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: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/anthippi/naive-bayes-imdb-classification
A custom Naive Bayes classifier for sentiment analysis of movie reviews from the IMDb dataset, utilizing feature selection based on Information Gain and comparing its performance with scikit-learn's BernoulliNB.
classification imdb matplotlib naive-bayes-classifier numpy pandas scikit-learn sklearn
Last synced: 09 Apr 2026
https://github.com/kristijanh1998/reu-summer-internship
Helium Network Blockchain Data Analysis - Big data mining research project for Cybersecurity Research in a Multidisciplinary Environment internship program (Old Dominion University, Summer 2022)
analytics api big-data blockchain-technology cryptocurrency data-mining data-science helium-blockchain helium-network internet-of-things json matplotlib numpy pickle python requests-library-python
Last synced: 10 Apr 2026
https://github.com/alanmenchaca/numpy-notes
collection of notes to learn numpy!
jupyter-notebooks numpy python
Last synced: 08 May 2026
https://github.com/maliksaqib786/codealpha_projectname
IRIS CLASSIFICATION | Internship Project at Code Alpha
data-science logistic-regression machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/kientech/breast-cancer-classification-using-machine-learning
The goal is to leverage data-driven models to assist in the early detection and diagnosis of breast cancer, potentially aiding healthcare professionals in making informed decisions
data-science machine-learning numpy pandas python3 scikitlearn-machine-learning seaborn
Last synced: 22 Mar 2025
https://github.com/offthetab/gans
Just testing out different GAN models
gans matplotlib numpy seaborn torch torchvision
Last synced: 19 May 2026
https://github.com/offthetab/statistics_homework
Практические работы по статистике МИРЭА 3 курс.
numpy pandas python statsmodels
Last synced: 05 Apr 2026
https://github.com/al-ghaly/global-warming-analysis
Analyze the effect of global warming on the average temperature of some of USA states.
matplotlib-pyplot numpy python python-visualization
Last synced: 10 May 2026
https://github.com/pramodyasahan/learn-ml
This repository serves as both a personal learning diary and a resource for others interested in understanding and applying machine learning concepts. The projects are categorized based on the type of ML model and are implemented in Python using libraries like scikit-learn, pandas, and numpy.
classification clustering machine-learning matplotlib numpy pandas regression scikit-learn supervised-learning unsupervised-learning
Last synced: 07 Apr 2026
https://github.com/chewzzz1014/python-libraries
jupyter-notebook learning numpy pandas pygal python seaborn sklearn tensorflow urllib
Last synced: 12 Apr 2026
https://github.com/carlescn/snake_game
An implementation of the classic Snake game using Pygame and NumPy.
numpy pygame python snake-game
Last synced: 15 Apr 2026
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: 10 Apr 2026
https://github.com/aneeshmurali-n/ann-diabetes-prediction
Predicting diabetes progression using an Artificial Neural Network (ANN). This project leverages the scikit-learn diabetes dataset for training and evaluation. Includes data preprocessing, model building, and performance visualization.
ann data-preprocessing data-visualization deep-learning diabetes-prediction exploratory-data-analysis keras machine-learning matplotlib neural-network numpy pandas regression scikit-learn seaborn tensorflow visualization
Last synced: 07 Apr 2026
https://github.com/emanuelefavero/machine-learning
This repository contains code for various machine learning concepts and algorithms
algorithms machine-learning numpy pandas python
Last synced: 13 Apr 2026
https://github.com/farzeennimran/fashion-mnist-dataset-classification-using-neural-network
Implementation of a Multi-layer Perceptron classifier with hyperparameter tuning and k-fold cross-validation employing GridSearchCV for classifying images on the Fashion MNIST dataset 👗👚👖
artificial-intelligence data-analysis data-mining data-science dataset deep-learning fashion-mnist-dataset gridsearchcv hyperparameter-tuning kfold-cross-validation machine-learning multilayer-perceptron-network neural-network numpy pandas python sklearn
Last synced: 03 Apr 2026
https://github.com/kylehperez/mushroomnet
This API is for research purposes ONLY and is NOT to be used for food-safety or medical advice. Mushroomnet is a machine learning neural network for classifying mushrooms as poisonous or edible. The model was trained on data from uni.edu: over 5,000 instances of mushrooms, with 22 qualitative features and a determination of poisonous or edible.
