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/oleksiilatypov/titanic_ml

Titanic Survival Prediction using ML and Flask Deployment.

data-science docker flask machine-learning numpy pandas skit-learn

Last synced: 13 Apr 2026

https://github.com/ksprugevics/magic-square

Some simple algorithm implementations for solving (ordinary) magic squares using NumPy

algorithms mathematics numpy python

Last synced: 21 Apr 2026

https://github.com/danhenriquex/data_science_and_machine_learning

A.I, Data Science & Machine Learning and Deep Learning with Tensorflow

deep-learning deep-neural-networks machine-learning matplotlib numpy pandas tensorflow

Last synced: 13 Apr 2026

https://github.com/ivancaez/analisis_dades_microbit

Data analysis of Micro:bit with maplotlib, numpy and pandas

csv jupyter-notebook matplotlib microbit numpy pandas python

Last synced: 13 Apr 2026

https://github.com/debjyotisaha/deep-learning-projects-phase-1

Deep Learning Projects which demonstrate the use of Python and its complex ML algorithms

deep-learning machine-learning neural-network numpy opencv pandas python seaborn streamlit

Last synced: 13 Apr 2026

https://github.com/chandkund/predicting-diabetes-onset

The "Predicting Diabetes Onset" project aims to build a machine learning model that predicts whether an individual has diabetes based on various health-related features. The dataset used for this project includes attributes related to medical history and physical measurements.

deep-learning numpy pandas python seaborn sklearn-library sklearn-metrics visualization

Last synced: 13 Apr 2026

https://github.com/armahdavi/data_analytics_statistics_plotting_pm_airborne_sampling

All codes for the data pipelines processing, statistical modellings, descriptive statistics and plot visualizations from airborne phase of Mahdavi et al. (2021) (Environmental Pollution) Project Miestone: 2018 - 2021

data-science data-visualization machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats statistics

Last synced: 13 Apr 2026

https://github.com/hilarionengarejr/movie-recommender-app

Sentiment analysis on user reviews for movie recommendations using Content Based Filtering.

docker flask nltk numpy pandas python3 scikit-learn selenium

Last synced: 10 Apr 2026

https://github.com/anarya22/accenture-north-america-data-analytics-and-visualization-job-simulation-on-forage

Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture. Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions. Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.

analyzing-visualization data-cleaning data-visualization numpy pandas powerbi powerpoint-presentations

Last synced: 09 May 2026

https://github.com/pratyush905/farecast-nyc-taxifare-predictor

Machine learning models to predict nyc taxi fare based on given dataset

jupiter-notebook kaggle machine-learning matplotlib numpy python regression-models scikit-learn

Last synced: 13 Apr 2026

https://github.com/athari22/investigating-netflix-movies-and-guest-stars-in-the-office

Apply basic Python skills in Introduction to Python and Intermediate Python by processing and visualizing film and television data.

data-analysis data-science data-visualization loop loops matplotlib matplotlib-pyplot netflix numpy office pandas python

Last synced: 11 Apr 2026

https://github.com/sanjaiveeran44/shopping-intent-analasys

This project predicts whether a visitor to an e-commerce website will make a purchase based on their browsing behavior. It includes data analysis, preprocessing, and machine learning modeling to understand online shopping patterns.

matplotlib matplotlib-pyplot numpy pandas python3 sklearn tensorflow

Last synced: 13 Apr 2026

https://github.com/eesunmoon/aml_project

[Project] Analyzing Fitness Patterns & Building Predictive Models

matplotlib numpy pandas python3 recommender-system scikit-learn seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/dmarks84/coursework_project_text-mining-topic-modeling

Project for University of Michigan Applied Data Science Specialization -- Developed functions to score similarity between text passages.

data-modeling data-reporting data-visualization databases eda nlp numpy pandas python statistics text-mining

