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/cherukuri-thanu/conjoint-analysis-netflix

This repository contains configuration files for performing conjoint analysis on Netflix survey data.

conjoint-analysis logistic-regression matplotlib-pyplot netflix numpy pandas squantify statsmodels

Last synced: 16 Apr 2026

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

Predicting Heart Disease with ML 🏥🤖 Machine learning model to predict heart disease using clinical data. Includes data analysis, feature engineering, and model training.

machine-learning matplotlib numpy pandas python sklearn

Last synced: 12 Feb 2026

https://github.com/walkerdustin/python-linear-regression

simple linear regression in python based on coursera andrew ng course

ai linear-regression machine-learning ml numpy python

Last synced: 05 May 2026

https://github.com/yalai92/alfalfa_imp_exp_analysis

This repository covers data cleaning, analysis, and visualization of global alfalfa and pellet imports, focusing on trends from 2003 to 2023. It also includes a predictive analysis of global alfalfa demand for 2024-2029, using data science techniques to provide insights for stakeholders in the alfalfa industry.

data-analysis data-cleaning data-visualization matplotlib numpy pandas python sckiit-learn tableau

Last synced: 12 Feb 2026

https://github.com/tzepart/choosing-oil-region

Choosing and initialisation a machine learning model that will help determine the region where production will bring the greatest profit with the least risk of loss.

matplotlib ml numpy pandas seaborn sklearn

Last synced: 16 Apr 2026

https://github.com/dpgitaccount/project---hospital-readmission-analysis

The goal of this project is to build a predictive model to estimate the likelihood of a hospital readmission based on patient data. By identifying factors that contribute to readmissions, hospitals can optimize care and reduce costs associated with repeated visits.

boxplot confusion-matrix datamodeling exploratory-data-analysis heatmap histplot numpy pandas plotly python random-forest seaborn smote-sampling visualization

Last synced: 16 Apr 2026

https://github.com/lexxai/goit_python_ds_hw_09

Модуль 9. Підбір гіперпараметрів НМ. Глибоке навчання. Tensorflow. Keras.

adam-optimizer data-science google-colab keras keras-tensorflow numpy python

Last synced: 16 Apr 2026

https://github.com/codersales/machine-learning-classification

machine learning jupyter notebooks | data-science | priority | relevant | significant | green-light | 1 | may-2023-filtered | may-2023-filtered-2 | may-2023-filtered-3 | filtered-4 | frequent

authorized classification current decision-tree ensemble-techniques jupyter machine-learning more-than-100-commits more-than-300-commits numpy pandas python3 ranked repository-5 seaborn sklearn stacking sub-critical supervised-learning workstation

Last synced: 07 Mar 2026

https://github.com/kavayk29/speech-recognition-using-tdnn-and-data-augmentation

Developed a speech recognition system using TDNN, preprocessing audio, extracting MFCC features, and training the model. Fine-tuning with augmented data (19,000 rows) improved accuracy from 9% to 80% training and 40% validation. Data augmentation proved crucial for enhancing model performance and generalization. Still working to increase the acc.

deep-learning keras-tensorflow numpy os pandas tdnn tensorflow

Last synced: 14 Feb 2026

https://github.com/saurabh274/netflix-eda

Analyze the data and generate insights that could help Netflix in 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: 28 Feb 2026

https://github.com/mchenryspagg/economic-variable-correlation-and-productivity-model

This report provides an in-depth analysis of Nigeria's economic performance over the past decade, spanning from 2014 to 2024.

correlation exchangerates inflation moneysupply numpy productivity python regression regression-analysis regression-models visualization

Last synced: 15 Feb 2026

https://github.com/ben854719/trade-transfer-workflow-optimizer

This AI portfolio tools securely analyzes asset allocation, sector exposure, and performance. Its graph compares real and predicted close prices, enhanced with sentiment indicators such as “Confident” and “Surprised.” An avatar assistant provides user guidance combining technical accuracy with intuitive explanations.

agentic-ai avatar cryptography emotion-analysis encryption gemini json langgraph langraph machine-learning-algorithms matplotlib mcp-server numpy opencv-python pandas python pytorch rs256 seaborn

Last synced: 15 Feb 2026

https://github.com/justin-marian/numpy-mlp

MLP from-scratch implementation only with NumPy, it supports regression and classification tasks.

classification lasso mlp numpy r2-score regression ridge

Last synced: 16 Feb 2026

https://github.com/jessicahora/studies-on-linear-algebra

Repositorio com Estudos sobre Algebra Linear.