artificial-intelligence botany flask-api machine-learning mycology neural-network numpy python3 pytorch scikit-learn
Last synced: 09 Apr 2026
https://github.com/jezbravo/lstm
Stock predictions with LSTM
jupiter-notebook keras keras-neural-networks keras-tensorflow lstm lstm-model lstm-neural-networks machine-learning matplotlib numpy pandas pandas-dataframe python scikit-learn scikitlearn-machine-learning stock-price-prediction
Last synced: 08 Apr 2026
https://github.com/fwcd/minq
Tiny quantum gate library based on NumPy
numpy python quantum-computing
Last synced: 02 Jan 2026
https://github.com/dmarks84/coursework_project_ml-classifier-eval-selection
Project for University of Michigan Applied Data Science Specialization -- Predicted viewer engagement based on features related to video metrics; evaluated a large set of classifiers under different scoring metrics to select the "optimal" one.
classification cross-validation data-modeling data-reporting data-visualization databases dataframes eda grid-search matplotlib numpy pandas python scikit-learn statistics supervised-ml
Last synced: 02 Apr 2026
https://github.com/thiagohrcosta/calculator-app
Calculator APP is a Python-based API developed as part of the Rockeseat specialization in Python. The project simulates a real-world application while applying best practices in software design, architecture, and scalability. The main focus is on:
api design-patterns flask numpy python
Last synced: 08 May 2026
https://github.com/abdur-rahim-mygit/ml-movie-recommendation-system
This project is a Machine Learning-based Movie Recommendation System developed during my internship at YBI Foundation. The system uses collaborative filtering techniques to recommend movies based on user preferences and behavior. It was implemented on Google Colab using Python and popular machine learning libraries.
google-colab machinelearning movie-recomendation-system numpy pandas pyhton
Last synced: 02 Feb 2026
https://github.com/ankitsharma-tech/classification-of-arrhythmia-using-ecg-data
A machine learning project to detect and classify arrhythmias from ECG signals using Python, scikit-learn, and TensorFlow. Includes data preprocessing, model training, and evaluation.
arrhythmia biomedical-signal-processing cardiology classification deep-learning ecg ecg-classification healthcare machine-learning mit-bih-dataset numpy python scikit-learn scipy signal-processing tensorflow time-series-analysis
Last synced: 07 Apr 2026
https://github.com/athiyaman-m/brain-tumor-classification-using-deep-learning
• This deep learning model is developed to classify and identify different types of brain tumors, as well as determine their existence, using Convolutional Neural Networks. This is achieved through the training and testing of 3264 MRI images.
keras numpy opencv pandas sklearn tensorflow
Last synced: 08 Apr 2026
https://github.com/fikri-rouzan/energy-consumption-prediction
Final Project for the AI/ML Weekly Class by Google Developer Group on Campus (GDGoC) UIN Jakarta.
jupyter-notebook matplotlib numpy pandas python scikit-learn scipy seaborn
Last synced: 07 Apr 2026
https://github.com/rajatnai49/data-science-practices
In this, I am adding all the Python exercises with the solutions related to data handling, analysis, and visualization using libraries such as NumPy, Pandas, and Matplotlib for data analysis and visualization.
jupyter-notebook matplotlib numpy pandas python
Last synced: 09 Apr 2026
https://github.com/jpcadena/pharmacy-prices-prediction
Prices prediction project for Pharmacy products.
artificial-intelligence data-analysis data-science deep-learning keras machine-learning machine-learning-models neural-network numpy pandas pharmacy prediction price-prediction pylint python scikit-learn supervised-learning tensorflow
Last synced: 07 Apr 2026
https://github.com/maheera421/supervised-machine-learning
Implementation of necessary supervised machine learning algorithms for regression and classification.
