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/satyanaryana-merla/financial-analysis-in-loan-analytics

sample datasets containing information about several loans, including details such as loan amount, interest rate, term duration, and other key characteristics. For this project, we need you to calculate a cash flow amortization schedule for each loan,

amortization amortization-schedule bank numpy pandas python

Last synced: 17 Apr 2026

https://github.com/myounus-codes/saleprice-prediction-dataset-analysis-and-cleaning-advance-regression

In this project I have cleaned the data for the model. Project Google Colab Link: https://colab.research.google.com/drive/1vQY-XEFJSdEkW2PQOSf1j13Yk8L-XXNw?usp=sharing

algorithms data-analysis data-science eda google-colab machine-learning numpy pandas python scikit-learn scikit-learn-python

Last synced: 05 May 2026

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

🧠 Deep learning project for brain tumor classification using MRI images. Built with transfer learning (VGG16 + fine-tuning), TensorFlow/Keras, and deployed via Streamlit. Dataset & model loaded dynamically from KaggleHub. Includes training notebook, evaluation, and interactive web app.

kagglehub keras numpy pandas scikit-learn streamlit tensorflow vgg16-model

Last synced: 13 Apr 2026

https://github.com/lintangwisesa/python_recommendation_system

Basic recommendation system using Python & Sklearn

numpy pandas python recommendation-system sklearn

Last synced: 05 May 2026

https://github.com/Zion-Dev1/E-commerce-Analysis

Short machine learning project which analyses customer behaviour 🔎

analysis clustering ecommerce machine-learning numpy pandas sklearn

Last synced: 24 Oct 2025

https://github.com/gallo13/neuralnetworks-deeplearning-stats-classification

Descriptive Statistics, Classification and Analysis Using Python & Python Libraries (Assignment 1)

analysis data datasets deep-learning jupyter-notebook matplotlib neural-networks numpy pandas plotting python seaborn

Last synced: 17 Apr 2026

https://github.com/arufonsekun/computer-vision

This repository hosts the code produced in dojos, week tasks, theoretical presentations during my attending time in the UFFS computer vision study group. (refactor in progress)

computer-vision numpy opencv python3

Last synced: 17 Apr 2026

https://github.com/imaginesamurai/advanced-vision-system

A Python-based camera handling utility that provides seamless control over video capture with advanced zoom functionality. Features include adjustable resolution, smooth digital zoom controls, and efficient frame processing, ideal for computer vision applications.

camera computer-vision cv2 cv2-library night-vision night-vision-camera night-vision-goggles numpy opencv opencv-python python python3 real-time realtime stable supoort thermal thermal-camera thermal-images video

Last synced: 16 Apr 2026

https://github.com/heshanera/paclassifier

Online Passive Aggressive Binary Classifier

binary-classifier numpy passive-aggressive python

Last synced: 06 May 2026

https://github.com/MITHILESHK11/Steganography-App-Aicte-Internship-Cybersecurity-Edunet-Foundation

Secure Image Steganography App : This Streamlit-based Steganography App lets you securely encrypt and decrypt messages in images using the Least Significant Bit (LSB) technique. Messages remain invisible unless unlocked with the correct password.

hashlib numpy opencv3 python streamlit-webapp

Last synced: 24 Oct 2025

https://github.com/scarblase/homeless-animals-analysis

A data-driven exploration of homeless animal statistics 🐶🐱. Analyze age distribution, shelter dynamics, and adoption patterns using Python, Pandas, and Seaborn.

animals data-analysis data-mining data-science data-science-projects data-visualization matplotlib matplotlib-pyplot numpy pandas plotly python python3 ukraine

Last synced: 06 May 2026

https://github.com/ujstor/streamlit-working-hours

The analysis pipeline involves combining the data forms, performing data cleaning, and starning streamlit server for statistical analysis.

data-pipeline numpy pandas statistics streamlit

Last synced: 06 May 2026

https://github.com/abhinavsharma07/neural-network-using_numpy

Introduction to Neural Networks (Create a neural network using Numpy)

accuracy feed-forward model neural-networks numpy prediction

Last synced: 18 Jan 2026

https://github.com/jilliennelapid/finalproject_group53

Final Project for COP2080. Audio Graphical software that works with mono-channel .wav files and plots them in various ways.

