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: 2026-07-02 00:21:34 UTC
- JSON Representation
https://github.com/msthamizh/industrial-copper-modeling
Developing a Streamlit application that allows users to interactively predict sales outcomes using machine learning. The application supports both regression and classification tasks, enabling users to input various features and receive predictions for selling prices and status (WON/LOST).
exploratory-data-analysis machine-learning mongodb numpy pandas python streamlit
Last synced: 07 Apr 2026
https://github.com/1-harshit/cs203-probabality-in-cs
Assignment submissions of the semester 2021-22-II of course CS203 at IIT Kanpur
Last synced: 20 May 2026
https://github.com/thekartikeyamishra/voicecloner
The Voice Cloner is a Python-based project that leverages Tacotron 2 and WaveGlow models for text-to-speech (TTS) synthesis and basic voice cloning. This project supports 22 official Indian languages, including Sanskrit, making it versatile for multilingual text input.
ai indic-transliteration librosa machine-learning numpy nvidia-pyindex nvidia-tacotron2 nvidia-waveglow python torch torchaudio
Last synced: 03 Feb 2026
https://github.com/rushikeshbihade/django_bsased_dataanalyzer_webapp
Data Analyzer is a Django web application that enables users to upload CSV files, perform data analysis using pandas and numpy, and view results and visualizations on an interactive web interface. It simplifies data analysis by offering a user-friendly platform for data upload, processing, and visualization.
backend-development bootstrap css3 dataanalysis dataprocessing django-application django-framework djangotemplates html5 javascript numpy pandas plotly-express python3 seaborn-plots webapp
Last synced: 02 Mar 2026
https://github.com/Asit-14/Python-Programming
This repository contains all the programs and resources we will use to learn Python programming. It also includes various modules, Python libraries, and several project examples to enhance our learning experience.
matplotlib modules numpy pandas python tkinter
Last synced: 29 Oct 2025
https://github.com/anumit-web/ml-masterlist-2024
ML Masterlist, Machine Learning, 2024
image-segmentation kmeans-clustering machine-learning matplotlib numpy pandas reinforcement-learning scikit-learn supervised-learning unsupervised-learning
Last synced: 19 Jan 2026
https://github.com/epsoft/convolutional-neural-network-for-recognizing-farsi-handwritten-digits
Convolutional Neural Network for Recognizing Farsi Handwritten Digits
cnn cnn-keras convolutional-neural-networks cv2 farsi matplotlib numpy persian recognizing-farsi-handwritten scipy seaborn sequential tensorflow
Last synced: 07 Apr 2026
https://github.com/priyanshubiswas-tech/customer-churn-analysis-eda-
This project analyzes customer churn in a telecom company using Python, Pandas, SQL, and data visualization. It identifies key factors like contract type, payment method, and tenure to provide insights for improving retention. The skills gained are applicable in customer retention, user behavior analysis, fraud detection, and HR analytics.
data-analysis data-visualization dataset explo exploratory-data-analysis matplotlib matplotlib-pyplot numpy pandas-dataframe python seaborn seaborn-python
Last synced: 08 May 2026
https://github.com/yuanx749/complex_systems
A Python package for studying complex systems.
jupyter matplotlib networkx numpy pep8 project scipy streamlit
Last synced: 05 Apr 2026
https://github.com/2000pawan/data_science.
Complete Data Science, NumPy, Pandas, Matplotlib, Seaborn, Statistics, Power Bi, Machine Learning.
data-science machine-learning matplotlib numpy pandas powerbi seaborn statistics webscraping
Last synced: 18 Dec 2025
https://github.com/katerynazakharova/deep-learning-and-neural-networks
Examples of NN models. DL algorithms
deep-learning dl h5py matplotlib neural-network neural-networks nn numpy pli scipy
Last synced: 26 Mar 2025
https://github.com/elhariri78/case-study-a-better-smoker-detector
Case Study-A better Smoker Detector
data dataframe evaluation kaggle matplotlib-pyplot numpy pandas pandas-dataframe pandas-python python3 seaborn sklearn
Last synced: 07 Apr 2026
https://github.com/estaheri7/beijing-housing-analysis
Analyzes housing data from Beijing city
jupyter-notebook matplotlib-pyplot numpy pandas python3 searborn
Last synced: 13 Apr 2026
https://github.com/yukti-09/linear-regression
A small code for understanding linear regression.
