NumPy
NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/macagua/entrenamiento.data_scientist_python
Repositorio de manuales y recursos del entrenamiento "Data Scientist en Python" realizado por Leonardo J. Caballero G.
data-analytics data-scientist data-visualization numpy pandas-dataframe python37 streamlit
Last synced: 01 May 2026
https://github.com/athari22/house_sales_in_king_count_usa
The idea of the project is to do a Data analysis in a Real Estate Investment Trust. The Trust would like to start investing in Residential real estate.
analysis data data-science data-visualization ibm ibm-watson linearregression machine-learning matplotlib numpy pandas sklearn-library
Last synced: 01 May 2026
https://github.com/cchandre/gc2d
Guiding-center dynamics in plasma physics
hamiltonian numpy plasma-physics pyhamsys scipy symplectic-integrator
Last synced: 01 May 2026
https://github.com/joshi-jyoti/heart-disease-prediction
This repository contains a Python-based project for predicting the likelihood of heart disease using a Logistic Regression machine learning model. It leverages a dataset of patient medical information to train and evaluate the model, providing insights into potential diagnoses.๐ฉบ
heart-disease-prediction heart-disease-predictor kaggle-dataset machine-learning numpy pandas python scikit-learn
Last synced: 01 May 2026
https://github.com/cchandre/rg
Renormalization for the break-up of invariant tori in Hamiltonian flows
expm hamiltonian hamiltonian-dynamics invariant-tori kolmogorov-arnold-moser numpy python3 renormalization-group scipy
Last synced: 01 May 2026
https://github.com/scorleos773/three-body-problem-simulator
Three-Body Problem Simulation - A Python-based simulation of the Three-Body Problem with both 2D and 3D visualizations. Uses `matplotlib` and `scipy` to model gravitational interactions and animate orbital trajectories. ๐๐ญ
differential-equations matplotlib mplot3d newtonian-mechanics numerical-integration numpy orbital-mechanics python runge-kutta-methods scipy-integrate three-body-problem three-body-simulation
Last synced: 02 May 2026
https://github.com/back2matching/turboquant-vectors
Compress embeddings 6x instantly with TurboQuant. First pip package using Google's TurboQuant (ICLR 2026) for vector search. 71.9% recall vs FAISS PQ 13.3%.
compression embeddings faiss machine-learning numpy quantization rag turboquant vector-search
Last synced: 08 Jun 2026
https://github.com/y-india/project-smart-attendance-system-opencv
AI-powered Smart Attendance System using Face, Eye, and Mask detection โ automates daily attendance with real-time computer vision and CSV logging. | see README below , please.
attendance-system automation cctv-cameras cctv-detection numpy opencv opencv-python pandas project projects python python3 real-world-problem-solving real-world-project webcam
Last synced: 02 May 2026
https://github.com/rvats20/python-programming-basic
Python programing basic to develop robust python applications.
data-science eda learning learning-by-doing matplotlib-python numpy pandas python
Last synced: 02 May 2026
https://github.com/nekruzash/machine-learning-decision-trees
This is from CS2023 - AI/DS/ML class, trained a machine learning model with heart disease data sets to predict a correlation using numpy and pandas.
jupyter-notebook numpy pandas python
Last synced: 02 May 2026
https://github.com/khaymanii/titanic_survival_prediction_-model
This Model was built using Python and Logistic Regression algorithm
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 02 May 2026
https://github.com/rajharit77/weather-project
Repository for exam on the openweathermap api's project
apache-airflow dataframe jupyter-notebook looker-studio matplotlib numpy openweathermap-api pandas python
Last synced: 02 May 2026
https://github.com/code-taweezy/thermos-ai
An AI-powered thermal optimization and anomaly detection system for energy-efficient data centers. Note: this is a MVP
ai case-study data-visualization lovable-ai machine-learning matpplotlib mvp numpy pandas project python sckiit-learn seaborn solution tensorflow
Last synced: 02 May 2026
https://github.com/rakibhhridoy/machinelearning-featureselection
Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.