classification classification-models cost-function feature-engineering feature-scaling gradient-descent linear-function linear-regression logistic-loss logistic-regression machine-learning matplotlib numpy regression-models regularization-to-avoid-overfitting scikit-learn sigmoid-function squared-error-cost-function vectorization
Last synced: 11 Apr 2026
https://github.com/a-poor/qgates
Small helper library for working with quantum matrices
bell-states numpy pypi pypi-package python quantum-computing
Last synced: 04 May 2026
https://github.com/muhdhammad/machine-learning
Crafted for hands-on learning and implementation of ML with scikit-learn
data-science jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 07 Apr 2026
https://github.com/shweta189/sms-spam-detection
Detecting Spam SMS's messages using machine learning algorithms.Utilizing NLP techniques such as tf-idf vectorization and machine learning algorithms like naive bayes and logistic regression for classifications. Integrated with Streamlit to create an interactive web app where users can input a message and instantly check if it's spam or not.
eda machine-learning-models nltk numpy pandas plotly python seaborn streamlit
Last synced: 07 Apr 2026
https://github.com/Kikobuf/3d-file-toolkit
Pure-Python toolkit for inspecting, editing, converting, and analyzing 3D print files, supports 3MF, STL, OBJ, PLY, and GLB. Detects source software (Bambu, Orca, Prusa, Cura, Fusion 360, etc.), checks compatibility across 15 CAD and slicer programs, and works with any AI coding agent (Claude, Cursor, ChatGPT, Manus). Zero dependencies beyond numpy
3d-printing 3mf ai-agent bambu chatgpt cluade cluade-code gemini manus numpy obj orca-slicer prusaslicer python stl
Last synced: 20 May 2026
https://github.com/anathonic/big-data-mining-project
This repository contains the implementation of a machine learning project aimed at predicting movie ratings based on user reviews and tags. The data used for this project comes from the MovieLens dataset, which includes ratings and tags for over 9000 movies collected from 1995 to 2016.
decision-tree-regression gradient-boosting-regressor linear-regression machine-learning matplotlib mlp-regressor numpy pandas python random-forest-regression scipy sklearn
Last synced: 26 Jun 2025
https://github.com/samuelbarbosadev/dataexpert
Elaborar modelos estatísticos, criar algoritmos, solucionar problemas e expandir a estratégia de negócios.
classification clustering crisp-dm data-cleaning data-visualization data-wrangling descriptive-statistics inferential-statistics inferre machine matplotlib numpy pandas pyplot recomendation-algorithm regresion-lineal seaborn skit-learn supervised-machine-learning
Last synced: 17 Apr 2026
https://github.com/open-risk-academy/academy-course-dat31055
Support material for Academy course DAT31055
linear-algebra matrix-libraries ndarray numpy
Last synced: 20 May 2026
https://github.com/shubh-bharadwaj/zomato-dataset-analysis
Zomato Dataset Analysis
data-analysis data-science data-visualization numpy pandas python sklearn
Last synced: 07 Apr 2026
https://github.com/manshreet27/mrs
This Movie Recommendation System is a web-based application built using Python and Streamlit, designed to provide movie recommendations based on user preferences. It utilizes TMDb API for fetching real-time movie details and Kaggle's TMDB 5000 Movies dataset for content-based filtering.
numpy pandas python scikit-learn streamlit tmdb-5000-movies-dataset-from-kaggle tmdb-api-for-fetching-real-time-movie-data
Last synced: 07 Apr 2026
https://github.com/shekharkram/project
A collection of data analytics projects showcasing skills in data cleaning, exploration, visualization, and basic SQL queries. Designed to demonstrate entry-level data analyst competencies using real-world datasets and tools.
datacleaning excel jupyter-notebook mysql numpy pandas postgresql python sql
Last synced: 07 Apr 2026
https://github.com/badranalyst/restaurant-reviews-sentiment-analysis-nlp-case-study
This project analyzes restaurant reviews using Natural Language Processing (NLP) for sentiment analysis. It covers data exploration, pre-processing (NLTK text cleaning), model building, prediction, and deployment. The goal is to predict sentiment from reviews using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
data-analysis data-science eda exploratory-data-analysis matplotlib-pyplot model model-building numpy pandas pre-processing predictive-modeling python seaborn
Last synced: 13 Apr 2026
https://github.com/badranalyst/udemy-course-data-analysis-with-pandas-and-visualization-libraries
Explores Udemy course data using NumPy and Pandas for data manipulation. Provides insights into course topics, ratings, and pricing with visualizations created using Matplotlib, Seaborn, and Plotly.