Last synced: 12 Apr 2026

https://github.com/pinedah/sleep-data-analysis-exercise

Análisis de un dataset médico sobre el sueño, explorando duración, calidad y factores relacionados. Incluye limpieza de datos, EDA y visualizaciones con Python (pandas, numpy, matplotlib, seaborn, scipy).

data-analysis data-science escom numpy pandas python school-project scipy

Last synced: 13 Apr 2026

https://github.com/caterinatasinato/python-projects

Projects I worked on as Trainee in Data Analytics at ProfessionAI

matplotlib numpy pandas python3

Last synced: 13 Apr 2026

https://github.com/evan-dg31/data-science

Exploratory Data Analysis (EDA), Predictive Modeling (Supervised and Unsupervised), Regression, Classification, Clustering

classification clustering data-analysis data-science data-visualization machine-learning matplotlib numpy pandas python regression-analysis seaborn

Last synced: 13 Apr 2026

https://github.com/tharushiimasha/python-practice

This repository contains Python programs and exercises from practice sessions. It covers Python basics, file handling, and libraries like NumPy and pandas for data manipulation.

api-integration csv-files file-handling json-files jupyter-notebook numpy oops-in-python pandas python web-scraping

Last synced: 13 Apr 2026

https://github.com/joiceo/python

Projetos e exercícios em Python

eda machine-learning numpy pandas python seaborn sklearn

Last synced: 13 Apr 2026

https://github.com/danaelshrbiny10/gold-prices

The Egypt Gold Prices project is a data analysis and visualization initiative that focuses on tracking and understanding the daily gold prices in Egyptian pounds per gram.

data-visualization docker docker-compose matplotlib mongodb numpy pandas powerbi python3 webscraping

Last synced: 13 Apr 2026

https://github.com/darshanpakhale250-gif/customer-churn-prediction-ml

A machine learning project to predict customer churn using regression and classification models including logistic regression, decision tree, and random forest. Performed EDA, visualizations, and model evaluation. The dataset is taken from Kaggle and implemented in Google Colab.

colab-notebook customer-churn-analysis data-science decision-trees kaggle logistic-regression machine ml numpy pandas python random-forest

Last synced: 13 Apr 2026

https://github.com/raghavendranhp/youtube_data_harvesting

The "YouTube Data Analyzer" is a versatile tool for businesses and content creators, enabling them to gather, analyze, and harness valuable insights from multiple YouTube channels. With streamlined data collection, storage in MongoDB, migration to SQL, and a user-friendly Streamlit interface, it empowers users to make data-driven decisions

apiintegration data datacollection eda googleapi googleapiclient matplotlib mongodb mysql mysqlconnector numpy oops pandas pymongo python pythonoops sql sqlalchemy streamlit youtube-api

Last synced: 13 Apr 2026

https://github.com/kizman-23/supervised_models

Classical prediction of future data using models trained by labeled data

numpy pandas scikit-learn supervised-machine-learning

Last synced: 13 Apr 2026

https://github.com/blairnangle/python3-numpy-ta-lib

Docker image with NumPy and TA-Lib installed. Built and uploaded to Docker Hub using GitHub Actions.

docker numpy python3 ta-lib

Last synced: 13 Apr 2026

https://github.com/venkat-0706/accenture-hackathon

Developing an e-commerce recommendation system involves utilizing technologies such as Python for programming, Pandas for data manipulation, SQL for database management, FastAPI for building APIs, PostgreSQL for data storage, and Docker for containerization.

alembic api docker fastapi machinelearningalgorithms matplotlib numpy postgresql pydantic python3 scipy seaborn sqlmodel

Last synced: 13 Apr 2026

https://github.com/debjyotisaha/data-analytics-projects-phase-1

A set of projects on Data Analysis using Python and its libraries

matplotlib numpy pandas python seaborn sklearn streamlit

Last synced: 13 Apr 2026

https://github.com/asier-ortiz/python-for-data-science-and-machine-learning-bootcamp