linear-regression matplotlib mean-squared-error numpy
Last synced: 17 May 2026
https://github.com/FredStober/cpp2numpy
cpp2numpy is a C++ library to write numpy files
Last synced: 13 Jul 2025
https://github.com/KernFerm/PresFutImpactSim
This repository contains a Python simulation model that forecasts political, economic, and social factors under a hypothetical presidency. Users input initial values, and the model simulates their progression through defined interactions and random variations.
economic-model forecasting matplotlib numpy political-model python scipy simpy simulation social-model
Last synced: 16 Oct 2025
https://github.com/georgehanymilad/heart-disease-detection
Machine Learning Project
anaconda classification classification-algorithm dataanalysis datascience kaggle machine-learning machine-learning-algorithms matplotlib numpy pandas python python3 seaborn
Last synced: 07 Apr 2026
https://github.com/aisurjyasamantaray/customer-purchase-analysis
This project involves an in-depth analysis of customer purchasing behavior and sales performance to drive business insights and strategies.
customer-purchasing customer-segmentation data-visualization dataanalysis dataanalysis-projects marketing-insights matplotlib numpy pandas python revenue-and-performance-analysis seaborn-plots
Last synced: 09 Apr 2026
https://github.com/md-emon-hasan/numpy-pandas-matplotlib-seaborn
A collection of tutorials and examples showcasing the usage of Numpy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization.
data-science data-visualization matplotlib numpy pandas python seaborn
Last synced: 06 Apr 2026
https://github.com/codeantik/spam-ham-detector
A machine learning model to detect whether the mails are spam or ham
logistic-regression numpy pandas python sklearn
Last synced: 10 Apr 2026
https://github.com/mirgis/sassy-sandbox
A diverse code collection encompassing Python, JavaScript, Julia, and others, providing a wealth of examples, experiments, and snippets.
android aws bokeh ipynb ipywidgets javascript julia kotlin matplotlib numpy playground python3 r sandbox scipy
Last synced: 02 Apr 2026
https://github.com/ki3mono/naive_bayes_classifier
This project implements Naive Bayes Classifiers for two data types: Multinomial Naive Bayes Classifier and Gaussian Naive Bayes Classifier. Developed as part of the Probability Theory and Statistics course in the second year of Computer Science at AGH University of Krakow.
iris-dataset mushroom-dataset naive-bayes-classifier numpy python scikit-learn
Last synced: 06 May 2026
https://github.com/eljandoubi/landmark-classification-tagging-for-social-media
a CNN-powered app to automatically predict the location of the image based on any landmarks depicted in the image.
cnn-classification numpy pytest pytorch transfer-learning
Last synced: 07 May 2026
https://github.com/yash-rewalia/stock-closing-price-prediction-using-regression
The ultimate business objective is to leverage the regression model to provide accurate predictions of the closing price of AMRN stock, enabling stakeholders to make well-informed investment decisions, manage risks effectively, optimize portfolios, Early warning systems to alert any fraud cases and align investment strategies with financial goals.
datapreprocessing eda hypothesis-testing machine-learning numpy pandas python random-forest regression regression-analysis statistics
Last synced: 12 Apr 2026
https://github.com/nisch-mhrzn/laptop-price-predictor
Predict laptop prices with ease! 🚀 Input specs like brand, RAM, and more to get real-time price estimates using machine learning.
datavisualization machine-learning numpy pandas python seaborn streamlit
Last synced: 09 Apr 2026
https://github.com/charmee123/krishak_vriddhi
https://krishak-vriddhi.onrender.com
bootstrap css flask html javascript machinelearning-python numpy pandas scikit-learn
Last synced: 06 Apr 2026
https://github.com/letiziaia/dsp_2021
Basic Python code snippets for data science students
data-science numpy pandas python
Last synced: 09 May 2026
https://github.com/quantum-software-development/qiskit
qiskit circuits on IBM Quantum
Last synced: 30 Jul 2025
https://github.com/hansalemaos/cythonflatiter
Locates values in NumPy Arrays with Cython
Last synced: 15 May 2026
https://github.com/kentlouisetonino/sw-statistics-calculator
A CLI program that compute mean, median, and percentiles.
