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/mayankanand007/betago

Platform for tracking Go moves using Computer Vision. (StarterHacks 2018 submission)

java matlab matplotlib numpy opencv-python python3

Last synced: 01 May 2026

https://github.com/dhruvv1402/spam-detection-python-

This project is a Spam Detection System built using Python. It classifies SMS messages as spam or ham (not spam) using machine learning techniques.

countvectorizer kaggle-dataset nlp-machine-learning nltk numpy pandas python scikit-learn supervised-machine-learning tf-idf

Last synced: 01 May 2026

https://github.com/muhammadadilnaeem/bcg-data-science-job-simulation-on-forage-august-2024

This repository contains all the tasks, code, and documentation completed during the BCG Data Science job simulation on The Forage platform. The simulation focused on analyzing customer churn, building predictive models, and presenting insights for a major utility company.

bcg customer-churn-prediction-with-machine-learning data data-science forage numpy pandas

Last synced: 01 May 2026

https://github.com/rgandhi8/inventory-management-system

This project is an AI-driven Inventory Management System designed to optimize supply chain efficiency by leveraging machine learning techniques for demand forecasting. The system integrates ARIMA and ANNs to predict inventory needs, minimize shortages, and reduce holding costs also enhances decision-making by automating inventory planning.

dashboard inventory-management-system machine-learning numpy pandas python seaborn

Last synced: 08 Jun 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/ducha-aiki/laf2ell

Utils for LAF to ellipse and back conversion. Also function for drawing LAFs.

ellipse laf local-features numpy visualization

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/voidkeishi/computational-science

This repository contains implementations of algorithms from the course "Computational Science" at HUST

computational-science numpy python

Last synced: 02 May 2026

https://github.com/lipskiyp/trading_dashboard

Pandas framework to analyze financial time-series and calculate various performance metrics (e.g. Sharpe Ratio and Max Drawdown Duration).

financial-analysis numpy pandas

Last synced: 02 May 2026

https://github.com/parham1998/linear_regression_pytorch

Implementation of a simple Linear Regression model with Numpy & PyTorch library

backpropagation gradient-descent linear-regression loss-functions numpy python pytorch

Last synced: 02 May 2026

https://github.com/shriansh8619/eda_customer_behavior

This project analyzes Nielsen transaction data using Python to uncover sales trends, customer preferences, and purchasing patterns. It provides insights to optimize inventory, create targeted promotions, and improve store performance. The goal is to help supermarkets enhance strategies and boost profitability based on data-driven insights

matplotlib numpy pandas python seaborn

Last synced: 16 Apr 2026

https://github.com/bishopce16/school_district_analysis

The school board requested an analysis on the various performance metrics for the school district.

data-analysis jupyter-notebook numpy pandas python visual-studio-code

Last synced: 16 Apr 2026

https://github.com/jay6430/python-for-data-science

This Repository includes all the Python concepts that are necessary for Data science.

csv data-visualization datascience-machinelearning html-css ipynb-jupyter-notebook matplotlib numpy pandas python3 xml

Last synced: 04 Mar 2026

https://github.com/eckelsjd/copier-numpy

Template for a numpy-based scientific computing Python package.

copier-template numpy pdm python

Last synced: 05 Mar 2026

https://github.com/sundanc/besthousefinder

A Streamlit web application that helps users find the best house based on their preferences.

numpy pandas prediction python streamlit

Last synced: 17 Apr 2026

https://github.com/kunalkumar2001/data-analyst-python-and-its-library

Python (Basics to Advance) and Its Library for Data Analyst

dataanalyst matplotlib numpy pandas python seaborn

Last synced: 17 Apr 2026

https://github.com/hansalemaos/npchessimage

Creates a chessboard pattern as an image.

chessboard cv2 image numpy

Last synced: 05 Mar 2026

https://github.com/gautam-cs/data_science

In this project, I was trying to get most of the relevent information of the data using library like numpy, pandas. I have worked on data like aadhar data, Olympics data

aadhar-data csv data-science json numpy olympics-data pandas python35

Last synced: 17 Apr 2026

https://github.com/syedzaheerabbas/risk-analytics-with-python

This project focuses on developing a basic understanding of risk analytics in banking and financial services and understand how data is used to minimize the risk of losing money while lending to customers.