data-science dataset eda exploratory-data-analysis matplotlib matplotlib-pyplot numpy pandas plotly python seaborn
Last synced: 16 Apr 2026
https://github.com/Akhil-krishnan-r/super_market_analysis
The growth of supermarkets in most populated cities are increasing and market competitions are also high. This dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this dataset
data-visualization matplotlib numpy pandas seaborn
Last synced: 03 Feb 2026
https://github.com/myahninsi/housing-price-prediction-ml
Final project for Big Data Visualization for Business Communications 01 (DSMM Group 1). Analyzes housing data, identifies key price factors, and builds predictive models using machine learning. Includes Power BI dashboards for interactive visualizations and Flask for deployment.
elastic-net lasso-regression linear-regression matplotlib numpy pandas ridge-regression scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/girishkolhe/bike-sharing-multiple-linear-regression-assignment
Assignment for building a linear regression model for predicting the demand for bike sharing
data-science data-visualization eda linear-regression machine-learning matplotlib numpy pandas-dataframe python rsquare-values seaborn sklearn-library statsmodels vif
Last synced: 02 May 2026
https://github.com/linsanity03/particle-in-potential-well
Visualizing the Wavefunction and Probability density of a Particle in a 1D Infinite Potential Well
jupyter-notebook matplotlib-pyplot numpy probability-density schrodinger-equation wavefunction-visualisation
Last synced: 28 Apr 2026
https://github.com/nermeenkamal/image-processing-system
This Python application provides a graphical user interface (GUI) for performing various image processing operations. Users can upload, manipulate, and save images using a range of techniques, including grayscale conversion, binary conversion, histogram equalization, and more.
matplotlib numpy opencv python tkinter
Last synced: 01 May 2026
https://github.com/somenath203/loan-status-prediction-backend
Click below to visit the swagger docs of the website
fastapi jupyter-notebook loan-prediction-analysis numpy pandas randomforestclassifier render scikit-learn
Last synced: 10 Apr 2026
https://github.com/bharath-tars/deeptumor
DeepTumor is a project aimed at developing a deep learning model with over 1 million parameters using TensorFlow. with automatic reporting feature
keras machine-learning numpy pandas pyhton tensorflow webdevelopment
Last synced: 10 Apr 2026
https://github.com/iv4n-ga6l/geometric-shapesrecognizer-in-image
Geometric shapes recognizer API built in python
api-rest flask numpy opencv python shaperecognitionapi
Last synced: 20 Apr 2026
https://github.com/separatrixxx/tmandcm_labs_3_sem
👓 Laboratory works for 3 semester of MAI on theoretical mechanics
matplotlib numpy python theoretical-mechanics
Last synced: 20 May 2026
https://github.com/vivekmodak3/multiple-disease-prediction-system--streamlit-webapp
This repository contains the codebase for "Multiple Disease Prediction Streamlit App". The training notebooks & the datasets are also provided in the respective folders.
machine-learning-algorithms numpy pandas python3 scikitlearn-machine-learning streamlit
Last synced: 07 Apr 2026
https://github.com/NishuMehta/Netflix-Data-Analytics
Netflix Data: Cleaning, Analysis and Visualization
jupyter-notebook matplotlib-pyplot numpy pandas python python3 seaborn vscode
Last synced: 14 Mar 2025
https://github.com/aikogamer101/exploratory-data-analysis
Using Python to analyze a beauty product dataset. A complete EDA.
analytics business-intelligence datacleaning datadiscovery dataengineering dataexploration folium matplotlib numpy pandas python3 seaborn
Last synced: 14 Mar 2025
https://github.com/HarshilChampaneri/Titanic_Survival_Prediction
I have Created a Machine Learning Model based on the Logistic Regression algorithm. This Model is capable of predicting whether the person will survive or not survive based on the given data of that particular person.This Model is highly accurate in predicting the result.
artificial-intelligence jupyter kaggle logistic-regression machine-learning matplotlib numpy pandas python seaborn titanic-kaggle titanic-survival-prediction
Last synced: 30 Dec 2025
https://github.com/jigyasag18/fake-news-prediction-project
The Fake News Prediction App Repository offers a machine learning project that focuses on identifying the authenticity of news articles as fake or real. It uses a dataset of 20,000 articles and employs methods such as TF-IDF vectorization and the Porter stemming algorithm, achieving around 97% classification accuracy with logistic regression model.