Python for Data Science and Machine Learning Bootcamp: NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, TensorFlow, and more

matplotlib numpy pandas plotty python scikit-learn seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/badranalyst/tips-dataset-analysis-dashboard-with-streamlit-and-plotly

Interactive Streamlit dashboard analyzing the Seaborn 'tips' dataset, which records information on restaurant bills, including total bill amounts, tips, customer demographics (e.g., gender, smoking status), and dining details (e.g., day, time). Visualized with Plotly for insights into tipping patterns.

data-analysis data-analytics data-visualization dataset eda exploratory-data-analysis matplotlib matplotlib-pyplot numpy pandas plotly python seaborn streamlit

Last synced: 13 Apr 2026

https://github.com/annygutierrez/bank-ann

Basic Artificial Neural Network

keras matplotlib numpy pandas sklearn

Last synced: 13 Apr 2026

https://github.com/anujdutt9/language-model-using-rnn

Text Generation using basic RNN from scratch using Python and Numpy.

language-model numpy python rnn text-generation

Last synced: 08 May 2026

https://github.com/fearless-spider/spideroptic-cli

Spider Optic CLI is a command line application.

cement cli cli-app command-line makefile numpy oanda pypi python

Last synced: 01 May 2026

https://github.com/archishmansengupta/dnn

Digit Neural Network is a digit recognition network based on MNIST data set using numpy, pandas and matplotlib

matplotlib mnist neural-network numpy pandas python

Last synced: 13 Apr 2026

https://github.com/somyaaaaaa2004/travelling-sales-man-problem

This project is a soft computing-based solution to the Traveling Salesman Problem (TSP) using a Genetic Algorithm (GA), implemented entirely from scratch in Python on Google Colab. The goal of the TSP is to find the shortest possible route that visits each city exactly once and returns to the starting point. It's a classic NP-hard combinatorial

genetic-algorithm jupyter-notebook matplotlib-pyplot numpy pandas python travelling-salesman-problem

Last synced: 06 May 2026

https://github.com/harmanveer-2546/eda-on-indian-railways

Indian Railways is a statutory body under the ownership of the Ministry of Railways of the Government of India that operates India's national railway system. As of 2023, it manages the fourth largest national railway system by size with a track length of 132,310 km, running track length of 106,493 km and route length of 68,584 km.

clean-data eda exploratory-data-analysis geometry geopandas indian-railways json linestring matplotlib numpy os pandas plotly python railway seaborn shapely train visualization

Last synced: 09 Apr 2026

https://github.com/harmanveer-2546/tweets-cleaning-with-python

Twitter is one of the most used data sources for data analysis. The reason is that it’s open and free to collect unless you subscribe to the paid version one. Besides, it’s pretty simple to collect data from it.

filtering function-calling nlptk numpy os pandas punctuation python re removing-links tokenization tweet-cleaning twitter-data-analysis twitter-sentiment-analysis

Last synced: 10 Apr 2026

https://github.com/harmanveer-2546/prediction-of-ticket-cancellation

The objective is to develop a model that accurately predicts whether users will cancel their tickets. Each cancellation incurs a fine for the ticket registration site from the passenger company.

datetime evaluation gridsearchcv labelencoder numpy pandas standardscaler stratified-k-fold train-test-split xgboost-model

Last synced: 04 May 2026

https://github.com/hootbu/cyberpunk-filter-desing

This project aims to design filters with a cyberpunk aesthetic by performing low-level image manipulation in Python.

computer-vision image-manipulation matplotlib numpy python

Last synced: 08 May 2026

https://github.com/lingumd/school_district_analysis

Updated test score data and school district analysis using Python.

averages binning jupyterlab numpy pandas pandas-loc python

Last synced: 13 Apr 2026

https://github.com/csengupta1101/rock-paper-scissor-game

Rock Paper Scissor game built with Python 3. Jupyter notebook used as IDE. Code File , Read Me attached herewith.