Last synced: 29 Mar 2025
https://github.com/zionc27/computational-art-with-genetic-algorithm
Genetic algorithm to iteratively generate an image resembling an original image
genetic-algorithm numpy photography pillow-library python
Last synced: 17 May 2026
https://github.com/pavankethavath/dominos---predictive-purchase-order-system
This advanced forecasting tool leverages Prophet, ARIMA, SARIMA, and LSTM models to predict daily sales for 32 pizzas and 64 ingredients. With Prophet achieving the lowest MAPE, it ensures accurate demand forecasts, optimized inventory, and efficient purchase planning, reducing waste, preventing stockouts, and enhancing supply chain efficiency.
arima deep-learning eda exploratory-data-analysis forecasting lstm machine-learning mape matplotlib minmaxscaling numpy pandas prediction python sarimax seaborn seasonality tensorflow time-series
Last synced: 08 Apr 2026
https://github.com/jai0212/cash-app-bias-busters
A platform developed with Cash App to help ML engineers detect and visualize biases in models using Fairlearn. Features include a collaborative and interactive dashboard (React, Chart.js), a Flask backend, and a secure MySQL database for data storage and analysis.
bias-detection chartjs fairlearn flask machine-learning mysql numpy pandas pytest python react scikit-learn scipy
Last synced: 16 Feb 2026
https://github.com/ab23ms233/matrix-calculator
A Python-based matrix calculator for performing operations like addition, multiplication, inverse, determinant, eigenvalues, diagonalization, and matrix functions using NumPy, SymPy, and SciPy.
Last synced: 11 Aug 2025
https://github.com/wyllduck/pygame_escapefromgaia
PYGAME / 2018 / university: ETSEIB-UPC / title: 'Escape from Gaia'
matplotlib networkx numpy pygame python3
Last synced: 08 May 2026
https://github.com/carlolepelaars/skq
Scientific Toolkit for Quantum Computing
numpy python quantum quantum-computing quantum-machine-learning
Last synced: 19 May 2026
https://github.com/hokagem/damagedlogginganalyzer
A project about an analyzation of a statistic of damaged logging (wood) in Germany using Python.
analysis csv csv-parser k-fold-cross-validation numpy pandas pandas-dataframe pandas-python polynomial-regression scikit-learn statistics wood
Last synced: 03 May 2026
https://github.com/tristan296/deepplate
A custom-trained YOLOv11-based license plate detection with PaddleOCR for accurate ANPR.
cv2 numpy paddleocr sqlite3 ultralytics yolov11
Last synced: 04 Apr 2025
https://github.com/szilagyipeter99/imageprocessing
This repository contains the examples discussed in the Image processing practices.
classification image-processing machine-learning matplotlib numpy pillow python segmentation
Last synced: 18 May 2026
https://github.com/melihcanndemir/3d-fractal-explorer
Interactive 3D visualization tool for exploring the mesmerizing world of Mandelbrot and Julia fractals. Built with Python, OpenGL and PyQt5, offering real-time animation and intuitive controls.
3d-graphics complex-numbers computer-graphics data-visualization educational fractal graphics-programming interactive julia-set mandelbrot math-visualization mathematical-art mathematics numpy opengl pyqt pyqt5 python scientific-visualization visualization
Last synced: 30 Jul 2025
https://github.com/lioccoumd/news-sentiment-analysis
This scrapes a variety of news stations websites for article titles and evaluates them using distilBERT pretrained model for sentiment analysis.
beautiful datasets distilbert news nltk numpy python pytorch reques scraping-websites sentiment-analysis transformers
Last synced: 16 Feb 2026
https://github.com/indhra/helloworld
1.Numpy tutorial
numpy numpy-arrays numpy-tutorial python3
Last synced: 09 May 2026
https://github.com/nisaaragharia/neural-networks-from-scratch
Neural Networks from scratch
artificial-intelligence beginner machine-learning neural-network numpy pandas
Last synced: 07 May 2026
https://github.com/dyegopimentel/sentiment-analysis-and-wordclouds-in-python
We developed a sentiment analysis algorithm and at the end we bring a wordcloud to give an overview of what is being said about the topic we are analyzing.