eda hypothesis-testing numpy pandas python risk-analysis seaborn

Last synced: 17 Apr 2026

https://github.com/yanxue06/housing-price-predictor

Python-based California housing price predictor

jupyter numpy pandas python seaborn

Last synced: 06 Mar 2026

https://github.com/vaishnavis03/finlatics_ml_program

This repository contains the .ipynb files for 3 datasets, along with a PPT for each. The datasets included are Facebook Marketplace Data, Sales Prediction Data, and Wine Quality data.

correlation data-analysis data-science data-visualization knn linear-regression machine-learning matplotlib numpy pandas random-forest-classifier scikit-learn

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/kodemartin/np-pd-portfolio

Portfolio of numpy, pandas, and matplotlib solutions

matplotlib numpy pandas

Last synced: 17 Apr 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/psavarmattas/speechtotext

we shall build a very simple speech recognition system that takes our voice as input and produces the corresponding text by hearing the input.

facebook-api ipython librosa machine-learning numpy python pytorch soundfile transformers

Last synced: 02 Apr 2026

https://github.com/esraamhmd/intelligent-skin-cancer-image-based-detection-models

This project combines traditional machine learning approaches with advanced deep learning techniques to assist healthcare professionals in early diagnosis and improve patient outcomes.

ai deep-learning ham10000 isic kaggle machine-learning matplotlib numpy pandas python3 pytorch seaborn skin-cancer skin-detection sklearn time torchvision tqdm

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/akshitvats026/heart_disease_prediction

An ML-based Heart Disease Prediction System that predicts the likelihood of heart disease based on user health parameters. Built using Python, Pandas, and Scikit-learn, the system performs data preprocessing, trains a predictive model, and provides real-time predictions with high accuracy.

accuracy-score logistic-regression machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/satyas567/weatherdataanalysis

Comprehensive Weather Data Analysis with Python: Explore trends, visualize patterns, detect outliers, and predict temperature using humidity and wind speed

jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/amanimagdi/data-flux-fullstack

This repository is for a full stack application provides in-depth analysis and manipulation of various data types (tabular data, RGB images and textual data), Flask on BE and ReactJs on FE.

flask javascript numpy pandas python reactjs tailwindcss

Last synced: 02 Apr 2026

https://github.com/davityak03/basics-of-python-

In this we have done multiple programs in python so as to develop the basic skill sets in python

array dictionary lists matrix numpy pandas programming python sets

Last synced: 02 Apr 2026

https://github.com/loong64/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

autograd deep-learning gpu loong64 loongarch64 machine-learning neural-network numpy python tensor

Last synced: 02 Apr 2026

https://github.com/niteshchawla/clustering-ml

Analyzing the vast data of learners can uncover patterns in their professional backgrounds and preferences. Allowing Scaler to make tailored content recommendations and provide specialized mentorship.

cluster-analysis clustering hierarchical-clustering k-means-clustering machine-learning numpy pca-analysis visualisation

Last synced: 17 Apr 2026

https://github.com/ledsouza/curso_de_estatistica_parte_4

Projeto de estatística para estudo de correlação e regressão

data-science data-visualization numpy pandas seaborn statsmodels vitrinedev

Last synced: 17 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/prashver/end-to-end-model-deployment-on-aws

Student Performance Analysis with Machine Learning analyzes factors impacting student outcomes using a robust machine learning pipeline. Achieving an impressive R2 score, it predicts student performance effectively. With extensive data preprocessing and deployment on AWS Elastic Beanstalk, it ensures scalability and high availability.

amazon-web-services aws-elastic-beanstalk end-to-end-deployment flask machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn

Last synced: 02 Apr 2026

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

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

matplotlib numpy pandas python scikit-learn

Last synced: 02 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/cosmicsid004/air_draw

Digital drawing....

handtracking mediapipe numpy opencv

Last synced: 30 Apr 2026

https://github.com/tharushi11/titanic-data-analysis

This repository contains a simple prediction model and survival predictions based on the Titanic dataset from Kaggle, along with detailed visualizations using Power BI.

