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.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/sivasurya681/financial-expense-tracker
The Financial Expense Tracker is a Python-based app built with Flet, Pandas, NumPy, and Matplotlib.pyplot for seamless expense management. It enables real-time tracking, categorization, and data visualization through bar and pie charts. Users can generate summaries, export/import data, and make informed financial decisions easily.
calculator-application differntial expense-tracker flet matplotlib-pyplot numpy pandas python salary-calculator total
Last synced: 09 May 2026
https://github.com/khaymanii/credit-card-fraud-detection-model
This model was built using python and Logistic Regression Machine Learning algorithm
matplotlib numpy pandas python sckit-learn
Last synced: 09 May 2026
https://github.com/aroojzahra908/machine-learning
This repository contains helpful guides and materials for easily understanding Pandas, NumPy, and Matplotlib libraries, which are essential tools for creating visual representations of data.
algorithms machine-learning-algorithms matplotlib numpy pandas
Last synced: 09 May 2026
https://github.com/chuvalniy/tulia
Contains self-implemented Machine Learning algorithms using only numpy.
boosting from-scratch knn learning logistic-regression machine ml numpy python random-forest regression sklearn testing xgboost
Last synced: 09 May 2026
https://github.com/sanjurajveer/market_basket_analysis
Finding pattern of bought objects through market basket analysis
apriori-algorithm association-rules numpy pandas python seaborn
Last synced: 09 May 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/liannekiarra/university-dissertation
Combining Machine Learning Techniques with Multi-Objective evolutionary Algorithms to Solve Real World Engineering Problems
artificial-intelligence engineering hypervolume matplot multi-objective-optimization neuralnetwork nsga-ii numpy pareto-front pareto-optimality pymoo python3 sklearn
Last synced: 09 May 2026
https://github.com/anker661/autograd-playground
A simple Numpy & Python based auto differentiation system that supports visualization before and after back-propagation.
auto-differentiation autograd computaion-graph jupyter-notebook numpy python3
Last synced: 09 May 2026
https://github.com/dmalexx/lab1_computervision
Computer Vision Intro
matplotlib matplotlib-python numpy opencv rgb
Last synced: 09 May 2026
https://github.com/arjunravi26/selenium
This repository contains code from my learning about Selenium for web scraping and automation.
numpy python selenium time undetected-chrome webdriver
Last synced: 09 May 2026
https://github.com/vadimkantorov/fasttsv
TSV parser for Python in pure vectorized NumPy code
numpy parsing simd tsv vectorized-code
Last synced: 09 May 2026
https://github.com/alexgustafsson/word-frequencies
Data and tools to compile word frequencies, trigrams and more for use with NLP, spelling correction etc.
language nlp nltk numpy python python3 sklearn spelling-correction trigram
Last synced: 10 May 2026
https://github.com/faisal-khann/python-practice
This is the section for python practice, where we engage in programming exercises to improve our Python skill.
numpy numpy-arrays pandas python
Last synced: 10 May 2026
https://github.com/vviveksharma/barcodescanner
The Bar Code scanning Application built using Computer Vision library such as Opencv in python the main objective of the project is to read the barcode that is being shown in the camera and decoding it and telling if the Database or Text file that is attached to it has that permitted decoded number if yes then it shows "Permitted" is green else "Not-Permitted" in red
Last synced: 10 May 2026
https://github.com/1adityakadam/computer-vision-approach-for-quality-inspection-of-steel-sheets
Machine Learning and Computer Vision project improves steel defect inspection using computer vision. A segmentation technique partitions steel sheet images into regions, enabling better defect analysis. U-Net is used for segmentation, and MobileNetV2 for classification. Performance is evaluated with the Dice Coefficient.
computer-vision machine-learning numpy pandas unet-image-segmentation
Last synced: 10 May 2026
https://github.com/dawoudtormos/rain_predicition_ml
This repository contains a machine learning project for rain prediction using historical meteorological data. The goal is to predict whether it will rain the next day based on weather measurements like atmospheric water vapor, cloud formation, and past rainfall records.
ai machine-learning machine-learning-algorithms matplotlib numpy seaborn sklearn
Last synced: 10 May 2026
https://github.com/dzakarias/waves
Fun with the sine function inspired by Chladni plates
Last synced: 10 May 2026
https://github.com/jupfu/beck-view-movie
Assemble mp4 video from list of images
multithreading numpy opencv python3 threadpool tqdm
Last synced: 10 May 2026
https://github.com/shibam120302/all_about_python
Here I upload python from basic to advance ,oops in python, dsa using python system design, numpy, pandas, data science, ML also. Follow @shibam120302 and star this repo.