matplotlib numpy pydub python scipy tkinter

Last synced: 14 Apr 2026

https://github.com/faisal-khann/comprehensive_banking_portfolio

This analysis explores the banking customer dataset to uncover key patterns in account holdings, loan portfolios, income profiles, and transactional behavior. By integrating both financial and demographic variables, we examine customer engagement, lending trends, and risk exposure across different segments.

data-manipulation eda matplotlib numpy pandas powerbi python seaborn

Last synced: 20 Apr 2026

https://github.com/marksikaundi/30daysofdeeplearning

This challenge is designed to help you build a strong foundation in Python programming and deep learning over the course of 30 days. By the end of this challenge, you will have developed a comprehensive understanding of deep learning concepts.

data-science nlp numpy python pytorch tensorflow

Last synced: 04 Apr 2026

https://github.com/hayatiyrtgl/data_analysis_project

Financial data analysis: preprocess, visualize, calculate technical indicators.

data-analysis data-analysis-python data-science dataframe numpy pandas python python3 stock-price-prediction talib trade-analysis

Last synced: 04 Apr 2026

https://github.com/mnitin-reddy/anomaly-detection-in-server-networks

This project implements an anomaly detection algorithm to identify failing servers in a network. The model is trained on a dataset with throughput and latency features, estimating parameters for anomaly detection. The approach is extended to a high-dimensional dataset, showcasing its effectiveness in detecting outliers and anomalies

anamoly data-science machine-learning matplotlib numpy pyhton seaborn

Last synced: 19 Apr 2026

https://github.com/yc1909/ai_impact_on_jobs

Impact of Artificial Intelligence on Jobs and Workplace-Analysis

analytics exploratory-data-analysis matplotlib numpy pandas seaborn

Last synced: 06 May 2026

https://github.com/mahnoorsheikh16/Credit-Card-Default-Prediction

This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.

chi-square-test encoding hiplot imblearn json knn-imputer matplotlib numpy pandas pca-analysis pillow plotly robust-scalar scipy seaborn sklearn smote streamlit ttest visualization

Last synced: 01 Mar 2025

https://github.com/carlthome/ipytoolbox

A collection of IPython magics and other utilities

ipython jupyter matplotlib numpy

Last synced: 18 Jan 2026

https://github.com/abhinav330/data-science-projects

The Data Science Projects folder contains various projects related to data analysis, machine learning, and exploratory data analysis (EDA). Each project focuses on a specific dataset and utilizes different techniques and algorithms to extract insights and make predictions.

decision-trees exploratory-data-analysis k-means-clustering k-nearest-neighbours kaggle linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas plotly python random-forest-classifier support-vector-machines

Last synced: 30 May 2026

https://github.com/rudrakshi99/movie-recommendation-system

Movie recommendation system using machine learning and predict user ratings for the movies.

dataframes machine-learning matplotlib numpy pandas seaborn

Last synced: 07 May 2026

https://github.com/gauravtrivedi967/mask_detection

In the present scenario due to Covid-19, there is no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. Also, the absence of large datasets of ‘with_mask’ images has made this task more cumbersome and challenging.

cv2 keras numpy os

Last synced: 18 Apr 2026

https://github.com/nemeslaszlo/emergency-911-calls

Covers emergency (911) Calls: Fire, Traffic, EMS for Montgomery County, PA analysis with visualizations.

jupyter-notebook matplotlib numpy pandas seaborn

Last synced: 06 May 2026

https://github.com/thevarunsharma/similar-word-finder

A web application with Python backend which finds words similar to a given word, using pre-trained GloVe word embeddings.

flask-application machine-learning nlp numpy python word-embeddings

Last synced: 07 May 2026

https://github.com/gehad-ahmed30/data-analysis

This repository offers a guide to data visualization with Pandas and includes practical examples and two complete projects. Learn to preprocess, analyze, and visualize datasets to solve real-world problems effectively.

analysis matplotlib numpy pandas python seaborn

Last synced: 07 May 2026

https://github.com/sumonta056/bangladeshi-vehicle-number-plate-detection

Image Processing Pipeline: Enhance, rotate, extract features, and segment characters in images for text recognition and enhancement.

candy-edge connected-components edge-detection grayscale-images morphological-analysis numpy opencv python radon-transform scikit-image sobel-edge-detector

