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/allenvox/neural

Workspace for Neural Networks class

jupyter-notebook neural-networks numpy python pytorch tensorflow

Last synced: 02 Jan 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: 28 Jun 2025

https://github.com/davityak03/sentence-paraphraser-checker-using-transformers

This Jupyter Notebook implements a tool to check whether two sentences are paraphrases by analyzing their semantic similarity using NLP techniques. It provides a similarity score and a binary decision to indicate if the sentences are paraphrases.

keras nlp nltk numpy python tensorflow tokenizer transformers

Last synced: 02 Jan 2026

https://github.com/g-vinokurov/nsu-neuro-nets

NSU Neural Networks laboratory works

ml neural-networks numpy pandas python sklearn tensorflow

Last synced: 22 Mar 2025

https://github.com/mikma03/simulation_modeling

Simulation models using Python. Practical use of Python in real-world examples and additional resourses.

matplotlib numpy pandas portfolio python simulation stocks

Last synced: 28 Jun 2025

https://github.com/pranjalshivhare06/medical-ensurance-charge-predictor

The Insurance Price Predictor is a machine learning project designed to predict insurance costs based on various input features. The project leverages four different algorithms, with XGBoost emerging as the most accurate and efficient model.

fastapi machine-learning numpy pandas xgboost-classifier

Last synced: 22 Mar 2025

https://github.com/jonad/titanic_survival

Basic decision tree model for Titanic dataset. Predict who will survive.

jupyter-notebook matplotlib numpy pandas python3 titanic-survival-prediction

Last synced: 05 Nov 2025

https://github.com/aymen016/leetcode-problems

This repo is designed to enhance your problem-solving skills through daily coding challenges, complete with clear explanations and well-structured solutions. 🎯

coding decision-making leetcode-python leetcode-solutions numpy problem-solving python

Last synced: 30 Mar 2025

https://github.com/muhammadshavaiz/hand-sketch-recognition--inceptionv3

The Hand Drawn Sketch Classification project uses PyTorch to classify hand-drawn sketches. It evaluates model Inception_v3, with Inception_v3 achieving the highest accuracy of 57%. The repository features scripts for dataset management, model training, and evaluation.

inception-v3 matplotlib numpy pandas python pytorch

Last synced: 28 Feb 2025

https://github.com/laurencewarne/eratosthenes

Random implementations of the sieve of Eratosthenes

algorithm eratosthenes numpy python3

Last synced: 26 Feb 2025

https://github.com/hansalemaos/cppradixsort

parallel_radixsort from C++ for Python (Windows)

cpp numpy parallel-computing python sort

Last synced: 23 Jul 2025

https://github.com/karishmagupta05/airbnb-data-scraping-and-analysis

This project involves web scraping Airbnb listings using Python and BeautifulSoup, followed by data analysis with Pandas. The goal is to extract meaningful insights from the data, clean and preprocess it, and visualize the results using libraries like Matplotlib and Seaborn.

beautifulsoup4 matplotlib numpy pandas python scraping seaborn visualization

Last synced: 04 Apr 2025

https://github.com/hanzopgp/randomkagglesolving

Trying to build models to resolve some interesting Kaggle datasets thanks to deep learning.

artificial-intelligence deep-learning jupyter-notebook machine-learning matplotlib numpy personal tensorflow

Last synced: 13 Jul 2025

https://github.com/ashithapallath/comparison-of-ssd-sad-in-motion-estimation-of-video-coding

Course assignment for Algorithm and Massive Datasets comparing SAD and SSD for motion estimation. Includes analysis of accuracy, speed (Python/NumPy), and error sensitivity. Highlights trade-offs for speed-critical vs. precision-focused applications.

l1-normalization l2-norm numpy pytho video-cod

Last synced: 04 Apr 2025

https://github.com/sarthakm402/rabbi

A Ml library that can be used ot clean,and use models to predict on data

numpy optuna pandas pypi-package python sklearn

Last synced: 27 Mar 2025

https://github.com/danaelshrbiny10/gold-prices

The Egypt Gold Prices project is a data analysis and visualization initiative that focuses on tracking and understanding the daily gold prices in Egyptian pounds per gram.

data-visualization docker docker-compose matplotlib mongodb numpy pandas powerbi python3 webscraping

Last synced: 26 Feb 2025

https://github.com/dr-rompecabezas/mean-variance-standard-deviation-calculator

A data science project built as part of the freeCodeCamp curriculum.

numpy python

Last synced: 14 May 2025

https://github.com/alphacrypto246/insurance-charges-prediction

The Predicting Insurance Charges project uses Decision Tree Regression to predict insurance charges based on features like age, sex, BMI, and smoking habits. It involves data preprocessing, feature scaling, and model evaluation with metrics like MAE and R².