extratreesclassifier feature-selection gridsearchcv lasso-regression logistic-regression machine-learning numpy pandas pca rfe rfecv scikit-learn selectkbest
Last synced: 02 May 2026
https://github.com/prashver/titanic-survival-prediction
This project tackles the Titanic challenge on Kaggle, predicting passenger survival based on variables like age, sex, and passenger class. The Jupyter notebook covers essential steps of a data science pipeline, including exploratory data analysis, data cleaning, feature engineering, and modeling. The dataset used is the Titanic dataset.
classification-algorithm machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn
Last synced: 02 May 2026
https://github.com/oguzhansarigol/expected-goals-xg-data-analysis
We will analyze in our code the expected goal locations of football players based on which areas of the field, at what times, with which feet, using which parts of their bodies, and from which angles and distances they are most likely to score.
data-analysis-python expected-goals numpy pandas-python python
Last synced: 02 May 2026
https://github.com/cchandre/quasiperiodic_frenkel-kontorova
Analyticity breakdown for Frenkel-Kontorova Models in quasiperiodic media
dynamical-systems frenkel-kontorova hamiltonian numpy python3 scipy
Last synced: 02 May 2026
https://github.com/iv4n-ga6l/realtime-car-traffic-tracking
Realtime car traffic tracking using yolov8 model
cartracking numpy opencv python ultralytics yolov8 yolov8n
Last synced: 02 May 2026
https://github.com/zazi2002/machine-learning-project
Introduction to Machine Learning project with the goal of improving the classification performance on a dataset by optimizing the number of features and weak learners.
dimentionality-reduction ensemble-learning numpy pca random-forest scikit-learn
Last synced: 02 May 2026
https://github.com/madhuresh2011/telco-customer-churn-analysis-using-python
The analysis primarily investigates factors influencing customer churn, particularly focusing on payment methods and contract types.
csv data-analysis matplotlib numpy pandas pyhton seaborn vizualisation
Last synced: 02 May 2026
https://github.com/italoseara/cet083
Medidas de Posiรงรฃo (ou separatrizes) - CET083
data-science matplotlib numpy pandas portuguese python statistics university
Last synced: 03 May 2026
https://github.com/guiferviz/happyml
Machine Learning Python library for academic purposes.
deep-learning deep-neural-networks learning machine-learning machine-learning-algorithms neural-network neural-networks numpy
Last synced: 03 May 2026
https://github.com/pratishtha-abrol/principlecomponentanalysis
Principle Component Analysis with Numpy and Python
numpy principal-component-analysis python
Last synced: 03 May 2026
https://github.com/mirseo/pandas_learning
pandas_learning
data-analysis data-analysis-python data-science data-visualization numpy numpy-example pandas pd python python-3 python3
Last synced: 03 May 2026
https://github.com/pinedah/escom_programming-for-data-science
This repository contains personal notes, exercises, and programs from the Programming for Data Science course at Instituto Politรฉcnico Nacional (IPN). The course focuses on using Python programming for data handling, statistical analysis, and machine learning techniques.
data-science escom matplotlib numpy pandas python python-algorithms python-library
Last synced: 04 May 2026
https://github.com/krik8235/ml-marcom-budget-optimization
Optimize budget allocation across multiple marketing channels to maximize revenue
gradient-boosting machine-learning-algorithm machine-learning-algorithms machine-learning-projects numpy pandas random-forest seaborn sklearn
Last synced: 04 May 2026
https://github.com/mgobeaalcoba/datacademy
Irรฉ subiendo los distintos desafรญos del reto de Platzi llamado Datacademy
anaconda deepnote google-colab jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 04 May 2026
https://github.com/svetlanam/data-scripts
Simple scripts for data cleaning, etl transformations and data reorganisations
data-cleaning data-transformation dimensions etl facts keboola numpy pandas python3 snowflake sql star-schema
Last synced: 04 May 2026
https://github.com/harmanveer-2546/predicting-customer-churn-for-a-telecom-company
Customer churn is a significant issue for big business companies. Companies are attempting to create methods for predicting customer churn to get a direct impact on getting more revenues, particularly in telecom companies.
ann autoencoder churn-prediction customer-churn-prediction encoding mlp model-building-and-evaluation numpy os pandas standardization
Last synced: 04 May 2026
https://github.com/nemeslaszlo/lending-club-analysis
Lending Club analysis, with a model that can predict whether or nor a borrower will pay back their loan.
