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/urvee1810/bitcoin-price-forecasting-using-arma
The analysis reveals the challenges of predicting Bitcoin prices during highly volatile periods and demonstrates how traditional time series models perform under different market conditions. The project includes comparative analysis of model performance during stable and volatile market phases.
arima arma augmented-dickey-fuller-test feature-engineering machine-learning matplotlib mplfina numpy pandas python random-forest randomforestregressor scikit-learn seaborn statsmodels time-series-analysis
Last synced: 06 Mar 2026
https://github.com/bishopce16/movies-etl
The goal of this project was to create an automated pipeline for a company Amazing Prime that is hosting a hackathon.
json numpy pandas pgadmin4 psycopg2 python regular-expressions sql sqlalchemy time
Last synced: 11 Apr 2026
https://github.com/harmanveer-2546/prediction-of-ticket-cancellation
The objective is to develop a model that accurately predicts whether users will cancel their tickets. Each cancellation incurs a fine for the ticket registration site from the passenger company.
datetime evaluation gridsearchcv labelencoder numpy pandas standardscaler stratified-k-fold train-test-split xgboost-model
Last synced: 04 May 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/chubi-x/sort-it-image-classifier
Sort-it is an image classification application that classifies images of cats, dogs, bicycles, cars, and motorcycles.
image-classification machine-learning numpy pandas python streamlit tensorflow
Last synced: 05 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 ๐๐๐
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/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/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/tahir1072a/titanic-veri-analizi
Kaggle Titanic veri seti kullanฤฑlarak NumPy ve Pandas ile yapฤฑlan veri analizi projesi.
data-science kaggle numpy pandas python titanic-survival-prediction
Last synced: 30 Dec 2025
https://github.com/redinfinitypro/ai_projects
Rating (7/10) The code is a chatbot that interacts with users based on article content. However, issues include incorrect sorting, typos, incorrect indentation, and lack of explanations for each part, potentially affecting the bot's robustness and understanding of context.
newspaper nltk numpy python random sklearn string warnings
Last synced: 20 Jul 2025
https://github.com/paulinhok14/csgo-datascience-project
๐ Analysis of CS:GO grenade usage patterns and their impact on match outcomes using data science and statistical methods.
matplotlib mlflow numpy python scikit-learn scipy seaborn
Last synced: 30 Dec 2025
https://github.com/athiyaman-m/brain-tumor-classification-using-deep-learning
โข 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/shshojaei/python-tutorial
Python tutorials
jupyter-notebook matplotlib numpy pandas programming-t python python-tutorial scipy seaborn tutorial
Last synced: 05 Apr 2026
https://github.com/DYK-Team/vna-impedance-measurements
Calibration and deembedding for impedance measurments
antenna-equation cst-studio de-embedding delay-time lab-automation magneto-impedance microstrip numpy pcb-cells phase-unwrapping probe python rohde-schwarz scattering-parameters scpi-instruments sensors solt-calibration surface-impedance vna zhejiang-university
Last synced: 08 May 2025
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/zalkklop/lvsm
Official code for "LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias" (ICLR 2025 Oral)
attention-mechanisms deep-learning github-config large-view-synthesis matplotlib multi-label-classification nltk numpy one-vs-rest python seaborn sql tensorflow transformers
Last synced: 09 Apr 2025
https://github.com/5hraddha/eda-instacart-customers-shopping-habits
In this Exploratory Data Analysis (EDA) project we'll clean up the data and prepare a report that gives insight into the shopping habits of Instacart customers.
data-visualization exploratory-data-analysis instacart matlpotlib numpy pandas
Last synced: 13 Apr 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/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/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/nikhilfuke1/movies-recommendation-system-python-project-
This project is a simple movie recommendation system built using Python. It suggests movies based on the similarity of titles and a predefined similarity score matrix.