matplotlib numpy pandas python sentiment-analysis tweepy wordcloud
Last synced: 09 May 2026
https://github.com/anish202020/big-data-analysis-mini-project
The primary purpose of this code is to predict wind speed using an LSTM model. The model is trained on historical wind speed data to forecast future values.
keras matplotlib-pyplot numpy pandas sklearn
Last synced: 12 Apr 2026
https://github.com/awrsha/principal-component-analysis
Dimension reduction in Python
image-processing matplotlib numpy pillow python
Last synced: 29 Jun 2026
https://github.com/hamolicious/inversekinematics
Inverse Kinematics implementation in Python and PyGame
inverse-kinematics numpy pygame python
Last synced: 18 May 2026
https://github.com/wangwilly/osu-cse-5526
Some implementation of neural networks
bash linear-programming linear-regression neural-networks non-linear-optimization numpy poetry-python python rbf rbf-network svm
Last synced: 09 May 2026
https://github.com/gokulgowthams/clickstream-customer-conversion
Analyzes clickstream data from an e-commerce platform to predict customer conversions, estimate potential revenue, and segment users for personalized marketing strategies. By leveraging machine learning techniques, the project enhances decision-making for businesses seeking to optimize user engagement and sales.
data-preprocessing feature-engineering machine-learning matplotlib model-deployment numpy pandas pipeline python scikit-learn seaborn streamlit-web-application tensorflow xgboost
Last synced: 07 Apr 2026
https://github.com/RYANFRANKLIN237/Data-science-ml
trained ML and DL models to give accurate classifications,predictions and recommendations
artificial-neural-networks convolutional-neural-networks jupyter-notebooks kaggle keras logistic-regression naive-bayes-algorithm numpy pandas python scikitlearn-machine-learning tensorflow
Last synced: 30 Apr 2025
https://github.com/reddyprasade/bicycle-sharing-system-in-us
A bicycle-sharing system, public bicycle system, or bike-share scheme, is a service in which bicycles are made available for shared use to individuals on a short term basis for a price or free. Many bike share systems allow people to borrow a bike from a "dock" and return it at another dock belonging to the same system. Docks are special bike racks that lock the bike, and only release it by computer control. The user enters payment information, and the computer unlocks a bike. The user returns the bike by placing it in the dock, which locks it in place. Other systems are dockless. For many systems, smartphone mapping apps show nearby available bikes and open docks.
dataanalysis jupyter maplotlib numpy pandas python r
Last synced: 29 Aug 2025
https://github.com/chandansoren/credit-card-fraud-detection
Credit card fraud detection through logistic regression.
logistic-regression machine-learning numpy pandas python sklearn
Last synced: 02 Apr 2026
https://github.com/reusjimenez/python-data-analysis
Casos completos y ejercicios prácticos de análisis de datos. 📊
data-analysis data-visualization jupyter-notebook machine-learning matplotib numpy pandas python sklearn
Last synced: 12 Apr 2026
https://github.com/witch-world/iris-flower-classification-decision-tree-classifier
ai algorithms artificial-intelligence decision-tree decision-tree-classifier machine-learning machine-learning-algorithms machinelearning-python matplotlib numpy numpy-arrays pandas pandas-dataframe pandas-python python python3 scikit-learn
Last synced: 06 Apr 2026
https://github.com/nitsc/spell-from-threebodytrilogy
Implemented the process of extrapolating from Gaia stellar data, to 3D visualizations, to three-views, to three-view signals, to three-view audio of signals, and even their inversions. This project proves the feasibility of the Logic (Luoji)'s “spell” from “The Three Body Problem” trilogy.
