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/nischalkshaj/image-identification

This is a repository for AI image training for beginners.

express mongodb node numpy pillow python3 pytorch reactjs

Last synced: 09 Apr 2026

https://github.com/vyjayanthipolapragada/human_detection_hog

Detect humans in real-time, image or video and count the detected people using OpenCV and HOG Descriptor

computer-vision easygui hog-descriptor human-detection image-processing imutils numpy opencv os python support-vector-machine

Last synced: 06 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/biasandrade/rede-neural-do-zero-classificacao-binaria

🧠 Rede Neural Artificial construída do ZERO (só NumPy) para detectar fraudes em transações | Forward/Backward Propagation | Sigmoid | Gradiente Descendente

backpropagation binary-classification deep-learning fraud-detection from-scratch gradient-descent machine-learning neural-network numpy python

Last synced: 18 Nov 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/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/faizantkhan/numpy

NumPy Practice Repository Dive into the world of numerical computing with our collection of NumPy exercises. Perfect for beginners and seasoned programmers alike, this repository offers a range of challenges to sharpen your array manipulation and data analysis skills.

data-science library machine-learning numpy numpy-arrays numpy-library numpy-python outlier outlier-detection python pythonlibrarires tutorial

Last synced: 21 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/mashalk1/computer-vision-attendance-system

A computer vision based attendance system, using cv2, firebase, numpy, cvzone and face_recognition library in python

computer-vision cv2 cvzone face-recognition numpy

Last synced: 04 Feb 2026

https://github.com/eljandoubi/trading-with-momentum

A trading strategy based on a momentum indicator.

momentum numpy pandas scipy trading trading-algorithms trading-strategies

Last synced: 05 May 2026

https://github.com/sultanazhari/the-effect-of-weather-on-travel-frequency

Zuber Company need to know passenger preferences and external effect on the trip. As an Data Analyst we're provide actual data who has affect on travel frequency.

matplotlib-pyplot numpy python3 scipy seaborn

Last synced: 03 Aug 2025

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/pramodyasahan/model-selection

This repository explores and compares different regression models for predicting continuous outcomes. This repository includes implementations and evaluations of five key regression models. The primary goal is to demonstrate how each model works, evaluate their performance using R-squared values, and guide users in selecting the best model.

machine-learning modelselection numpy pandas python regression scikit-learn

Last synced: 08 Mar 2025

https://github.com/kasraskari/tumor-predict

Streamlit app for predicting tumor malignancy using logistic regression.

logistic-regression machine-learning numpy pandas python scikit-learn streamlit tumor-detection

Last synced: 09 Apr 2026

https://github.com/asuquoaa/big_4_sports_teams_and_city_population_analysis-2018-

Analysis of sports teams' win/loss ratios vs. metro area populations across NFL, NBA, MLB, and NHL.

data-cleaning-and-preprocessing numpy pandas

Last synced: 13 May 2026

https://github.com/ashishsingh789/bcg_virtual_internship

This repository showcases my BCG X virtual internship project on customer churn analysis for PowerCo, covering business understanding, EDA, feature engineering, and modeling using Python and machine learning.

data-manipulation data-science dataanalysis datavisualization eda machine-learning matplotlib numpy pandas python random-forest scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/farial-mahmod/nuclear-energy-generation-prediction-logistic-regression

Nuclear Energy Generation Prediction Logistic Regression project is aimed at predicting the nuclear energy generation based on the production (generation) data from 1991 to 2023 by using Logistic Regression.

energy kaggle logistic-regression machine-learning matplotlib nuclear-energy nuclear-power numpy power python3 sklearn

Last synced: 05 May 2026

https://github.com/matheusafonseca/c111

Este repositório é dedicado ao armazenamento e organização dos códigos desenvolvidos na disciplina C111 - Análise de Dados, oferecida pelo Instituto Nacional de Telecomunicações (INATEL).

