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/elissorokin/data-analyst-portfolio

Это репозиторий, в котором я демонстрирую свои навыки, делюсь проектами и отслеживаю прогресс в области анализа данных и Data Science.

ab-testing data data-analysis datalense matplotlib numpy pandas plotly portfolio postgresql python scipy seaborn sql statistical-analysis

Last synced: 09 Apr 2026

https://github.com/tapas-gope/diwali-sales-analysis

Analyze Diwali Sales Data to improve customer experience and sales.

exploratory-data-analysis matplotlib-pyplot numpy pandas python seaborn

Last synced: 05 May 2026

https://github.com/sudarshanc00/mnist-digit-classification

This project uses a machine learning model to classify handwritten digits (0-9) from the MNIST dataset, a popular collection of grayscale images for image classification benchmarking. It includes a Jupyter Notebook to train a neural network, enabling accurate recognition and classification of digits.

jupyter-notebook matplotlib numpy python tensorflow

Last synced: 12 Apr 2026

https://github.com/trissim/polystore

Framework-agnostic multi-backend storage abstraction for ML and scientific computing

backend data io jax ml multi-framework numpy pytorch scientific-computing storage tensorflow zarr

Last synced: 12 Apr 2026

https://github.com/ahmedabdalkreem/skin-cancer

In this project we work to extraction features from Images using CNN and build the Neural Network to arrive the patient have skin-cancer Malignant or Benign.

cnn deep-learning matplotlib neural-network numpy pandas python3 sklearn-library

Last synced: 12 Apr 2026

https://github.com/jkosla/neural_network_from_scratch_numpy

Neural Network From Scratch in Python | Build a simple neural network from scratch using pure Python and NumPy. Learn about forward propagation, backpropagation, and training with gradient descent. Accompanies my Medium article.

ai aritificial-intelligence medium nerual-networks numpy python3 tutorial

Last synced: 10 Apr 2026

https://github.com/azaz9026/machine_learning_algorithms

Machine learning algorithms are computational models that allow computers to understand patterns and forecast or make judgments based on data without the need for explicit programming. These algorithms form the foundation of modern artificial intelligence and are used in a wide range of applications, including image and speech recognition.

machine-learning machine-learning-algorithms numpy pandas python3 seaborn sklearn-library

Last synced: 12 Apr 2026

https://github.com/liviuxyz-ctrl/financialportofoliosimulator

FinancialPortfolio is your financial planning ally, helping you manage portfolios, calculate future values, and visualize performance, all with user-friendly ease🚀

matplotlib numpy python simulation

Last synced: 12 Apr 2026

https://github.com/ishtufinquant/portfolio-optimizer

Optimizes stock portfolios using simulation and real-world constraints (SLSQP).

backtesting finance numpy pandas portfolio-optimization python quant scipy yfinance

Last synced: 12 Apr 2026

https://github.com/anshpg/linearluminary

Greetings! I've developed a straightforward linear regression model from scratch to predict house prices in Bangalore. But before delving into coding, let me walk you through the algorithm's conceptualization. I considered various factors such as location, ocean proximity, plot size, finished state, and flat type.

algo linea mathematics matplotlib numpy pandas pyth

Last synced: 13 May 2026

https://github.com/jeslipriya/expense-tracker

This is a smart expense tracking web app built with Flask that helps users manage and visualize their spending. It features Pandas and Numpy analysis to suggest ways to cut down on unnecessary expenses, with clean UI, graph visualizations, and secure login.

css flask-application full-stack html matplotlib numpy pandas

Last synced: 05 May 2026

https://github.com/ben854719/wasde-revenue-in-2024

The project will use AI to analyze the revenue from the dataset of the World Agricultural Supply and Demands Estimates.

gemini langchain large-language-models matplotlib numpy pandas-python

Last synced: 12 Apr 2026

https://github.com/nidomika/digit-recognition

Digit recognition project in Python

digit-recognition numpy opencv python tensorflow

Last synced: 12 Apr 2026

https://github.com/farhad-here/median-performance-comparison

Benchmarking the performance of median calculation using vanilla Python vs NumPy.

data-analysis matplotlib numpy python

Last synced: 18 Apr 2026

https://github.com/frolov-andrey2405/prime-numbers-and-polar-coordinate-system

Prime numbers and polar coordinate system

matplotlib numba numpy python

Last synced: 01 May 2026

https://github.com/dahsie/machine_learning_from_scratch

This project aims to implement some machine learning basic techniques(e.g. MinMaxScaler, StandardScaler, TD-IDF, PCA, Logistic Regression, LDA, KNN, Naive Bayes Classifier) using only pyton, numpy and pandas. This will enable me to have hone my data scientist skills

classification clustering data data-processing datascience machienlearning nlp nltk numpy pandas python regression