difflib numpy pandas python sklearn
Last synced: 30 Dec 2025
https://github.com/nermeenkamal/population_growth_analysis_and_visualization
Python
analysis data-science dataset matplotlib numpy pandas python seaborn visualization
Last synced: 02 May 2026
https://github.com/aminkhavari78/-maternal-health-risk-data-set
In this part I'm working on Maternal Health Risk Prediction
data-science linearsvc machine-learning matplotlib numpy pandas scatter-plot sklearn
Last synced: 05 May 2026
https://github.com/wondermongering/nonlineardatagen
A flexible Python framework for generating, fitting, and visualizing noisy nonlinear data. Perfect for educational purposes, algorithm testing, and demonstrating statistical concepts. Includes tools for various noise models, custom function fitting, robust error metrics, and publication-quality visualizations
curve-fitting data-simulation data-visualization education educational-tool interpolation mathematical-modelling matplotlib noise-modeling numpy regression-analysis scientific-computing scipy signal-processing statistics teaching-resource time-series-analysis
Last synced: 22 Aug 2025
https://github.com/rajesh9943/developing-a-bike-buyer-sales-report-dashboard-using-excel
This dataset has details of 1000 users from different backgrounds and whether or not they buy a bike. This data can be used to build the dashboard in Google Sheets. There are some NA (Null / Empty) values injected in the dataset. Use this dataset for Data Cleaning, Exploration, and Visualization.
excel google-sheets numpy pandas-library python3
Last synced: 17 May 2026
https://github.com/trups39/nyc-green-taxi-trip-analysis
Analyze NYC Green Taxi data, predicting fares and optimizing pickup locations using Regression machine learning models uncover travel patterns.
numpy pandas predictive-modeling python3 regression-models skit
Last synced: 17 Feb 2026
https://github.com/toon-van-berkel/imagetovideofx
ImageToVideoFX is a simple Python project that takes an image (JPG/PNG) and transforms it into a short video with a smooth zoom effect. You can optionally add background music. This is perfect for content creators or developers who want to automate turning images into engaging video content.
imagetovideo moviepy numpy pillow python
Last synced: 08 May 2025
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/bearddan2000/python-web-3d-matplotlib-scatter-parametric-curve-graph
A demo of creating a 3d scatter parametric curve graph.
3d curve graph matplotlib numpy pandas parametric python scatter web
Last synced: 09 Apr 2026
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/lefteris-souflas/economic-connectedness-analysis
Jupyter notebook, replicating studies on social capital from Nature journal, analyze economic connectedness, upward income mobility, and more. Python and relevant datasets are utilized to recreate figures and analyses.
analytics choropleth-map json jupyter-notebook matplotlib matplotlib-pyplot numpy pandas plotly-express python3 regplot scatterplot seaborn stata visualization
Last synced: 07 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/fjohnson87/planning-and-feasability
Data-driven feasibility analysis using pandas, seaborn, and FAO food supply data
Last synced: 04 May 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/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/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/pedronjorge/average-face-python
Generate an average face from a given set of images by detecting facial landmarks, aligning features, and blending the images using Delaunay Triangulation. Libraries used: Dlib, OpenCV, NumPy
dlib image-generation jupyter-notebook numpy opencv python3
Last synced: 21 Jun 2025
https://github.com/nik-kusanagi/jupyter
Treinamento Para Anรกlise de Dados.
big-data jupyter jupyter-notebook matplotlib numpy pandas python python3
Last synced: 30 Apr 2026
https://github.com/zakircodearchitect/intent-classifiers-on-regression-models
This project compares five optimization algorithms (GD, SGD, Momentum, RMSProp, and Adam) on Univariate Linear Regression and a neural network for Intent Classification with the ATIS dataset. It evaluates convergence speed, stability, and final loss, showing that Adam delivers the best performance across both models.
atis-dataset intent-classification jupyter-notebook keras keras-neural-networks matplotlib numpy python regression-models tenserflow
Last synced: 02 May 2026
https://github.com/sumaiyyaf/spotify-data-analysis
This project explores Spotify music data, using Python to clean, analyze, and visualize the dataset. It examines the relationship between audio features and sentiment in song lyrics, uncovering patterns and trends to provide valuable insights into music preferences.
