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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/rajivaleaakash/customer-churn-prediction

A machine learning project focused on predicting customer churn using various data analysis and modeling techniques. The repository includes data preprocessing, feature engineering, exploratory data analysis (EDA), model training, evaluation, and visualization to help businesses identify customers at risk of leaving.

churn-prediction classification customer-churn data-analysis data-science gridsearchcv imblearn machine-learning numpy pandas pyhton randomsearchcv scikit-learn

Last synced: 28 Apr 2026

https://github.com/psycho-poodle/simple_rnn_imdb

This repository contains a simple web application for sentiment analysis of movie reviews using a pre-trained RNN model. The application is built with TensorFlow and Streamlit, making it easy to use and deploy.

numpy python streamlit tensorflow

Last synced: 11 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/anshpg/popularity-based-book-recommendation-system

I developed a popularity-based book recommendation system using Google Colab, leveraging libraries like pandas, numpy, and matplotlib. The dataset was obtained from Kaggle.com, consisting of three CSV files: books.csv, ratings.csv, and users.csv.

collab csv kaggle-dataset matplotlib-pyplot numpy pandas python

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/robinhosz/traffic-data-analyzer

This repository presents a project for urban traffic signal optimization using Reinforcement Learning (RL) to improve traffic flow, increase safety at intersections, and promote energy efficiency in cities. Using the "Traffic Volume Counts" dataset from Kaggle.

data-analysis-python kaggle-dataset numpy pandas python traffic-analysis

Last synced: 28 Apr 2026

https://github.com/shantanudhanawade/mini-projects

Price prediction with linear regression

matplotlib-python numpy pandas scikit-learn-python

Last synced: 07 May 2026

https://github.com/ganesh774218/eda-book-store

Exploratory data analysis on a book store dataset to uncover sales trends, popular genres, and top publishers.

data-visualization datacleaning datamanipulation eda matplotlib numpy pandas python pythonp pythonproject seaborn

Last synced: 07 May 2026

https://github.com/npodlozhniy/dl-tinkoff

This is a warehouse of my homeworks for master MIPT deep learning course from Tinkoff FinTech

deep-learning numpy pytorch

Last synced: 08 May 2026

https://github.com/morpheomax/uberpython

Viajes realizados en Uber con Python

numpy pandas python streamlit uber

Last synced: 28 Apr 2026

https://github.com/salvatoreamaddio/powerbi

This project combines both Python and PowerBI technologies. It cleans a dataset and imports it into a PowerBI file.

numpy pandas pandas-python powerbi python

Last synced: 07 May 2026

https://github.com/ddeepanshu-997/datascience--olympics-games

in this repository i am going to perform some datascience techinques on the datasaet in order to get the valuable insights with the help of python libraries , packages etc.

data-science exploratory-data-analysis insights matplotlib-pyplot numpy pandas-dataframe problem-solving python visualization

Last synced: 28 Apr 2026

https://github.com/kingsley-ezenwaka/medical-data-visualizer

A data analysis project that investigates a dataset of anonymous patients' medical information, and explores the relationship between cardiac disease, body measurements, blood markers, and lifestyle choices.

analysis data matplotlib numpy pandas seaborn

Last synced: 28 Apr 2026

https://github.com/mnitin-reddy/coffee-shop-sales-analytics

This project analyzes coffee shop sales data to uncover key insights, focusing on customer behavior, product performance, and sales trends. Using Pandas, Matplotlib, and Seaborn, the analysis identifies peak sales hours, popular product categories, and opportunities for upselling or bundling.

datasceince datavisualization exploratory-data-analysis matplotlib numpy pandas python seaborn

Last synced: 07 May 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/baschin1103/machine-learning-linear-regression-tsi

The model is the multiple linear regression loaded from scikit-learn. The aim is to create a model to forecast the so called Total-Skill-Index (TSI) of a player from hattrick.org. More information on: https://wiki.hattrick.org/wiki/Total_Skill_Index. In this repository is the programm and necessary data.

csv linear-regression machine-learning numpy pandas python statistics

Last synced: 11 May 2026

https://github.com/hackintoshrao/first-neural-network

Simple Neural Network with a hidden layer written from scratch using Numpy for prediction the bike sharing sales

deep-learning neural-networks numpy python

Last synced: 07 May 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

https://github.com/pocketfullofdata/electric-vehicles-market-size-analysis

This project analyzes the growth, adoption trends, and future projections of the electric vehicle (EV) market. Using data analysis and visualization techniques, it examines key factors like sales trends, and consumer adoption to understand the evolving landscape of the EV industry.