binary-classification classification data-visualization keras matplotlib numpy pandas seaborn tensorflow
Last synced: 12 Apr 2026
https://github.com/tom474/rice_plant_disease_classification
[RMIT 2025A] COSC2753 - Machine Learning - Group Assignment
classification machine-learning matplotlib numpy pandas python scikit-learn seaborn tensorflow
Last synced: 11 Jun 2025
https://github.com/shivendrra/Seeker
This project will help to write new scripts for YouTube videos from scratch using fine-tuned Llama-7B
ai artificial-intelligence finetuning google-custom-search-api google-custom-search-engine llama2 llm numpy pandas python pytorch react-native reactjs transformers youtube-api
Last synced: 30 Dec 2025
https://github.com/isa1asn/plagiarism-detector
Plagiarism detection for Amharic language text
amharic cosine-similarity doc2vec fastapi gensim nlp numpy plagiarism-detection preprocessing stopwords-removal vector-embeddings
Last synced: 11 May 2026
https://github.com/singhmnprt01/Custom-Deep-Neural-Network-Package
A custom deep neural network package that gives the liberty to design your deep neural network using only NumPy
customized-deep-neural-network deep-learning-framework maths-behind-neural-network numpy
Last synced: 09 Jul 2025
https://github.com/balaji24092001/python
All python related content: notes, problems, progress archive.
matplotlib numpy opencv pandas python3 scipy-stats seaborn sklearn sqllite
Last synced: 12 Apr 2026
https://github.com/virajbhutada/article-recommendation-system
This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.
anaconda article-recommendation clustering-algorithm data-analysis data-science keras-tensorflow machine-learning machine-learning-algorithms ml-models numpy pandas plotly python scikit-learn scipy
Last synced: 06 Jan 2026
https://github.com/rish-16/linearly
Discount NumPu implementation using barebones Linear Algebra concepts
Last synced: 19 May 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: 03 May 2026
https://github.com/m-faizan-mahmood/house-price-prediction-machine-learning-model
Implemented a Multiple Linear Regression model to predict house prices based on square footage, number of bedrooms, and age of the house.
artificial-intelligence data-analysis data-science data-visualization machine-learning machine-learning-algorithms matplotlib neural-network numpy pandas predictive-modeling python regression-models seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/prithivsakthiur/qwen-image-edit-2509-loras-fast
Qwen-Image-Edit-2509-LoRAs-Fast is a high-performance, user-friendly web application built with Gradio that leverages the advanced Qwen/Qwen-Image-Edit-2509 model from Hugging Face for seamless image editing tasks.
aoti diffusers diffusion-models flash-attention-3 huggingface-spaces huggingface-transformers kernel numpy peft python pytorch qwen-image-edit qwen-image-edit-2509 qwen2-5-vl qwen3-vl torch torchvision
Last synced: 03 May 2026
https://github.com/moustafamohamed01/moustafamohamed01
Software Engineering Student | Specializing in Machine Learning, Deep Learning, and Generative AI
artificial-intelligence artificial-neural-networks config convolutional-neural-networks data-analysis data-science data-visualization deep-learning keras machine-learning matplotlib natural-language-processing numpy pandas python pytorch recurrent-neural-networks scikit-learn seaborn tensorflow
Last synced: 08 Apr 2026
https://github.com/codehass/facial-emotional-detection
Implement a complete AI pipeline in Computer Vision, from face detection to emotion classification using CNNs (TensorFlow/Keras) and Haar Cascades (OpenCV), and integrate this model into a FastAPI API connected to a PostgreSQL database.
cnn-model fastapi keras mathplotlib numpy opencv postgresql pydantic pytest sqlalchemy tensorflow
Last synced: 12 Apr 2026
https://github.com/yash22222/sync-intern-s-ml-tasks
SYNC INTERN'S Machine Learning internship will offer you to enhance your skills by doing real-life example projects. This internship will increase your knowledge in the field of data and algorithms to understand how a machine learns.