numpy numpy-arrays oops-in-python pandas python python-dsa python-library python3 system-design tabula
Last synced: 10 May 2026
https://github.com/kartmaan/plotly-intervals
Group values from a Pandas Series according to given intervals and represent them graphically with Plotly
bar-chart grouping grouping-plots intervals intervals-chart numpy numpy-arrays orca pandas pandas-series percentile pie-chart plot plotly plotting values
Last synced: 10 May 2026
https://github.com/florasteve/ml-foundations-day2
Day-2 ML foundations: probability/stats refresh and NumPy logistic regression; notebooks with visuals.
data-science jupyter-notebook logistic-regression machine-learning matplotlib numpy statistics
Last synced: 10 May 2026
https://github.com/anshpg/exploring-ipl-rivalries-an-analysis-of-matches-from-2008-to-2022
In this project, I delved into an extensive analysis of IPL matches spanning from 2008 to 2022, utilizing a dataset sourced from Kaggle.com. My aim for this IPL season was to explore something novel, steering away from conventional analyses.
csv-files ipl kaggle-dataset matplotlib numpy pandas
Last synced: 10 May 2026
https://github.com/niteshchawla/loantap-logisticregression
Given a set of attributes for an Individual, determine if a credit line should be extended to them. If so, what should the repayment terms be in business recommendations?
confusion-matrix encoding feature-engineering featureimportance hyperparameter-tuning logistic-regression machine-learning numpy pandas-python precision-recall roc-auc-curve sklearn-metrics smote-sampling
Last synced: 10 May 2026
https://github.com/andersoncrs/aprendizaje_no_supervisado_kmeans_customers
Este repositorio contiene un análisis de datos de clientes de un centro comercial utilizando técnicas de aprendizaje no supervisado, específicamente K Means y clustering jerárquico. El objetivo del proyecto es segmentar a los clientes en grupos homogéneos para entender mejor sus comportamientos y características.
data-analysis kmeans-clustering matplotlib numpy seaborn visualization
Last synced: 10 May 2026
https://github.com/jatin-s16/neuron_from_scratch
Hey! I am learning to build neural networks from scratch without the use of built-in Python libraries.
deep-learning neural-networks nnfs numpy python
Last synced: 10 May 2026
https://github.com/susanketsarkar/nn-from-scratch
A pure NumPy implementation of a deep neural network, built for educational purposes and deep learning understanding. This project implements a multi-layer neural network with various features commonly found in modern deep learning frameworks.
deep-learning implementation-of-algorithms neural-network numpy python
Last synced: 10 May 2026
https://github.com/saagnik-mondal/chessengine
This is a simple and efficient chess engine implemented entirely in Python. It allows users to play chess against the computer, using an AI based on a Minimax algorithm with Alpha-Beta pruning for decision-making. The engine is designed to be easy to understand, extend, and play against the computer.
Last synced: 10 May 2026
https://github.com/relostar-devil/census-income-prediction
An end-to-end ML project using 1994 US Census data to classify income (>50K/<50K). The Jupyter Notebook covers data preprocessing, EDA, and model evaluation with multiple classifiers.
matplotlib numpy pandas scikitlearn-machine-learning seaborn
Last synced: 10 May 2026
https://github.com/iamfarrokhnejad/neural-network
A simple neural network without reliance on any NN library.
classification matplotlib mnist mnist-classification mnist-dataset mnist-handwriting-recognition neural-network neural-networks neuralnetwork neuralnetworks numpy pandas python
Last synced: 11 May 2026
https://github.com/adityarohatgi11/regression_analysis_london_crime
This project examines how police presence impacts crime rates in London using regression analysis, panel data, and a natural experiment from the 2005 London attacks.
data-wrangling numpy pandas regression-analysis statsmodels
Last synced: 11 May 2026
https://github.com/pdoup/atml-notebooks
Proposed assignment notebooks for Advanced Topics in Machine Learning tasks
active-learning cost-sensitive-learning imbalanced-data machine-learning multi-instance-learning multi-label-classification numpy scikit-learn
Last synced: 11 May 2026
https://github.com/parthds02/customer-segmentation-with-kmeans-clustering
Analyze customer behavior using Python and KMeans Clustering on transactional data. Features RFM analysis, data cleaning, clustering insights, and actionable visualizations to support business decision-making.
