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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/id-andyyy/alfahack

๐Ÿ“ˆ๐Ÿ’ฐ Investment propensity prediction model

catboost hackathon-project jupyter lightgbm numpy optuna pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/adarshpheonix2810/fake-job-post-detection

This project focuses on detecting fake job posts using machine learning. Fake job advertisements are often created to scam individuals by stealing personal information or money.

data-analysis deep-learning joblib machine-learning nlp-machine-learning numpy pandas python scikit-learn tkinter

Last synced: 12 Apr 2026

https://github.com/tebogoyungmercykay/mathematical_modelling_in_python

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.

clock counter differential-equations equations-and-plotting growth-factor is-sorted lamda-expressions linearization logistic-difference-equations mathplotlib numpy pell-recursive polyfit python recursion rieman-sums sympy

Last synced: 14 Mar 2025

https://github.com/khushi130404/echobot

EchoBot is a chatbot built using TensorFlow to classify user inputs into predefined intents and respond accordingly. It uses a neural network trained with the data in intents.json.

keras nlp nltk numpy pickle tensorflow

Last synced: 12 Apr 2026

https://github.com/ebadshabbir/logistic_regression-binomial-

Logistic Regression on Social Network Ads Dataset This project applies Logistic Regression to predict whether a user will purchase a product based on their age and estimated salary, using the Social Network Ads dataset. The data is split into training and test sets, with feature scaling applied for normalization.

classification jupyter-notebook logistic-regression machine-learning matplotlib-pyplot numpy pandas python sklearn

Last synced: 11 Apr 2026

https://github.com/guptamudit/whatsapp-chat-analyser

Created an online Whats App chat analysis tool which is designed to extract valuable insights from your group or one-on-one conversations. By analyzing your chat data, WhatsChat provides detailed statistics and visualizations.

matplotlib numpy pandas python seaborn

Last synced: 11 Apr 2026

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

Codigo focado em treinamento de modelo de previsรฃo 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/manuelfay/numpydeeplearning

Deep Learning Framework built entirely using numpy

deep-learning deep-learning-framework minigrad numpy pytorch

Last synced: 06 May 2026

https://github.com/iaroslavbelavskii/statkemapp

Here's the code for my 'StatKemApp' app, that can be used to calculate statistics for the experimental laboratory data (e.g. titration). Feel free to use it and report any bugs!

chemical-engineering chemistry matplotlib-pyplot numpy pandas python scipy

Last synced: 11 Apr 2026

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/parkjungyoon/til-data_study

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crawling machine-learning monodb mysql numpy pandas python

Last synced: 12 Apr 2026

https://github.com/samuele-lolli/data-analytics-techniques

A practical approach to data analytics pipeline.

numpy pandas pytorch scikit-learn

Last synced: 11 Apr 2026

https://github.com/jvictor011/big-five-personality-test

Usandoย machine learning para fazer o agrupamento de um sistema de traรงo de personalidade

matplotlib numpy os pandas python seaborn

Last synced: 07 May 2025

https://github.com/sujalk777/signal_systems_lab

This repository contains the assignments for the Signal Systems Laboratory course offered at IIT Jammu Autumn 24

jupyter-notebook librosa linux matplotlib numpy python raspberry-pi

Last synced: 12 Apr 2026

https://github.com/ianjure/simple-neural-network

Implementing a simple neural network using only Numpy.

deep-learning neural-network notebook numpy scratch-implementation

Last synced: 06 May 2026

https://github.com/amnydv17/landmark-detection

This project aims to leverage the power of deep learning models to automatically detect and pinpoint landmarks such as famous monuments, buildings, natural landmarks, and other recognizable structures within images.

machine-learning matplotlib numpy pandas python3 scikit-learn seaborn tensorflow

Last synced: 11 Apr 2026

https://github.com/shandilya1998/neurorobotics

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

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

Last synced: 12 Apr 2026

https://github.com/rakibhhridoy/differentprojects

Some of my learning projects that I practice to launch in data science. Not all, but some of few that was stored in my local repository. It can be useful for beginner data science enthusiast. Explore and learn!