game if-else-statements numpy python python3 random

Last synced: 11 May 2026

https://github.com/anjasfedo/data-analysis

Repo to Explore Data Analysis

data-analysis numpy

Last synced: 13 Apr 2026

https://github.com/charanpool/image-patch-mapping

A Python toolkit for image processing — edge detection, template matching, and patch detection using OpenCV

canny-edge-detector computer-vision edge-detection image-processing numpy opencv python sobel-filter template-matching

Last synced: 18 Jan 2026

https://github.com/vedanty3/supermarket-sales-data-analysis

This project contains data visualization techniques (using pandas and matplotlib) to explore different aspects of supermarket sales data of 3 months.

data-analysis data-science jupyter-notebook matplotlib numpy pandas python

Last synced: 08 May 2026

https://github.com/abideen-olawuwo/nyc-taxi

Prediction the duration of New York Taxi trip

linear-regression matplotlib numpy pandas python seaborn sklearn

Last synced: 11 Apr 2026

https://github.com/nikhilsree5/netflixcasestudy

Global Content Strategy: Leveraging Data Insights to Optimize Netflix's International Growth

eda numpy pandas python visualization

Last synced: 13 Apr 2026

https://github.com/prowilliam/maze_generator

A maze generator is created where you can modify its dimensions and shows a red route where it describes the solution of the maze, and it is exported in png format

numpy pillow python

Last synced: 28 Apr 2026

https://github.com/harmanveer-2546/predicting-schizophrenia-disorder

The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase

boxplot decisiontreeregressor disorder linearregression matplotlib mean-squared-error numpy pairplot pandas prediction randomforestregressor schizophrenia seaborn train-test-split visualization

Last synced: 13 Apr 2026

https://github.com/alex1iv/asr_ru_numbers

Automatic Speech Recognition (ASR) system for Russian digits

audio-processing librosa numpy speech-recognition tensorflow

Last synced: 13 Apr 2026

https://github.com/akansharajput280799/covid19-impact-analysis-usa

Data Analysis and Predictive Modeling to study COVID-19 impact across age groups, regions, and seasons in the USA.

classification-algorithm clustering-algorithm data-preprocessing data-visualization descriptive-statistics exploratory-data-analysis matplotlib numpy pandas seaborn

Last synced: 13 Apr 2026

https://github.com/alepm1990/nba-analytics

Análisis y trabajos en Python con BBDD deportivas

matplotlib-pyplot numpy pandas pyhon python3 seaborn

Last synced: 05 May 2026

https://github.com/shlok-nahar/mnist-cnn-classifier

This repository trains and evaluates three CNN models on MNIST, providing performance comparisons and 5 unique visualizations.

confusion-matrix graph heatmap-visualization json machine matplotlib mnist numpy precision-recall python receiver-operating-characteristic seaborn sklearn tensorflow

Last synced: 13 Apr 2026

https://github.com/zvdy/movie_recommendation

Movie Recommendation Search Engine using Jupyter Notebooks, Pandas, Nnmpy, SciKit Learn, IPyWidgets

data-science jupyter-notebook machine-learning numpy pandas python scikit-learn

Last synced: 13 Apr 2026

https://github.com/paulo-santos-ds/machinelearninglogisticregression

A fraude de cartão de crédito é uma forma comum de fraude que afeta milhões de pessoas em todo o mundo. Essa fraude pode ter consequências graves, tanto para as vítimas quanto para as instituições financeiras que emitem os cartões de crédito.

math matplot numpy pandas python3 sklearn

Last synced: 13 Apr 2026

https://github.com/nur-alam39/course-lab-experiments

The lab works: Code of academic courses-Digital Image Processing, Microprocessor, OOP, Numerical Analysis

cpp lab lex matplotlib numpy oop opencv python

Last synced: 13 Apr 2026

https://github.com/yuu-eguci/cognitive-services-trial

Try to play with Cognitive Services!! [Cognitive Services] [OpenCV] [Numpy]

cognitive-services dotenv numpy opencv-python pipenv python python3

Last synced: 05 Jul 2025

https://github.com/jessicahora/series_temporais

Análise de Series Temporais do Consumo de Energia da Alemanha.