bhpp boston-house-datasets boston-house-price-prediction boston-house-pricing data data-structures machine-learning machine-learning-algorithms numpy pandas sync-intern sync-interns
Last synced: 07 May 2026
https://github.com/shahin-ro/table-detection
Python tool for table extraction & Persian OCR. Uses OpenCV for table detection, Tesseract for text extraction, & Pandas for data output. Visualizes cells & text. Ideal for Persian documents! ๐โจ
colab computer-vision data-extraction data-visualization document-processing image-analysis image-processing machine-learning matplotlib numpy ocr opencv pandas persian-ocr persian-text python table-detection table-extraction tesseract text-recognition
Last synced: 08 Apr 2026
https://github.com/varun-khorgade/churnshield-customer-retention-predictor
Built an ML-based classification model to predict customer churn. Applied data preprocessing, feature engineering, and ensemble algorithms to improve prediction accuracy and help businesses implement retention strategies.
classification-algorithm datapreprocessing f1-score feature-engineering hyperparameter-tuning logistic-regression matplotlib model-evaluation numpy pandas python ran roc-auc scikit-learn seaborn xgboost
Last synced: 07 May 2026
https://github.com/jabhij/eda_experiments
In this repo I'll use different types of datasets to explore and implement various Exploratory Data Analysis (EDA) approaches.
ames-housing analysis battery-life blackfriday-analysis data-analysis data-science data-visualization eda matplotlib-pyplot numpy pandas python seaborn visualization zomato-data-analysis
Last synced: 14 Apr 2026
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/rhazra-003/plotting_practice
Plotting using matplotlib and numpy
jupyter-notebook matplotlib numpy plotting-in-python python statistics
Last synced: 07 May 2026
https://github.com/xaxm007/nn-numpy
A Basic Logistic Regression Neural Network using NumPy and calculus.
critical-indulgence logistic-regression neural-network numpy study
Last synced: 19 May 2026
https://github.com/satvikpraveen/fashionmnist-analysis
A comprehensive analysis of the Fashion MNIST dataset using PyTorch. Covers data preparation, EDA, baseline modeling, and fine-tuning CNNs like ResNet. Includes modular folders for data, notebooks, and results. Features CSV exports, visualizations, metrics comparison, and a requirements.txt for easy setup. Ideal for ML workflow exploration.
computer-vision confusion-matrix convolutional-neural-networks deep-learning-algorithms exploratory-data-analysis fashion-mnist-dataset fine-tuning hyperparameter-tuning image-classification jupyter-notebook machine-learning-algorithms matplotlib-pyplot model-evaluation numpy pandas pytorch resnet-18 scikit-learn seaborn vgg
Last synced: 22 Apr 2025
https://github.com/rudrakshi99/movie-recommendation-system
Movie recommendation system using machine learning and predict user ratings for the movies.
dataframes machine-learning matplotlib numpy pandas seaborn
Last synced: 07 May 2026
https://github.com/osx-rsplug-a/py_studies
Python studies
math matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/hansalemaos/numpycythonpermutations
Permutations, Combinations and Product for Numpy - written in Cython - 20x faster than itertools
c combinations cython fast itertools numpy permutations product python
Last synced: 08 May 2026
https://github.com/imswappy/ads-eda-predictor
Interactive Streamlit app for marketing campaign analytics and prediction. Includes dashboards, EDA, econometrics tests (ADF, cointegration, OLS diagnostics), ML pipelines with preprocessing, CV, and persistence. Predict outcomes with Linear/Ridge/Lasso/Random Forest regressors.
adf breusch-pagan cointegration lasso-regression linear-regression matplotlib-pyplot numpy pandas random-forest ridge-regression seaborn sklearn
Last synced: 02 May 2026
https://github.com/henriqueotogami/curso-de-python3-udemy
Documentos do curso de Python 3, com arquivos das aulas, e Jupyter Notebook. Conceitos de Machine Learning.
iris-dataset jupyter-notebook linear-regression numpy pandas-python python3 udemy
Last synced: 08 May 2026
https://github.com/armahdavi/unsupervised-clustering-ml---pm_source_detection-indoor-air
Indoor PM2.5 source detection algorithm using unsupervised clustering ML method (k-means clustering)
climate-data dbscan dbscan-clustering jupyter-notebook kmeans kmeans-clustering matplotlib-pyplot numpy pandas pca python signal-processing spyder-python-ide tsne
Last synced: 06 May 2026
https://github.com/sourabh-kumar04/numpy-basic
Numpy-Basic is a structured learning repo covering NumPy from basics to advanced. It includes arrays, indexing, reshaping, filtering, vector ops, angle functions, stats, and .npy file handling. Each concept is explained with code, examples, and Matplotlib visualizations in both light and dark modes. Ideal for students and data learners.