data-science deep-learning machine-learning mathematics matplotlib numpy pandas python scikit-learn seaborn statistics

Last synced: 11 Apr 2026

https://github.com/RedInfinityPro/AI_projects

Rating (7/10) The code is a chatbot that interacts with users based on article content. However, issues include incorrect sorting, typos, incorrect indentation, and lack of explanations for each part, potentially affecting the bot's robustness and understanding of context.

newspaper nltk numpy python random sklearn string warnings

Last synced: 30 Sep 2025

https://github.com/adamouization/python-machine-learning-data-science-notes

:orange_book: Jupyter notebooks containing useful Python code and notes for general Machine Learning and Data Science projects.

data data-science data-visualization guide jupyter jupyter-notebook machine-learning matplotlib notes numpy pandas pandas-dataframe python seaborn

Last synced: 11 Apr 2026

https://github.com/iama02/vet-medicine-analysis

Analysis of 50,000+ veterinary medicine records with Pandas and NumPy, highlighting dosage forms, manufacturers, indications, and shelf life trends.

numpy pandas python

Last synced: 06 May 2026

https://github.com/jminjares4/selected-areas-in-networks

Assignments for Selected Areas in Networks (EE 5390)

matplotlib network-analysis numpy pandas python

Last synced: 08 May 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/broodhoney/titanic-ml-from-disaster

This repository contains my analysis and solutions for the Titanic: Machine Learning from Disaster competition on Kaggle. The notebook explores the dataset, performs extensive Exploratory Data Analysis (EDA), applies feature engineering techniques, and builds predictive models to determine survival outcomes based on passenger data

machine-learning numpy pandas python scikit-learn scikitlearn-machine-learning

Last synced: 11 Apr 2026

https://github.com/dmarks84/coursework_project_text-mining-spam-analysis

Project for University of Michigan Applied Data Science Specialization -- Performed NLP in order to build features of email messages; trained various classification models to help predict if a message was spam.

classification databases eda nlp numpy pandas python scikit seaborn sentiment-analysis statistics supervised-ml text-mining unsupervised-ml visualization

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/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/kareem74x/data-mining-uni-project

A project focused on applying data mining techniques to extract insights from datasets

data-mining matplotlib numpy pandas python

Last synced: 25 Feb 2026

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/akashash01/navie_bayes

It's an simple probabilistic classifiers based on applying Bayes theorem with strong independence assumptions between the features. Highly effective for text sequence oriented data(independent variables).

data-science machine-learning numpy pandas python sklearn supervised-learning

Last synced: 09 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/tnleite/credit-card-customer-clustering

Este repositรณrio apresenta um projeto de segmentaรงรฃo e prediรงรฃo de clientes de cartรตes de crรฉdito. Utilizando EDA, clusterizaรงรฃo (K-Means) e machine learning, o objetivo รฉ prever o grupo de novos clientes, apoiando estratรฉgias de marketing personalizadas.

classification-algorithm clustering-algorithm clustering-analysis data-science exploratory-data-analysis kmeans-clustering logistic-regression machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn seaborn

Last synced: 07 May 2026

https://github.com/techcsispit/algorithmic-trading

This project focuses on algorithmic training using Python in Jupyter Notebooks. It covers various data structures and algorithms, providing a hands-on approach to solving algorithmic challenges. The notebooks are designed to be interactive and educational for learners of all levels.

matplotlib numpy pandas python sklearn

Last synced: 04 Sep 2025

https://github.com/rahul-shrivastav/digit-recognition-nn

Web application that recognizes handwritten digits using a deep learning model

deep-learning flask numpy python reactjs tensorflow

Last synced: 11 Apr 2026

https://github.com/vishal-verma-96/pre-owned-car-price-prediction-using-streamlit-app

