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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/waynewbishop/bishop-algorithms-quiver-package

Quiver is a Swift package that provides vector operations for Swift applications.

data-science linear-algebra numpy swift vectors

Last synced: 31 Mar 2025

https://github.com/jaygaha/ai-mastery-roadmap

A collaborative AI learning roadmap. I'm documenting my journey from grasping the fundamentals of Python to mastering Machine Learning. Feel free to fork and contribute — let's build our AI skills together!

artificial-intelligence beginners-guide data-science deep-learning education numpy python python-programming self-taught tutorial

Last synced: 18 Jan 2026

https://github.com/amirkh777/data-science-yandex-practicum

My projects from the Yandex Practicum Data Science course.

data-science matplotlib numpy pandas python scikit-learn scipy seaborn

Last synced: 12 Apr 2026

https://github.com/aqueeqazam/machine-learning-using-scikit

This repository contains all of the algorithms used to train the machine learning models using the Scikit library.

numpy scikit-learn

Last synced: 04 May 2026

https://github.com/tigureis/aula_deployment

This project not only demonstrates a machine learning pipeline but also serves as a template for deploying models into production. By leveraging the project's structure and code, you can streamline the process of deploying your own machine learning models.

numpy pandas pickle sklearn

Last synced: 11 Apr 2026

https://github.com/dane-meister/machine-learning-algos

Repository of several ML algorithms implemented for different environments and robot control vectors.

colab-notebook gymnasium jupyter-notebook machine-learning-algorithms numpy opencv pybullet python pytorch

Last synced: 11 Apr 2026

https://github.com/sadegh15khedry/creditcard-transaction-anomaly-detection-using-isolationforest

detecting fraudulent transactions in credit card data using anomaly detection techniques.

anomaly-detection matplotlib numpy pandas python seaborn sklearn

Last synced: 27 Feb 2025

https://github.com/adi3042/sensor-fault-detection

🔍⚙️ Ensure Reliable Operations! Detect anomalies and prevent disruptions with our Sensor Fault Detection system. Explore advanced classification and regression techniques to identify and address sensor faults effectively. Your path to robust and accurate sensor data begins here! 🚨🔧 SensorFaultTech

classification css datetime fault-detection flask functools html ipykernel jupternotebook machine-learning numpy pandas python3 readme regression scikit-learn sensor setuptools venv

Last synced: 11 Apr 2026

https://github.com/offthetab/matcha_code_generation

Fine-tunning MatCha model for better python matplot lib code generation by given chart.

fine-tuning huggingface matcha matplotlib numpy pandas pil sklearn torch

Last synced: 20 Jan 2026

https://github.com/jvictor011/analise_de_dados_pokemon

Este projeto se concentra na análise dos dados da Pokedex, que incluem informações sobre vários Pokémon. O código em Python realiza várias etapas de análise exploratória de dados (AED) e gera visualizações para entender melhor as características dos Pokémon.

matplotlib numpy pandas python scipy

Last synced: 07 May 2025

https://github.com/omarsaad21/shopping-cart-eda

An EDA python project focusing on getting the most out of a movies dataset (- 1- combine this data together - 2- check messing values - 3- show summary statistics - 4- deal with date time and extract features from dates - 5- answer at least three questions from this data)

eda jupyter-notebook numpy pandas plotly python

Last synced: 13 Apr 2026

https://github.com/stella4444/linear-regression

learning about linear regression (currently a work in progress) ~ working with data

linear-regression machine-learning numpy scikit-learn

Last synced: 20 Jan 2026

https://github.com/asuquoaa/applied_data_science_with_python_study

Notes, codes and practicals on the Applied Data Science with Python specialization by UM

matplotlib numpy pandas seaborn

Last synced: 04 May 2026

https://github.com/dmkk01/mlp-python

Implementation of a multilayer perceptron using Pytorch and Numpy libraries

mlp numpy pytorch

Last synced: 05 May 2026

https://github.com/dyarleniber/hands-on-machine-learning

This repository contains code examples, exercises, and projects related to the concepts covered in the book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition" by Aurélien Géron.