data-analysis data-visualization feature-engineering kmeans-clustering numpy pandas vscode
Last synced: 11 May 2026
https://github.com/omogbolahan94/google-play-store-app-analysis
Data exploration, data cleaning, interactive data visualisation and insight presentation
matplotlib numpy pandas plotly
Last synced: 11 May 2026
https://github.com/khalidelboray/image_processing
Notes about image processing
image-processing numpy python3
Last synced: 11 May 2026
https://github.com/samuel-schlemper-schlemuel/calculadora-de-media-variancia-e-desvio-padrao
Esse é um projeto do currículo do curso de analise de dados do FreeCodeCamp
Last synced: 11 May 2026
https://github.com/zilean12/digital-image-processing
Digital Image Processing
bit-plane-slicing computer-vision digital-image-processing numpy opencv warping
Last synced: 12 May 2026
https://github.com/diogoribeiro7/vortex2d
2D vortex particle method (Gaussian-core) with RK4, viscosity, plots, animations
cfd matplotlib numpy python simulation vortex-method
Last synced: 12 May 2026
https://github.com/tfiers/unitlib
📐 Physical units for NumPy arrays \ ⏱ Fast • Simple • High voltage
numpy python scientific-computing unitlib units
Last synced: 13 May 2026
https://github.com/jbizzlefoshizzle/weather_trends_vs_latitude
Pandas project analyzing possible correlation between latitude and max. temperature, wind speed, cloudiness, and humidity
json-api jupyter-notebook matplotlib-pyplot numpy weather-information
Last synced: 13 May 2026
https://github.com/andydevs/optipy
Optimization algorithms written in python
numpy optimization optimization-algorithms
Last synced: 13 May 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/prathicashettym/agriculturallanddetection
6th Semester SDG EL
flask keras matplotlib numpy pandas python seaborn streamlit tensorflow
Last synced: 13 May 2026
https://github.com/maroshmka/np-mlp-clf
Raw implementation of mlp classifier in python using numpy.
classification example-code learning machine-learning multilayer-perceptron neural-network numpy
Last synced: 14 May 2026
https://github.com/chicoyildiz/python-raytracing-demo
Interactive Python ray tracer (numpy + pygame) with a ceiling camera, dynamic resolution scaling, and a glowing bouncing fireball.
numba numpy python python3 raytracing
Last synced: 14 May 2026
https://github.com/pnguyen215/pycelize
Pycelize is a Flask application designed for processing Excel and CSV files. It provides RESTful APIs for common data operations including extraction, normalization, mapping, SQL generation, and file binding.
excel lib numpy openpyxl pandas py-app pycelize python-service python3
Last synced: 17 Jun 2026
https://github.com/dino-kupinic/pocolocosolver
algorithmic solution with 3D visualization
algorithms numpy panda3d puzzle pytest python solver
Last synced: 19 Jun 2026
https://github.com/jayemscript/lab-to-code
A complete Python learning roadmap for scientists and researchers — covering data science, biology, chemistry, physics, and mathematics with curated libraries, tools, and resources.
bioinformatics chemistry data-science jupyter-notebook machine-learning mathematics numpy pandas physics python research roadmap scientific-computing scikit-learn
Last synced: 19 Jun 2026
https://github.com/harshavardhanbommalata/knn_tutorial
K-Nearest Neighbors (KNN) is a simple yet powerful machine learning algorithm. Unlike models that learn parameters during training, KNN uses lazy learning—it stores the dataset and predicts by finding the closest neighbors, making decisions through majority voting.
machine-learning-algorithms mathematical-modelling matplotlib numpy pandas
Last synced: 20 Jun 2026
https://github.com/gerardomacedo/ml-from-scratch
Logistic regression from scratch (NumPy) with tests and CLI; compared vs scikit-learn
ci-cd from-scratch logistic-regresion machine-learning numpy python unittest
Last synced: 23 Jun 2026
https://github.com/jcm-ai/robust-mlops-elevating-machine-learning-to-production-scale
This project aims to address the challenge faced by the Office of Foreign Labor Certification in managing a high volume of job certification applications for employers seeking to hire foreign workers in the United States. By leveraging ML models, this project seeks to streamline the process of shortlisting visa applicants based on historical data.