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 16 Sep 2025

https://github.com/elijah-1994/modelling-airbnbs-property-listing-dataset

Training and Evaluating classification and regression model use cases on the Airbnb dataset.

data-science machine-learning numpy pandas plotly python pytorch sklearn

Last synced: 25 Dec 2025

https://github.com/josafatburmeister/circle_detection

A Python package for circle fitting.

circle numpy objectdetection pointcloud python

Last synced: 24 Jul 2025

https://github.com/philcs/electromag

Électromagnétisme, Université Laval, 2017

matplotlib numpy python

Last synced: 12 Sep 2025

https://github.com/riyajain255/customer-segmentation-for-e-commerce

This project analyzes online retail data to segment customers using K-Means clustering and build classification models to predict those segments based on purchasing behavior.

customer-segmentation data-analysis kmeans-clustering logistic-regression machine-learning matplotlib numpy pandas python random-forest scikit-learn seaborn-plots

Last synced: 30 Dec 2025

https://github.com/helenaden/data-science-fundamentals

This project delves into fundamental data science concepts using Python libraries like NumPy and Pandas

data-analysis datascience datasets datavisualization datawrangling heatmap numpy pandas patterns python

Last synced: 05 Oct 2025

https://github.com/stkisengese/numpy-data-fundamentals

A comprehensive collection of NumPy exercises covering array manipulation, slicing, broadcasting, random data generation, and real-world data analysis applications.

data data-analysis numpy pre-processing

Last synced: 18 Sep 2025

https://github.com/h6x-code/classic-single-layer-perceptron

Reproducible MNIST perceptron — from-scratch OVR model (no DL frameworks) with custom IDX loader, sklearn baseline, error analysis, and a 28×28 sketchpad/CLI.

cli idx machine-learning matplotlib mnist numpy ovr perceptron reproducibility sklearn tkinter

Last synced: 18 Sep 2025

https://github.com/amanyadav-07/customer-churn-prediction

Machine Learning project to predict customer churn using Logistic Regression, Random Forest, and XGBoost. Includes data preprocessing, feature engineering, SMOTE balancing, model training, evaluation, and business insights.

accuracy-metrics data-analysis data-visualization logistic-regression machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn sklearn xgboost-classifier

Last synced: 30 Dec 2025

https://github.com/4ngelojr/ai-ml-cheatsheets

🗂️ Access essential AI and ML concepts with quick-reference cheatsheets for effective learning and project implementation.

bigdata cheatsheet computer-science convolutional-neural-networks data-science deep-learning dl excel hadoop keras linux neural-networks numpy pig plotly probability sql statistics

Last synced: 18 Sep 2025

https://github.com/jaketherealone/machinelearningtoolset

Collection of primary tools used in the field of machine learning - Written for numpy projects

machine-learning numpy python toolset

Last synced: 18 Sep 2025

https://github.com/ganesh774218/eda-book-store

Exploratory data analysis on a book store dataset to uncover sales trends, popular genres, and top publishers.

data-visualization datacleaning datamanipulation eda matplotlib numpy pandas python pythonp pythonproject seaborn

Last synced: 18 Sep 2025

https://github.com/rohanbanerjee1234567-cell/prediction-of-expected-salary-using-machine-learning

Here is my first Project Repository where I have made a Machine Learning Project using Python. The Problem statement was to train a model based on the given Dataset and from there we need to Predict the Expected Salary of an Employee who will have similar profiles.

exploratory-data-analysis linearregression matplotlib-pyplot numpy pandas randomforest randomforestregressor scikit-learn scikitlearn-machine-learning searborn visualization

Last synced: 18 Sep 2025

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: 30 Dec 2025

https://github.com/nak-dt/deep-decision-forest

A custom ensemble tree model inspired by Deep Forest

ai machine-learning machine-learning-algorithms numpy pandas python sklearn

Last synced: 18 Sep 2025

https://github.com/abhishek-patidar066/synthetic-datasets

Synthetic datasets are artificially generated data used for training machine learning models, simulating real-world data while ensuring privacy.

clustering datasets jupyter-notebook libraries matplotlib-pyplot numpy pandas-dataframe python random sklearn

Last synced: 26 Jul 2025

https://github.com/alejandro945/insurance-risk

This project aims to predict the risk of insurance claims using a dataset from Kaggle. The dataset consists of 26 columns and 205 rows, providing various features related to insurance risk. By analyzing this data, we seek to build predictive models that can help insurers assess the risk of claims.