ai artificial-intelligence keras machine-learning matpolotlib numpy pandas scikit-learn tensorflow

Last synced: 11 Apr 2026

https://github.com/kaguya163/marketing_campaigns

Анализ маркетинговой эффективности в спортивном ритейле.

ab-testing machine-learning matplotlib numpy pandas python scikit-learn scipy sqlite3

Last synced: 11 Apr 2026

https://github.com/mark1708/neurointerfaces-of-information-systems

Laboratory work on the discipline "Neurointerfaces of information systems"

numpy pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/vladd12/machine-learning-practice

Репозиторий для учебной практики и различных курсов, связанных с ИИ

json keras-tensorflow machine-learning numpy pandas pickle tensorflow2 torch xml

Last synced: 05 May 2026

https://github.com/nicolas-giacomelli/modelo-polinomial-api-streamlit

Codigo focado em treinamento de modelo de previsão de salario por tempo de empresa e nivel dentro da empresa disponibilizado por api e usando front-end streamlit para calcular basta inserir tempo de empresa e nivel e calcular o resultado de salario compativel

api fastapi joblib machine-learning matplotlib numpy pandas pingouin pydantic scikit-learn seaborn streamlit uvicorn

Last synced: 12 Apr 2026

https://github.com/aathithya-shanmuga-sundaram/cyber-threat-intelligence-dashboard

Interactive Streamlit dashboard for visualizing and analyzing cyber threats, featuring real-time data insights, severity classification, geolocation mapping, and customizable dark-cyber UI.

cyber-threat-intelligence cyber-threat-tool cybersecurity cybersecurity-tools data-visualization dataset numpy pandas plotly python streamlit threat-intelligence

Last synced: 10 Nov 2025

https://github.com/fimbres/emotion-recognition

This is an AI project developed in Python to recognize emotions in people.

ai kaggle-dataset keras numpy opencv python tensorflow

Last synced: 12 Apr 2026

https://github.com/junaidsumsaal/advanceparkingsystem

Its a web application that integrates AI-powered parking spot predictions, real-time notifications, and role-based dashboards for Drivers, Attendants, and Providers. This system is designed to streamline parking operations, enhance user experience, and leverage machine learning for future availability predictions.

axios-react chakra-ui-react data-science met metrics ml numpy pand python3 react sklearn tailwindcss typescript

Last synced: 11 Apr 2026

https://github.com/mahmood-anaam/grid-world-value-iteration

An implementation of the Value Iteration algorithm for solving the Grid World problem. This project provides a function to compute the optimal value function for a grid-based environment where a robot navigates to maximize rewards while avoiding penalties.

dynamic-programming grid-world numpy optimization-problem python value-iteration-algorithm

Last synced: 10 May 2026

https://github.com/mzayles/iris-seaborn_visualizacao-dados

💻📊✅ Curso de Programação em Python para Data Science | Gráficos utilizando a base de vendas da Seaborn e a biblioteca Matplotlib.

matplotlib numpy pandas python seaborn

Last synced: 24 Mar 2025

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/hariprasath-v/av-dataverse-hack---insurance-claim-prediction

Create a machine learning model to predict if the policyholder will file a claim in the next 6 months or not based on the set of car and policy features.

analyticsvidhya classification exploratory-data-analysis f1-score matplotlib numpy pandas python randomforest-classification scikit-learn seaborn shap

Last synced: 11 Apr 2026

https://github.com/elmezianech/email-spam-ham-classifier-nb-hard

Naive Bayes Email Classifier: An implementation of a 'hard' Naive Bayes classifier in Python to categorize emails as spam or ham. This code performs extensive data preprocessing, probability calculations, and model training for email classification using the raw Naive Bayes algorithm.