data-analysis data-science data-visualization learning learning-resources machine-learning matplotlib numerical-computing numpy python python-library python-programming
Last synced: 10 May 2026
https://github.com/zacheddy/imageclassifier
A convolutional neural network from scratch to classify images (demo available)
image-classifier machine-learning neural-network numpy
Last synced: 19 May 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/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/lostvikx/fintech-pg
Files related to my FinTech course
analytics data-analysis data-science data-visualization finance fundamental-analysis numpy pandas python technical-analysis
Last synced: 14 Apr 2026
https://github.com/oleksiilatypov/face_app_edit
DRU style gan project
cnn gan matplotlib-pyplot numpy pytorch-tutorial
Last synced: 19 May 2026
https://github.com/mrarvind90/fcc-mean-var-std-calculator
A Python program to compute the mean, variance, standard deviation, maximum, minimum, and sum of a given list, both flattened and along specified axes using Numpy.
black freecodecamp freecodecamp-challenge freecodecamp-project numpy python3
Last synced: 19 May 2026
https://github.com/an4pdm/exercicios-de-numpy
Repositรณrio com exercรญcios bรกsicos de Numpy para praticar.
exercicios-python exercicios-resolvidos exercises jupyter-notebook jupyterlab numpy numpy-exercises numpy-python python study tutorials
Last synced: 06 May 2026
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/nikita-data/eda_projects
Exploratory data analysis projects
cac data-analysis data-visualization eda folium-maps hypothesis-testing ltv math matplotlib numpy plotly python regular roi scipy seaborn segmentation statistics unit-economics
Last synced: 06 Jan 2026
https://github.com/nirmalvatsyayan/data-analyst-nanodegree
Udacity data analyst nanodegree project submissions and learning
data-analysis numpy pandas python statistics udacity-data-analyst-nanodegree
Last synced: 12 Apr 2026
https://github.com/mchenryspagg/prosper-loan-project
A data analysis project that entails using the data from a fictional loan company known as Prosper to perform exploratory data analysis using univariate, bivariate and multivariate visualizations to produce insights that answers questions asked from the data
datastorytelling exploratory-data-analysis exploratory-data-visualizations jupyter-notebook matplotlib-pyplot numpy pandas python seaborn-plots
Last synced: 13 Apr 2026
https://github.com/inoles/resumeinsight
AI-powered resume screening tool
numpy pandas pandas-python pdfminersix python resume resume-screening spacy spacy-nlp
Last synced: 05 May 2026
https://github.com/earth-app/doc2lora
Generate LoRA Adapters from documents
ai cloudflare-ai cloudflare-workers lora numpy py python torch
Last synced: 16 May 2026
https://github.com/buathiertom/pictures-stacking
SAE de dรฉveloppement d'une interface d'empilement d'image
astropy mathplotlib numpy pyplot pyqt6 python-pyqt6
Last synced: 29 Mar 2025
https://github.com/ngoyal16/python-stick-fight-shadow-warrior
ai numpy opencv python stick-fight-shadow-warrior
Last synced: 08 May 2026
https://github.com/mohamedawnallah/covid19-dataanalysis-python
how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. In this project, we are going to work with the COVID19 dataset, published by John Hopkins University, which consists of the data related to the cumulative number of confirmed cases, per day, in each Country. Also, we have another dataset consist of various life factors, scored by the people living in each country around the globe. We are going to merge these two datasets to see if there is any relationship between the spread of the virus in a country and how happy people are, living in that country.
covid19 dataanalysis datavisualization happiness-report jupyternotebook numpy pandas python
Last synced: 08 May 2026
https://github.com/mansurpro/digitrecognizer
DigitRecognizer is a simple, handcrafted neural network implemented with NumPy to classify handwritten digits from the MNIST dataset. This project demonstrates the foundational principles of neural networks, including forward propagation, backpropagation, and gradient descent, all built from scratch without relying on deep learning frameworks.