Capstone Project by skill Academy- Exploratory Analysis, Visualization and Prediction of Used Car Prices. Deploying the highest-scoring model with Streamlit web app

data-analysis data-science jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python3 regression-algorithms scikit-learn seaborn streamlit

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/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/frolov-andrey2405/mandelbrot-s-fractal

Mandelbrot's Fractal Constructions

numba numpy pygame python

Last synced: 06 May 2026

https://github.com/vyjayanthipolapragada/marketing_statistical_analysis

Statistical analysis of customer data and their impact on the sales of products based on marketing campaigns

customer-data data-analysis dataframes marketing matplotlib numpy pandas python seaborn statistical-analysis

Last synced: 11 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/matheusafonseca/c111

Este repositรณrio รฉ dedicado ao armazenamento e organizaรงรฃo dos cรณdigos desenvolvidos na disciplina C111 - Anรกlise de Dados, oferecida pelo Instituto Nacional de Telecomunicaรงรตes (INATEL).

data-analysis matplotlib numpy pandas python

Last synced: 06 May 2026

https://github.com/theashishmavii/intelligent-crash-detection-and-emergency-notification

Intelligent Crash Detection: A deep learning-based system that detects vehicle accidents in real-time and sends emergency alerts with GPS location.

artificial-intelligence computer-vision deep-learning geolocation geopy keras machine-learning matplotlib numpy opencv pandas python tensorflow twilio vgg16

Last synced: 11 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/alexquar/whatisthatdog

Mobile App built using react-native that will send api requests for classifying dog breeds to a flask api server containing a custom built CNN made with pytorch trained on the Stanford dog dataset. To take a look at some examples checkout some images from my portfolio linked here.

aws ec2 expo flask gunicorn matplotlib-pyplot numpy pandas pytorch react-native seaborn typescript

Last synced: 11 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/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

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/mborne/numpy-experiments

[DEV] Some basic examples written to get started with numpy and pytorch

autograd basics get-started least-squares numpy torch

Last synced: 05 May 2026

https://github.com/chirindaopensource/non_linear_forecasting_backcasting

Python implementation of Gourieroux-Jasiak's (2025) mixed causal-noncausal VAR models. Features probabilistic forecasting, nonlinear innovation filtering, and state-dependent IRF analysis for financial time series with explosive dynamics. Enables robust risk assessment and structural analysis of speculative behavior.

bootstrap bubble-analysis financial-modeling forecasting jupyter-notebook monte-carlo nonlinear-modeling numpy pandas python quantitative-finance research-implementation risk-management scipy statistical-modeling time-series uncertainty-quantification var-models

Last synced: 11 Apr 2026

https://github.com/hariprasath-v/av-job-a-thon-november-2022

Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.

exploratory-data-analysis kaggle lightgbm-regressor matplotlib numpy pandas python rmse-score seaborn sklearn statsmodels timeseries-forecasting

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/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/manikantasanjay/data_analysis_using_python_libraries_series

This Series contains Data Analysis projects performed on different Kaggle datasets and providing valuable insights into the data by making use of Python libraries.

exploratory-data-analysis kaggle-datasets machine-learning matplotlib numpy opendatasets pandas python visualization

Last synced: 12 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/lohiyah/real-estate-price-forecast

A Python-based app predicting real estate prices using machine learning. Built with Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn for data processing and visualization, and Flask for the web interface.

flask matplotlib numpy pandas python3 scikit-learn seaborn

Last synced: 11 Apr 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/harmanveer-2546/wafer-fault-detection

The goal is to eliminate manual work in identifying faulty wafers. Opening and handling suspected wafers disrupts the entire process. False negatives result in wasted time, manpower, and costs.

clustering data-transformation feature-selection machine-learning matplotlib numpy pandas python random-forest roc-auc-curve roc-auc-score seaborn sklearn svc xgboost