dax machine-learning numpy pandas powerbi sklearn titanic-survival-prediction visualization

Last synced: 17 Apr 2026

https://github.com/nikhilgugwad/sentiment-analysis

Sentiment analysis for the Kannada language to classify Kannada sentences into different emotions.

numpy pandas scikit-learn

Last synced: 17 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/nikhilsree5/aerofitcasestudy

Customer Profiling and Market Segmentation for AeroFit Treadmills: A Data-Driven Approach

customerprofile eda numpy pandas python visualization

Last synced: 17 Apr 2026

https://github.com/theakashshukla/diabetes-prediction

Diabetes Prediction using futuristic tool

ai jupiter-notebook ml numpy pandas sklearn

Last synced: 17 Apr 2026

https://github.com/khushi130404/binning-binarization

This project demonstrates binning and binarization on the Titanic dataset, comparing results with and without numeric encoding. Visualizations highlight the transformations and their impact on survival analysis.

binarization binarizer binning columntransformer decision-trees matplotlib numpy pandas

Last synced: 17 Apr 2026

https://github.com/hansalemaos/npfastsortcpp

Sorts int/float 4x faster than numpy by using parallel_sort from C++ (Windows only)

cpp fast numpy python sort

Last synced: 17 Apr 2026

https://github.com/mgitrov/cnn-on-cifar-10

A computer vision project aiming to classify random images uploaded by the user.

artificial-neural-networks computer-vision convolutional-neural-networks deep-learning keras matplotlib numpy pil regularization tkinter

Last synced: 17 Apr 2026

https://github.com/mugambi645/classify-song-genre-from-audio-data

Classify song genres using supervised learning models & PCA for dimensiality reduction

decision-tree-classifier logistic-regression numpy pandas pca-analysis

Last synced: 17 Apr 2026

https://github.com/mnitin-reddy/content-based-recommendation-system-using-deep-learning

A content-based movie recommendation system using deep learning to predict user ratings by leveraging user and movie features. The system integrates neural networks for feature extraction, utility scripts for data processing, and supports both new and existing user recommendations.

deep-learning keras neural-networks numpy pandas python scikit-learn tensorflow

Last synced: 03 Apr 2026

https://github.com/rosieoh/emergency_dataanalysis

오픈데이터분석-응급의료체계 방안 정책 제안 데이터 분석

ipython matplotlib numpy pandas python scikit-learn scipy

Last synced: 04 Apr 2026

https://github.com/neetigyab/pdf_form_parser

Older Test version of designated PDFReader project

excel forms matplotlib numpy ocr opencv pandas pdf pdf-converter pdfplumber pytesseract python

Last synced: 17 Apr 2026

https://github.com/varakanthamsaihruthikreddy975/champo_carpets_case_analysis_python

the champo carpets case study Analysis in python, this is still under development this will be a more comprehensive analysis than previous one in R. I have the complete version of code in R refer to this link - ( https://github.com/VarakanthamSaiHruthikReddy975/Champo_Carpets_Case_Study_Analysis)

case-analysis jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python3 seaborn

Last synced: 17 Apr 2026

https://github.com/datamallo/python101

The ressources you need to learn or get better in Python. Covering the basics of Python3, NumPy and Pandas for

numpy pandas python3

Last synced: 18 Apr 2026

https://github.com/jinhx128/data_analysis

基于Matplotlib+Numpy+Pandas搭建的数据分析项目。

matpolotlib numpy pandas python

Last synced: 18 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/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/27ahmad/movie-recommendation-system

Welcome to the Movie Recommendation System! This project uses Streamlit to provide personalized movie recommendations based on user preferences and similarity.

movie-recommendation numpy pandas python scikit-learn

Last synced: 04 Apr 2026

https://github.com/yassin522/music-genre-classification

This repository is dedicated to the Music Genre Classification project, an endeavor that leverages machine learning techniques to accurately classify music into various genres

catboost matplotlib numpy pandas python sklearn

Last synced: 04 Apr 2026

https://github.com/jass024/bitcoin-historical-analysis

Performed comprehensive time-series analysis on 14+ years of Bitcoin historical data using Python (Pandas, NumPy, Plotly). Calculated key technical indicators (SMA, EMA, RSI, volatility) to identify market trends, potential anomalies, and areas of regulatory concern. Visualized results using interactive Plotly charts.