linalg linear-algebra matplotlib-pyplot matrix numpy python scipy

Last synced: 01 Mar 2026

https://github.com/pramodyasahan/health-insurance-cost-prediction

This project focuses on predicting health insurance costs using a polynomial regression model. By employing machine learning techniques in Python, the project aims to accurately estimate insurance costs based on various personal attributes. The model takes into account several features including age, sex, BMI, number of children, smoking status etc

machine-learning matplotlib numpy pandas python3 scikit-learn

Last synced: 16 Apr 2026

https://github.com/thiti-dev/attendance-management-system

A quick casual project just only for a demonstration in the discrete mathematics course

numpy opencv pandas pillow tkinter

Last synced: 16 Apr 2026

https://github.com/ejw-data/tableau-songs

Brief analysis of songs from 1890 - 2015 using pandas and Tableau

numpy pandas python songs tableau

Last synced: 16 Apr 2026

https://github.com/mugambi645/exploring-ebay-car-sales-data

Exploring ebay car sales dataset

car-sales data-analysis numpy pandas

Last synced: 16 Apr 2026

https://github.com/sahiltiwariiii/dssp

Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc

docker dotenv dvc flask machine-learning mlflow mlops mysql mysql-connector-python numpy pandas pymysql python python-dotenv scikit-learn seaborn sklearn-library statistics streamlit

Last synced: 27 Mar 2026

https://github.com/littie28/hazy-frames

Hierarchical coordinate frames - crystal clear transforms

3d coordinate-systems geometry numpy python reference-frames scipy transformations

Last synced: 18 Apr 2026

https://github.com/supershivam5/python_projects

💻 Python programming with Numpy, Pandas, Matplotlib.🌟 Love exploring new technologies. Check out my projects!

matplotlib-pyplot numpy pandas scikit-learn seaborn

Last synced: 17 Apr 2026

https://github.com/shashwat9kumar/us-accidents-data-analysis

Analysis of the US accidents using the US-Accidents dataset (4.2 million entries) from Kaggle

accidents accidents-analysis data-analysis data-analytics data-visualisation data-visualization matplotlib numpy pandas python

Last synced: 17 Apr 2026

https://github.com/ricobuilds/ml-roadmap

Opinionated roadmap to machine learning in 2023

conda huggingface machine-learning matplotlib numpy pandas python pytorch

Last synced: 06 Mar 2026

https://github.com/radinshahdaei/ce40215-nc

Theoretical and practical assignments for "Numerical Computation".

jupyter-notebook numpy python sympy

Last synced: 17 Apr 2026

https://github.com/kheriberto/knn_project

This is a simple project that uses dummie data to practice and demonstrate my knowledge of the KNN algorithm.

data-analysis knn-classifier numpy python scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/iamwatchdogs/cardiovascular-risk-prediction

This mini-project uses machine learning algorithms to predict possible risks of heart disease by analyzing given data.

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

Last synced: 02 Apr 2026

https://github.com/kernel-loophole/numerical-computing

Numerical Computing use python(Numpy,metplotlib).

numpy python quantum-computing

Last synced: 17 Apr 2026

https://github.com/rakibhhridoy/predictingsequence-timeseriesanalysis

Time series data easy handling purposes in TensorFlow and python functional programming. Time Series data is handled and pre-processed by different steps,like making window of the data,splitting data for model purpose is also different than other processing methods. All has combined for easy access.

forecasting functional-programming keras lstm lstm-neural-networks moving-average numpy python tensorflow time-series windowed

Last synced: 02 Apr 2026

https://github.com/christiemj/clock-drift-simulation

A Monte Carlo simulation in Python to model vacuum-induced frequency drifts in atomic clocks, with code and visuals (experimental setup, simulated vs. real-world comparison, and drift graph), as described in "Probing Vacuum-Induced Clock Drifts via Quantum Metrology: A Testable Hypothesis" (DOI: 10.5281/zenodo.15163879). Licensed under GPL 3.0.

allan-variance atomic-clocks cesium-ion clock-drift matplotlib monte-carlo-simulation numpy open-science pandas physics precision-metrology python quantum-metrology research-software scipy simulation vacuum-fluctuations vacuum-noise

Last synced: 17 Apr 2026

https://github.com/tashi-2004/deep-learning-grid-world-q-learning

Deep Learning Grid World Q-Learning . Implement Q-learning in a 5x5 grid where an agent navigates obstacles and rewards. Train the agent with varying learning rates, visualize its progress, and see Q-values as heatmaps. Run the script to start training and view results. Contributions are welcome!

agent-based-modeling artificial-intelligence deep-learning deep-q-learning exploitation exploration machine-learning machine-learning-algorithms matplotlib-pyplot numpy python q-learning q-learning-algorithm reinforcement-learning reinforcement-learning-algorithms state-value-function training