Last synced: 07 May 2026

https://github.com/ngirimana/decision-trees-and-random-forest-

For this project we will be exploring publicly available data from [LendingClub.com](www.lendingclub.com). Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor you would want to invest in people who showed a profile of having a high probability of paying you back. We will try to create a model that will help predict this. Lending club had a [very interesting year in 2016](https://en.wikipedia.org/wiki/Lending_Club#2016), so let's check out some of their data and keep the context in mind. This data is from before they even went public. We will use lending data from 2007-2010 and be trying to classify and predict whether or not the borrower paid back their loan in full. You can download the data from [here](https://www.lendingclub.com/info/download-data.action) or just use the csv already provided. It's recommended you use the csv provided as it has been cleaned of NA values. Here are what the columns represent: * credit.policy: 1 if the customer meets the credit underwriting criteria of LendingClub.com, and 0 otherwise. * purpose: The purpose of the loan (takes values "credit_card", "debt_consolidation", "educational", "major_purchase", "small_business", and "all_other"). * int.rate: The interest rate of the loan, as a proportion (a rate of 11% would be stored as 0.11). Borrowers judged by LendingClub.com to be more risky are assigned higher interest rates. * installment: The monthly installments owed by the borrower if the loan is funded. * log.annual.inc: The natural log of the self-reported annual income of the borrower. * dti: The debt-to-income ratio of the borrower (amount of debt divided by annual income). * fico: The FICO credit score of the borrower. * days.with.cr.line: The number of days the borrower has had a credit line. * revol.bal: The borrower's revolving balance (amount unpaid at the end of the credit card billing cycle). * revol.util: The borrower's revolving line utilization rate (the amount of the credit line used relative to total credit available). * inq.last.6mths: The borrower's number of inquiries by creditors in the last 6 months. * delinq.2yrs: The number of times the borrower had been 30+ days past due on a payment in the past 2 years. * pub.rec: The borrower's number of derogatory public records (bankruptcy filings, tax liens, or judgments).

artificial-intelligence decision-tree-classifier machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn

Last synced: 11 Apr 2026

https://github.com/venky-1710/stress-level-predection

Stress Level Prediction is a web app using machine learning to estimate user stress levels. It takes inputs like anxiety, sleep quality, and academic performance, then predicts stress using a Decision Tree Classifier. Built with Python, Flask, and scikit-learn, it's useful for students, researchers, and those interested in stress management.

css flask html machine-learning numpy pandas python python-sklearn scikit-learn

Last synced: 05 Apr 2026

https://github.com/assamirzafar/learning

My Roadmaps and challenges are in this repo...I will add my colab and kaggle notebook links along with py script files in here.

calculus convolutional-neural-networks deep-learning deep-neural-networks keras linear-algebra machine-learning numpy opencv probability python3 pytorch scikit-learn scipy statistics

Last synced: 05 Apr 2026

https://github.com/khaymanii/heart-disease-prediction-model

This repository contains a model built using python and Logistic Regression algorithm

matplotlib numpy pandas python sckit-learn

Last synced: 18 Apr 2026

https://github.com/akashash01/akash_linear-regression

This is an linear approach machine learning model used to predict the values of variable(dependent) based on other variables(independent).

anova-test autocorrelation data-science heteroscedasticity linear-regression machine-learning mape multicollinearity numpy pandas python supervised-learning

Last synced: 07 May 2026

https://github.com/mihirh19/analyzing-crimes-in-la

This GitHub repository contains a comprehensive analysis of crime data in Los Angeles. Leveraging a variety of data sources, tools, and techniques, we have explored patterns, trends, and insights related to criminal activities within the city. Our analysis includes data visualization crime dynamics in different neighborhoods and over time.

dataset machine-learning matplotlib numpy pandas seaborn

Last synced: 07 May 2026

https://github.com/kshitijshrivastava1903/neural_network_analysis_on_lending_club-dataset

Used tensorflow's neural network model to predict whether or not a person pays back a loan on the basis of his historical data and personal details of 3.9 lakh people like interest rate, employment details, address, etc.

deep-learning dropout-keras earlystopping keras-tensorflow matplotlib-pyplot neural-networks numpy pandas seaborn tensorflow-models

