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/sharkb8t/credit-risk-classification

Demonstrates my abilities to use Jupyter Notebook with scikit-learn to train and evaluate a machine learning model.

jupyter-notebook numpy pandas pathlib python scikit-learn

Last synced: 15 Apr 2026

https://github.com/suhas-005/jovian-data-analysis-course-assignment

These are my assignments for Data Analysis : Zero to Pandas course by Jovian.ai

data-analysis data-analytics numpy pandas python

Last synced: 07 May 2026

https://github.com/r-papso/pynet

Deep learning library implemented in Python

deep-learning machine-learning neural-network numpy python

Last synced: 26 Feb 2026

https://github.com/abhi227070/wine-quality-prediction

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

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

Last synced: 11 Apr 2026

https://github.com/amruta33/bike_sharing

Building ML model for Bike sharing

linear-regression matplotlib numpy pandas python3 seaborn

Last synced: 07 May 2026

https://github.com/giihcastro/trabalho-fisica

3D VPython Electromagnetic Particle Motion Simulator

numpy python vpython

Last synced: 15 Apr 2026

https://github.com/bursasha/pandas-numpy-matplotlib-cavies-analysis

Complete statistical analysis of cavy lifetime dataset using Python, Pandas, NumPy, Matplotlib, and SciPy to explore, visualize, and infer the impact of bacilli infection on cavy lifetimes 🦫

cavy dataset-analysis distribution-fitting hypothesis-testing jupyter-notebook matplotlib numpy pandas python-analysis scipy statistical-analysis statistical-methods

Last synced: 09 Feb 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/hansalemaos/all_against_all

Each item of a list against all others

list numpy

Last synced: 02 Apr 2026

https://github.com/theamnabb/my-ai-brain

A complete, structured AI learning journey from scratch to advanced. Includes daily logs, mini projects, roadmaps, and useful resources for Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.

matplotlib numpy pandas pyhton3

Last synced: 07 May 2026

https://github.com/murugavl/forage_tata_genai_powered_data_analytics

This repository showcases my work from the TATA GenAI Powered Data Analytics Virtual Experience on Forage, where I applied data cleaning, analysis, and visualization techniques to derive actionable business insights.

excel genai matplotlib numpy pandas powerbi python

Last synced: 09 Feb 2026

https://github.com/carterbox/libimage

Provides large (2k) test images as NumPy arrays.

images numpy python

Last synced: 15 Apr 2026

https://github.com/gkannan-codes/habitableexos

With Earth’s habitability under strain, we ask: which known exoplanets could humans live on? Using NASA’s Exoplanet Archive, we score planets 0–1 (1 ≈ Earth) from five Earth-normalized features to rank top candidates.

data html kaggle matplotlib-pyplot numpy pandas plotly python seaborn visualization

Last synced: 11 Apr 2026

https://github.com/baschin1103/neural-network-building-in-python

In this repository is a programm with a pretrained artificial neural network from Building AI. The network predicts the price of a cabin based on it's attributes.

bias building-ai forward-pass functioning identity linear-combinations neural-network numpy python regression relu

Last synced: 16 Apr 2026

https://github.com/jonad/chicago_crime_analysis

Exploratory data analysis on Chicago Crime dataset.

jupyter-notebook matplotlib numpy pandas python3

Last synced: 07 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/foggysmile/ml_labs_itmo

Лабораторные работы по машинному обучению

bert decision-trees jupyter-notebook machine-learning numpy pandas random-forest xgboost

Last synced: 11 Feb 2026

https://github.com/puureya2/catalogue-price-scraper

Scrape & store product prices with Selenium & BeautifulSoup4. Visually represent data with MatPlotLib,Personal Project

beatifulsoup4 chrome-webdriver matplotlib numpy pandas python python-csv selenium webscraping

Last synced: 16 Apr 2026

https://github.com/khinthandarkyaw98/python_for_engineers

This particular Python notebook is designed to provide Engineers with an opportunity to practice scientific computations.

engineering numpy python scientific-computing youtube

Last synced: 16 Apr 2026

https://github.com/s-hirata0831/graphicsprocessing

Pythonによる画像処理基礎実験(with OpenCV)

numpy opencv python

Last synced: 07 May 2026

https://github.com/mindkerchief/baselineml

A collection of machine learning task performed during my studies in computer science major in intelligent system.

decision-tree dummy gaussian-mixture-models kmeans-clustering linear-regression logistic-regression machine-learning matplotlib numpy pandas random-forest scikit-learn seaborn tensorflow

