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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/mike014/soundbot

This Repository will contain the prototype of a ChatBot created for the playback of audio, or everything related to audio in the world of video games and not.

chatbot dsp nlp nlp-library nlp-machine-learning numpy python scipy sound-processing

Last synced: 13 Apr 2026

https://github.com/vasu7052/recognizing-handwritten-digits

This is a machine learning project created in Python using Neural Networks and Supervised Learning Algorithms.

machine-learning machine-learning-algorithms numpy python scikit-learn

Last synced: 13 Apr 2026

https://github.com/jose-zothner-meyer/finance-individual-loans

A comprehensive analysis of a financial institution's loan portfolio using Python, focusing on data preprocessing, exploratory data analysis (EDA), and feature engineering.

credit data-science data-visualization eda exploratory-data-analysis finance jupyter-notebook matplotlib numpy pandas plotly python scipy seaborn

Last synced: 09 Apr 2026

https://github.com/kevin-rsj/real-estate-investments

Sistema de scoring que clasifica ciudades francesas para inversión en segundas viviendas según perfil de riesgo(alto, moderado y bajo). Evalúa ratios clave en áreas como demanda, disponibilidad, infraestructura, demografía y precios.

bigquery data-analytics looker-studio numpy pandas python sklearn-library sql visualization

Last synced: 09 Apr 2026

https://github.com/harmanveer-2546/house-price-prediction-

We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.

catboost-classifier linear-regression machine-learning matplotlib numpy pandas python random-forest seaborn svm

Last synced: 09 Apr 2026

https://github.com/mahdibehoftadeh/polynomial-regression-co2-emissions

A simple machine learning polynomial regression using a large dataset to learn and predict CO2 emission of a car by its built features like engine size and cylinders

machine-learning matplotlib numpy nural-network pandas polynomial-regression python scikit-learn

Last synced: 22 Feb 2026

https://github.com/azaz9026/eda

Exploratory Data Analysis (EDA) refers to the method of studying and exploring record sets to apprehend their predominant traits, discover patterns, locate outliers, and identify relationships between variables. EDA is normally carried out as a preliminary step before undertaking extra formal statistical analyses or modeling.

data-cleaning data-visualization encoding machine-learning matplotlib numpy pandas plotly python3 seaborn sklearn-library

Last synced: 15 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/debjyotisaha/web-application-projects

Web Applications developed with the help Python libraries and ML algorithms

algorithms cufflinks machine-learning matplotlib numpy pandas prediction python scikit-learn seaborn sklearn streamlit

Last synced: 13 Apr 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/mehwishferoz/data-analysis-with-python-zero-to-pandas

This repository contains the Python code and projects I created while learning the Data Analysis with Python: Zero to Pandas course. The course covers essential topics such as data cleaning, analysis, and visualization using powerful Python libraries like Pandas, NumPy, Matplotlib, and Seaborn.

exploratory-data-analysis jovian matplotlib numpy pandas seaborn

Last synced: 10 May 2026

https://github.com/athul64/tmdb-dataset-analysis

This data set contains information about 10,000 movies extracted from TMDB. The dataset contains movies from 1960 to 2015. Including user ratings and revenue. Original data from Kaggle.

data-visualization dataframe eda numpy pandas python

Last synced: 14 Apr 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/youssefyaser/scrape-the-imdb-site-for-the-top-250-movies

Web scraping the top 250 movies in IMDB site.

data-analysis numpy pandas python

Last synced: 04 May 2026

https://github.com/L-Gre/TradeFX-AI

A Python-based project exploring algorithmic trading strategies, including backtesting, real-time data integration, and predictive modeling with TensorFlow and Keras. Key topics include technical indicators, risk management, and leveraging AWS and broker APIs for automated trading.

algorithmic-trading aws backtesting broker-api keras machine-learning matplotlib numpy pandas portfolio-optimisation python real-time-data-integration risk-management technical-indicators tensorflow

Last synced: 26 Sep 2025

https://github.com/murugavl/customer_churn_prediction

Customer churn prediction is a crucial task in business analytics, helping companies identify customers who are likely to leave and take preventive actions. This project utilizes Machine Learning (ML) techniques to analyze customer behavior and predict churn.

jupyter-notebook machine-learning matplotlib numpy pandas pickle python scikit-learn streamlit