numpy pandas python-3

Last synced: 18 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/awanraskall/retail-demand-analysis

Data analysis of retail meal orders, fulfillment centers, and product demand using Python

data-analysis data-visualization jupyter-notebook numpy pandas python

Last synced: 18 Apr 2026

https://github.com/bvsam/nnfs

Basic neural network built using Python and Numpy. Created to better understand neural networks.

artificial-intelligence deep-learning machine-learning neural-network neural-networks numpy python3

Last synced: 18 Apr 2026

https://github.com/kasraskari/python-for-data-science

Foundational concepts and libraries for data science with Python.

data-science jupyter-notebook matplotlib numpy pandas python scipy

Last synced: 04 Apr 2026

https://github.com/gregoritsch3/ml_clustering_eda_customersegmentation

An EDA and Machine Learning Clustering exercise on the Mall Customer Segmentation synthetic dataset demonstrating the use of KMeans Clustering and the Elbow Method. The clustering algorithm successfully segments the customer base into groups distinguishable by their annual income and spending score.

clustering kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn

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/mnitin-reddy/a-b-testing-and-regression-analysis-for-ad-performance-optimization

Analyzed the performance of Facebook and AdWords ads using A/B testing and regression analysis to identify trends, correlations, and cost-effectiveness. Key insights included distribution of clicks and conversions, monthly trends, and cost-per-conversion analysis to optimize ROI.

abtesting data-science hypothesis-testing machine-learning matplotlib numpy pandas scikit-learn scipy seaborn statsmodels

Last synced: 04 Apr 2026

https://github.com/yasinefeee/parkspotter_pretest_enviroment

The ParkSpotter project is designed to detect the occupancy status of parking spots in a simulation environment. Using a toy model, a camera system, and a machine learning model, this system identifies whether a parking space is EMPTY or NOT EMPTY in real-time.

ai-systems classifier computer-vision cv2 numpy opencv parking-spot-detection parking-spots python sckit-image sckit-learn simulation-environment svm svm-classifier

Last synced: 18 Apr 2026

https://github.com/hansalemaos/group_by_continuous_sequence

Groups lists/NumPy arrays by continuous sequence

group list numpy python

Last synced: 19 Feb 2026

https://github.com/sultanazhari/decisive-model-with-high-profit-potential-and-low-risk

OilyGiant mining company finding the best place for 200 new well points, As an Data Scientist we're creating a model who can choose the best 200 point by profit and risk.

accuracy-score chi2-contingency confusion-matrix logistic-regression matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn

Last synced: 18 Apr 2026

https://github.com/micmurawski/cloud-array

cloud-array is an open-source Python library for storing and streaming large Numpy Arrays on local file systems and major cloud proviers CDNs.

aws azure big-data bigarray blob-storage cloud data-structures digitalocean-spaces gcp gcp-cloud-storage ibm-cloud-object-storage numpy s3 stream-processing streaming zadara

Last synced: 12 Aug 2025

https://github.com/sanchariii/health-assist-1

Health Assist web app uses the Streamlit framework to help users identify potential diseases. Simply input your symptoms, and the system will predict whether you have diabetes, heart disease, or Parkinson's disease. The system is designed to be quick and convenient, promoting early detection and timely medical intervention.

numpy pandas pickle streamlit-webapp svm-model

Last synced: 13 Aug 2025

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/mani-prakash-n-r/book_recommendation_system_using_hybrid_technique

The Book Recommendation System uses collaborative and content filtering techniques to suggest books based on user preferences and content similarity.

csv html numpy pandas python sckiit-learn

Last synced: 09 Apr 2026

https://github.com/shoaib1522/credit-card-fraud-analysis

"A comprehensive project on Credit Card Fraud Detection combining Exploratory Data Analysis, Machine Learning, and an interactive Streamlit web app for real-world applicability."

eda epochs mlp-classifier neural-network numpy pandas-python perceptron-learning-algorithm python regression sckiit-learn seaborn streamlit streamlit-webapp tensorflow

Last synced: 09 Apr 2026