ai emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering

Last synced: 11 Apr 2026

https://github.com/nirmaldeepponnada/codeclauseinternshipproject1

This project involves Customer Segmentation using K-Means clustering to group customers based on Recency, Frequency, and Monetary (RFM) analysis from the Online Retail dataset. It also performs Sentiment Analysis on Amazon Product Reviews using Natural Language Processing techniques & Logistic Regression to classify reviews as positive or negative.

kmeans logistic-regression numpy pandas python3 regular-expressions scikit-learn tf-idf-vectorizer

Last synced: 11 Apr 2026

https://github.com/zhanziyuan/pixelpuzzle-web

Encode/decode images using Base64 or shuffle/recover the pixels of images.

anime encryption image image-processing numpy python

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/imdeepmind/knn_from_scratch

KNN classifier in pure Numpy and Python

knn knn-classification machine-learning numpy python

Last synced: 11 Apr 2026

https://github.com/vyjayanthipolapragada/fraud_detection_creditcard

Detecting the fraudulent credit card transactions by training Decision Tree model using Scikit-learn and SnapML

classification-model data-preprocessing decision-tree-classifier kaggle-dataset machine-learning numpy pandas python scikit-learn snapml time tree-model

Last synced: 11 Apr 2026

https://github.com/ashishsingh789/titanic_dataset_eda_and_visualization

This repository contains an exploratory data analysis (EDA) of the Titanic dataset. Key analyses include survival rates by gender, passenger class, age distribution, family size, and correlation heatmaps.

data data-science dataanalysis matplotlib numpy pandas pandas-dataframe python seborn visualisation

Last synced: 11 Apr 2026

https://github.com/sofiaalmaz/fanfictionproject

Анализ фанфиков по Гарри Поттеру с целью написания самого популярного фанфика

analysis fanfics fanfiction harry-potter jypyternotebook matplotlib ml networkx numpy pandas python scipy seaborn streamlit wordcloud

Last synced: 06 Jan 2026

https://github.com/varuntotakura/face-recognition

My own code for Face Recognition using Python

face-recognition numpy opencv python tensorflow

Last synced: 09 Apr 2026

https://github.com/chernyakid/bank-clients-churn-research

Анализ оттока клиентов в Метанпромбанке

jupyter numpy pandas python scipy seaborn

Last synced: 11 Apr 2026

https://github.com/linsanity03/football_prediction

ML project to predict goal from football events such as penalty, free kick.

jupyter-notebook numpy pandas pyspark python3 tensorflow

Last synced: 11 Apr 2026

https://github.com/ansh-info/industrial-scale-penicillin-simulation

Optimizing industrial-scale penicillin production using machine learning and data analysis.

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

Last synced: 11 Apr 2026

https://github.com/jeslipriya/emotion-detection

This project is an enhanced real-time facial emotion detection system that uses deep learning (OpenCV + mini-XCEPTION) to accurately recognize human emotions through a webcam or image input. It features advanced preprocessing, temporal smoothing, and a clean visual interface for smooth and stable emotion analysis.

7-emotions deep-learning emotion-detection fer2013 numpy opencv opencv-python python tensorflow

Last synced: 03 Jul 2025

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: 21 Jul 2025

https://github.com/byteshiva/getmaplocation

Automate Dummy data from the open data source. Parse International Address, Geopy to automate map locations using lat and lon, Cache geopy map location calls using sqlite3, Use Pandas to parse and convert CSV to JSON

csv-parser geopy json numpy pandas pandas-dataframe parser pickle python3 sqlite3

Last synced: 18 Apr 2026

https://github.com/sayan520/titanic-data-insights

Conducting data analysis on Kaggle's Titanic: Machine Learning from Disaster dataset using essential data wrangling, exploratory data analysis (EDA), and visualization techniques to uncover insights, identify patterns, and explore factors influencing passenger survival.