numpy pandas python time-series-analysis

Last synced: 07 Apr 2026

https://github.com/naveen88112/clustering_customer_invoice_data

Customer Invoice Data Clustering This project uses clustering methods on customer invoice data for segmentation analysis. It preprocesses data, normalizes features, and uses K-Means and DBSCAN to cluster customers according to spending habits and shared locations.

clustering data-preprocessing data-visualization numpy pandas python silhouette-score standardization

Last synced: 13 Apr 2026

https://github.com/ondiekelijah/shadowcoach-formtracker

A computer vision-based workout form tracking application that uses AI to monitor exercise form, count repetitions, and provide real-time feedback.

mediapipe-pose numpy opencv-python

Last synced: 09 Apr 2025

https://github.com/mayankmittal29/algovision-statistical_methods_in_ai

Implementation of various machine learning algorithms from scratch, including Linear Regression, K-Nearest Neighbors, Decision Trees, and K-Means clustering. Also done EDA on data, Implemented LSH, IVF, SLIC algorithms also with evaluation metrics

decision-tree-classifier eda gradient-descent image-segmentation ivf knn-classification linear-regression lsh-implementation matplotlib-pyplot numpy pandas python3 seaborn sgd-optimizer sklearn slic-superpixel-algorithm

Last synced: 11 Apr 2026

https://github.com/saifalibaig/covid-19-infection-rate-analysis-using-python

Analysis of Covid-19 Infection rate and the world happiness report to identify if there is any relationship between infection rate and happiness

data-analysis data-visualization jupyter-notebook numpy pandas python3 sns

Last synced: 18 Apr 2026

https://github.com/bhanuprakashnani/scit-tasks

Tasks for the SCIT Work Shop.

numpy python3

Last synced: 25 Apr 2026

https://github.com/hari7261/playwithdata-python

This is one of the repository where I have put lot of data science and machine learning related questions on their solutions I hope you will find something better than some other platforms. Thank you Happy exploring

data-analysis data-science data-science-learning machienlearning matplotlib matplotlib-python ml numpy numpy-arrays numpy-library pandas pandas-dataframe pandas-library python python-script sklearn

Last synced: 13 Apr 2026

https://github.com/vishal815/python-based-flight-data-scraping-automating-data-collection-for-analysis

This project is a Python-based web scraping script designed to extract flight details from the Yatra travel website. The extracted data includes flight pricing, origin, destination, departure and arrival times, and duration. The data is then saved into a CSV file for further analysis.

beautifulsoup flight-data-analysis flight-data-visualization numpy pandas pyhton pyplot scraping scraping-python seaborn selenium vishal-lazrus vishallazrus webscraping webscraping-projects

Last synced: 18 Apr 2026

https://github.com/max134/deepplate

A custom-trained YOLOv11-based license plate detection with PaddleOCR for accurate ANPR.

computer-vision cv2 deep-learning image-recognition licesnse-plate-recognition numpy object-detection ocr paddleocr real-time-processing sqlite3 ultralytics yolov11

Last synced: 13 Jul 2025

https://github.com/kecnry/nparray

High-Level Wrappers for Building and Manipulating Numpy Arrays

numpy numpy-arrays python

Last synced: 08 Jan 2026

https://github.com/animesh-chourey/loan-classifier

Trained machine learning algorithms (Logistic Regression, KNN, SVM, Decision Tree) specifically, after performing visualization and pre-preocessing tasks on a loan dataset. Executed the evaluation metrics such as F1-score, Log loss and jaccard-similarity score to assess the algorithms performance.

decision-tree f1-score jaccard-similarity knn logistic-regression logloss matplotlib numpy pandas preprocessing-data svm