Last synced: 08 May 2026
https://github.com/brenofariasdasilva/dagster-heart-disease-risk
Dagster Heart Disease Risk Model.
dagster heart-disease jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
Last synced: 07 Apr 2026
https://github.com/krishbharadwaj5678/clearbg
Instantly remove backgrounds from any image with Clear BG. Upload your photos, remove the unwanted backdrop, and download the result in seconds.
background-remove background-remover deployment numpy onnxruntime pillow python python3 rembg streamlit
Last synced: 07 Apr 2026
https://github.com/ramyacp14/global-warming-analysis
Analyzes and visualizes global temperature data to identify climate change trends. The project includes global and seasonal temperature trend analysis, country-wise and city-specific temperature visualizations, and geospatial analysis with interactive maps and heatmaps.
data-visualization folium geospatial-analysis jupyter-notebook matplotlib numpy opencage-geocoder pandas plotly python seaborn
Last synced: 07 Apr 2026
https://github.com/elmezianech/email-spam-ham-classifier-nb-simple
Count Vectorizer Naive Bayes Email Classifier: This Python project utilizes a simple Naive Bayes approach with Count Vectorizer to classify emails as spam or ham. The implementation focuses on word frequency for classification.
countvectorizer emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering
Last synced: 07 Apr 2026
https://github.com/ediloaz/machine-learning-study-and-tests
Some codes for testing new features in Machine Learning while I'm studying and understand how to works it.
cv2 jupyter-notebook machine-learning numpy python pytorch tensorflow
Last synced: 08 Apr 2026
https://github.com/zohaib-cheema/defacto
DeFacto is a machine learning-based tool that classifies fake news articles using a hybrid model built with Scikit-learn, TensorFlow, and Keras. The system analyzes social and political content to detect deception in news stories and social media posts, providing a reliable solution to address the growing issue of misinformation.
flask git keras numpy pandas r scikit-learn tensorflow
Last synced: 07 Apr 2026
https://github.com/pythoncoderunicorn/linear-algebra-python
Linear Algebra in Python
Last synced: 07 Apr 2026
https://github.com/razvan48/digit-recognizer-in-python
A simple digit recognizer written using Python.
graphics knn knn-algorithm knn-classification machine-learning machine-learning-algorithms numpy pygame python
Last synced: 17 May 2026
https://github.com/gospacedev/exoseeker
A machine learning exoplanet transit data analysis web interface
artificial-intelligence exoplanet-transits exoplanets gradient-boosting machine-learning matplotlib nasa nasa-data nasa-spaceapps-challenge numpy pandas perceptron-neural-networks random-forest sklearn streamlit
Last synced: 07 Apr 2026
https://github.com/hbmartin/mathjs-to-func
Compile serialized math.js expression trees into fast, reusable Python callables. Optional parse extra.
ast compiler expression-evaluator expression-parser expressions formula formula-parser formulae mathjs numpy
Last synced: 17 May 2026
https://github.com/subhamsarangi/visualize
Data Visualizations using Python
bokeh matplotlib numpy pandas pyplot python3 seaborn
Last synced: 07 Apr 2026
https://github.com/imdadmiran17/data_analysis_exercise
data-analysis numpy numpy-arrays numpy-exercises python3
Last synced: 17 May 2026
https://github.com/aritrakar/ml-from-scratch
๐คCommon ML implementations from scratch.
machine-learning numpy pandas python pytorch
Last synced: 07 Apr 2026
https://github.com/marferdom/codenotes
Notes while learning to code in python
fastai ipython matplotlib-pyplot numpy python sci-kit-learn seaborn tensorflow tkinter torch
Last synced: 04 Apr 2026
https://github.com/michaeldehaney94/opencv
Python OpenCV computer vision projects
matplotlib numpy opencv-python python
Last synced: 20 Jun 2025
https://github.com/shivjotchoudhary/shivjot-core
High-performance Python utilities for AI/ML workflows, computer vision, and enhanced Pandas/NumPy data engineering.
computer-vision data-science machine-learning numpy pandas python
Last synced: 18 Apr 2026
https://github.com/lorenzorottigni/ml-interview
Machine Learning python bootcamp: K Nearest Neighbors job interview simulation dataset
ipynb k-nearest-neighbours machine-learning numpy pandas python scikit-learn seaborn
Last synced: 07 Apr 2026
https://github.com/notshrirang/opennn
Neural Networks for humans. An implementation from scratch in Python using NumPy. Consists of Optimizers such as Adam, SGD, Adagrad, RMSProp, and activation functions ReLU, Softmax and Losses. All implemented from scratch.