Last synced: 11 Apr 2026

https://github.com/billgewrgoulas/recommendation-systems

Algorithms for joke rating prediction using the joke data-set from Kaggle.

algorithm clustering collaborative-filtering machine-learning numpy pandas recommender-system scikit-learn scypi

Last synced: 06 May 2026

https://github.com/hariprasath-v/av_job-a-thon-august-2022

Build a Machine Learning model to predict the CTR(click through rate) of an email campaign based on the email campaigning information.

exploratory-data-analysis klib machine-learning matplotlib numpy pandas pycaret-library regression seaborn sklearn

Last synced: 12 Apr 2026

https://github.com/mat-kubiak/manual-ml

DIY ML framework (using only NumPy!) + various demos

artificial-intelligence examples machine-learning ml ml-framework neural-networks numpy

Last synced: 06 May 2026

https://github.com/sankaran-s2001/us-traffic-accidents-analysis-python-eda

Exploratory data analysis of US traffic accidents from 2016-2023, analyzing patterns by time, location, weather, and severity using Python data science libraries.

data-analysis data-science data-visualization eda matplolib numpy pandas python

Last synced: 06 May 2026

https://github.com/abideen-olawuwo/logistic-regression-house-prediction

Using logistic Regression Model to predict house price

logistic-regression matplotlib numpy pandas python seaborn sklearn

Last synced: 12 Apr 2026

https://github.com/dmarks84/ind_project_obesity-multi-class-classification--kaggle

Independent Project - Kaggle Competition -- I worked on the obesity classification data set as part of a Kaggle Competition of the same name, scoring (for accuracy) above 0.9

classification correlation-analysis cross-validation data-modeling data-visualization dataframes eda gridsearchcv matplotlib multiclass-classification numpy pandas python seaborn sklearn statistics supervised-ml

Last synced: 11 Apr 2026

https://github.com/raghavendra317/brain-tumor-detection

A deep learning-based project for classifying brain MRI images into Glioma, Meningioma, No Tumor, and Pituitary Tumor using Convolutional Neural Networks (CNNs). This project aims to assist in early tumor detection, improving diagnostic accuracy and healthcare outcomes.

cnn-classification keras numpy opencv scikit-learn tensorflow

Last synced: 12 Apr 2026

https://github.com/mramshaw/intro-to-ml

Intro to Machine Learning - Pattern Recognition for Fun and Profit

machine-learning matplotlib ml numpy pandas pip pip3 python scikit-learn scipy seaborn seaborn-plots sklearn statsmodels tensorflow weka

Last synced: 11 Apr 2026

https://github.com/sandipkushwaha20/brain_tumour_detector

This project utilizes deep learning to detect and classify brain tumors from MRI images. The primary objective is to determine whether a tumor is present and, if so, classify its type with high accuracy.

deeplearning keras numpy pandas python tensorflow

Last synced: 12 Apr 2026

NumPy Awesome Lists
awesome-jax 218 awesome-data-analysis 936 awesome-ebooks 106 awesome-jax 149 awesome-mojo-max-mlir 181 awesome-numpy 32 practice-data-science-programming-projects 90
NumPy Categories
Blogs 404 Libraries 239 โšก Productivity 101 ๐Ÿง  AI Applications & Platforms 96 ๐Ÿ Python 91 Exercises 87 Models and Projects 74 ๐Ÿ“š Skill Development & Career 67 ๐Ÿ—ƒ๏ธ SQL & Databases 53 Tutorials and Blog Posts 53 ๐Ÿค– Machine Learning & AI 52 ๐Ÿ“ฆ Additional Python Libraries 51 ๐Ÿ“ More Awesome Lists 50 โ˜๏ธ Cloud Platforms & Infrastructure 46 ๐Ÿ“‹ Cheatsheets 44 ๐Ÿ“Š Data Visualization 38 ๐Ÿ“ˆ Dashboards & BI 35 Videos 34 ๐ŸŽฒ Statistics & Probability 34 Web 33