Last synced: 17 Apr 2026

https://github.com/smartpottech/smartpot-datagenerator

SmartPot-DataGenerator simulates environmental and plant data (temperature, humidity, luminosity, pH, TDS, soil moisture) for hydroponic garden management. This data is used for testing, analysis, and visualization in the SmartPot web portal, helping optimize plant care without actual hardware sensors.

data-model matplotlib numpy python simulated

Last synced: 17 Apr 2026

https://github.com/prcharan592/social-media-sentiment-analysis

Social media sentiment analysis using tweets involves analyzing tweet data to determine public sentiment (positive, negative, or neutral) using natural language processing (NLP) and machine learning techniques.

data-visualization machine-learning matplotlib nlp nltk numpy pandas python3 sentiment-analysis spacy tweets

Last synced: 04 Apr 2026

https://github.com/thoughtscript/python_api_2023

Some fun with Flask, Python, and Machine Learning

angular docker docker-compose flask machine-learning mysql numpy

Last synced: 04 Apr 2026

https://github.com/alainlebret/python-et-ia-1

Ressources personnelles du cours "Python & IA" en 2e année GPSE à l'ENSICAEN

artificial-intelligence image-processing machine-learning matplotlib numpy python scikit-image scikit-learn

Last synced: 04 Apr 2026

https://github.com/yashsonaar/machine-learning-tasks

This repository has machine learning tasks which include classification, recommendation system, fraud detection system

classification jupyter-notebook machine-learning numpy pandas prediction python scikit-learn testing

Last synced: 04 Apr 2026

https://github.com/jigyasag18/iit-guhawati-final-capstone-project

Smart Dynamic Parking Price Optimization System that adjusts parking fees in real-time based on demand, traffic, and competition. It employs adaptive pricing models and rerouting logic to enhance parking utilization and reduce congestion. The system is visualized via an interactive Streamlit dashboard, enabling users to simulate dynamic pricing.

bokeh bokeh-server bokehplots capstone-project data dataset deployment machine-learning machine-learning-algorithms matplotlib matplotlib-pyplot mlproject normalisation numpy pandas pathway python streamlit

Last synced: 05 Apr 2026

https://github.com/lexxai/goit_python_ds_hw_04

Модуль 4. Класифікація та оцінка роботи моделі. Лінійна регресія: перенавчання та регуляризація

lasso-regression linear-regression numpy pandas python red regression ridge-regression scikit-learn

Last synced: 05 Apr 2026

https://github.com/faraazarsath/guvi-task-4

This repository contains Python scripts for assessing and categorizing student performance data from two CSV files. The tasks include categorizing students based on their CodeKata scores.

data-visualization matplotlib numpy pandas

Last synced: 18 Apr 2026

https://github.com/md-emranhossen/deep-learning-hub

Welcome to Deep Learning Playground, a personal repository for exploring and experimenting with deep learning concepts, architectures, and techniques. This repo serves as a hands-on space for implementing and understanding deep learning models, from fundamental neural networks to advanced architectures.

cnn-model deep-learning deeplearning gan generative-adversarial-network neaural-network numpy pandas pthon tensorflow

Last synced: 18 Apr 2026

https://github.com/zombietdv/rfl-13_8

Implementaion for Genetic algorithm and Q-Learning.

genetic-algorithm grid-world machine-learning numpy pygame q-learning

Last synced: 18 Apr 2026

https://github.com/amdjadouxx/my_neural_network

implementation of a neural network library

deep-neural-networks ia machine-learning numpy python3

Last synced: 18 Apr 2026

https://github.com/shortthirdman/distributedlagmodels

Distributed Lag Models in Dynamic Model Time Series

disributed-log-models numpy pandas python statsmodels time-series

Last synced: 19 Apr 2026

https://github.com/aniket2021448/movie-recommender-system

A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis, NLP processing and ML, achieving the functionality of a Content based movie recommender system

data-exploration data-exploration-and-preprocessing free-hosting-service machine-learning natural-language-processing nltk-python numpy pandas streamlit-webapp

Last synced: 19 Apr 2026

https://github.com/codetun/wie-act-challenge-ai

Our AI model, integrated with the Defend Her extension, uses advanced natural language processing (NLP) to predict and identify offensive or harmful language in real-time 🧠💬🚫. By continuously analyzing content, it ensures accurate detection of bad words, enhancing the extension's ability to protect users and promote a safer online environment 🌐

colab csv jupiter-notebook kaggle nltk numpy pandas

Last synced: 19 Apr 2026

https://github.com/costopoulos/ntua-dsp

:signal_strength: NTUA ECE Digital Signal Processing Course Source Codes and Reports

dsp filters fourier-transform librosa numpy pywt scipy short-time-signal-analysis stft