Last synced: 16 Apr 2026

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

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

ai machine-learning numpy pandas tensorflow

Last synced: 11 Apr 2026

https://github.com/chaudharypraveen98/lungcancerdetection

To distribute the work of doctors and process the large amount of data to produce accurate results on the go

numpy pandas pillow python scipy tenserflow

Last synced: 16 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/ayushmankumar7/siamese-network-with-one-shot-learning

Implementation of this paper - https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf

numpy tensorflow tf-keras

Last synced: 07 May 2026

https://github.com/hansalemaos/np_asciiart

Ascii art with numpy

ascii numpy opencv python

Last synced: 16 Apr 2026

https://github.com/bharatsharma07/ipl-analysis

This project provides insights into the IPL's historical data, helping to identify trends, player performance, and team strategies.

data-visualization ipl-data-analysis numpy pandas python

Last synced: 16 Apr 2026

https://github.com/shakhthi/mlproject

This project is an end-to-end ML solution that predicts math scores from student attributes. It starts with ingesting and preprocessing data, followed by feature engineering to pinpoint key predictors. A robust model is then trained and fine-tuned before being seamlessly deployed to deliver real-time predictions.

jupyter-notebook matplotlib-pyplot numpy pandas python3 seaborn sklearn

Last synced: 16 Apr 2026

https://github.com/pointer2alvee/machine-learning-algorithms-scratch

Core Machine Learning concepts , algorithms & maths implemented completely from scratch using Python & numpy only.

machine-learning-algorithms numpy pandas probabilistic-machine-learning python statistical-models

Last synced: 07 May 2026

https://github.com/4211421036/githubiotpy

GitHubIoT is a comprehensive toolkit designed to simplify the visualization of IoT (Internet of Things) data with seamless GitHub integration. The application provides an intuitive graphical interface for real-time data monitoring, analysis, and configuration

cli esp32 esp8266 github-actions github-iot matplotlib numpy pypi-packages python tkinter

Last synced: 16 Apr 2025

https://github.com/arserchung/ml_cnn

Basis CNN intro& project of recognize to cat or dog

glob keras keras-models numpy opencv os sklearn tensorflow

Last synced: 13 Feb 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/separatrixxx/nm_labs_6_7_sem

👓 Laboratory work for 6 and 7 semesters of MAI on numerical methods

numerical-methods numpy python

Last synced: 16 Apr 2026

https://github.com/islamshahil/neuralnetworks

Hello World to Neural Network.

deeplearning neural-network numpy python

Last synced: 16 Apr 2026

https://github.com/rakesh3596/tutedude_projects

It consist of 3 major project 1:Covid19 Analysis 2:Rainfall Prediction 3:Tumor Detection

csv-files matplotlib numpy pandas plotly python sklearn-library

Last synced: 16 Apr 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/guru-bharadwaj20/saliency-maps

A saliency-guided autonomous driving system using cmSalGAN heatmaps, a custom Fusion model, and Faster R-CNN detection. It generates refined saliency maps, trains a saliency-aware detector, and simulates vehicle navigation using datasets like NJUD, NLPR, and STEREO.

cmsalgan numpy opencv python pytorch torchvision

Last synced: 18 Nov 2025

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/mattia-hulathduwage/wine-quality-analyzer

A machine learning project that analyzes wine quality using clustering, regression, and classification techniques. The model predicts wine quality scores based on chemical properties and determines the most influential features affecting quality.

machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 16 Apr 2026

https://github.com/salvatoreamaddio/powerbi

This project combines both Python and PowerBI technologies. It cleans a dataset and imports it into a PowerBI file.

numpy pandas pandas-python powerbi python

Last synced: 07 May 2026

https://github.com/pavanreddy565/infosys_python_for_datascience

Data Science Course Tasks Repository This repository contains tasks and projects completed during the Data Science course from Infosys Springboard. It includes setup instructions for running Jupyter Notebook sessions in a virtual environment.

matplotlib numpy pandas

Last synced: 29 Apr 2026

https://github.com/killervardhan8/gesturedecode

The Sign Language Interpretation project focuses on recognizing and interpreting hand gestures to facilitate communication for individuals who use sign language. This project leverages computer vision and machine learning techniques to accurately identify and translate hand signs into text

csv mediapipe numpy python tensorflow

Last synced: 28 Feb 2026

https://github.com/awaisfraaz/python-libraries

Here’s a repository description for a project where youA repository dedicated to exploring and experimenting with Python’s main libraries, featuring sample code, documentation, and practical examples for learning and reference.

matplotlib numpy pandas python seaborn

Last synced: 15 Feb 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/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/ebadshabbir/decision_tree_algorithm