aws-ec2 aws-ecr aws-s3 cicd-pipeline data-science docker-image end-to-end exploratory-data-analysis git github-actions html machine-learning-models mlops mlops-project model-deployment mongodb numpy pandas python yaml
Last synced: 09 Apr 2026
https://github.com/gyselle-marques/sobel-filter
Machine Learning: Image Processing with Sobel Filter.
colab-notebook image-processing machine-learning matplotlib numpy opencv python sobel sobel-filter
Last synced: 24 Jun 2026
https://github.com/moonshallow5/solar-system-simulation
A solar system simulation using the Beeman scheme and the Euler method
matplotlib-animation matplotlib-pyplot numpy
Last synced: 13 May 2026
https://github.com/rishabhmathur06/pytorch
This repository contains codes related to the PyTorch tutorial provided by Patrick Loeber
neural-network numpy pandas python pytorch sklearn
Last synced: 13 Apr 2026
https://github.com/mastermindromii/car-price-prediction-model
Here is My Regression Project based on Predicting Price of Car using Linear Regression.
linear-regression matplotlib numpy pandas python scikit-learn seaborn
Last synced: 13 Apr 2026
https://github.com/dmarks84/coursework_project_network-analysis-node-link-prediction
Project for University of Michigan Applied Data Science Specialization -- Analyzed network nodes and edges, developing custom features based on various scoring metrics; used features to train classifier model to predict node attribute (employee salary type) and future edges (employee connections)
classification cross-validation data-reporting databases eda grid-search matplotlib network-analysis numpy pandas python scikit-learn statistics supervised-ml visualization
Last synced: 13 Apr 2026
https://github.com/dharma-acha/imageclassification
This project is an interactive Streamlit web application using the VGG-13 model to classify images from the CIFAR-10 dataset. Users can upload images to receive real-time predictions and visual explanations of the model's decisions. The goal is to accurately classify images into one of the ten CIFAR-10 classes: airplanes, automobiles, birds, cats,
colab-notebook matplotlib numpy pandas python3 pytorch scikit-learn seaborn streamlit
Last synced: 13 Apr 2026
https://github.com/shreeparab1890/heart-attack-analysis-prediction-accuracy-85.24
This iPython Notebook implements the Analysis and Predictions for Heart Attack. The Analysis is done on the dataset to identify the key features which has a impact on Heart Attack. After the analysis and data cleaning, the dataset is used to train the model using different ML algorithm.
eda exploratory-data-analysis matplotlib numpy pandas plotly prediction python scikit sklearn
Last synced: 13 Apr 2026
https://github.com/nyx1311/toxicity-detector-using-bilstm
🚀 What we built: An AI-powered Women’s Safety & Well-Being Detector — a web app that flags multiple forms of online abuse in real time and offers tools for emotional recovery. 📊 Under the hood: BiLSTM + Word2Vec embeddings for deep, context-aware detection Trained on 21K+ labeled comments across 7 toxicity categories Built with Python, Tensor
epoch genism gpu keras-tensorflow matplotlib model nlp nlp-machine-learning nlpaug-textual numpy pandas pandas-library python3 streamlit tensorflow word2vec
Last synced: 14 Apr 2026
https://github.com/pythonhealthdatascience/stars-reproduce-lim-2020
Assessing the computational reproducibility of Lim et al. 2020 as part of STARS.
covid-19 covid19 discrete-event-simulation numpy open-science pandas python quarto reproducibility reproducible-research simulation
Last synced: 13 Apr 2026
https://github.com/lesiaukr/mathematic_for_cs_colab_hw
Master's degree | HW | Mathematics for Computer Science course | Homeworks
goit google-colab home-works latex linear-algebra mathematics-for-computerscience matrices numpy python vectors
Last synced: 13 Apr 2026
https://github.com/ediloaz/linear-regression-with-lists-numpy-and-pytorch
This was done like the homework #01 of Machine Learning Course, of Computer Science Master.
arrays-raw jupyter-notebook machine-learning numpy python pytorch
Last synced: 13 Apr 2026
https://github.com/mmerlyn/analysis-of-tomato-prices
Forecasting tomato prices in Karnataka using machine learning to help farmers make better crop planning and selling decisions.