Last synced: 18 Feb 2026

https://github.com/abhishekyana/zframework

Z Framework for Easy Deep Learning

deep-learning machine-learning numpy python tensorflow

Last synced: 24 Jan 2026

https://github.com/programmer-rd-ai/moviedatascraper

Explore the cinematic universe with our IMDb web scraping project! Dive into movie data with ease, uncovering insights from cast to critical reviews. With dynamic visualizations and reliable data, let's journey through the world of movies like never before. Lights, camera, analysis!

beautifulsoup beautifulsoup4 data data-analysis jupyter-notebook matplotlib numpy pandas programming python python3 scraping seaborn software web

Last synced: 01 Mar 2025

https://github.com/yash22222/sync-intern-s-ml-tasks

SYNC INTERN'S Machine Learning internship will offer you to enhance your skills by doing real-life example projects. This internship will increase your knowledge in the field of data and algorithms to understand how a machine learns.

bhpp boston-house-datasets boston-house-price-prediction boston-house-pricing data data-structures machine-learning machine-learning-algorithms numpy pandas sync-intern sync-interns

Last synced: 07 May 2026

https://github.com/khaymanii/diabetes_prediction_model

This is a Machine learning model built using Python

matplotlib numpy pandas python scikit-learn

Last synced: 19 Apr 2026

https://github.com/aryansk/human-counting-system

HumanVision-Detector is a real-time human detection system built with OpenCV and HOG (Histogram of Oriented Gradients) descriptor. The system can detect and count people in both images and video streams, making it suitable for various applications including surveillance, crowd monitoring, and foot traffic analysis.

argparse imutils machine-learning machine-learning-algorithms numpy opencv python

Last synced: 19 Apr 2026

https://github.com/hansalemaos/numpycythonpermutations

Permutations, Combinations and Product for Numpy - written in Cython - 20x faster than itertools

c combinations cython fast itertools numpy permutations product python

Last synced: 08 May 2026

https://github.com/dwarkadhish2005/weather-predictor

Built a model based on collected data which takes various parameters and predicts the weather

classifier matplotlib numpy pandas sklearn xgboost

Last synced: 20 Apr 2026

https://github.com/toby-sanders-101/mydigits

Everything needed to create a AI bot that can read images

deep-neural-networks image-classification matplotlib numpy opencv pyautogui python

Last synced: 08 May 2026

https://github.com/chriszethird/image-recognition-without-neural-network

After working on a end year project for University, showcasing the better energetic efficiency of Neuromorphic comparing two programs, I've decided to improve my second algorithm. You'll find 3 files of codes : the main programm, the calculation of its accuracy and the test on the MNIST data-base.

numpy python recognizing-handwritten-digits

Last synced: 06 Feb 2026

https://github.com/ilovenooodles/image-compression

Tugas Besar 2 Aljabar Linear dan Geometri

image-compression numpy python svd-matrix-factorisation

Last synced: 20 Apr 2026

https://github.com/codewitheshayoutube/corvit_python_data_analytics_course

I teach Python & Data Analytics at Corvit Systems. This repository contains all course materials, including code, assignments, projects, and resources. ⭐ Stay updated!

matplotlib numpy pandas python python3 scikitlearn-machine-learning seaborn

Last synced: 13 Apr 2026

https://github.com/aarryasutar/pipe_leak_estimation_predictor_model

The project builds a Bayesian Network using pressure sensor data to detect pipe leaks, employing probabilistic reasoning to determine the likelihood of leaks based on sensor readings. It involves loading dataset, defining network structure, calculating CPDs, adding them to model, and using Variable Elimination algorithm for inference

bayesian-networks cpd csv dag data-frames inference model-verification numpy pandas pgmpy pressure-sensors probabilistic-graphical-models probability python variable-elimination-algorithm

Last synced: 15 Apr 2026

https://github.com/g0r0kh/forecast

layouts statistical analys for forecasting

matplotlib numpy pandas

Last synced: 30 Jan 2026

https://github.com/sultanazhari/credit-scoring

A bank Company Wants to Analize their customer borrower defaults. as a Analyst we're giving the report of category and classification that have a big probability as a customer borrower default.

lending-bank numpy pandas phyton3 probability reporting

Last synced: 20 Apr 2026

https://github.com/framebuffers/mindhunter

Wrappers for Pandas DataFrames to add quicker access for common statistical values, utilities and functionality.