3d 3d-graphics astronomy astronomy-astrophysics audio audio-processing data data-science data-visualization gaia graph information-technology information-visualization numpy python python-3 python3 signal signal-processing visiualization
Last synced: 02 May 2026
https://github.com/thomasonzhou/minitorch
rebuilding pytorch: from autograd to convolutions in CUDA
Last synced: 02 Feb 2026
https://github.com/kr1shnasomani/traffisense
A computer vision toolkit for traffic analysis with vehicle detection, speed estimation, segmentation, and number plate recognition.
computer-vision deep-learning neural-network numpy opencv pypi pytorch
Last synced: 12 Apr 2025
https://github.com/cskhomo/scientific-python
Scientific Computation, Data Analysis using Python, Bash, SQL for FreeCodeCamp Courses.
numpy postresql shell-scripting
Last synced: 14 May 2025
https://github.com/patilni3/numpy-in-depth
Python's NumPy Library for Data Analysis, Machine Learning, Data Science and many more...
data-analysis data-engineering data-science machine-learning numpy pandas
Last synced: 10 May 2026
https://github.com/evardnk/dataanalyticsportfolio
Собрание моих проектов по аналитике данных
api automation data-analysis etl-pipeline jupyter-notebook jupyterlab kpis numpy pandas pipeline postgresql powerbi python sql visualization
Last synced: 17 Feb 2026
https://github.com/kientech/crop-recommendation-with-machine-learning
The Crop Recommendation with Machine Learning project is designed to assist farmers and agricultural professionals in selecting the most suitable crops for their specific environmental conditions.
fastapi machine-learning modeling numpy pandas python reactjs sklean
Last synced: 22 Mar 2025
https://github.com/mahnoorsheikh16/credit-card-default-prediction
This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.
encoding hiplot imblearn json knn-imputer logistic-regression matplotlib numpy pandas pca-analysis plotly scipy seaborn sklearn smote streamlit support-vector-machines timeseries-forecasting visualization xgboost-classifier
Last synced: 06 Apr 2026
https://github.com/iv4n-ga6l/human-motion-capture
Realtime Human Motion Tracking and Analysis
human-pose-estimation mediapipe motion-analysis motion-tracking numpy opencv python
Last synced: 06 Apr 2026
https://github.com/msadeqsirjani/cinemetrics
This project focuses on analyzing the Netflix dataset to gain insights into the movies and TV shows available on Netflix.
decision-trees jupyter matplot netflix nlp nltk numpy pandas plotty python scikitlearn-machine-learning seaborn sklearn svm
Last synced: 06 Apr 2026
https://github.com/f1scher7/risk-master
RiskMaster is an intelligent platform for individual investors to assess cryptocurrency market risks. It combines historical trend analysis and predictive neural networks - LSTM
custom-implementation dense lstm-neural-networks numpy python streamlit-webapp
Last synced: 18 May 2026
https://github.com/abhilash1910/deepgenerator
Sentence Sequence Transduction Library (Seq to Seq) for text generation using sequential generative Vanilla RNN using numpy
adagrad generativemodeling nlp numpy optimizer rnn seq2seq-model transduction vanilla-rnn
Last synced: 19 May 2026
https://github.com/vmariiechko/python-image-processing
Raster graphics editor
desktop image-processing numpy opencv python
Last synced: 28 Apr 2026
https://github.com/prayag2003/stock-trend-prediction-lstm-model
My first ML Project on Stock Trend Prediction🚀🚀 The dataset consists of stock opening, closing, high, low data values scrapped from Yahoo Finance from the year 2010 to 2022. The LSTM ( Long Short-Term Memory ) deep learning model shares the idealogy of Time Series.
numpy pandas sklearn stock-trend-prediction
Last synced: 04 Apr 2025
https://github.com/santiagoenriquega/custom_ensemble_learning
This repository focuses on building a random forest classifier and regressor as well as a gradient boosted regressor, building them from scratch using only NumPy for faster array processing.
numpy python python3 random-forest random-forest-classifier random-forest-regressor
Last synced: 15 May 2026
https://github.com/khadkarajesh/wine-prediction
White and Red Wine classification using logistic regression
airflow airflow-dags classification classification-algorithm data-science dataingestion evidently flask logistic-regression logistic-regression-algorithm machine-learning machine-learning-pipeline mlflow numpy pandas pipeline postgresql python scikit-learn supervised-learning
Last synced: 08 Apr 2026
https://github.com/kento75/chainer-learn
chainer deep-learning numpy python36
Last synced: 01 May 2026
https://github.com/rayyan9477/data-driven-house-price-prediction-and-property-recommendation-app
The app leverages algorithms to accurately predict house prices and recommend similar properties based on a saved dataset through content-based filtering. It is tailored for homebuyers seeking their dream house and real estate investors looking for profitable opportunities, providing powerful insights and data-driven decision-making support.