jupyter-notebook kaggle matplotlib numpy pandas python scikit-learn seaborn

Last synced: 12 Apr 2026

https://github.com/urvee1810/market_basket_analysis

A data mining project analyzing Instacart's 3 million grocery orders to uncover customer shopping patterns and product associations. Using market basket analysis and the Apriori algorithm, the project reveals key insights about shopping behavior, product combinations, and temporal patterns, providing valuable recommendations for retail strategy

apriori-algorithm data-mining data-visualization machine-learning market-basket-analysis matplotlib mlxtend numpy pandas python seaborn

Last synced: 12 Apr 2026

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/jbalooshie/movies-etl

Exercise working with movie datasets from Kaggle and Wikipedia. Python is used to extract, clean, and combine the data, and then it is loaded into a postgreSQL database.

data-analysis data-science jupyter-notebook numpy pandas postgresql postgresql-database python sqlalchemy

Last synced: 11 Apr 2026

https://github.com/apal21/tensorflow-linear-regression-fit-data

Fit a line passing through data with some random noise using Tensorflow linear regression with Gradient Descent Optimizer.

gradient-descent linear-regression numpy python3 tensorflow

Last synced: 12 Apr 2026

https://github.com/yanglr/mlnotes-python

Machine learning Notes for Python 3 (NumPy, TensorFlow etc.), with interactive Jupyter notebook.

jupyter jupyter-notebook numpy numpy-notes

Last synced: 21 May 2026

https://github.com/lmizner/codecademy_life_expectancy_gdp

Utilize understanding of data visualization to analyze and plot data about GDP and life expectancy

barplot jupyter-notebook lineplot matplotlib-pyplot numpy pandas python scatterplot seaborn

Last synced: 12 Apr 2026

https://github.com/ledsouza/python-powerbi

Desenvolver uma dashboard para análise do mercado financeiro utilizando Python e Power BI

etl matplotlib numpy pandas powerbi python seaborn

Last synced: 12 Apr 2026

https://github.com/mnitin-reddy/summer-olympics-data-analysis-web-app

An interactive web app for exploring trends in Olympic Games history, analyzing overall medal tallies, country-wise performance, and athlete demographics. Built with Python and Streamlit, this app offers insights through visualizations and data-driven statistics.

dataanalytics matplotlib numpy pandas python seaborn streamlit

Last synced: 12 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/aciluca/credit-approval-system

A machine learning application to predict credit card approval using Python, TensorFlow, and Docker.

data-science keras machine-learning numpy pandas python sklearn tensorflow

Last synced: 11 Apr 2026

https://github.com/anibalalpizar/python-machine-learning-example

This code reads and preprocesses a dataset for classification using pandas, numpy, matplotlib and scikit-learn. The dataset is split into three parts for training, validation and testing. The data is then scaled and optionally oversampled for balanced classes.

machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 11 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/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/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/abhi227070/wine-quality-prediction

The Wine Quality Prediction project utilizes machine learning to assess wine quality based on various parameters. It offers a user-friendly interface built with Streamlit for easy interaction. Deployed on AWS, it provides scalable access to quality predictions for wine batches.

classification-algorithm machine-learning machine-learning-algorithms machinelearning matplotlib numpy pandas python3 seaborn

Last synced: 11 Apr 2026

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/aleksandarbuk/machine-learning

The Machine Learning Library repository provides a collection of scripts and tools leveraging Scikit-Learn, Pandas, and NumPy for various machine learning tasks and data analysis.

matplotlib numpy python scikit-learn tensorflow

Last synced: 16 Apr 2026

https://github.com/armahdavi/data_pipeline_analytics_statistics_ml_pm_psd_residential_qff

Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782

data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics

Last synced: 11 Apr 2026

https://github.com/jo-minseok/global-warming-100year

🌡️ 2100년까지의 지구 기온, 해수면, 북극 빙하, 탄소 예측 ML [완료]

arima-model global-warming machine-learning matplotlib numpy pandas scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/Sadegh-Khedry/Pneumonia-Detection-Using-CNN