data-analysis data-science numpy pandas python utilities-python

Last synced: 08 May 2026

https://github.com/nirmalyabag20/crop-yield-prediction-using-machine-learning

This project uses machine learning to predict crop yields based on factors like region, crop type, rainfall, temperature, and pesticide use. By analyzing a dataset of over 28,000 records, the models provide accurate yield forecasts, helping optimize farming decisions and resource management, ultimately contributing to sustainable agriculture.

jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 06 Feb 2026

https://github.com/muhamedayoub/numerical-analysis-project

This repository contains an academic project for the numerical analysis module.

analysis mathematics matplotlib numpy r

Last synced: 09 May 2026

https://github.com/607011/1dollar

Simulation of a counterintuitive distribution problem

animation go golang matplotlib numpy plot python3 simulation statistics

Last synced: 09 May 2026

https://github.com/hossein-cod/plate-recognition

car Plate recognition with cv2

cv2 jupyter-notebook numpy opencv python

Last synced: 15 Apr 2026

https://github.com/seungjaelim/scratchml

Implement neural network only using numpy

deep-learning machine-learning numpy

Last synced: 20 Apr 2026

https://github.com/alexcoder04/image-edit

A Python GUI for basic image editing, school project

fun gui image-editing image-processing numpy pil pyqt pyqt5 python python3 qt sideproject

Last synced: 09 May 2026

https://github.com/gyanz/py-gpu-scripts

Sample python scripts for gpu processing

gpu numpy pysdl2 python vulkan

Last synced: 21 Apr 2026

https://github.com/paulo-santos-ds/analise_corrida_taxi

Este projeto tem como objetivo analisar os dados de um aplicativo fictício de caronas. Encontrar padrões nas informações disponíveis, entender as preferências dos passageiros e o impacto de fatores externos nas corridas.

math matplotlib numpy pandas python3 seaborn sql

Last synced: 09 May 2026

https://github.com/dina-hosny/explore-us-bike-share-data-project

Explore US Bike Share Data project - FWD Data Analysis Professional Track. In this project, I used Python to explore data related to bike share systems for three major cities in the United States and answer questions about it by computing descriptive statistics.

data-analysis data-science numpy pandas python

Last synced: 09 May 2026

https://github.com/simran2911/flight-price-pridiction

This github repositiory contains the Flight Price Prediction project aims to develop a machine learning model to predict flight ticket prices based on various factors such as departure and arrival locations, dates, airlines, and other relevant features.

accuracy-score catboostregressor machine-learning matplotlib numpy pandas r2-score random-forest-regression seaborn xgboost-regression

Last synced: 21 Apr 2026

https://github.com/datarohit/tps-january-2022--kaggle-competition

Tabular Playground Series - Jan 2022. This Competition is Posted on Kaggle.com for practicing the EDA and Regression Skills.

kaggle-competition matplotlib numpy pandas regression-algorithms seaborn

Last synced: 09 May 2026

https://github.com/nikhilroxtomar/introduction-to-numpy

A list of jupyter notebook explaining the various functions and properties of Numpy.

numpy numpy-tutorial

Last synced: 21 Apr 2026

https://github.com/deusares/drawerfunctions

A collection of PIL, Numpy and OpenCV functions to manipulate images

generative graphic image-processing numpy opencv pil pillow python

Last synced: 09 May 2026

https://github.com/harmanveer-2546/diabetes-prediction-using-machine-learning

Diabetes is a medical disorder that affects how the body uses food for energy. When blood sugar levels rise, the pancreas releases insulin. If diabetes is not managed, blood sugar levels can rise, increasing the risk of heart attack and stroke. We used Python machine learning to forecast diabetes.

adaboost decision-trees gradient-boosting-classifier gridsearchcv knn-classification machine-learning numpy os pandas pickle python random-forest seaborn svc-model

Last synced: 14 Apr 2026

https://github.com/aarmn/maryam

🧮 Maryam is a light, hackable and accurate python mathematical module written for simple usage with no dependencies (up to now). In memory of Iranian mathematician Maryam Mirzakhani, The first woman and Iranian who's honored by Fields medal

algebra discrete-mathematics maryam math matrix numpy python python3

Last synced: 24 Apr 2026