam/deterministic-dynamic-programming

This repository explores deterministic dynamic programming solutions for the Shortest Path Problem (SPP) and the Traveling Salesperson Problem (TSP). It includes graphical representations, a detailed Jupyter notebook, and practical implementations for optimizing travel routes and minimizing costs in various city-based scenarios.

dynamic-programming graph-theory jupyter-notebook numpy python shortest-path-problem traveling-salesperson-problem

Last synced: 09 May 2026

https://github.com/franciscomartinez45/social-network-analysis

Applied to analyze how misinformation propagates within communities. With the goal of addressing health disparities and improving health literacy particularly in minority populations, the project explores both supervised and unsupervised learning approaches to understand patterns in graph-structured data using a custom Graph Attention Network

matplotlib ml networkx numpy pytorch

Last synced: 09 May 2026

https://github.com/dhruvv1402/x-twitter-bot-python

A Python-powered Twitter bot for content generation, analytics, and automation using Twitter API v2.

huggingface-transformers matplotlib nltk numpy pandas pillow python requests schedule textblob threading tweepy twitter-api wordcloud

Last synced: 09 May 2026

https://github.com/rishieeee/spam-email-classifier

A simple machine learning project that classifies emails as spam or ham using TF-IDF and a Multinomial Naive Bayes model. The project covers data cleaning, text preprocessing, feature extraction, model training, and evaluation. A great beginner-friendly introduction to NLP and ML workflows.

multinomial-naive-bayes numpy pandas python sckit-learn tf-idf

Last synced: 09 May 2026

https://github.com/aliyahscoding/tiny-recommender

Tiny item-item recommender in Python using cosine similarity over a toy user–item matrix. Simple CLI to print top-N recommendations.

collaborative-filtering cosine-similarity numpy pandas python recommender-system

Last synced: 09 May 2026

https://github.com/mattkevan/data-science

Notes from learning various data science topics.

data-science matplotlib numpy python3

Last synced: 09 May 2026

https://github.com/tonoy30/emotion-mask

A pytorch model for add face mask based on detected emotion.

emotion-detection numpy opencv-python python pytorch

Last synced: 09 May 2026

https://github.com/omogbolahan94/nobel-prize-winner-analysis

Data exploration, cleaning, visualization and presentation

markdown matplotlib numpy pandas plotly seaborn

Last synced: 09 May 2026

https://github.com/starlitdreams/lunar-landing

This project implements a DQN agent using PyTorch to solve the LunarLander-v2 environment from OpenAI Gym. The agent learns to control the lunar lander using experience replay and a target network, aiming to maximize rewards by landing smoothly. Uses CUDA for computation.

artificial-intelligence cuda deep-learning gymnasium neural-network neural-networks numpy nvidia-gpu python python3 torch

Last synced: 09 May 2026

https://github.com/flexthink/matricize

A convenience library to convert between pure Python objects and their vectorized representations

data machine-learning numpy python

Last synced: 09 May 2026

https://github.com/ishaj72/analysis_model2

Dataset analysis model using matplotlib and other libraries

machine-learning matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/moonshallow5/food_vision_mini

A program which can detect if an image contains either a pizza, sushi or steak: Has now been deployed on Flutter :)

huggingface matplotlib numpy pytorch

Last synced: 09 May 2026

https://github.com/kingsley-ezenwaka/mean-var-std

This is a (mini) Python project, completed as part of the requirements for the Data Analysis with Python certification from freeCodeCamp.com.

numpy python

Last synced: 09 May 2026

https://github.com/amr-yasser226/pagerank-power-method

Modular Python implementation of the PageRank algorithm via the power method, with discrete‑math foundations, end‑to‑end code, and experimental validation.

discrete-mathematics graph-algorithms markov-chain network-analysis networks numpy pagerank power-method python scipy

Last synced: 09 May 2026

https://github.com/venkat-0706/titanic-survival-prediction

A machine learning project predicting Titanic passenger survival using data preprocessing, feature engineering, and model optimization with Logistic Regression, Random Forest, and XGBoost.