analysis data jupyter-notebook matplotlib numpy python seaborn vscode

Last synced: 07 May 2026

https://github.com/fimbres/numpy-start

A crash project with the most important numpy functions and methods, used in data science, AI and machine learning.

data-science numpy python python-script

Last synced: 29 Apr 2026

https://github.com/santiagoenriquega/game_of_life

This repository contains simulates Conway's Game of Life using Pygame for graphics and Numpy for array operations. The game simulates cellular automata where cells evolve based on simple rules.

conways-game-of-life numpy pygame python python3

Last synced: 29 Apr 2026

https://github.com/iv4n-ga6l/genderdetection

Gender detection using gender classification model

genderclassification genderdetection numpy pil python resnet18 torch torchvision

Last synced: 29 Apr 2026

https://github.com/thekartikeyamishra/interactive-ai-model-trainer

A Google Colab notebook for interactively training simple AI/ML classification models. Features CSV upload, dummy data generation, feature/target selection, model choice, and basic evaluation. Includes a user-friendly UI. Ideal for educational purposes. See screenshots below!

google googlecolab ipywidgets matpl numpy pandas python scikit-learn seaborn

Last synced: 29 Apr 2026

https://github.com/skypse/santander-coders-data_science-course

Curso de Data Science, proposto pelo Satander, utilizando Python!

jupyter-notebook numpy pandas-python python scikit-learn

Last synced: 29 Apr 2026

https://github.com/manishkumarpatel07/facial-recognition-attendance-manager

An AI-powered face recognition attendance system using Python, OpenCV, and dlib for real-time attendance tracking.

dlib-face-recognition numpy opencv pandas python

Last synced: 29 Apr 2026

https://github.com/maxencebonamy/ascii-webcam

You can see yourself in real time through characters in a terminal. This project is an enhancement of another project which consists in converting an image to ASCII format, which allows, in a way, to compress it.

ascii numpy opencv python webcam

Last synced: 07 May 2026

https://github.com/alphan26/breastcancerclassification

This project involves a binary classification problem where we applied PyTorch to detect breast cancer.

matplotlib numpy pandas python pytorch

Last synced: 11 Apr 2026

https://github.com/raduldev/ml-projects

End To End Machine Learning Project guided by Krish Naik from Ineuron.

catboost dill flask-application numpy pandas python scikit-learn xgboost

Last synced: 12 Apr 2026

https://github.com/shandilya1998/neurorobotics

Python tools for robotics, deep reinforcement learning and neuroscience research.

computational-neuroscience mujoco mujoco-py numpy openai-gym pytorch reinforcement-learning robotics

Last synced: 12 Apr 2026

https://github.com/humankernel/hands-on-ml

Practice of Machine Learning

machine-learning matplotlib numpy pandas sklearn

Last synced: 08 Jun 2026

https://github.com/jnayak1/naive_bayes_cars

Using Naive Bayes and SGD ML algorithms to predict if a new car will decrease in price

cars machine-learning naive-bayes numpy sklearn

Last synced: 07 May 2026

https://github.com/sultanazhari/prediction-model-of-customers-leaving

Bank Beta Company focus on retain existing customers, our task is to create a model that predicts whether or not a customer will leave the bank soon.

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

Last synced: 20 Apr 2026

https://github.com/mzayles/base_vendas_dataprep

💻📊✅ Curso de Programação em Python para Data Science | Preparando e tratando dados com Pandas e NumPy.

numpy pandas python

Last synced: 24 Mar 2025

https://github.com/tanmay-312/pacman-game-python

"Embark on a nostalgic journey with my Python Pac-Man game! 🎮🕹️ Crafted using pygame, tcod, numpy, and enum libraries, it's a modern twist on a classic. Navigate the maze, chomp pellets, and evade ghosts in this retro-inspired adventure! 🚀👻 #PythonGameDev #PacManRevival #ClassicGaming"

enum game game-development gamedev numpy pygame pygame-games python python-3 python3 tcod

Last synced: 22 Apr 2026

https://github.com/romerorodriguezd/homography-with-opencv

Homography operations applied to insert images inside others regardless of the perspective.

computer-vision homography matrices-transformation numpy opencv opencv-python

Last synced: 29 Apr 2026

https://github.com/chirindaopensource/high_dimensional_matrix_variate_diffusion_index_models