Last synced: 13 Apr 2026

https://github.com/piero24/lossfuncition-4sn

This research will show an innovative method useful in the segmentation of polyps during the screening phases of colonoscopies. To do this we have adopted a new approach which consists in merging the hybrid semantic network (HSNet) architecture model with the Reagion-wise(RW) as a loss function for the backpropagation process.

dataset deep-learning deep-neural-networks loss loss-functions matplotlib neural-network numpy opencv polyp-detection polyp-segmentation python python3 pytorch segmentation segmentation-models torchvision transformers unipd unipd-dei

Last synced: 06 May 2026

https://github.com/hanzopgp/randomkagglesolving

Trying to build models to resolve some interesting Kaggle datasets thanks to deep learning.

artificial-intelligence deep-learning jupyter-notebook machine-learning matplotlib numpy personal tensorflow

Last synced: 04 May 2026

https://github.com/abhishekyadav915/e-commerce-sales-analysis

E-Commerce Sales Analysis is a data analysis project that explores sales data from an e-commerce platform to uncover insights and trends. The analysis includes visualizing sales performance, customer behavior, and product trends to help optimize business strategies and improve customer satisfaction.

matplotlib-pyplot numpy pandas-library plotly python3

Last synced: 04 May 2026

https://github.com/dyrits/parite

OPENCLASSROOMS | PERFECTIONNEZ-VOUS EN PYTHON

matplotlib numpy pandas python

Last synced: 04 May 2026

https://github.com/zohaib-cheema/defacto

DeFacto is a machine learning-based tool that classifies fake news articles using a hybrid model built with Scikit-learn, TensorFlow, and Keras. The system analyzes social and political content to detect deception in news stories and social media posts, providing a reliable solution to address the growing issue of misinformation.

flask git keras numpy pandas r scikit-learn tensorflow

Last synced: 07 Apr 2026

https://github.com/ljadhav25/data-engineering-poc

This repository contains a beginner-level Data Engineering Proof of Concept (POC) project designed for practice. The objective is to provide hands-on experience with data engineering concepts, including data extraction, transformation, loading (ETL), and basic data analysis. This project is ideal for those looking to build foundational skills in da

data-analysis etl matplotlib numpy pandas python

Last synced: 13 Apr 2026

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

Sistema de predição de preços de carros usados desenvolvido para a Empresa Rusty Bargain

catboost lgbm numpy pandas pyplot python seaborn sklearn time

Last synced: 13 Apr 2026

https://github.com/cezlul/analyse-ventes-immobilier

Solution ML d'analyse immobilière parisienne : classification automatique appartements vs commerces (K-means, 91%) et prédiction prix (régression, R²=0.98) sur 26K transactions. Valorise portefeuille 169M€ avec recommandations stratégiques data-driven.

data-analysis jupyter-notebook machine-learning matplotlib numpy pandas python sklearn

Last synced: 13 Apr 2026

https://github.com/abhisek-13/multi-commodity-price-predictor

The Multi-Commodity Price Predictor is a machine learning project that predicts the prices of cars, bikes, and laptops. Using advanced techniques, it provides accurate price predictions based on user inputs. The project features an easy-to-use interface built with Streamlit, enabling users to get price predictions quickly and easily.

machine-learning machine-learning-algorithms matplotlib numpy pandas python seaborn sklearn sklearn-library streamlit

Last synced: 09 Apr 2026

https://github.com/niteshchawla/aerofit-casestudy

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: 09 Apr 2026

https://github.com/lexiortiz/ibm-data-engineering-fundamentals

Notes, exercises, and projects from the IBM Data Engineering Fundamentals path via Verizon Skill Forward.

data-engineering numpy pandas postegresql python sql

Last synced: 13 Apr 2026

https://github.com/sunilvarma-l/zomato-data-analysis-using-python

its a Python-based project to analyze and visualize Zomato restaurant data. This project explores various aspects of restaurant data, such as customer reviews, restaurant ratings, locations, and cuisines, with the aim of uncovering insights and trends in the food industry.

googlecollab matplotlib numpy pandas python seaborn

Last synced: 09 Apr 2026

https://github.com/chathumiamarasinghe/nn-training-model

A comprehensive project for training neural networks to solve real-world problems. This repository includes customizable code for building, training, and evaluating neural network architectures using popular deep learning frameworks.