classification-report confusion-matrix gridsearchcv matplotlib numpy onehot-encoder pandas sckit-learn seaborn train-test-split xgboost

Last synced: 09 May 2026

https://github.com/brian-hepler-phd/kak-decomposition-qml

Cartan decomposition (SU(4)) via Lie theory and QML – exact + variational approaches for two-qubit gates.

lie-theory machine-learning numpy pennylane qml quantum-computing quantum-gate-decomposition scipy su4

Last synced: 09 May 2026

https://github.com/shaikats/python-assignment

Simulation and Modeling Lab assignments using Python, NumPy, Matplotlib, and Jupyter Notebook.

jupyter-notebook matplotlib numpy python simulation-modeling

Last synced: 09 May 2026

https://github.com/nahiyanhkhan/data-processing-and-visualization

Loan Data Processing using Python's numpy and pandas libraries. For data visualization, matplotlib and seaborn are used.

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

Last synced: 09 May 2026

https://github.com/sivasurya681/financial-expense-tracker

The Financial Expense Tracker is a Python-based app built with Flet, Pandas, NumPy, and Matplotlib.pyplot for seamless expense management. It enables real-time tracking, categorization, and data visualization through bar and pie charts. Users can generate summaries, export/import data, and make informed financial decisions easily.

calculator-application differntial expense-tracker flet matplotlib-pyplot numpy pandas python salary-calculator total

Last synced: 09 May 2026

https://github.com/khaymanii/credit-card-fraud-detection-model

This model was built using python and Logistic Regression Machine Learning algorithm

matplotlib numpy pandas python sckit-learn

Last synced: 09 May 2026

https://github.com/mairagalvao/final_grades

An analysis of the final grades of students using Python

matplotlib numpy pandas python3

Last synced: 09 May 2026

https://github.com/aroojzahra908/machine-learning

This repository contains helpful guides and materials for easily understanding Pandas, NumPy, and Matplotlib libraries, which are essential tools for creating visual representations of data.

algorithms machine-learning-algorithms matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/priyanshul28/exercise_pandas

A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib.

data-cleaning data-visualization matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/chuvalniy/tulia

Contains self-implemented Machine Learning algorithms using only numpy.

boosting from-scratch knn learning logistic-regression machine ml numpy python random-forest regression sklearn testing xgboost

Last synced: 09 May 2026

https://github.com/abdullah2020/hamoye_stageb

This is my Hamoye Stage B project. The project focuses on Predicting Energy Efficiency of Buildings. It implemented different Machine Learning algorithm technique that are not limited to Linear Regression, LASSO, Ridge etc.

eda lasso-regression linear-regression numpy pandas predictive-modeling regression-models ridge-regression rmse rsquare-values

Last synced: 09 May 2026

https://github.com/michaelzheng67/real_estate_ml

AI experiment developed to run against simulated real estate and investing environment

ai numpy python pytorch

Last synced: 09 May 2026

https://github.com/sanjurajveer/market_basket_analysis

Finding pattern of bought objects through market basket analysis

apriori-algorithm association-rules numpy pandas python seaborn

Last synced: 09 May 2026

https://github.com/carol-neto/sprint-4-statistical-data-analysis

In this project I had the opportunity to test my knowledge by analyzing a phone plan and creating graphs to compare the plans and determine which ones generate the most revenue.

matplotlib-pyplot numpy pandas pytho scipy-stats seaborn statistical-analysis

Last synced: 09 May 2026

https://github.com/liannekiarra/university-dissertation

Combining Machine Learning Techniques with Multi-Objective evolutionary Algorithms to Solve Real World Engineering Problems

artificial-intelligence engineering hypervolume matplot multi-objective-optimization neuralnetwork nsga-ii numpy pareto-front pareto-optimality pymoo python3 sklearn

Last synced: 09 May 2026