data-analytics ipython-notebook numpy pandas python

Last synced: 26 Jul 2025

https://github.com/spacebakery/crunchie-munchies-project

Analyze Data with Pyhton

numpy python statistics

Last synced: 27 Jul 2025

https://github.com/kr1shnasomani/textsnap

Text extractor from images using EasyOCR, PyTesseract and Computer Vision

computer-vision easyocr matplotlib numpy opencv pytesseract

Last synced: 23 Aug 2025

https://github.com/khaymanii/spam_mail_detection_model

This model was built using Python and Logistics Regression algorithm

matplotlib numpy pandas python sckiit-learn

Last synced: 27 Jul 2025

https://github.com/abdulsamie10/pythonbasics

This repository contains few tasks, which I developed just to get a strong grip on Python Programming Langauge.

ai labtasks lambda numpy python pythonlab

Last synced: 07 Nov 2025

https://github.com/nandit123/python_on_excel

Data Analysis using python libraries on excel data

csv data-analysis data-science fill fluctuations graph numpy python python-library

Last synced: 27 Jul 2025

https://github.com/jalijuhola/amazon-textual-reviews-recommender-

predicting score and recommending using amazon textual reviews

numpy pandas python scikit-learn typescript

Last synced: 28 Jul 2025

https://github.com/ghaniketrajputp005/adobe-gensolve-hackathon-2024

This Project aims to identify, regularize, and beautify curves in 2D Euclidean space.

cv2 keras-tensorflow numpy os sklearn

Last synced: 28 Jul 2025

https://github.com/alimiheb/morphotype-web-app

A modern web application that analyzes body morphotypes (Ectomorph, Mesomorph, Endomorph) using MediaPipe AI and provides personalized fitness and nutrition plans.

body-tracking flask mediapipe numpy opencv pandas pillow python3

Last synced: 28 Jul 2025

https://github.com/youssefyaser/scrape-the-imdb-site-for-the-top-250-movies

Web scraping the top 250 movies in IMDB site.

data-analysis numpy pandas python

Last synced: 29 Jul 2025

https://github.com/ledsouza/MedPhys-BI

Aplicativo desenvolvido para gestão e análise de dados do Serviço de Física Médica em Medicina Nuclear do HCPA

aws boto3 cloud-computing cloud-run docker dotenv gcp mongodb numpy os pandas plotly pymongo python s3 streamlit terraform vitrinedev yaml

Last synced: 22 Sep 2025

https://github.com/youssefali11997/free-style-coding

Scripts written as practice, trying new technology or just playing with the code !

bash javascript numpy python3 ruby-on-rails scripts vuejs

Last synced: 25 Aug 2025

https://github.com/abeed04/face-recognition-using-computer-vision-cv2

OpenCV (cv2) can be used for face recognition by detecting faces, extracting facial features, and comparing them to a database of known faces.

cmake cv2-library dlib-face-recognition face-recognition flask numpy pycharm-ide python

Last synced: 31 Jul 2025

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: 31 Jul 2025

https://github.com/preethiphilip/prosper-loan-data-analysis

This project explores the Prosper loan dataset to uncover trends, borrower behaviors, and factors influencing loan performance. Using Python and data visualization techniques, the analysis examines key variables such as credit scores, loan status, income ranges, and debt-to-income ratios to gain insights into credit risk and lending patterns.

jupyter-notebook matplotlib numpy pandas python3 seaborn

Last synced: 31 Jul 2025

https://github.com/werctfourth/python-border-autocrop2

Python script that crops borders from images v2

border crop image-processing libvips numba numpy python python3

Last synced: 31 Jul 2025

https://github.com/lohiyah/dataset_summariser

A Python tool for generating concise summaries of datasets using Pandas and NumPy for analysis, and Matplotlib and Seaborn for insightful visualizations. Ideal for quick exploratory data analysis (EDA).

matplotlib numpy pandas seaborn

Last synced: 01 Aug 2025

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

O sistema utiliza inteligência artificial para analisar documentos e características físicas dos visitantes, garantindo que apenas maiores de 18 anos possam acessar as áreas de jogos

keras numpy pandas plotly python restnet50 sklearn tensorflow

Last synced: 01 Aug 2025

https://github.com/klima7/numpynet

Convolutional Neural Network written from scratch using numpy with API similar to tensorflow.

cnn convolution network nn numpy scratch tensorflow

Last synced: 24 Sep 2025

https://github.com/sarmad426/python

Python mastery. OOP | Numpy | Pandas | Jupyter Notebook & more.