Last synced: 04 May 2026

https://github.com/devbigboy/php-crud-project

PHP-CRUD-Project

jupyter numpy pandas

Last synced: 20 Apr 2026

https://github.com/nilusche/feed_forward_network_py

Implementation of a neural network in python which can predict handwritten numbers from the MNIST dataset.

colab-notebook feed-forward-neural-networks neural-network numpy python

Last synced: 01 May 2026

https://github.com/jol79/python_exercises

Solving interesting python exercises on different topics

matplotlib-pyplot numpy pandas python3 pythonexercises scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/asuquoaa/cdc_2017_immunization_data_analysis

This project analyzes data from the CDC's 2017 National Immunization Survey Public Use File (NISPUF17) to answer research questions about immunization, child health, and vaccine-related behaviors.

numpy

Last synced: 12 Apr 2026

https://github.com/shivammg/coursera-ml-numpy

Coursera Machine Learning course done using Python, NumPy, and Seaborn

machine-learning numpy python seaborn

Last synced: 09 May 2026

https://github.com/manoj-kumar-c/data_analyst_projects

Live Data Analyst Projects.

excel numpy pandas powerbi

Last synced: 07 Feb 2026

https://github.com/chandkund/iris-classification

Iris Classification project using machine learning to classify iris flowers into Setosa, Versicolour, and Virginica species. Includes data exploration, model training with SVM, Logistic Regression, and Decision Tree, and performance evaluation. Contributions welcome! Python, Pandas, Scikit-learn, Seaborn, Matplotlib.

machine-learning matplotlib-pyplot numpy pandas python sklearn

Last synced: 21 Jan 2026

https://github.com/vijaykumarr1452/startup_success_predictor

This project demonstrates the use of Multiple Linear Regression to predict the profits of startups based on investment in R&D, Administration, and Marketing of dataset (50_Startups.csv)

machine-learning multi-linear-regression numpy pandas python regression rsquare-values scikit-learn

Last synced: 10 Apr 2026

https://github.com/ameykasbe/credit-card-fraud-detection-on-imbalanced-dataset

Examined data preprocessing techniques and performance of six different predictive models in Python to credit card fraud detection problem on an imbalanced dataset. Algorithms implemented - Logistic Regression, K Nearest Neighbours, Support Vector Classification, Naïve Bayes Classifier, Decision Tree Classifier, and Random Forest Classifier.

classification machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/amruta33/housing_price_prediction

Consider a real estate company that has a dataset containing the prices of properties in the Delhi region. It wishes to use the data to optimise the sale prices of the properties based on important factors such as area, bedrooms, parking, etc.

linear-regression numpy pandas python rfe vif

Last synced: 28 Apr 2026

https://github.com/daksh777/expressando

Expressando is a rock, paper, scissors game made using Python (TensorFlow, Keras and OpenCV)

keras keras-tensorflow machine-learning numpy opencv opencv-python tensorflow

Last synced: 13 Apr 2026

https://github.com/gustavo-venceslau/housing-price

A Machine Learning project to create a model to predict housing prices. The project is based on the example in chapter 2 of the book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélion Géron

conda machine-learning matplotlib numpy pandas python sklearn

Last synced: 13 Apr 2026

https://github.com/barkerbg001/framefusion

Python script that creates a video from a set of images and adds a random audio clip to each video

glob moviepy numpy opencv pygt5 python python-3 random video video-editor

Last synced: 16 Apr 2026

https://github.com/ayhem18/tinyad

A simple Python library to better understand automatic Differentiation

automatic-differentiation mathematical-programming numpy python3

Last synced: 29 Apr 2026

https://github.com/companyakis/numpy

Python Numpy

data-science numpy python

Last synced: 04 Sep 2025

https://github.com/smirnovlad/data-science-notebooks

A collection of various data analysis approaches

data-science deep-learning kaggle machine-learning numpy pandas pytorch

Last synced: 10 Apr 2026

https://github.com/chdl17/marvelvsdc

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

excel jupyter-notebook numpy pandas python tableau-public

Last synced: 05 May 2026

https://github.com/broodhoney/heart-disease-prediction

This is a machine learning project which has a trained model that classifies whether a patient has a heart-disease or not.

kaggle-dataset matplotlib numpy pandas python scikit-learn scikitlearn-machine-learning uci