data datapreprocessing logistic-regression machine-learning machine-learning-algorithms numpy pandas prediction stemming vectorization
Last synced: 08 Jun 2026
https://github.com/rixiiz/image-classifier
An AI model that can classifier uploaded images
artificial-intelligence cv2 image-recognition mobilenetv2 numpy openai openai-api pil streamlit tensorflow
Last synced: 10 Apr 2026
https://github.com/the-developer-306/neural-style-transfer
Neural Style Transfer project leveraging TensorFlow and VGG19 to blend artistic styles with content images. Features include style and content initialization, multi-layer feature extraction, total variation loss, and post-processing enhancements like sharpening, upscaling, and brightening.
deep-learning image-processing neural-style-transfer numpy opencv-python post-processing tensorflow transfer-learning vgg19
Last synced: 01 May 2026
https://github.com/edegan-furb/conwaygameoflife
This project is a simulation of Conway's Game of Life using Python with the Pygame library.
conways-game-of-life numpy pygame python
Last synced: 29 Apr 2026
https://github.com/raksh710/diet_recommendation_fastembed
Recommends a recipe along with its full description using fastembed library and
docker docker-image dockerfile dockerhub-image fastapi fastembed heroku-app heroku-deployment nlp-machine-learning numpy pandas recommender-system uvicorn
Last synced: 02 Feb 2026
https://github.com/pyfig/s21_data-science-bootcamp
School21 Bootcamp Data Science
data data-science numpy pandas python school21
Last synced: 26 Jun 2025
https://github.com/MuhammedMorad/Egypt-Premier-Fashion-Sales-Analysis
Egypt’s Premier Fashion Sales Analysis is a data-driven project that provides interactive sales insights using Streamlit, Power BI, and Pandas. It analyzes sales trends, customer behaviors, and product performance while offering real-time dashboards and downloadable reports. helping businesses make informed, data-driven decisions. 🚀
matplotlib numpy pandas plotly python seaborn streamlit
Last synced: 30 Dec 2025
https://github.com/gauravpatil04/ml
This repo is on "Basics skills required for Machine Learning"
matplotlib numpy pandas python seaborn
Last synced: 11 Jul 2025
https://github.com/josewebdev2000/mean-variance-calculator
My Solution to the first challenge of the Data Analysis with Python certification of Freecodecamp
data-science freecodecamp-challenge numpy python
Last synced: 20 May 2026
https://github.com/anodicpassion/printing-accuracy-analyzer
This project provides a web-based application for analyzing the print quality of scanned documents by comparing them against a template. It identifies issues such as misalignment and blur, providing visual feedback and quantitative metrics.
Last synced: 20 May 2026
https://github.com/iankitnegi/datapy
Welcome to DATAPy! This repo contains my Python coding projects for data science, featuring data manipulation, analysis, and visualization. Stay tuned for updates and new content!
basic-programming matplotlib numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/amithjoseph777/gourmethaven-case-competition
Predictive analytics case competition project from the Master of Science in Business Analytics course at the College of Business, University of Louisville. Our team analyzed customer response trends for Gourmet Haven, developed a predictive model, and ranked in the Top 5 out of 25 teams.
google-colab jupyter-notebook numpy pandas r scikit-learn
Last synced: 10 Apr 2026
https://github.com/shankhadweep/diabetes-prediction-systemv3
This project demonstrates a machine learning solution for predicting diabetes based on user-provided health data. The application uses Streamlit for an interactive web interface and advanced interpretability tools like SHAP and permutation importance to explain model predictions.
jupyter-notebook machine-learning matplotlib numpy pandas plotly randomforestclassifier sckit-learn seaborn streamlit-webapp
Last synced: 01 May 2026
https://github.com/ola-kaznowska/first-steps-in-numpy
My first steps in the NumPy library
mathematics numpy python python3
Last synced: 20 May 2026
https://github.com/fjohnson87/planning-and-feasability
Data-driven feasibility analysis using pandas, seaborn, and FAO food supply data
Last synced: 04 May 2026
https://github.com/izhaan0/predict-marks-based-on-study-hours
Student Marks Predictor is a machine learning project that predicts a student’s exam scores based on the number of study hours. It uses Linear Regression to learn the relationship between study hours and marks, and provides both command-line and interactive Streamlit web interfaces for prediction and visualization.