fastapi file-handling-in-python jupyter numpy oop pandas pytest python regex unit-tests

Last synced: 30 Dec 2025

https://github.com/elon-fask/nlp_num1

Natural Language Processing with Disaster Tweets

ai machine-learning nlp nlp-machine-learning numpy pandas python text-processing

Last synced: 08 Nov 2025

https://github.com/dwade-eng/amazon-product-recommender-prototype-

This project is a content-based product recommendation engine inspired by Amazon's "Customers who viewed this item also viewed" feature. It uses a dataset of product metadata and user interactions to suggest similar items based on product titles, brands, and categories using TF-IDF vectorization and cosine similarity.

html numpy pandas python3 scikit-learn

Last synced: 25 Sep 2025

https://github.com/prathicashettym/machinelearningalgorithms

Contains mini projects and implementation using ML algorithms

jupyter-notebook linear-regression matplotlib numpy pandas panfas python seaborn

Last synced: 25 Sep 2025

https://github.com/amdjadouxx/my_neural_network

implementation of a neural network library

deep-neural-networks ia machine-learning numpy python3

Last synced: 02 Aug 2025

https://github.com/leftcoastnerdgirl/supervised_learning

This project demonstrates supervised machine learning using scikit-learn.

classification-reports confusion-matrix jupyter-notebook numpy pandas-python pathlib scikit-learn sklearn

Last synced: 26 Sep 2025

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/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: 03 Aug 2025

https://github.com/kahlery/signal-convolution

implementation of signal convolution in Python using both a custom function and NumPy's built-in convolve function. Also includes a function for recording and playing audio using the sounddevice library.

audio-recorder convolution matplotlib numpy python signal-processing sounddevice

Last synced: 03 Aug 2025

https://github.com/souvikmajumder26/neural-network-from-scratch

🚀 Building a simple Neural Network to classify the images of the Fashion-MNIST dataset, using only numpy and no TensorFlow, Keras, or PyTorch.

config fashion-mnist logger neural-network neural-network-from-scratch notebook-jupyter numpy project python

Last synced: 03 Aug 2025

https://github.com/RedInfinityPro/Python-Task-Manager

Rating: (7/10): The Python Task Manager, is a user-friendly interface using tkinter library for system monitoring and management. It displays detailed system process information using psutil, with interactive features.

matplotlib numpy psutil pygetwindow tkinter

Last synced: 30 Sep 2025

https://github.com/RedInfinityPro/DrawImages

Rating: (7/10) The code uses Python's Turtle module to create a canvas image, converting it to grayscale, and then placing dots at each pixel's location based on its intensity.

numpy pil random turtle

Last synced: 30 Sep 2025

https://github.com/prat555/python_practice

These files contain the Python exercises I completed as practice.

deep-learning numpy pyhton3 regex

Last synced: 01 Oct 2025

https://github.com/miss-mhv/udacityproject_dataviz

Data analysis of a bicycle rental system. The goal is to understand how trips are made according to age, time of year, day of the week, time of day

jupyter-notebook matplotlib numpy pandas python3 seaborn-plots

Last synced: 07 Aug 2025

https://github.com/who-else-but-arjun/pyspyce-cs

Circuit Simulator for R, L, C components and AC/DC voltage and current sources built using python as a part of EE204 circuit theory course project.

circuit-simulator numpy python streamlit sympy

Last synced: 07 Aug 2025

https://github.com/BiocPy/mopsy

Matrix operations

matrix numpy scipy

Last synced: 03 Oct 2025

https://github.com/hoyirul/genetic-algorithm-py

The 'Genetic Algorithm Isolation Forest' app combines genetic algorithm and isolation forest for accurate anomaly detection, offering an intuitive interface for easy parameter adjustment and result visualization.

numpy pandas python3 sklean unsupervised-learning

Last synced: 09 Aug 2025

https://github.com/thaisgarcia/convert-censo-file

Este repositório contém scripts Python para processar dados destinados ao censo do MEC, incluindo a leitura de um arquivo TXT, a geração de um arquivo Excel e a conversão desse arquivo Excel de volta para um formato de texto.

numpy pandas python

Last synced: 30 Dec 2025

https://github.com/batthulavinay/phone-usage-analysis

This project analyzes phone usage patterns in India and predicts the primary use of mobile devices based on various features. The notebook covers data preprocessing, exploratory data analysis (EDA), and model training using multiple classification algorithms.

accuracy-score adaboost classification-report confusion-matrix datapreprocessing datavisualization exploratory-data-analysis gradient-boosting imbalanced-data jupyter-notebook lightgbm logistic-regression matplotlib numpy pandas random-forest scikit-learn seaborn supportvectormachines xgboost

Last synced: 09 Nov 2025

https://github.com/ananupam/eda-stock_market

An Exploratory Data Analysis project done on Financial data read from a search engine (yahoo) to predict the trends of stocks of 4 Tech companies.