Last synced: 10 Apr 2026

https://github.com/shahiakhilesh1304/fitbitcasestudy

This is a case study based on data retrieved from a Fitbit band, and we are making predictions about human behavior based on their mood.

case-study data-visualization fitbit jupyter-notebook numpy python3

Last synced: 13 Apr 2026

https://github.com/dineshdhamodharan24/amazon-reviews-sentiment-analysis

This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.

matplotlib numpy pandas python scikit-learn

Last synced: 10 Apr 2026

https://github.com/kartikeya443/handgesture_vol_control

This OpenCV project enables remote control of sound playback using wireless communication. It lets users adjust the master volume of the central device using finger gestures, enhancing convenience and user experience.

mediapipe numpy opencv pycaw wireless-communication

Last synced: 13 Apr 2026

https://github.com/adityakumarda/kmeans-web-analytics

Built with Python, Pandas, and Scikit-learn, this machine learning project uses K-Means to cluster website users by behavior. It reveals patterns in engagement and bounce, helping drive data-informed decisions.

cluster-analysis elbow-curves elbow-method elbow-plot jupyter-notebook kmeans-clustering machine-learning matplotlib numpy pandas python python3 relationship scikit-learn seaborn sklearn

Last synced: 10 Apr 2026

https://github.com/goessl/adjugate

A package for calculating submatricies, minors, adjugate- and cofactor matrices.

adjugate cofactor determinant inverse linear-algebra matrix minor numpy python submatrix

Last synced: 07 Jan 2026

https://github.com/siddhi-c19/tourism_sid_tournaut

A comprehensive analysis of tourism data of various countries

data-science dataset mathplot mathplotlib numpy plotly statistics streamlit

Last synced: 06 May 2026

https://github.com/prateekrajsrivastav/financial-transition-classification

This project focuses on classifying financial transactions using machine learning techniques. By leveraging labeled data, the model aims to categorize transactions into predefined categories (e.g., "Food," "Transport," "Shopping," etc.).

matplotlib numpy pandas-python scikitlearn-machine-learning seaborn

Last synced: 07 Sep 2025

https://github.com/rlxchap2/crypto-miner

🔨Crypto Miner is a Python project designed to encrypt and decrypt files, especially images, using the powerful cryptography library

crypto cryptography csv numpy pillow python

Last synced: 08 May 2026

https://github.com/zuhairzia/customer-segmentation

📖 About Customer Segmentation using KMeans clustering to analyze demographics, income, and spending. Helps businesses with targeted marketing and customer insights.

joblib matplotlib numpy pandas scikit-learn seaborn

Last synced: 05 May 2026

https://github.com/cartabinaria/calcolo-numerico

Una raccolta di risorse per l'insegnamento di Calcolo numerico (02023) del Corso di Laurea in Informatica.

course maths numerical-methods numpy scipy uni

Last synced: 20 Jan 2026

https://github.com/samestrin/image-manipulation-api-digitalocean

A Python DigitalOcean App Platform based REST image manipulation API using Flask, NumPy, and OpenCV that runs in a Docker container.

api docker flask image image-processing numpy python python3 rest rest-api

Last synced: 13 Apr 2026

https://github.com/sarmad426/python

Python mastery. OOP | Numpy | Pandas | Jupyter Notebook & more.

fastapi file-handling-in-python jupyter numpy oop pandas pytest python regex unit-tests

Last synced: 10 Apr 2026

https://github.com/bbhargavpanchal/brain-tumor-segmentation-unet

U-Net based Convolutional Neural Network for brain tumor segmentation using MRI images. Implemented in Python with TensorFlow, OpenCV, and Scikit-learn.

keras-tensorflow numpy opencv pandas python scikit-learn sklearn tensorflow

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/pyladiesams/python-oss-sprints-mar2024

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

conda dask geopandas jupyter matplotlib numpy pandas pymc sklearn

Last synced: 05 May 2026

https://github.com/sgb31/csv-retrival-based-rag

Created a simple RAG system that lets users upload any CSV file and ask questions about it. It reads the data, finds the most relevant info, and uses an LLM to answer the query. Super handy for quickly exploring and understanding data through natural language.

generative-ai llm numpy pandas pydantic python3 sentence-transformers sklearn streamlit transformers

Last synced: 19 Jun 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/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/rooneyrulz/cat-dog-classifier

Building a model using a convolutional neural network that well-classifying custom cat vs dog image data. including visualizations, data-preprocessing, future predictions, model-evaluation, identifying overfitting, and more.