css flask html matplotlib numpy pandas python scikit-learn seaborn
Last synced: 06 Jul 2025
https://github.com/mohamed15058/amazon-sales
amazon-sales
dashboard excel machine-learning-algorithms matplotlib numpy pandas powerbi report seaborn
Last synced: 13 Apr 2026
https://github.com/mooseburger1/plotting-and-analyzing-weather-trends-gis-temp-data-
Plotting and Analyzing GIS Temperature Data from 1880 to Present
data-science data-visualization matplotlib numpy pandas-dataframe python-3
Last synced: 13 Apr 2026
https://github.com/spear97/montecarlo-simulaton
This project involved developing a Monte Carlo Simulation using Python, implemented with libraries like NumPy, Pandas, and Matplotlib within Visual Studio. The program's primary goal is to generate figures illustrating compound interest results over time for a specified amount.
data-science matplotlib matplotlib-figures numpy pandas-python python python-3 python3
Last synced: 13 Apr 2026
https://github.com/harshs472/real-time-object-detection
Real time object detection that detects approximately 80 objects!!!!
Last synced: 27 Apr 2026
https://github.com/tkc/node-neural-network
Built with only pure typescript, neural network iris sample.
javascript machine-learning neural-network node numpy typescript
Last synced: 09 Apr 2026
https://github.com/subratamondal1/heart-attack-prediction
Heart Attack Prediction of patients based on the required data. Data Ingestion - Data Preparation - Exploratory Data Analysis (EDA) - Modelling - Evaluation.
data-analysis data-science data-visualization kaggle-dataset machine-learning matplotlib-pyplot numpy pandas python3 scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/lmizner/codecademy_marketing_data_anlaytics
Final project as a part of the Codecademy Data Science: Analytics career path
bar-chart boxplot count-plot data-cleaning exploratory-data-analysis for-loops heatmap histogram jupyter-notebook matplotlib-pyplot numpy pandas python regression-plot scatter-plot seaborn
Last synced: 12 Apr 2026
https://github.com/patex1987/ghcn-temperature-dataset
Analysis of GHCN (Global Historical Climatology Network) temperature dataset using Numpy
climate-data jupyter-notebook numpy python temperature-data
Last synced: 10 May 2026
https://github.com/anikdascodes/fantasy-cricket-project
🏏 Python simulation for generating 20K+ unique fantasy cricket teams with probability-based player selection and constraint optimization. Advanced algorithms, data analysis & visualizations included.
algorithm constraint-satisfaction cricket data-science fantasy-sports jupyter machine-learning numpy optimization pandas plotly probability python simulation sports-analytics
Last synced: 28 Apr 2026
https://github.com/soumyapro/hand-tracking-volume-controller
This project leverages computer vision and machine learning to interpret hand gestures and movements, enabling interaction with volume device of your pc without the need for physical controllers.
mediapipe numpy opencv-python pycaw time
Last synced: 13 Apr 2026
https://github.com/yash-3-bit/pubg-game-prediction
catboost-model data-visualization feature-engineering numpy pandas
Last synced: 13 Apr 2026
https://github.com/adityashinde716/generating-images-with-gan-generative-adversarial-network-
Built a image generator deep learning model using GAN (Generative Adversarial Network) using MNIST dataset for generation.
adam-optimizer batchnormalization binarycrossentropy checkpoint deep-learning deep-learning-algorithms discriminator gan generative-adversarial-network generator glob imageio keras machine-learning matplotlib neural-network numpy os tensorflow
Last synced: 07 Oct 2025
https://github.com/nihanthbhargav/time-series-stock-market
This project combines computer vision and NLP by segmenting pet images with a U-Net model and generating captions using CNN-RNN/LSTM. Using the Oxford-IIIT Pets dataset, it demonstrates a unified pipeline that integrates pixel-level segmentation with automatic caption generation for meaningful image understanding.
matplotlib numpy pandas plotly python scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/elvisrock/government_analysis
Esse projeto, tem como objetivo, analisar, explorar algumas técnicas e propor uma sugestão ao governo de forma geral, sem qualquer viés politico.
data-science machine-learning numpy pandas python sklearn
Last synced: 05 Apr 2026
https://github.com/patilsukanya/assignment-06.-logistic-regression
Used libraries and functions as follows:
classifier concatination confusion-matrix eda linear-models logistic-regression logistic-regression-algorithm logit-model matplotlib-pyplot numpy one-hot-encoding pandas python roc-auc-score roc-curve seaborn
Last synced: 05 Oct 2025
https://github.com/dibsthegreat/titantic-dataset-analytics
DASC4850 Final Project where I did EDA to determine the survivability of Titanic guests depending on Age, Gender, Wealth, etc.
data-science data-visualization matplotlib numpy pandas python random-forest-classifier
Last synced: 13 Apr 2026
https://github.com/mehediehteshum/minesweeper
Building classic 'Minesweeper' game from scratch using Pygame with VS Code.