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 10 Aug 2025

https://github.com/cuong-nq90/tutorial

Discover a simple arbitrage bot for passive income. Clone the repo, test the code, and start automating your crypto trading today! 🚀🌟

emsp keepalived machine-learning multiprocessing mysql neural-networks numpy python python-tutorial pythontutorial pytorch-tutorial rocketmq spark springcloud theano translation tutorial webdevelopment

Last synced: 11 Aug 2025

https://github.com/paulomppatricio/projeto_challenge_telecomx-br_parte-2

Projeto Challenge TelecomX-BR_Parte-2 - Formação Data Science do programa ONE - Oracle Next Education em parceria com a Alura.

data-science imblearn joblib machine-learning matplotlib modelos-preditivos numpy pandas python scipy seaborn sklearn statsmodels xgboost

Last synced: 20 Aug 2025

https://github.com/dulajkavinda/document-similarity-ml

📑 Check similarity between documents using td-idf and cosine similarity.

machinelearning numpy python scikit

Last synced: 01 Nov 2025

https://github.com/saifalibaig/crop-yield-prediction

🌾 A machine learning-based crop production prediction system using historical Indian agricultural data with advanced regression models and hyperparameter tuning.

eda feature-encoding feature-selection kaggle-dataset lasso-regression linear-regression matplotlib-pyplot numpy onehot-encoding pandas python3 ridge-regression seaborn simpleimputer xgboost-regression

Last synced: 12 Aug 2025

https://github.com/sohamrider786/house_price_predictor

A machine learning project to predict house prices based on various property features using advanced regression techniques. This project demonstrates end-to-end model development, including data preprocessing, feature engineering, model training, evaluation, and visualization.

machine-learning matplotlib-pyplot numpy pandas random-forest-regression sklearn-library

Last synced: 13 Aug 2025

https://github.com/kumpatlapavankumar/recognizing-flowers-with-convolutional-neural-networks

This project uses a Convolutional Neural Network (CNN) to classify flower images into five categories: Daisy, Dandelion, Rose, Sunflower, and Tulip. The model is trained on the Flowers Recognition dataset with image augmentation techniques to enhance generalization.

cnn-keras coding data-science deep-learning enjoying flower-classification machine-learning numpy opencv2 pandas pathlib pillow python tensorflow testing training

Last synced: 30 Dec 2025

https://github.com/applicativesystem/numpy-builder

code getter and numpty operator for numpy operations

data-analysis numpy numpy-python shell-script

Last synced: 15 Aug 2025

https://github.com/dmitruzik/python_projects

All python projects are here

matplotlib numpy pandas python seaborn

Last synced: 10 Nov 2025

https://github.com/ellennewerkla/apriori-analise_cesta_de_mercado

Análise de Cesta de Mercado (Market Basket Analysis) utilizando o algoritmo Apriori para identificar regras de associação entre produtos em um conjunto de transações de supermercado.

apriori-algorithm jupyternotebook marketbasketanalysis mathplotlib mba numpy pandas python3

Last synced: 10 Nov 2025

https://github.com/tasninanika/australian-credit-approval-analysis-svm

This project uses a Support Vector Machine (SVM) Classifier to predict whether a credit application is approved (1) or denied (0) based on applicant features.

numpy pandas python3 scikit-learn svm-classifier

Last synced: 30 Dec 2025

https://github.com/zotho/grav_euler

Euler gravity compute

gravity numpy python

Last synced: 25 Dec 2025

https://github.com/martincastroalvarez/search-keras-gensim-elasticsearch

Search Engine using Word Embeddings, GloVe, Neural Networks, BART and Elasticsearch

elasticsearch gensim gensim-word2vec keras nlp numpy python scipy spacy word2vec

Last synced: 05 Oct 2025

https://github.com/linsanity03/fraud_detection_using_autoencoders

Leverage autoencoders, a type of neural network, for detecting fraudulent financial transactions by identifying anomalies in transaction patterns that deviate from the norm.

matplotlib numpy pandas pytorch seaborn

Last synced: 05 Oct 2025

https://github.com/harsha-yuvaraj/data-compression-and-decompression-tool

A specialized lossless file compression and decompression tool designed mainly for plain text, including programming files.

data-structures huffman-compression-algorithm lossless-compression-algorithm numpy python tkinter

Last synced: 05 Oct 2025