artificial-intelligence convolutional-neural-networks data-preprocessing data-visualizations deep-learning keras matplotlib numpy pandas predictive-modeling python3 seaborn tensorflow2

Last synced: 10 Apr 2026

https://github.com/pramodyasahan/cifar-10-object-recognition

This repository contains a TensorFlow-based image classification model designed to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset comprises 60,000 32x32 color images in 10 classes, with 6,000 images per class.

convolutional-neural-networks numpy python tensorflow

Last synced: 05 May 2026

https://github.com/nihalrt/lung-cancer-data-analysis-

This is a data analysis report, created with python pandas, numpy, matplotlib, and seaborn. Provides valuable insights into the symptoms of lung cancer from a survey set.

matplotlib numpy pandas python seaborn

Last synced: 26 Jan 2026

https://github.com/ai-lenok/moex-analyzer

A simple engine for analyzing Moscow Exchange securities

docker matplotlib numpy pandas python3

Last synced: 09 May 2026

https://github.com/rohra-mehak/sciencesync

System for Personalized Google Scholar Alerts Processing and Data Management, and provision of ML based clustering analysis

agglomerative-clustering clustering crossref-api customtkinter google-api google-scholar graph-api machine-learning numpy pandas python3 scientific-article-analysis scikit-learn sqlite3

Last synced: 05 May 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/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/rokmark0/auto-feature-engineering

🐙 Automated feature engineering toolkit that creates, selects, and transforms features for machine learning on tabular data, boosting model accuracy and speeding workflows.

auto-feature-engineering automl aws-ec2 dask data-science explainable-ml feature-engineering featuretools machine-learning mahinelearning numpy pandas pandas-library python r sagemaker supervised-learning unsupervised-learning

Last synced: 10 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/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/ngangawairimu/automating_farming_analysis

This project automates farming in Maji Ndogo, analyzing soil fertility, climate, and geography to recommend optimal crop locations. Python-based data analysis I uncovers patterns guiding farming practices.

matplotlib-pyplot numpy pandas python seaborn sqlite

Last synced: 10 Apr 2026

https://github.com/sahilk12nayak/hyperspectral-corn-don-prediction-project

This project contains a machine learning pipeline for predicting DON (vomitoxin) concentration in corn samples using hyperspectral imaging data.

matplotlib numpy pandas python scikit-learn seaborn tensorflow

Last synced: 10 Apr 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/anuppm9917/super-store-sales-analysis-power-bi-project

My drive to know which products, regions, categories and customer segments a company should target or avoid, I search and selected an appropriate dataset on kaggle which will match a standard superstore requirement.

data data-analysis data-visualization datacleansing excel exploratory-data-analysis jupyter-notebook numpy pandas plotly powerbi python3

Last synced: 10 Apr 2026

https://github.com/abdelrahman-amen/neural_style_transfer

This project applies neural style transfer to create new images by merging the content of one image with the artistic style of another.

neuralstyletransfer numpy os python streamlit tensorflow

Last synced: 05 May 2026

https://github.com/amruta33/lead_scoring_case_study

An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.

bagging linear-regression numpy pandas python3

Last synced: 05 May 2026

https://github.com/allanotieno254/pneumonia-xray-classification

This project is a Deep Learning-based Pneumonia classification system that allows medical staff to upload chest X-ray images and quickly determine whether a patient shows signs of pneumonia.

keras machine-learning numpy pandas pil pillow python streamlit streamlit-webapp

Last synced: 10 Apr 2026

https://github.com/tsungtsetu122/patternrecognition-gnn-node-classification

This project implements a Mixed Graph Neural Network (GNN) for semi-supervised multi-class node classification using the Facebook Large Page-Page Network Dataset. The goal of the project is to predict the class of each node (page) based on 128-dimensional feature vectors and the graph structure connecting the nodes.

evaluation-metrics gnn matplotlib networkx numpy optimization pandas python pytorch-geometric

Last synced: 05 May 2026

https://github.com/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/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/supernovasatsangi23/modifying-biomarker-gene-identification-for-effective-cancer-categorization

A project that focuses on implementing a hybrid approach that modifies the identification of biomarker genes for better categorization of cancer. The methodology is a fusion of MRMR filter method for feature selection, steady state genetic algorithm and a MLP classifier.

dataset deep-learning deep-neural-networks feature-selection genetic-algorithm machine-learning machine-learning-algorithms mlp-classifier mrmr neural-network numpy pandas-dataframe python python3 scikit-learn scikit-learn-python tkinter-gui tkinter-python

Last synced: 05 May 2026