backpropagation custom-dataset data-visualization deep-learning from-scratch gradient-descent handwritten-digit-recognition machine-learning minimal-dependencies mnist neural-network numpy python
Last synced: 16 May 2026
https://github.com/soumya-kushwaha/data-science-and-ml
data-science matplotlib numpy pandas python-libraries seaborn
Last synced: 06 May 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/vartikaraj2512/animalclassification
๐พ Animal Classification: Classify 28K animal images into 10 categories using CNNs with Transfer Learning. ๐ฅ Load & extract data, ๐ preprocess images, ๐ง train models (VGG-16 & ResNet50), and ๐ plot performance. Libraries: OpenCV (BGR), TQDM (progress bars), Categorical (one-hot encoding). ๐ ๏ธ Install: pip install tensorflow numpy opencv-python
classification cnn kaggle machine-learning numpy opencv pandas tensorflow
Last synced: 20 Jan 2026
https://github.com/ayuhamaro/py_weight_estimation
้ซ้่ฎๅ้ ไผฐ
matplotlib numpy pandas python3 scikit-learn scipy
Last synced: 12 Apr 2026
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/toby-sanders-101/mydigits
Everything needed to create a AI bot that can read images
deep-neural-networks image-classification matplotlib numpy opencv pyautogui python
Last synced: 08 May 2026
https://github.com/celineboutinon/bottleneck
ENSAE-ENSAI Formation Continue (Cepe)/OpenClassrooms Data Analyst 2022-2023 - Projet 5
data-analysis data-analytics data-visualisation dataframes market-intelligence marketing-analytics matplotlib-pyplot missingno numpy pandas python seaborn
Last synced: 07 Sep 2025
https://github.com/rishraks/color-object-detection
This project enables real-time detection of user-defined color objects using a webcam. Users enter a color name, and the program identifies objects matching that color by converting it to its HSV range, applying a mask, and detecting contours. It's a practical tool for object tracking, sorting, and interactive applications.
computer-vision numpy opencv pillow-library
Last synced: 11 Apr 2026
https://github.com/peterfication/num-peek
A CLI tool to peek into *.npy files
Last synced: 20 Jan 2026
https://github.com/tabotcharlesbessong/recommendationframeworks
learning deep learning and machine learnint
matplotlib numpy os pandas pillow python3 pytorch
Last synced: 08 Apr 2026
https://github.com/javierkaiser9/rgbd-dual_input_machine_learning_model
This Demo presents a machine learning-based steering module for sidewalk navigation . Using a dual-input EfficientNetV2 model, it processes RGB-D data from an Intel RealSense D415 to classify sidewalk scenarios and generate real-time steering commands. Optimized with OpenVINO
efficientnet efficientnetv2 machine-learning numpy opencv openvino python3 realsense-camera tensorflow
Last synced: 31 Dec 2025
https://github.com/indhra/helloworld
1.Numpy tutorial
numpy numpy-arrays numpy-tutorial python3
Last synced: 09 May 2026
https://github.com/ksalekk/ecg-monitor
ecg matplotlib numpy python scipy signal-processing
Last synced: 03 Feb 2026
https://github.com/jesussantana/ibm-python-for-data-science-py0101en
This introduction to Python will kickstart your learning of Python for data science, as well as programming in general.
data-science numpy pandas python
Last synced: 08 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/khaymanii/customer_segmentation_model
This model was built using Python and KMeans Clustering algorithm
matplotlib numpy pandas python sckit-learn seaborn
Last synced: 06 May 2026
https://github.com/aroojzahra908/artifical-intelligence-and-machine-learning-
Explore the basics of linear regression, gradient descent, and AI using Python. Get hands-on with NumPy, pandas, Matplotlib, and scikit-learn for practical learning.
artificial-intelligence gradient-descent linear-regression machine-learning matplotlib numpy pandas scikit-learn-python
Last synced: 08 May 2026
https://github.com/oriyarden/binary-multiclassificationneuralnetworksfromscratchnumpyarraysonlypython
Neural networks for binary and multiple classification from scratch (using only numpy arrays) in Python
artificial-intelligence artificial-neural-networks backpropagation backpropagation-neural-network data-science from-scratch google-colab-notebook iris iris-classification iris-dataset machine-learning neural-networks numpy numpy-arrays object-oriented-programming oop python recurrent-neural-networks
Last synced: 08 May 2026