deep-learning machine-learning neural-network numpy
Last synced: 27 Apr 2026
https://github.com/isa1asn/mnist-neural-net
Applying neural networks on the MNIST dataset (from scratch & using tf)
from-scratch keras mnist-classification neural-networks numpy pandas relu-activation softmax tensorflow
Last synced: 12 Apr 2026
https://github.com/avs123a/image-edge-detection-demo
Demo of image edges detection using different operators, norms and custom masks
demo edge-computing edge-detection image-analysis image-manipulation image-processing jupyter-notebook numpy python python27 python3
Last synced: 04 Feb 2026
https://github.com/boobshash/numpy-neural-net
Simple and extendable library for deep learning in numpy
deep-learning mlp-classifier numpy
Last synced: 20 Jul 2025
https://github.com/lokranjanp/mnist-classifier
Mnist handwritten digit classifier from scratch using numpy only and also with CNN-tf. The aim is to make the models of almost equal accuracy.
mnist mnist-classification mnist-classifier numpy pandas tensorflow
Last synced: 02 May 2026
https://github.com/itzzmeakhi/ab-testing
This project was done as a part of Udacity's Data Analyst Nanodegree program in which AB-Testing is performed for the users under treatment and control groups to predict whether changes should be done for an website or it is ideal to keep the existing one, based on the performance of old and new pages. Hypothesis testing, z-test, and Logistic Regression is performed to predict results.
bootstrapping hypothesis-testing jupyter-notebook matplotlib numpy pandas python statistics z-test
Last synced: 04 May 2026
https://github.com/anuragkush2527/vibesync-3.0
Sentiment analysis in social media involves using natural language processing (NLP) and machine learning to analyze users' opinions, emotions, and attitudes expressed in posts, comments, and reviews. It helps in understanding public sentiment, monitoring trends, and making data-driven decisions.
expressjs fastapi mongodb nltk nodejs numpy pandas python reactjs scikit-learn sentiment-analysis tensorflow
Last synced: 16 Oct 2025
https://github.com/tachoknight/propanescale
Code to run pumpingstationone.org's propane scale
mqtt mqtt-broker numpy numpy-arrays python python3 serial serial-communication
Last synced: 13 Apr 2026
https://github.com/charanchellu/movie-recommend-system
content Based movie recommend system
machine-learning numpy pandas python sklearn
Last synced: 02 Apr 2026
https://github.com/nk-works/creditflow-ai
CreditFlow AI predicts loan defaulters using Artificial Neural Networks (ANNs). This model uses historical loan data to predict the likelihood of default for new loan applications.
ai artificial-neural-networks deep-learning jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn seaborn tensorflow
Last synced: 24 Jun 2025
https://github.com/faraazarsath/handson-numpy
This respository is on various Numpy Tasks provided as academic assignment
Last synced: 16 May 2026
https://github.com/hariprasath-v/machinehack-dare_in_reality_hackathon
Build a machine learning model that predicts the Envision Racing driversโ lap times.
catboostregressor data-science exploratory-data-analysis feature-engineering gradio gradio-interface klib machine-learning numpy optuna pandas python seaborn sklearn
Last synced: 13 Apr 2026
https://github.com/sadegh-khedry/housing-prices-prediction-using-randomforest
This repository contains an implementation of random forest model to predict housing prices using the Boston Housing dataset.
csv joblib jupyter-notebook matplotlib numpy pandas pil python random-forest seaborn sklearn
Last synced: 05 Apr 2026
https://github.com/bearddan2000/python-web-3d-matplotlib-polygon-graph
A demo of creating a 3d polygon graph.