data-science eda html machine-learning numpy pandas python scikit-learn
Last synced: 06 Apr 2026
https://github.com/vinicius999/eda-basketball-streamlit
Simple web application for viewing, filtering and analyzing Basketball data using Stremlit.
numpy pandas python streamlit webapp webscraping
Last synced: 07 Apr 2026
https://github.com/savitar-hub/image-classification
Notebooks on how image classification can help businesses make better decisions and improve the customer experience.
image-classification image-processing jupyter-notebook numpy opencv pandas pytorch tensorflow
Last synced: 08 Apr 2026
https://github.com/cesarmartinez7/anchorports
Escaneador de puertos hecho en python con la libreria de nmap-python y Scapy.
arp colorama-librairy nmap numpy pyfiglet python python-nmap scapy-library
Last synced: 18 May 2026
https://github.com/xaxtric7/learn-numpy
🧮 Welcome to my NumPy Practice repository! This repo contains my hands-on learning, notes, and code experiments as I dive into the fundamentals and advanced features of NumPy – a powerful library for numerical computing with Python.
Last synced: 15 May 2026
https://github.com/priyanshgoantiya/ml-from-scratch-without-sklearn
This repository contains machine learning algorithms implemented from scratch using only NumPy—without relying on scikit-learn or other high-level ML libraries. The goal is to provide a deeper understanding of how fundamental machine learning models work under the hood by implementing them step by step.
Last synced: 15 May 2026
https://github.com/Udacity-MachineLearning-Internship/finding_donors
First stage project at Udacity on the 'Intro to Machine Learning with TensorFlow' program using sckit-learn in python
csv machine-learning matplotlib numpy pandas python sckiit-learn seaborn sklearn udacity udacity-nanodegree
Last synced: 17 Jul 2025
https://github.com/yashodatta15/top-250-anime-2023-eda
anime eda matplotlib movies numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/apoorva-info/cognitive-load-using-blink-rates
Analyzing blink rates and task performance to measure cognitive load during digital span tasks using a custom Python tool.
matplotlib numpy pandas python
Last synced: 08 Apr 2026
https://github.com/bl0nder/regressify
A multi-task neural network coded from scratch that performs simultaneous regression and classification.
classification deep-learning multitask-learning neural-networks numpy regression
Last synced: 15 May 2026
https://github.com/machinelearningprodigy/covid-19-detection-system
It is a Flask-based web application that predicts the likelihood of COVID-19 infection based on user symptoms. The app utilizes a K-Nearest Neighbors (KNN) model trained on relevant medical features to assess COVID-19 risk.
algorithms feature-engineering flask machine-learning numpy pandas scikit-learn
Last synced: 20 Apr 2026
https://github.com/yeetooq/pivaldi_telegram_bot
An unofficial bot for the Pivaldi restaurant that provides easy access to the menu, order placement, and current promotions. Plus, enjoy entertainment features like games, cryptocurrency rates, jokes, weather updates, and more!
aiocache aiogram aiohttp aiosqlite beautifulsoup4 geopy numpy requests sqlalchemy
Last synced: 05 Apr 2025
https://github.com/lbirkert/digit-recognition
[from-scratch] feed forward neural network that can recognize handwritten digets
feedforward-neural-network machine-learning numpy python
Last synced: 19 May 2026
https://github.com/islam-hady9/heart-attack-analysis-prediction-using-ann
Heart Attack Analysis & Prediction using Artificial Neural Network
artificial-neural-networks data-analysis deep-learning eda machine-learning matplotlib numpy pandas python tensorflow
Last synced: 04 Apr 2026
https://github.com/dmarks84/ind_project_california-housing-data--kaggle
Independent Project - Kaggle Dataset-- I worked on the California Housing dataset, performing data cleaning and preparation; exploratory data analysis; feature engineering; regression model buildings; model evaluation.