data-analysis matplotlib numpy pandas python

Last synced: 06 May 2026

https://github.com/akshatkmistry/parkinsons_disease_predictor-voice_measures

This project implements a machine learning system to detect Parkinson's disease using voice measurements. The application uses a Random Forest classifier trained on voice feature data to predict the likelihood of Parkinson's disease with high accuracy (94%).

machine-learning matplotlib numpy pandas random-forest-classifier seaborn sklearn streamlit

Last synced: 09 Apr 2026

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

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

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

Last synced: 09 Apr 2026

https://github.com/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/tolumie/exploratory-data-analytics-projects

Exploratory Data Analytics – A collection of projects covering data exploration, feature engineering, hypothesis testing, and predictive modeling across diverse datasets, including insurance, real estate, laptops, cars, COVID-19, and the Olympics.

data-analysis data-visualization data-wrangling exploratory-data-analysis-eda feature-engineering hypothesis-testing machine-learning matplotlib numpy pandas predictive-modeling python seaborn statistical-analysis

Last synced: 11 Apr 2026

https://github.com/hitthecodelabs/weatherforecast-lstm

TensorFlow and Python for analyzing and forecasting weather data

cnn keras lstm matplotlib numpy pandas python tensorflow weather weather-forecast

Last synced: 11 Apr 2026

https://github.com/mairagalvao/final_grades

An analysis of the final grades of students using Python

matplotlib numpy pandas python3

Last synced: 09 May 2026

https://github.com/badranalyst/residential-unit-prices-data-analysis-application

Python-based analysis of residential unit prices, focusing on data cleaning, visualization, and exploratory data analysis (EDA). Key features include price distribution, and correlation analysis between factors like size, location, and pricing.

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

Last synced: 05 May 2026

https://github.com/lc-rezende/eqx_boston_dataset

Exploratory data analysis, clustering, and forecasting on Boston crime data (2011-2015), revealing key crime trends, hotspots, and temporal patterns to support data-driven insights for urban safety and policing strategies.

data-analysis exploratory-data-analysis jupyter-notebook kmeans matplotlib numpy pandas prophet-facebook python scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/lmlk-seal/pyspeed

Intelligent Python Performance Optimization Tool Automatically profile, analyze, and accelerate your Python code with minimal effort.

analyzer customtkinter gui intelligent numpy optimization optimization-tools performance python real-world-problem-solving

Last synced: 23 Jun 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/azaz9026/eda

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

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

Last synced: 15 Apr 2026

https://github.com/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/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/elijahondiek/data-analysis-udacity

Udacity Data Analysis Nano Degree course resources

jupyter-notebook matplotlib numpy pandas python

Last synced: 05 May 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/lruizap/tomography-with-algebraic-topology

This project aims to analyze images using algebraic topology. The goal is to extract structural information from images through mathematical concepts such as connected components and loops.

gudhi jupyter-notebook matplotlib numpy opencv python tomography

Last synced: 05 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/michaelzheng67/real_estate_ml

AI experiment developed to run against simulated real estate and investing environment

ai numpy python pytorch

Last synced: 09 May 2026

https://github.com/magnitopic/ft-linear-regression

Your first implementation of a machine learning algorithm. Predicting the price of a car by it's milage

42school ai ai-algorithm ft-linear-regression linear-regression machine-learning matplotlib numpy pandas prediction-algorithm python

Last synced: 16 Apr 2026

https://github.com/carol-neto/sprint-4-statistical-data-analysis

In this project I had the opportunity to test my knowledge by analyzing a phone plan and creating graphs to compare the plans and determine which ones generate the most revenue.

matplotlib-pyplot numpy pandas pytho scipy-stats seaborn statistical-analysis

Last synced: 09 May 2026

https://github.com/caioandrian/data-analyst-procon

Análise dos dados do Procon, período de 2013 à 2016.

dataset numpy pandas python

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/mohitsai/boston-housing-data-analysis

Data Analysis Project for the City of Boston Government for insights into effect of property rennovations and remodelling on housing availability in the city

data-analysis data-science matplotlib numpy pandas python

Last synced: 05 May 2026

https://github.com/saif-gitreps/face-mask-detection

A CNN classification model scoring 94% accuracy built from scratch using a dataset that detects if an image of a person has Mask on.