Decision Tree Classifier for Social Network Ads A Python implementation of a Decision Tree Classifier to predict user purchasing behavior based on age and estimated salary. Includes feature scaling, model evaluation (confusion matrix and accuracy), and visualizations of decision boundaries for both training and test sets.

decision-tree-classifier jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/alekiie/streamlit-dashboard

A dashboard that utilizes the power of streamlit charts to create intuitive and easy to understand charts for data visualization.

data-visualization matplotlib numpy pandas python3 streamlit

Last synced: 07 May 2026

https://github.com/hafidaso/predicting-industrial-machine-downtime-level-3

This project aims to develop a predictive model using machine learning techniques to forecast machine failures based on historical operational data.

imbalanced-learning numpy pandas python scikit-learn seaborn xgboost

Last synced: 16 Apr 2026

https://github.com/williyam-m/movie_booking_app

A Django-based movie booking app featuring an admin dashboard with CRUD functionality for movies, theatres, screens, shows, and bookings. Includes an ML-powered movie recommendation system.

django machine-learning numpy orm pandas python sckiit-learn sqlite3

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/aadityasikder/neural-network-from-scratch-

This notebook demonstrates a neural network implementation using NumPy, without TensorFlow or PyTorch. Trained on the MNIST dataset, it features an architecture with input layer (784 neurons), two hidden layers (132 and 40 neurons), and an output layer (10 neurons) with sigmoid activation.

backward-propagation evaluation forward-propagation mnist-dataset neural-network neural-networks-from-scratch numpy training

Last synced: 16 Apr 2026

https://github.com/mnitin-reddy/coffee-shop-sales-analytics

This project analyzes coffee shop sales data to uncover key insights, focusing on customer behavior, product performance, and sales trends. Using Pandas, Matplotlib, and Seaborn, the analysis identifies peak sales hours, popular product categories, and opportunities for upselling or bundling.

datasceince datavisualization exploratory-data-analysis matplotlib numpy pandas python seaborn

Last synced: 07 May 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/anshpg/linearluminary

Greetings! I've developed a straightforward linear regression model from scratch to predict house prices in Bangalore. But before delving into coding, let me walk you through the algorithm's conceptualization. I considered various factors such as location, ocean proximity, plot size, finished state, and flat type.

algo linea mathematics matplotlib numpy pandas pyth

Last synced: 13 May 2026

https://github.com/akashash01/decision_tree

A very specific type of probability tree that enables you to make a decision on certain process(chance event outcomes, resources cost, utility).

data-science decision-tree-classifier machine-learning numpy pandas-dataframe python sklearn

Last synced: 11 May 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/anubagre/predicting-price-of-pre-owned-cars

This project is solution to data science problem based on regression model to predict the price of pre owned cars. Programming language used is Python.

data-science machine-learning numpy pandas price-prediction python seaborn sklearn streamlit

Last synced: 11 Apr 2026

https://github.com/imskully/python-cv-fault-detection

Fault detection algorithm that determines whether or not a fault exists within a ring using raw computer vision.

ccl computer-vision matplotlib morphology numpy opencv python

Last synced: 07 May 2026

https://github.com/khaymanii/calories-burnt-prediction-model

This model was built using Python and XGBoost Regression algorithm

matplotlib numpy pandas python scikit-learn

Last synced: 16 Apr 2026

https://github.com/abhishekpsonawane07/loan-repayment-prediction-ml

Loan Approval Prediction uses machine learning to analyze factors like income and credit history, automating and improving the loan approval process. The project ensures accurate, efficient, and user-friendly predictions with a Gradio interface.

artificial-neural-networks confusion-matrix decision-trees gradio-interface k-nearest-neighbours loan-dataset loan-prediction-analysis loan-repayment logistic-regression numpy pandas python random-forest sckiit-learn seaborn support-vector-machines

Last synced: 16 Apr 2026

https://github.com/thekartikeyamishra/customer-retention-predictor

The Customer Retention Predictor is a Python-based tool designed to help businesses predict customer churn using historical data. This project is particularly beneficial for small businesses and MSMEs in India, allowing them to identify customers at risk of leaving and take proactive measures to retain them.

joblib machine-learning numpy pandas python scikit-learn tinker

Last synced: 16 Apr 2026

https://github.com/iankitnegi/python_projects

Data Analyst Toolkit: A comprehensive collection of Python scripts and notebooks designed for data analysis tasks. Features data cleaning, visualization, statistical analysis, and machine learning models. Ideal for analysts seeking efficient, reproducible workflows.

matplotlib numpy pandas python seaborn

Last synced: 20 Apr 2026