Classifying chest X-ray images into two categories: Pneumonia or Normal using a Convolutional Neural Network (CNN).

cnn convolutional-neural-networks cv2 deep-learning harris-corners joblib jupyter-notebook keras kmeans-clustering matplotlib numpy orb pandas python seaborn shutil sifit tensorflow

Last synced: 12 Apr 2026

https://github.com/dhirajmerit/diabetes-prediction-models

This project implements multiple machine learning algorithms to predict diabetes diagnoses based on medical diagnostic data. The project compares the performance of various models, providing insights into which algorithms are most effective for this task.

ai machine-learning numpy pandas tensorflow

Last synced: 11 Apr 2026

https://github.com/bhuvan-s-prasad/streamlit-regression

A machine learning project that predicts housing prices in California using regression techniques. This project includes comprehensive exploratory data analysis, feature engineering, linear regression modeling, and an interactive Streamlit web application for making predictions.

california-housing-price-prediction exploratory-data-analysis linear-regression machine-learning matplotlib numpy pandas python scikit-learn seaborn streamlit supervised-learning

Last synced: 11 Apr 2026

https://github.com/andrewzhoumq123/sci_graph_api

Generates different types of detailed plots for scientific data

fastapi h5py json matplotlib numpy pandas scipy

Last synced: 12 Apr 2026

https://github.com/chandkund/sentiment-analysis-using-nlp

This project focuses on Sentiment Analysis using the textual content from product reviews. The goal is to analyze user sentiments based on their written feedback, particularly focusing on the "reviewText" column in the dataset.

lemmatization matplotlib nlp nltk numpy pandas seaborn tokenization

Last synced: 31 Jan 2026

https://github.com/m-rishab/job-recruitment-prediction-and-hr-dashboard-using-plotly

This project features make it ideal for dynamic HR dashboards, offering insights into candidate profiles and recruitment processes.

correlation-analysis flask kmeans-clustering numpy pandas plotly python scikit-learn seaborn standardscaler

Last synced: 12 Apr 2026

https://github.com/stdlib-js/blas-ext-linspace

Return a new ndarray filled with linearly spaced values over a specified interval along one or more ndarray dimensions.

arange arrange javascript linear linspace math mathematics matlab ndarray node node-js nodejs numpy seq sequence statistics stats stdlib

Last synced: 04 May 2026

https://github.com/ieCecchetti/Python_ML_DL_examples

A variety of Machine Learning and Deep Learning scripts in Python. Included some theorical info about that in the Readme

bayes-classifier bayesian-statistics deep-learning kernel machine-learning matplotlib neural-network numpy pandas pca pca-analysis python scikitlearn-machine-learning scipy shi

Last synced: 10 Mar 2025

https://github.com/chokzb/covid19_vaccination_analysis

An EDA project examining global COVID-19 vaccination progress. The notebook investigates vaccination trends by country, daily vaccination rates, timeline patterns, and dose distribution. The project includes visualisations created with Matplotlib, Seaborn, and Plotly.

covid-19 data-analysis data-visualization jupyter-notebook matplotlib numpy pandas plotly python seaborn vaccination

Last synced: 07 May 2026

https://github.com/diegorezm/spc

Analise de espectros de Infravermelho por Transformada de Fourier (FTIR)

ftir-data-analysis numpy python

Last synced: 21 Apr 2026

https://github.com/akhileshthite/india-population

ML (simple linear regression) model for predicting India's population.

machine-learning numpy pandas python scikit-learn

Last synced: 09 Apr 2026

https://github.com/nabilshadman/multiprocessing-time-series-data-simulation

A simulation using multiprocessing to generate 10,000 time dependent samples from an initial dataset of 20 samples

multiprocessing numpy pandas scipy simulation statistics time-series

Last synced: 05 May 2026

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