Last synced: 19 Apr 2026

https://github.com/emerald-geomodelling/downfile

A safe & version independent pickle alternative that integrates setuptool entry points for extensions

feather json numpy pandas python serialization

Last synced: 19 Apr 2026

https://github.com/gemmus/tictactoe-ai

Built with minimax algorithm, using pygame.

minimax-algorithm numpy oop pygame python tic-tac-toe

Last synced: 20 Apr 2026

https://github.com/montanaz0r/suicide-rate-analysis

Testing a significance of the correlation between a suicide rate and a number of psychiatrists and psychologists working in the mental health sector

analysis correlation data data-analysis data-science jupyter-notebook jupyter-notebooks matplotlib numpy pandas psychology python python-3 seaborn statistics suicide-rate

Last synced: 20 Apr 2026

https://github.com/jbalooshie/school_district_analysis

Analysis of standardized testing results using NumPy and Pandas, executed in Jupyter Notebook. Summaries of the testing results are provided based on school, test type, and grade level.

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

Last synced: 20 Apr 2026

https://github.com/muhammadmoeezkhan/euclidean-distances

Python Program That Calculates Euclidean Distances Via 5 Algorithms

numpy pandas-python scipy timeit

Last synced: 20 Apr 2026

https://github.com/aminnj/numpy.jl

Simple numpy snippets implemented in julia

joke julia maybenot numpy python

Last synced: 20 Apr 2026

https://github.com/byrongomezjr/traffic_sign_detection

Deep learning system to detect stop signs and traffic lights using Keras' image recognition capabilities

keras matloptlib numpy python tensorflow

Last synced: 20 Apr 2026

https://github.com/abyss-s/data-analysis-project

[컴퓨팅사고와 데이터분석 기초] 최종 프로젝트 (2024-1)

matplotlib numpy pandas python sckiit-learn

Last synced: 20 Apr 2026

https://github.com/aleklukanen/systemsofsprings

This repository contains a few helpful pieces of Python code that can be used to compute time dependent positions of springs in 2 and 3 dimensions.

finite-element-methods finite-elements jupyter-notebook numerical numpy python

Last synced: 21 Apr 2026

https://github.com/refraction-ray/numkl

A thin cython/python wrapper on some routines from Intel MKL

cython-wrapper lapack mkl numpy

Last synced: 21 Apr 2026

https://github.com/prince-gh/numpy

Learn Numpy step by step

library numpy prince-gh python

Last synced: 22 Apr 2026

https://github.com/ahmad-ali-rafique/numpy-mastery-notebook

Inside this repository, you'll discover a comprehensive notebook dedicated to showcasing various NumPy array methods and operations. From basic array manipulation to advanced techniques, I've compiled a collection of examples and explanations to help both beginners and seasoned Python developers deepen their understanding of NumPy.

dataanalytics numpy numpy-arrays numpy-exercises numpy-library numpy-python

Last synced: 24 Apr 2026

https://github.com/alepheleven/neuralnet

Neural Network library in NumPy✨

neural-network numpy

Last synced: 24 Apr 2026

https://github.com/redinfinitypro/pygamecicruit

Rating: (6/10) The code combines a Pygame GUI application with a PySpice circuit simulation, providing a user-friendly interface with buttons, menu options, dropdown menus, input boxes, sliders, and text elements.

matplotlib numpy os pygame pyspice random sys

Last synced: 24 Apr 2026

https://github.com/nightmachinery/mlp_from_scratch

A simple MLP using only numpy. The computational graph is not automatically tracked, but the network supports arbitrarily many batch axes.

deep-learning deep-neural-networks deeplearning educational mlp mlp-classifier mlp-networks numpy

Last synced: 25 Apr 2026

https://github.com/timothyjan/cartoonify-image-opencv

Application that transforms images into its cartoon using Python, OpenCV(cv2), easyguy, numpy, imageio, and tkinter.

easygui imageio numpy opencv2 tkinter

Last synced: 25 Apr 2026

https://github.com/dpb44/exploring-the-intuition-of-neural-networks-on-a-classification-problem-using-only-numpy

Implementing a softmax-based neural network from scratch using NumPy to classify the Iris dataset, leveraging vectorization, gradient descent, and decision boundary visualization.

deep-learning neural-network numpy softmax-classifier

Last synced: 02 May 2026

https://github.com/mgitrov/ann-from-scratch

An artificial neural network implemented from scratch using numpy only.