Last synced: 06 May 2026

https://github.com/itshyphen/mass-mailing-script

A simple mass mailing script that sends personalized email to multiple emails importing from csv

numpy pandas python smtplib

Last synced: 13 Apr 2026

https://github.com/tatmorenno/python_para_data_science

Python para Data Science Introdução à linguagem e Numpy 🌎💻

jupyter-notebook numpy python

Last synced: 13 Apr 2026

https://github.com/a-parida12/numericalmethods

Teaching Material for Workshop for Engineering Students

numpy ode pde python3

Last synced: 13 Apr 2026

https://github.com/subhas-pramanik-09/car-detection-and-counting

This project counts the number of cars passing through a designated line in a video file using OpenCV and background subtraction techniques.

machine-learning numpy object-detection opencv

Last synced: 13 Apr 2026

https://github.com/bhattbhavesh91/numpy-performance-test

Comparing the performance of Base Python Square root function with a numpy equivalent

list numpy python

Last synced: 20 Apr 2026

https://github.com/tnleite/loan-approval-prediction

Este repositório apresenta um modelo preditivo de aprovação de empréstimos, focado em minimizar o risco de inadimplência. Utilizando EDA e algoritmos de machine learning (Random Forest, XGBoost), ajustamos o threshold para maximizar o recall de inadimplentes, contribuindo para uma gestão de riscos eficiente.

classification-algorithm data-science exploratory-data-analysis machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn scipy seaborn xgboost-classifier

Last synced: 13 Apr 2026

https://github.com/amir0234-afk/housing-price-prediction-dnn

Keras + NumPy baselines for housing price regression

keras numpy regression

Last synced: 13 Apr 2026

https://github.com/v41bh4vr4jput/python---numpy

A collection of hands-on examples, exercises, and projects to master NumPy — the fundamental package for numerical computing in Python. This repository is perfect for beginners and advanced learners looking to explore array manipulation, mathematical operations, and high-performance data analysis.

numpy python3

Last synced: 20 Apr 2026

https://github.com/raeinlayeghpour/test-bench-for-signal-validation-simulated-3-phase-system

Automated Project - Test Bench for Signal Validation (Simulated 3-Phase System)

numpy pandas pycharm pytest python

Last synced: 13 Apr 2026

https://github.com/chandkund/wine-quality-prediction

This project predicts wine quality based on physicochemical properties using machine learning models. By leveraging Random Forest Classifier, Logistic Regression, and SVM, the goal is to classify wines into quality categories and uncover the key factors that influence wine quality.

logistic-regression matplotlib numpy pandas-python random-forest-classifier svm-classifier

Last synced: 01 May 2026

https://github.com/yipjunkai/pyvolr

Modern Black-Scholes-Merton pricing, Greeks, and implied volatility for Python. Rust core. Drop-in replacement for the abandoned py_vollib.

black-scholes black-scholes-merton greeks implied-volatility maturin numpy options options-pricing py-vollib pyo3 python quant quantitative-finance rust

Last synced: 30 May 2026

https://github.com/harmanveer-2546/credit-card-fraud-detection

The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.

ann catboost-classifier eda lightgbm machine-learning matplotlib neural-network numpy pandas python random-forest seaborn xbg

Last synced: 13 Apr 2026

https://github.com/chmohit91/introduction-to-python

A comprehensive collection of Python programming resources, from basics to advanced concepts. Built for learners, by learners

matplotlib numpy pandas plotly python python-library python3 seaborn

Last synced: 13 Apr 2026

https://github.com/shibbir24/a-data-driven-approach-to-food-security-and-supermarket-accessibility

A Data-Driven Approach to Food Security and Supermarket Accessibility

data-analysis matplotlib numpy pandas python3 seaborn

Last synced: 13 Apr 2026

https://github.com/tromesh/attendance-predictor

Student Attendance predictor for Scheduling lecture sessions

matplotlib numpy pandas tensorflow

Last synced: 05 May 2026

https://github.com/n1k1f0rm/ml-predicts

Place where you can find in transparent way how ML algos works

machine-learning ml numpy python

Last synced: 21 Apr 2026