cnn-classification image-classification image-processing kaggle keras numpy pandas

Last synced: 09 Apr 2026

https://github.com/sakhileln/multimodal-chatbot-with-memory

A lightweight, CLI-based conversational agent that processes text and image inputs, remembers past interactions.

chatbot machine-learning nlp numpy opencv spacy tensorflow

Last synced: 11 Apr 2026

https://github.com/wasifsohail5/virtual_mouse

Virtual Mouse is an AI-powered, gesture-based control system that replaces traditional peripherals with hand movements. Using MediaPipe for hand tracking and PyAutoGUI for cursor control, it enables seamless clicking, scrolling, and navigation through simple gestures. Experience a futuristic, touchless interaction with your PC! 🚀🖱️

cv2 mediapipe mediapipe-hands numpy opencv pyautogui python

Last synced: 02 Aug 2025

https://github.com/dharma-acha/resnet18_imageclassification_cnn

In this part of the project, we implement ResNet-18 from scratch using PyTorch and train it on an image dataset to achieve over 75% accuracy. We apply techniques to prevent overfitting and optimize performance, aiming for an accuracy of 80% or higher.

matplotlib numpy python3 pytorch scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/himanshigautam-rgb/python_libraries

This repository contains operations in Matplotlib for data visualization, NumPy for numerical computations, and Pandas for data manipulation and analysis. These libraries work together to efficiently process, analyze, and visualize data.

matplotlib numpy pandas python3

Last synced: 05 May 2026

https://github.com/kumartusha/Data_Scientist-AI-ML-_Training_Anudip_Foundation

Anudip Foundation Data Analytics Training 📊 A repository containing projects, assignments, and coursework from the Anudip Foundation Data Analytics training program. This includes work on: 🧹 Data Cleaning & Preprocessing 📉 Data Visualization & EDA 📊 Statistical Analysis

excel matplotlib numpy pandas powerbi python scipy sql

Last synced: 27 Sep 2025

https://github.com/bagusperdanay7/fcc-da-mean-variance-standard-deviation-calculator

One of Data Analysis with Python (freecodecamp) task, created a Mean Variance Standard Deviation Calculator.

data-analysis freecodecamp-project numpy python

Last synced: 06 May 2026

https://github.com/snghrsw/kikagaku-ml-learning

Pythonで単回帰分析と重回帰分析、ディープラーニングで回帰と分類

liner-regestion multiple-regression numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/batrick-swaistan/nalaiya_thiran

Nalaiya Thiran IBM Course Training

matplotlib numpy pandas-dataframe python

Last synced: 05 May 2026

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

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

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

Last synced: 26 Sep 2025

https://github.com/manishkumarpatel07/heartattack_risk_prediction

"Heart Attack Risk Prediction" uses machine learning to estimate the likelihood of a heart attack based on user-provided data like physical attributes, symptoms, and medical history. This system enables remote screening, identifying high-risk individuals, and easing medical system burdens by providing early, data-driven health risk assessments.

boruta knn-algorithm matplotlib numpy pandas python scikit-learn

Last synced: 09 Apr 2026

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

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

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

Last synced: 09 Apr 2026

https://github.com/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/nahiyanhkhan/stock-market-data-analysis_capstone-project

In this course, learned and solved assignments on SQL and Python. Final capstone project was on analyzing "Stock Market Data". Achieved 100% score in every assignment.

data-analysis data-analytics matplotlib mysql mysql-database numpy pandas python sql

Last synced: 09 Apr 2026

https://github.com/pramodyasahan/cifar-10-object-recognition

This repository contains a TensorFlow-based image classification model designed to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset comprises 60,000 32x32 color images in 10 classes, with 6,000 images per class.

convolutional-neural-networks numpy python tensorflow

Last synced: 05 May 2026

https://github.com/batthulavinay/which-anime-dominates-the-world

This Kaggle notebook analyzes the global popularity of anime across different countries. Using data visualization and statistical insights, we explore which anime dominate in various regions and uncover trends in global anime consumption.