artificial-neural-networks deep-learning guide numpy

Last synced: 02 May 2026

https://github.com/amishidesai04/emergency-calls-data-analysis-project

Welcome to the Emergency Calls Data Analysis project repository. This project is dedicated to extracting, processing, and visualizing data from the "Emergency – 911 Calls, Montgomery County" dataset, sourced from Kaggle. The main objective is to analyze trends in emergency calls in Montgomery County, Pennsylvania, spanning multiple years.

analysis data-analysis data-extraction data-processing data-science data-visualization numpy pandas python seaborn

Last synced: 02 May 2026

https://github.com/fabriciocovalesci/sistema-vendas-graficos

Sistema simples de vendas e estoque, com gráficos usando Matplotlib

matplotlib matplotlib-pyplot numpy python-script python3 venv virtualenv

Last synced: 02 May 2026

https://github.com/camsai/jupyterlite

CAMSAI JupyterLite is a lightweight, browser-based environment tailored for AI-driven materials science research. It integrates CAMSAI tools, schemas, and workflows, enabling users to validate data, run simulations, and explore materials science applications without requiring local installation or setup.

chemistry jupyterlite materials materials-design materials-informatics materials-science matplotlib numpy pyodide python scipy

Last synced: 02 May 2026

https://github.com/andremenezesds/machine_learning_test

Testing among various Machine Learning models and parameters, in order to further study their behaviour for Classification, Regression and Clustering analysis.

classification-models clustering-models machine-learning numpy pandas regression-models sklearn

Last synced: 02 May 2026

https://github.com/ksharma67/intel-stock-predication-wiith-eda

We are trying to design a model that can predict the price of stock using different methods and algorithms.

eda linear-regression machine-learning-algorithms matplotlib numpy pandas prediction python scaler seaborn skit-learn

Last synced: 02 May 2026

https://github.com/badranalyst/movie-correlation-analysis-in-python

This project analyzes movie data correlations using Python libraries like Pandas, NumPy, Seaborn, and Matplotlib. It examines relationships between attributes such as ratings, genres, and box office performance to uncover trends that inform recommendations and enhance understanding of movie success factors.

data data-analysis dataset jupyter jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python seaborn

Last synced: 03 May 2026

https://github.com/krumyakimov/house-price-developments-in-bulgaria

I developed this project for my final exam in the Data Science course at SoftUni.

data-science jupyter-notebook matplotlib numpy pandas scipy seaborn

Last synced: 03 May 2026

https://github.com/kisaa-fatima/foreground-segmentation-using-kmeans-face-recognization-using-knn

Implement a basic version of the interactive image cut-out/segmentation approach called Lazy Snapping. The program uses K-Means Clustering to segment images into foreground and background based on user-provided seed pixels.

face-recognition foreground-segmentation kmeans-clustering knn-classification matplotlib numpy opencv2 pil

Last synced: 03 May 2026

https://github.com/layonj3000/libras-recognition

This project is a Brazilian Sign Language (LIBRAS) recognition system that utilizes computer vision and machine learning techniques.

computer-vision libras mediapipe numpy opencv python random-forest-classifier

Last synced: 03 May 2026

https://github.com/thiagonunesbatista/deuteranopia-simulator-computer-vision-python

Live color detection with a webcam and a simulation of deuteranopia's color perception effects.

computer-vision numpy opencv python

Last synced: 03 May 2026

https://github.com/shreenidhi7700/auto_price_prediction

We are required to use Machine Learning algorithms to predict the price of cars with the available independent variables such as Horsepower, no-of-cylinders, engine-type, city_mpg, highway_mpg etc.

decision-tree-regression ensemble knn-regression linear-regression machine-learning-algorithms matplotlib-pyplot numpy pandas python3 random-forest-regression regression seaborn xgboost-regression

Last synced: 04 May 2026

https://github.com/kaustavmodak/business-aided-customer-feedback-assessment-system

A Streamlit-based sentiment analysis app that classifies customer reviews into Positive, Neutral, or Negative using a pre-trained ML mode

framework machine-learning matplotlib nlp nltk numpy pandas pickle regex scikit-learn seaborn sentiment-analysis streamlt tfidf-vectorizer

Last synced: 03 May 2026

https://github.com/jonad/finding_donors

Predicting income with UCI Census Income Dataset using supervised machine learning algorithms

numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 03 May 2026

https://github.com/manikantasanjay/youtube_exploratory_data_analytics

This is a Mini Project made using Python Libraries like Numpy, Pandas, Matplotlib etc to perform Data Analytics on US Video and Comments dataset.

jupyter-notebook matplotlib numpy pandas plotly python seaborn wordcloud

Last synced: 03 May 2026