End-to-end Python implementation of Ma et al.'s (2025) matrix-variate diffusion index models for macroeconomic forecasting. Features α-PCA factor extraction, supervised screening, and ILS estimation for high-dimensional forecasting with preserved structural information.

diffusion-index dimension-reduction econometrics factor-models financial-modeling high-dimensional-statistics macroeconomic-forecasting matrix-factorization monte-carlo-simulation numpy principal-component-analysis python quantitative-finance research-replication scientific-computing statistical-computing statistical-modeling supervised-learning time-series-analysis time-series-forecasting

Last synced: 29 Apr 2026

https://github.com/thaivincent/fft_image_compression

A simple image compression program using FFT and numPy

fft image-processing numpy

Last synced: 29 Apr 2026

https://github.com/antonio-f/naive_convnet

Naive Convolutional Neural Network with TensorFlow 2

101 convolutional-neural-networks deep-learning easy matplotlib numpy simple tensorflow2 tutorial

Last synced: 29 Apr 2026

https://github.com/ovsidee/psm

Fundamentals of Mathematical Simulations using Python

numpy python

Last synced: 29 Apr 2026

https://github.com/solomonbaez/koios

Neural Network Framework, built from scratch in NumPy.

machine-learning neural-network neural-networks numpy

Last synced: 29 Apr 2026

https://github.com/r-mahesh45/reccomendation-system

This project involves building a recommender system using cosine similarity to measure the similarity between items or users. It leverages numerical data to provide personalized recommendations. The model focuses on extracting meaningful insights and improving decision-making processes.

numpy pandas-dataframe python3 scikitlearn-machine-learning

Last synced: 07 May 2026

https://github.com/nisch-mhrzn/book-recommender-system

A Flask-based application that suggests books tailored to user preferences, leveraging collaborative filtering and a curated dataset.

flask numpy pandas python

Last synced: 12 Apr 2026

https://github.com/matheusvazdata/retail-sales-forecast-linreg-sklearn

Minimal project for retail sales forecasting using linear regression (scikit-learn).

forecasting linear-regression machine-learning matplotlib numpy pandas scikit-learn

Last synced: 29 Apr 2026

https://github.com/chandkund/predicting-student-grades

This project predicts student grades (G1, G2, G3) based on various features such as demographic information, study habits, family background, and other academic factors. The aim is to develop a predictive model that can assist in identifying students who may need additional support.

classification-algorithm ensemble-learning exploratory-data-analysis machine-learning matplotlib numpy pandas regression-models seaborn

Last synced: 29 Apr 2026

https://github.com/armahdavi/ai_ml_assisted_breast_cancer_tumor_detection

Consolidating tutorial codes for breast cancer tumor detection, covering ML fundamentals like classification, feature engineering, training, evaluation, and key performance metrics.

bias-variance feature-engineering logistic-regression machine-learning machine-learning-algorithms medical-application numpy pandas python random-forest recall-precision sklearn xgboost-classifier

Last synced: 29 Apr 2026

https://github.com/divansh2025/python_notebook

Welcome to "Basics of Python", a repository designed to help you master the fundamentals of Python. 🚀

datavisualization matplotlib numpy pandas python seaborn

Last synced: 29 Apr 2026

https://github.com/reddyprasade/bird-classifications-problem

Birds Classification by using Scikit-learn and Scikit-image

matplotlib numpy pandas python-3 sckiit-learn sckit-image

Last synced: 08 May 2026

https://github.com/jack-thesparrow/tube-color-detect

A Python program that detects the colors stored in tubes and returns a JSON file.

matplotlib-pyplot numpy opencv python3 sklearn

Last synced: 29 Apr 2026

https://github.com/mukeshthenraj/fraud-detection-model

Logistic Regression, Grid Search, and ROC-PR curve evaluation on fraud detection dataset

classification fraud-detection machine-learning numpy pandas scikit-learn

Last synced: 29 Apr 2026

https://github.com/adalbertobrant/fundamentalista

Analise de Graham e de Greenblatt para escolha de ações baratas e com bom potencial de crescimento ao longo prazo

graham greenblatt matplotlib numpy pandas python3 streamlit

Last synced: 29 Apr 2026

https://github.com/abhishek010397/tigerprediction-machinelearning

Machine Learning Prediction Model Using Multiple Regression to predict Tiger Population in India

keras-tensorflow matplotlib-pyplot multiple-linear-regression numpy pandas python3 r2 sklearn