jupyter-notebook matplotlib numpy phyton scikit-learn

Last synced: 04 May 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/rezapace/machine-learning-sound-detection

Welcome to the Machine Learning Detection Sound project! This project harnesses the power of machine learning to analyze car sounds, enabling the detection of vehicles based on their audio signatures.

colab-notebook googlecolab jupyter-notebook machine-learning numpy pathlib python python3 sound source tensorflow voice voice-recognition

Last synced: 09 Apr 2026

https://github.com/klima7/numpynet

Convolutional Neural Network written from scratch using numpy with API similar to tensorflow.

cnn convolution network nn numpy scratch tensorflow

Last synced: 24 Sep 2025

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/sakshithbillava/expense-manager

A web-based expense tracking app built with Python and Streamlit, featuring real-time updates, data visualization, user authentication, and MongoDB integration.

authentication data-visualization expense-manager matplotlib mongodb numpy pandas personal-finance python streamlit webapp

Last synced: 09 Apr 2026

https://github.com/prashhhant213/customer-behavior-analysis-for-walmart-black-friday-sales

This project is a Walmart case study analyzing customer purchase behavior by gender and demographics to inform business decisions, especially around spending habits during events like Black Friday.

matplotlib numpy pandas python scipy seaborn

Last synced: 06 Jan 2026

https://github.com/arrmansa/leetcode-nice-solutions

Some solutions for leetcode problems that I found fun - either the algorithm or using numpy bruteforce where it shouldn't be

leetcode leetcode-python leetcode-python3 leetcode-solutions numpy python python3

Last synced: 16 Mar 2025

https://github.com/hrolive/fundamentals-of-accelerated-data-science

How to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results.

accelerated-computing bokeh cudf cugraph cuml cupy dask data-science jupyter numpy pandas python rapids xgboost

Last synced: 12 Apr 2026

https://github.com/niteshchawla/netflix-case-study

Analyze the data and generate insights that could help Netflix ijn deciding which type of shows/movies to produce and how they can grow the business in different countries

matplotlib numpy pandas python seaborn

Last synced: 09 Apr 2026

https://github.com/naveen88112/healthcare

HealthCare Data Analysis and Forecasting This project examines healthcare data by processing missing values with KNN imputation, preprocessing features, and training classification models (Logistic Regression and Random Forest). The output includes performance metrics such as accuracy, confusion matrix, precision, recall, and ROC analysis.

data-visualization feature-engineering machine-learning model-evaluation numpy pandas python scikitlearn-machine-learning

Last synced: 12 Apr 2026

https://github.com/parth-jatav/super-store-analysis-project

The Super Store Analysis project leverages Python libraries such as pandas, matplotlib, and numpy to perform a comprehensive analysis of a retail store's data. This project includes data cleaning, visualization, and statistical analysis to identify key trends, optimize inventory, enhance decision-making processes for improved business performance.

data-analysis matplotlib numpy pandas python super-store

Last synced: 12 Apr 2026

https://github.com/mahmoudnamnam/superstore-analysis

This project explores the SuperStore dataset to uncover insights into sales, profit, and customer behavior. It identifies key trends, regional variations, and product performance, using data analysis and machine learning techniques to guide business strategy and optimize performance.

clustering data-analysis data-science data-visualization geopandas jupyter-notebook machine-learning numpy pandas plotly regression seaborn sklearn

Last synced: 12 Apr 2026

https://github.com/mostafa-ghorab/global-happiness-analysis

An analysis of global happiness rankings based on various factors like GDP, family support, health, and freedom from the World Happiness Report (2015-2017). This project provides data visualizations and statistical insights into how these factors influence happiness scores in different regions.

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

Last synced: 12 Apr 2026

https://github.com/muhkartal/xai_dashboard

an interactive AI dashboard for machine learning model analysis and explainability, supports model training, dataset exploration, feature importance analysis, and SHAP-based explanations for both individual predictions and overall model behavior, compare multiple models, visualize insights, and export results seamlessly

joblib numpy pandas python sckit-learn shap streamlit xgboost

Last synced: 04 May 2026

https://github.com/mdarshad1000/ml-libraries

Code for the scientific and visualization libraries in Python for Machine Learning.