data-visualization joblib jupyter-notebook machine-learning machine-learning-algorithms matplotlib-pyplot numpy pandas pandas-dataframe pickle python scikit-learn seaborn
Last synced: 05 Apr 2026
https://github.com/elifftosunn/textdataclean
Kirli veri çekildiğinde ön işleme adımlarına gerek kalmadan model eğitimi için hazır hale getirmek amacıyla yapılan uygulamadır.
corpus deasciifier morphological-analysis ngram nltk numpy pandas sentence-embedding sentence-tokenizer stemmer stopwords string turkish turkish-sentence-tokenizer word-tokenizer
Last synced: 20 May 2026
https://github.com/saattrupdan/neural_network
Homemade neural network from scratch in numpy.
Last synced: 20 May 2026
https://github.com/kr1shnasomani/genagenet
Gender and Age recognition from face images
computer-vision deep-learning neural-network numpy opencv
Last synced: 21 Jul 2025
https://github.com/kr1shnasomani/speedvision
Vehicle speed detection using Computer Vision, Deep Learning and Neural Network
bytetrack computer-vision deep-learning neural-network numpy opencv pytorch supervision tqdm yolo
Last synced: 05 Mar 2025
https://github.com/hanannazri/predictive-customer-churn-modelling-with-price-sensitivity-insights-
As a part of BCG Data Science Project, I developed a predictive churn-risk model for XYZ energy utility by engineering price, consumption and contract features and training XGBoost and Random Forest models to identify customers most likely to churn at current prices.
bcgx data-visualization exploratory-data-analysis feature-engineering jupyter jupyter-notebook model-training-and-evaluation numpy pandas random-forest scikit-learn xgboost
Last synced: 19 Aug 2025
https://github.com/damiieibikun/data-science-capstone-project-ibm---space-x-falcon-9-landing-predictions
Applied Data Science Capstone Project for Cousera's IBM Data science professional
beautifulsoup4 classification dash-plotly data-science data-visualization ibm-capstone interactive-visualizations machine-learning matplotlib numpy pandas python requests-library-python seaborn sklearn spacex-launches
Last synced: 13 Apr 2026
https://github.com/jonad/customer_segment
Creating customer segments using unsupervised machine learning algorithm.
clustering clustering-algorithm gaussian-mixture-models jupyter-notebook kmeans-clustering matplotlib numpy pandas python scikit-learn
Last synced: 10 Apr 2026
https://github.com/atharvkadammm/suicide-prediction-system
A machine learning project predicting suicide risk based on multiple socio-economic and environmental factors using data mining techniques.
csv data-analysis data-science data-visualization datamining exploratory-data-analysis feature-engineering machine-learnin matplotlib mental-health numpy pandas riskassesment seaborn sklearn suicide-prediction supervised-
Last synced: 01 Jul 2025
https://github.com/atharvkadammm/calmlytic
An end-to-end machine learning project that predicts anxiety severity using classification models (Naive Bayes, Decision Tree, SVM, Logistic Regression, XGBoost), based on lifestyle, health, and behavioral features.
anxiety-prediction classification csv data-analysis data-preprocessing-and-cleaning data-science data-visualization ensemble-learning logistic-regression machine-learning-algorithms matplotlib mental-health numpy pandas python sci-kit-learn seaborn supervised-learning svm xgboost
Last synced: 21 Jun 2025
https://github.com/ayushhhh123/diwali_sales_analysis
This project provides a comprehensive analysis of Diwali sales data using Python. The primary goal is to derive business insights from customer purchasing behavior during the Diwali festival season. This analysis can help improve marketing strategies, customer targeting, and overall sales performance.
matplotlib numpy pandas python seaborn
Last synced: 07 May 2026
https://github.com/jt4v4res/neural-networks-and-deep-learning
Some neural networks implementation with purpose of understanding the use of this learning algorithm and deep learning.
deep-learning machine-learning machine-learning-algorithms neural-networks numpy perceptron-learning-algorithm
Last synced: 16 Jan 2026
https://github.com/ahmedabdalkreem/naive-bayes
Show what types of naive-bayes and how to use model and deal with data ( Numerical, Categorical and Mixed between Numerical and Categorical )
Last synced: 10 Apr 2026
https://github.com/trivediayush/python-bootcamp
This repository contains code, notes, and examples from my journey learning Python and its essential libraries.