Last synced: 29 Apr 2026

https://github.com/allenvox/statistics

Workspace for applied problems of probability theory & mathematical statistics & modelling class

acf autocorrelation distribution k-means k-means-clustering maths matplotlib numpy probability-theory python sklearn statistics

Last synced: 17 Apr 2026

https://github.com/pvlbzn/datascience

Learning data science 🤓

data-science numpy pandas

Last synced: 09 May 2026

https://github.com/rebeccamorolong/mtn-customer-churn-prdiction

This project addresses a real-world business problem: predicting customer churn for MTN, a major telecommunications company. Customer churn significantly impacts profitability, and accurate predictions enable targeted retention efforts.

anova-test matplotlib-pyplot numpy pandas python seaborn

Last synced: 29 Apr 2026

https://github.com/alfastrek/textinsight-pro

Webscraper with Natural Language Processing

beautifulsoup jupyter-notebook nltk numpy pandas python webscraping

Last synced: 29 Apr 2026

https://github.com/atchayaah/vois_aicte_oct2025_atchayaa

Comprehensive data science analysis leveraging NYC Airbnb market data to derive actionable insights on optimal pricing models, key performance indicators (KPIs), and factors influencing host trust and guest experience optimization.

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 29 Apr 2026

https://github.com/laipching/sprint6_module1

Exploratory Data Analysis with Python (Pandas/Matplotlib/Seaborn). Business questions, metrics and clear visualizations.

data-visualization eda matplotlib numpy pandas python seaborn

Last synced: 29 Apr 2026

https://github.com/ahshah322/world-happiness-report-2025

Data analysis and visualization of the World Happiness Report 2025 using Python (pandas, seaborn, matplotlib). Explores how GDP, health, freedom, generosity, and corruption perception influence global happiness.

data-analysis data-science matplotlib numpy pandas python seaborn worldhappiness

Last synced: 29 Apr 2026

https://github.com/x-nimesh/panoramer-dockerized

Panoramer is a cutting-edge panoramic image stitching web application designed to transform your images into stunning, professional-quality panoramas. Whether you're a seasoned photographer or a hobbyist, Panoramer's intuitive interface and precise alignment tools make it easy for users of all skill levels to create seamless panoramas.

flask image-processing numpy python react

Last synced: 29 Apr 2026

https://github.com/harmanveer-2546/bird-species-prediction-using-deep-learning

Using convolutional neural networks to build and train a bird species classifier on bird pics data with corresponding species labels, also build GUI for the same.

3d-graph callback deep-learning eda gui gui-application image-generator imageclassification keras-tensorflow matplotlib maxpooling mobilenetv2 numpy opencv pillow plotly python seaborn transfer-learning visualization

Last synced: 29 Apr 2026

https://github.com/muhammadusman-khan/e-commerce-store-eda

Exploratory Data Analysis on E-commerce store data to uncover insights about sales trends, customer behavior, and product performance using Python libraries like Pandas, NumPy, and Matplotlib/Seaborn.

data-analysis data-science data-visualization e-commerce eda exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 29 Apr 2026

https://github.com/fantaso/data-analysis-and-manipulation-with-pandas

Project consists to analyse a publicly available movie dataset found in https://www.kaggle.com/beyjin/movies-1990-to-2017 and use Python tools like Pandas in order to get some initial insights about the dataset and finally proceeding to clean, transform and save a new version of the dataset in a better structure thinking about storing the data in a database.

matplotlib numpy pandas python3 seaborn

Last synced: 29 Apr 2026

https://github.com/gvatsal60/ds-on-kaggle

A collection of data science projects, experiments, and insights from Kaggle competitions and datasets

data data-science data-visualization numpy pandas python3

Last synced: 29 Apr 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/shwetapardhi/assignment-04-simple-linear-regression-1

Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regressi

correlation-analysis data-visualization distplot eda feature-engineering model-building model-prediction model-testing numpy ols-regression p-value pandas python regression-plot rsquare-values seaborn simple-linear-regression smf statsmodel t-score