matplotlib numpy pandas seaborn

Last synced: 09 Apr 2026

https://github.com/adityabadgotiya/facial-recognition-attendance-system

This Attendance System that uses facial recognition to automatically mark student attendance. It features admin and student logins, real-time face detection, attendance tracking, email reporting, and secure password management. Built with Python (Tkinter, OpenCV, and Pillow), it replaces manual attendance with automated facial verification.

hashlib numpy opencv pandas pillow python sha-256-hash smtplib tkinter-gui

Last synced: 12 Aug 2025

https://github.com/kasraskari/learn-python-codes

A beginner-friendly repository to learn Python programming through structured examples and scripts, covering topics from basics to advanced concepts.

jupyter-notebook matplotlib matplotlib-tutorial numpy numpy-tutorial pandas pandas-tutorial python python-learning python-tutorial python-tutorials scipy scipy-tutorial tutorials

Last synced: 09 Apr 2026

https://github.com/sk-g/mnist_beginners

Model search in traditional machine learning algorithms (non DL) and DL starter codes on MNIST dataset. This is a good starter code for beginners trying to learn about curse of dimensionality, overfitting and other concepts in general

keras machine-learning machine-learning-algorithms mnist mnist-beginners mnist-classification mnist-dataset numpy overfitting python pytorch pytorch-implmention resnet resnet-50 scikit-learn scikitlearn-machine-learning sklearn tensorflow

Last synced: 09 Apr 2026

https://github.com/themihirmathur/soiligator

Soiligator is an advanced machine learning project designed to optimize irrigation management by predicting whether irrigation is necessary based on environmental and soil-related data.

auc-score logistic-regression machine-learning matplotlib numpy pandas python random-forest-classifier roc-curve scikit-learn seaborn standardscaler support-vector-machine

Last synced: 12 Apr 2026

https://github.com/emhash/machine-learning-and-ai

Personal tasks or codes of Machine Learning and Artificial Intelligence. Practice codes and projects of Ml/AI will be share here.

ai datasets ipynb jupyter-notebook keras linear-regression logistic-regression machine-learning machine-learning-algorithms numpy opencv pandas python seaborn sklearn tensorflow

Last synced: 05 Jan 2026

https://github.com/jalijuhola/amazon-textual-reviews-recommender-

predicting score and recommending using amazon textual reviews

numpy pandas python scikit-learn typescript

Last synced: 09 Apr 2026

https://github.com/yuvrajsaraogi/sales-prediction-using-python

Sales prediction involves estimating future product sales based on factors like advertising spend, target audience, and platform. Businesses rely on data scientists to forecast sales and optimize advertising costs. Machine learning in Python can be used for this task.

data data-analysis data-science data-visualization machine-learning matplotlib natural-language-processing numpy pandas prediction python sales-prediction-using-python sql

Last synced: 19 Apr 2026

https://github.com/armahdavi/mlops

Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.

apache-beam docker fastapi logistic-regression mlops mlops-workflow numpy random-forest sklearn tensorflow-extended unicorn xgboost

Last synced: 12 Apr 2026

https://github.com/jahanostg/healthguard_with-smart-ai-diagnosis-hub

This project is a Flask-based platform for patients, donors, and doctors, integrating hospital management in one solution. It uses Machine Learning models for predictive health analysis and Power BI for interactive dashboards. Through this project, I enhanced my skills in full-stack development, applied ML, and healthcare data solutions.

css flask-api google-colaboratory-notebooks html5 js machine-learning mysql numpy pandas pkl-model powerbi python-3

Last synced: 09 Apr 2026

https://github.com/blackcub3s/msc-finalthesis

The most important programming files, code functions and data processing pipelines for the Machine learning final thesis of my Master's degree. Also, the LaTeX code of the thesis.

data-analysis latex machine-learning numpy python sklearn

Last synced: 09 Apr 2026

https://github.com/filip-kustura/python-covid-19-behaviors-analysis

Using Jupyter Notebook, this university project analyzes attitudes and behaviors related to the COVID-19 pandemic using a two-year survey from Imperial College London and YouGov research company. Utilizing Pandas, NumPy and Matplotlib, the data analysis focuses on three countries, exploring trends and insights throughout the pandemic.

covid-19 data-analysis data-visualization jupyter-notebook matplotlib numpy pandas python university-project

Last synced: 12 Apr 2026

https://github.com/nadahamdy217/movies-data-etl-using-python-gcp

Developed a comprehensive ETL pipeline for movie data using Python, Docker, and a GCP Pub/Sub emulator. Successfully processed and published the data in a local Docker environment, showcasing advanced data engineering skills.

analytics data data-engineering data-ingestion data-preparation data-preprocessing data-processing data-project docker etl etl-pipeline gcp matplotlib matplotlib-pyplot numpy pandas pubsub python scipy seaborn

Last synced: 06 Jan 2026

https://github.com/lexxai/goit_python_ds_hw_01

GoIT, Python Data Science, Homework number 1.