cross-validation data-modeling data-reporting data-visualization eda folium grid-search matplotlib model-evaluation numpy pandas pca python seaborn sklearn statistics supervised-ml unsupervised-ml
Last synced: 08 Apr 2026
https://github.com/amritakaur-08/smart_attendance_system
The Smart Attendance System is designed to automate the attendance process using facial recognition. Traditional methods of taking attendance can be time-consuming and prone to errors. This project aims to streamline the process by leveraging computer vision technology, allowing for efficient, contactless, and accurate attendance tracking.
asgiref django mysql numpy opencv pillow-library python sqlparse
Last synced: 08 Apr 2026
https://github.com/andystmc/nextflownyc
Developed a machine learning model (Bidirectional LSTM) to forecast NYC traffic volumes using 10 years of automated traffic count data. Achieved strong predictive accuracy, demonstrating the power of deep learning for urban traffic analysis.
data-analysis data-cleaning data-science data-visualization exploratory-data-analysis feature-engineering hyperparameter-tuning jupyter-notebook lstm-neural-networks machine-learning numpy pandas predictive-modeling python3 scikit-learn tensorflow-keras traffic-flow-forecasting
Last synced: 07 Apr 2026
https://github.com/yashuv/numpy-for-data-science
A well structured practical deep dive into functional programming in NumPy.
Last synced: 28 Oct 2025
https://github.com/drcbeatz/aynm-data
Python scripts for data cleaning and processing for AYNM (Pandas/NumPy/Selenium/AWS Textract)
automation aws-textract csv data-analysis data-cleaning ipynb numpy ocr pandas python reverb selenium shopify webscraping xml
Last synced: 07 Mar 2026
https://github.com/iamshatha/disease-symptom-analysis
The data file defines the relationship between different symptoms and possible diseases
analysis dataset disease matplotlib numpy python symptoms
Last synced: 07 May 2026
https://github.com/f1scher7/ai-tutorial
Learning neural networks by building custom implementations for various problems
machine-learning neural-networks numpy python
Last synced: 16 May 2026
https://github.com/shriram-vibhute/realestateforecast-price-prediction-system
This project aims to predict Prices of House. It involves several key stages, including data preprocessing, feature engineering, model selection, and evaluation. The goal is to develop a model that provides accurate and reliable price predictions based on the given features.
exploratory-data-analysis feature-engineering feature-transformation hyperparameter-tuning machine-learning matplotlib numpy pandas python random-forest sklearn
Last synced: 07 Apr 2025
https://github.com/tawabshakeel/neural-networks-using-keras
Different Neural Networks using keras
deep-learning keras machine-learning neural-networks numpy pandas python sklearn
Last synced: 08 Apr 2026
https://github.com/jelhamm/article-deep-learning-for-the-gaussian-wiretap-channel
Simulations for the paper "Deep Learning for the Gaussian Wiretap Channel by Rick Fritschek, Rafael F. Schaefer, Gerhard Wunder"
custom-layers data-communications deep-learning deep-learning-papers encoder-decoder-model jupyter-notebook loss matplotlib-pyplot numpy optimizer pandas paper python scipy simulations sklearn-preprocessing tensorflow tensorflow-keras-model training wiretap
Last synced: 08 Apr 2026
https://github.com/msadeqsirjani/machine_learning_hands_on
A comprehensive machine learning repository containing different concepts, algorithms and techniques.
cnn computer-vision data-analysis data-science data-visualization deep-learning keras machine-learning matplotlib neural-network nlp numpy open-source pandas python rnn scikit-learn seaborn tensorflow
Last synced: 06 Apr 2026
https://github.com/theanujsinha01/rainfall-prediction-using-machine-learning
This project predicts whether it will rain or not based on weather features like pressure, humidity, dew point, cloud cover, sunshine, wind direction, and wind speed. We use a Random Forest Classifier, a popular ML algorithm, trained on historical weather data. The model learns patterns and helps us forecast rain chances.
classification data-analysis eda machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn supervised-learning
Last synced: 11 Apr 2026
https://github.com/ahmednurabdii/data-analytics-portfolio-superstore
My first portfolio project showcasing data cleaning, analysis, and visualization of Superstore sales data.
data-analysis data-visualization jupyter-notebook matplotlib numpy pandas portfolio-project python sales-analysis scipy seaborn superstore-dataset
Last synced: 07 Apr 2026