Last synced: 30 Apr 2026

https://github.com/hansalemaos/create_empty_image

Creates new/empty cv2 images/numpy arrays

cv2 numpy python

Last synced: 30 Apr 2026

https://github.com/ola-kaznowska/sigmanoid-function

Sigmanoid function. Written in Python 3.13.1 with matplotlib library and numpy

mathmatics matplotlib numpy python python3

Last synced: 30 Apr 2026

https://github.com/priyansusahoo/face_recognition

Major Project: Attendance system project using Face Recognition

face-recognition numpy opencv-python python3

Last synced: 30 Apr 2026

https://github.com/victor-gp/tfg-h16b

The code for my bachelor's thesis, a numerical exploration of the second part of Hilbert's 16th problem

bachelor-thesis dynamical-systems matplotlib-pyplot numpy odeint

Last synced: 30 Apr 2026

https://github.com/samiksha29-patil/hr-employee-data-analysis-visualization-in-python

This project focuses on analyzing an HR Employee Dataset that contains details about employees such as demographics, job status, salaries, performance reviews, satisfaction levels, and attrition reasons.

csv-files data data-visualization dataanalysis matplotlib numpy pandas python seaborn

Last synced: 30 Apr 2026

https://github.com/sjain2580/simple-linear-regression-model

This project demonstrates a simple, yet robust, multiple linear regression model built with Python and scikit-learn to predict median house values in California.

joblib linear-regression matplotlib matplotlib-pyplot numpy python scikit-learn

Last synced: 30 Apr 2026

https://github.com/omarsaad21/it-salary-eda

A python EDA project implemented on IT department salaries data we made data exploration and made data visulization for some questions on dataset

data explotary-data-analysis juypter-notebook numpy pandas python visualization

Last synced: 30 Apr 2026

https://github.com/nikhilsree5/walmartcasestudy

Analysis of Customer Spending Habits at Walmart Inc

clt eda numpy pandas python3 statistics visualization

Last synced: 30 Apr 2026

https://github.com/vishal-verma-96/honey_production_analysis_using_python

In this project, I analyzed U.S. honey production from 1998 to 2021 across different U.S. cities, explored yields, and examined production values using Matplotlib and Seaborn visualizations.

matplotlib numpy pandas python-3 python-visualization seaborn

Last synced: 30 Apr 2026

https://github.com/maguids/supervised-learning---video-games

This project consists on exploratory data analysis and the application of supervised learning models for classification using a Video Games dataset. Second Semester of the First Year of the Bachelor's Degree in Artificial Intelligence and Data Science.

jupyter-notebook machine-learning matplotlib numpy pandas scikit-learn seaborn supervised-learning

Last synced: 30 Apr 2026

https://github.com/tapishr/numpy-rnn

Implementation of an RNN using numpy library in python

numpy python recursive-neural-network rnn

Last synced: 30 Apr 2026

https://github.com/tinaland101/credit-risk-classification

The purpose of this project is to build a credit risk classification model using machine learning techniques. This model helps identify the creditworthiness of borrowers based on historical lending data. Specifically, it uses a logistic regression model to predict whether a loan is healthy (0) or high-risk (1).

numpy pandas pathlib scikit-learn

Last synced: 30 Apr 2026

https://github.com/ebadshabbir/naive_bayes_classification-gaussain-

A Python project that applies Naive Bayes classification to predict user purchases based on age and salary using the Social Network Ads dataset. The project includes data preprocessing, model training, prediction, and visualization of decision boundaries for both training and test datasets.

classification gaussian jupyter-notebook machine-learning matplotlib-pyplot naive-bayes-classifier numpy pandas python

Last synced: 30 Apr 2026

https://github.com/scholarchen20/pythonlp

Python保姆级教学附有对应的demo项目（成绩管理系统），适合小白打基础。此外还包含Numpy,Tensorflow,Pytorch示例代码提供学习使用上手

image-classification image-processing numpy pands python pytorch system tensorflow

Last synced: 30 Apr 2026

NumPy Awesome Lists
awesome-jax 218 awesome-data-analysis 936 awesome-ebooks 106 awesome-jax 149 awesome-mojo-max-mlir 181 awesome-numpy 32 practice-data-science-programming-projects 90
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Blogs 404 Libraries 239 ⚡ Productivity 101 🧠 AI Applications & Platforms 96 🐍 Python 91 Exercises 87 Models and Projects 74 📚 Skill Development & Career 67 🗃️ SQL & Databases 53 Tutorials and Blog Posts 53 🤖 Machine Learning & AI 52 📦 Additional Python Libraries 51 📝 More Awesome Lists 50 ☁️ Cloud Platforms & Infrastructure 46 📋 Cheatsheets 44 📊 Data Visualization 38 📈 Dashboards & BI 35 Videos 34 🎲 Statistics & Probability 34 Web 33