3d graph matplotlib numpy pandas polygon python web
Last synced: 03 May 2026
https://github.com/aysh2603/credit-card-fraud-detection
The Credit Card Fraud Detection project aims to identify fraudulent transactions from a dataset of credit card transactions. The project addresses the challenge of class imbalance and employs advanced machine learning techniques to build an effective fraud detection model.
ensemble-learning hyperparameter-tuning numpy pandas python3 scikit-learn streamlit
Last synced: 04 Feb 2026
https://github.com/aqueeqazam/a-deep-dive-introduction-to-tensorflow
TensorFlow is a deep learning system that provides an interface for expressing deep learning algorithms and implementing them. It uses dataflow graphs to represent computation, shared state, and the operations that mutate that state.
deep-learning neural-network numpy tensor tensorflow
Last synced: 03 Aug 2025
https://github.com/alansteinbarth/eksploracyjna-analiza-danych-o-pasazerach-statku-titanic
๐ Titanic EDA: odkrywanie wzorcรณw przeลผywalnoลci przez analizฤ danych. Profesjonalny projekt z wizualizacjami i insights
analytics csv data-analysis data-science data-visualization dataset eda exploratory-data-analysis jupyter-notebook kaggle machine-learning matplotlib numpy pandas portfolio python seaborn statistics titanic visualization
Last synced: 11 Apr 2026
https://github.com/ahmed-maher77/signlink___graduation-project
๐๐-๐๐จ๐ฐ๐๐ซ๐๐ ๐๐ข๐ ๐ง ๐๐๐ง๐ ๐ฎ๐๐ ๐ ๐๐ซ๐๐ง๐ฌ๐ฅ๐๐ญ๐จ๐ซ | A web and mobile app that bridges communication gaps for the deaf and hard-of-hearing community by translating English and Arabic sign language into real-time text and speech, and converting spoken words into text during video calls.
csharp fastapi firebase-realtime-database flutter framer-motion javascript microsoft-dot-net-technologies numpy opencv python pytorch reactjs scikit-learn scss-framework sign-language-recognizer sign-language-translation sql-server tailwindcss webrtc websockets
Last synced: 07 Apr 2026
https://github.com/lasithaamarasinghe/youtube-comment-analysis
Sentimental Analysis of comments on YouTube videos. Classify comments as positive, negative, or neutral. Provide visualizations to display the distribution of the sentiments.
comment-analysis css3 emoji flask google-api-client html5 matplotlib negative neutral numpy positive python sentiment-analysis sentiment-classification vadersentiment visualization youtube-video
Last synced: 04 Apr 2026
https://github.com/sadegh-khedry/pneumonia-detection-using-cnn
Classifying chest X-ray images into two categories: Pneumonia or Normal using a Convolutional Neural Network (CNN).
cnn convolutional-neural-networks cv2 deep-learning harris-corners joblib jupyter-notebook keras kmeans-clustering matplotlib numpy orb pandas python seaborn shutil sifit tensorflow
Last synced: 11 Apr 2026
https://github.com/subhashpolisetti/crispdm-semma-kdd-workflows
This repository demonstrates three data mining methodologies applied to various real-world datasets: CRISP-DM (Weather Analysis), KDD (Social Media Ads Analysis), and SEMMA (Spotify Recommendation System). Each project includes data exploration, preprocessing, modeling, and evaluation steps, along with comprehensive documentation, supporting files,
clustering-algorithm crisp-dm kdd latex-template machine-learning numpy pandas random-forest research-paper semma
Last synced: 07 May 2026
https://github.com/mohammedrashithkp/drlforsnakegame
This project utilises a Deep Reinforcement Learning specifically Q learning implemented using PyTorch which learns the game by interacting with the pygame environment .I have followed a tutorial on Freecodecamp YouTube Channel and made the initial model.
deep-reinforcement-learning matplotlib-pyplot numpy pygame python
Last synced: 16 May 2026
https://github.com/aglowraph/gromacs-xvg-plot-script
A Python script for automating the plotting of .xvg files from GROMACS simulations, with dynamic labeling, time unit detection, and colorful visualization. This script reads, plots, and saves each .xvg file in the same directory, making data analysis more efficient.
automation computational-chemistry data-visualization gromacs matplotlib molecular-dynamics numpy python scientific-computing xvg-plotting
Last synced: 18 May 2026