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

Last synced: 18 Apr 2026

https://github.com/lijesh010/employeeanalysis-

This is a simple data analysis project developed as part of my Entri Elevate Data Science and Machine Learning course. It serves as a practical demonstration of my skills in data analysis.

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/jcm-ai/Robust-MLOps-Elevating-Machine-Learning-to-Production-Scale

This project aims to address the challenge faced by the Office of Foreign Labor Certification in managing a high volume of job certification applications for employers seeking to hire foreign workers in the United States. By leveraging ML models, this project seeks to streamline the process of shortlisting visa applicants based on historical data.

aws-ec2 aws-ecr aws-s3 cicd-pipeline data-science docker-image end-to-end exploratory-data-analysis git github-actions html machine-learning-models mlops mlops-project model-deployment mongodb numpy pandas python yaml

Last synced: 09 Aug 2025

https://github.com/samanthalang/samanthalang_portfolio

Une data analyste avec la vision d'une consommatrice et la stratégie d'une marketeuse.

bigquery excel figma mysql notebook numpy pandas postgresql powerbi powerquery python sql sqlite wordpress

Last synced: 09 Apr 2026

https://github.com/fabricioarendtorres/streamauc

Light-weight package for classification metrics computed on streams or minibatches of data. Mainly for area under the curve (AUC) of precision-recall (PR) or receiver operating characteristic (ROC) curves. Supports multi-class setting with either macro- or micro aggregation..

classification-model machine-learning metrics numpy precision-recall-curve receiver-operating-characteristic

Last synced: 06 Jan 2026

https://github.com/compcode1/nfl-analysis

The objective of this analysis was to explore potential correlations between player attributes (such as average age and weight across different positions) and key team performance metrics from the 2023 NFL season.

datacleaning datanormalization numpy pandas pearson-correlation-coefficient pvalues

Last synced: 18 Apr 2026

https://github.com/v41bh4vr4jput/data-analysis-with-python

This repository is a comprehensive collection of data analysis projects and tutorials using Python's most powerful libraries: NumPy, Pandas, Seaborn, and Matplotlib. It is designed to help you explore, clean, visualize, and analyze data efficiently.

api data data-analysis data-visualization matplotlib numpy pandas python sakila-db seaborn

Last synced: 09 Apr 2026

https://github.com/mandeep04sharma/ev-cars-analysis---python

This project dives deep into electric vehicle specifications and performance using Python. It involves data cleaning, filtering, statistical analysis, outlier detection, and hypothesis testing to uncover meaningful insights.

matplotlib numpy pandas python scipy

Last synced: 09 Apr 2026

https://github.com/lorenzorottigni/ml-universities

Machine Learning python bootcamp: K mean clustering with public/private universities dataset

k-mean-clustering machine-learning numpy pandas python scikit-learn seaborn

Last synced: 05 Apr 2026

https://github.com/RedInfinityPro/CircuitPythonProjects

Rating: (4/10) This Python script simulates circuits using PySpice, importing libraries like NumPy and Matplotlib. It defines voltage divider, diode circuits, subcircuit definitions, DC sweep analysis, and simulates each circuit using the simulator.

matplotlib numpy os pyspice sys

Last synced: 30 Sep 2025

https://github.com/lorenzorottigni/ml-random

Machine Learning course of Piero Savastano 7: matplotlib, accuracy_score, precision_score, recall_score, f1_score, classification_report

machine-learning matplotlib metrics numpy

Last synced: 04 May 2026

https://github.com/rizkyrajitha/ann_101

A really simple neural network for binary classification written from scratch using python

jupyter-notebook numpy pandas

Last synced: 08 May 2026

https://github.com/mpoojithavigneswari/bangalore-house-price-prediction

This project involves creating a website that predicts Bangalore house prices with 94.65% accuracy using a machine learning algorithm.

data-analysis data-science flask-server machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 12 Apr 2026

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