Last synced: 06 Oct 2025
https://github.com/minhtungonep/android-traffic-analysis
Android malware detection project analyzing network traffic patterns in a telecommunications context. Uses statistical hypothesis testing and data visualization to evaluate traffic features like DNS query times, TCP packets, and volume bytes for distinguishing between benign and malicious Android applications.
android-library bachelor-project bachelor-thesis cybersecurity cyface data-visualization hypothesis-testing malware-detection matplotlib network-traffic numpy pandas python scipy sdk statistical-analysis telecommunications voip-security
Last synced: 09 May 2026
https://github.com/sducournau/ign_lidar_hd_dataset
🏗️ Comprehensive Python library for processing IGN LiDAR HD data into machine learning-ready datasets for Building Level of Detail (LOD) classification. Features GPU/CPU processing, smart data management, and complete ML pipeline integration.
building-classification data-processing dataset france geospatial gis ign lidar lidar-hd numpy point-cloud scikit-learn
Last synced: 20 Jan 2026
https://github.com/ejw-data/python-bitwise-operators
Difference between bitwise and logical operators when using pandas
Last synced: 08 May 2026
https://github.com/18mahi/tweet-sentiment-analysis
Classify tweets into happy, sad, angry, excited, and neutral with this interactive Python model. Combining TF-IDF text features with engineered numeric features like emoji sentiment, polarity, subjectivity, and punctuation counts, it demonstrates intermediate-level NLP, feature engineering, and visualization skills.
data-science data-visualization jupyter-notebook machine-learning matplotlib nlp numpy pandas sklearn string textblob
Last synced: 30 Apr 2026
https://github.com/isratafrin826/linear-regression-model
Linear Regression is a statistical method used to model the relationship between a dependent variable (target) and one or more independent variables (features) by fitting a straight line (regression line) to the data. It predicts the target value based on the linear relationship and is commonly used for forecasting and trend analysis.
googlecolaboratory numpy pandas sklearn
Last synced: 03 May 2026
https://github.com/raveenaross/bulldozer-price-prediction
Predicting the sale price of bulldozers using machine learning
matplotlib numpy pandas sklearn time
Last synced: 07 Oct 2025
https://github.com/nimaabediforud/heart-disease-prediction
The project highlights the end-to-end workflow of data preprocessing, model building, evaluation, and comparison for a healthcare prediction task.
biomedical-applications biomedical-data-science biomedical-engineering classification deep-learning machine-learning neural-networks numpy pandas prediction python seaborn sklearn tensorflow
Last synced: 15 Apr 2026
https://github.com/prarthana-singh/bangalore-house-price-predictor
🏡 Bangalore House Price Prediction – A Machine Learning model to predict house prices in Bangalore using real estate data. Built with Linear Regression, Python, Pandas, NumPy, and Scikit-Learn.
data-analysis eda house-price-prediction linear-regression machine-learning numpy pandas python real-estate regression scikit-learn
Last synced: 19 Apr 2026
https://github.com/yahiazakaria445/arabic-answer-grading-using-sequence-models
An NLP project on Arabic data using LSTM model
matplotlib nltk numpy pandas scikit-learn tensorflow
Last synced: 08 Oct 2025
https://github.com/thkox/uni_2023-content-based-image-retrieval
This project is a team assignment for the "Image Analysis" course, offered in the 7th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.
7th-semester cartesian-product content-based-image-retrieval department-of-informatics hyperedge-similarity-calculation hypergraph image-analysis matplotlib networkx numpy python rank-normalization scipy torchvision university-of-piraeus
Last synced: 08 Oct 2025
https://github.com/NetBr3ak/Planetary-System-Simulation
Planetary System Simulation enables users to simulate the trajectories of two planets in a gravitational system. Through a simple web interface, users can predict planetary movements using technologies such as Flask, NumPy, and SciPy.
astronomy flask gravitational-dynamics numerical-analysis numpy physics planetary-systems scipy simulation web-application
Last synced: 08 Oct 2025
https://github.com/ercodex/predicting-new-medicines-with-sgd-classifier
"Shittiest Model of the Competition" award winner!
classifier-model dask kaggle-competition machine-learning numpy python scikit-learn
Last synced: 14 Apr 2026