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

Last synced: 24 Mar 2025

https://github.com/iwitaly/aws-lambda-docker-builder

Docker image for building packages for AWS Lambda with Python environment

aws aws-lambda docker docker-image numpy python python3

Last synced: 09 Apr 2026

https://github.com/nikhil-donthusaram/heartdiseaseprediction

Heart Disease Prediction App is a machine learning web application that predicts the likelihood of heart disease based on user medical inputs. Built using a Decision Tree Classifier and deployed with Streamlit for an interactive, user-friendly interface.

data-analysis descision-tree joblib jupyter-notebook machine-learning matplotlib numpy pandas python3 seaborn sklearn streamlit vscode

Last synced: 11 Apr 2026

https://github.com/gitluffywd/advanced_video_stabilization_and_roi_pixel_analysis

This repository offers tools for advanced video stabilization and pixel analysis, enhancing your video processing capabilities. Explore features like optical flow tracking and ROI selection to dive deeper into your video data. 🛠️🎥

data-structures debugging english-language git github html markdown numpy opencv project-management python

Last synced: 20 Jan 2026

https://github.com/estaheri7/dotawinpredictor

This project aims to predict the outcome of Dota 2 matches based on the heroes picked by both the Radiant and Dire teams

data-science dota2 machine-learning numpy pandas python random-forest sklearn support-vector-machines

Last synced: 09 Mar 2026

https://github.com/pb319/california_house-price-prediction

This is going to be my first end to end ML project implementation covering all required stages taking guidence from book called "Hands On Machine Learning".

evaluation-metrics hyperparameter-tuning jupyter-notebook kfold-cross-validation machine-learning matplotlib numpy pandas python scikit-learn seaborn train-test-split

Last synced: 11 Apr 2026

https://github.com/aathira2001/python-basics

Basic Python concepts with examples

functions numpy pandas python variables

Last synced: 05 May 2026

https://github.com/muthupillai1204/diwali_sales_analysis

The Diwali sales analysis reviews past data to identify trends, peak buying times, popular products, and customer demographics. It assesses sales volume, revenue growth, and promotional effectiveness, helping businesses optimize marketing and inventory for future seasons.

data datacleaning eda excel jupyter-notebook matlplotlib numpy pandas python seaborn visualization

Last synced: 05 May 2026

https://github.com/lefteris-souflas/modern-slavery-analysis

Jupyter notebook using machine learning techniques to explore the complex drivers of modern slavery. Models from a research paper are replicated and evaluated . Actions also include filling missing data, training regression models, and analyzing feature importance.

decision-tree feature-importance grid-search-cv imputation jupyter-notebook lasso-regression linear-regression matplotlib mean-absolute-error numpy pandas preprocessing principal-component-analysis python3 random-forest ridge-regression scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/nauxqouh/python-for-data-science-labs

This repo contains weekly practical codes for my Python for Data Science course at university.

data-science jupyter-notebook numpy pandas python pytorch scikit-learn

Last synced: 11 Apr 2026

https://github.com/mrmalik2512/catsvsdog.github.io

A CNN model integrated with flask backend the project is trained on image data of dogs and cats and integrated with a website predicts the given image is dog or a cat

deep-learning numpy python scikit-learn tensorflow

Last synced: 09 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/niteshchawla/aerofit-casestudy

The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.

matplotlib-pyplot numpy pandas probability python seaborn statistics

Last synced: 09 Apr 2026

https://github.com/coderjolly/employee-information-retrieval-system

An information retrieval system constructed using Flask to perform ETL operations while ingesting New York Payroll data and provide a frontend user interface for manipulating filters and queries.

etl flask mvc numpy pandas python sqlite3

Last synced: 11 Apr 2026

https://github.com/nandinimarepalli/ai_ml_internship_projects

Projects completed during my AI/ML and Data Expert internship, including EDA, machine learning models, and dashboard development using Python, pandas, scikit-learn, and visualization libraries.

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 05 May 2026