flask matplotlib numpy pandas python python3 pythonbootcamp
Last synced: 01 Jul 2025
https://github.com/davgiles/ML-Projects
This repository contains my projects from the Data Science & Business Analytics Post-Graduate Program through UT Austin.
eda matplotlib numpy pandas python scikit-learn scipy seaborn visualization xgboost
Last synced: 20 Jan 2026
https://github.com/makoczoro/credit-default-risk-analysis-eda
This repository contains the detailed EDA Analysis of Home Credit Group Dataset. The analysis aims to find demographic and financial factors associated with higher or lower default risks, providing actionable insights for risk mitigation and improved lending practices
bivariate-analysis correlation-analysis data-preprocessing exploratory-data-analysis exploratory-data-visualizations matplotlib numpy pandas seaborn univariate-analysis
Last synced: 20 May 2026
https://github.com/chaman2003/parkinson-detection
Al-powered Parkinson's Disease Detection System leveraging smartphone sensors (voice and motion) for real-time analysis. Combines ensemble machine learning models (SVM, Random Forest, Gradient Boosting, XGBoost) with advanced feature extraction to provide accurate early detection, sub-second processing, and detailed reporting.
ai flask html-css-javascript librosa ml numpy pandas pydup python scikit-learn
Last synced: 08 Apr 2026
https://github.com/pransu-code/marathonprediction
Case-based Time Prediction for Recreational Marathon Runners
gbm machine-learning-algorithms numpy pandas python random-forest regression-models scikit-learn seaborn sklearn
Last synced: 07 Mar 2026
https://github.com/pzuehlke/ml-with-numpy
Basic ML algorithms using only NumPy
deep-learning machinelearning numpy
Last synced: 20 May 2026
https://github.com/massimilianovisintainer/house-price-model-prediction
House price prediction model using XGBoost.
machine-learning models numpy pandas python sklearn xgboost xgboost-regression
Last synced: 20 Jan 2026
https://github.com/redinfinitypro/circuitpythonprojects
Rating: (4/10) This Python script simulates circuits using PySpice, importing libraries like NumPy and Matplotlib. It defines voltage divider, diode circuits, subcircuit definitions, DC sweep analysis, and simulates each circuit using the simulator.
matplotlib numpy os pyspice sys
Last synced: 15 May 2026
https://github.com/jpcadena/malware-analysis
Analysis of malware signatures and their associated Common Vulnerabilities and Exposures (CVEs)
black common-vulnerabilities-and-exposures cve-search data-analysis data-engineering data-reporting data-visualization isort malware-analysis matplotlib mypy numpy pandas plotly poetry pre-commit pydantic python ruff seaborn
Last synced: 03 Mar 2026
https://github.com/viivianreine/carbon-footprint-calculator-using-advanced-machine-learning-cnn-
🌍 An AI-powered Carbon Footprint Calculator built with Python, TensorFlow (CNNs), and Streamlit. Delivers real-time emission predictions, visual insights, and country-wise comparisons from user lifestyle data. Adaptive, scalable, and designed to drive sustainability through intelligent software solutions.
api-based-ai-integration cloud-ready convolutional-neural-networks data-featuring data-preprocessing ipcc keras keras-tensorflow matplotlib model-optimization numpy pandas python realtime-database seaborn streamlit streamlit-deployment streamlit-webapp supervised-machine-learning tensorflow
Last synced: 08 Apr 2026
https://github.com/rahulraimau/credit-card-fraud-detection
This project develops a real-time credit card fraud detection system using the Kaggle Credit Card Fraud Detection Dataset, containing 284,807 transactions with 31 features (Time, Amount, V1-V28, Class).
imbalanced-learn- matplotlib numpy pandas python pytorch scikit-learn- tensorflow
Last synced: 08 Apr 2026
https://github.com/csengupta1101/python-concepts
All basic to advanced Python Concepts Will be covered here in depth.
data-science django dsa-algorithm flask machine-learning numpy pandas python rest-api software-development
Last synced: 08 Apr 2026
