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: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/prasadlokhande-880/imagetransformationtool
This script demonstrates image transformations using OpenCV, including shifting, resizing, rotating with scaling, and skewing for various image processing tasks.
ai datamanipulation ml numpy opencv python
Last synced: 08 May 2026
https://github.com/ki-seki/set_determ
Set deterministic modes of `random`, `torch` and `numpy` to ensure reproducibility. Idea is inspired by https://darinabal.medium.com/deep-learning-reproducible-results-using-pytorch-42034da5ad7
deterministic numpy pytorch random-generation reproducibility
Last synced: 08 May 2026
https://github.com/akashash01/logistic-regresion
This is an contrast of linear regression model, used to examine the association between the independent variable(category or contineous) with dependent variable(binary), which is an discrete outcome.
auc-roc-curve classification confusion-matrix data-science kolmogorov-smirnov machine-learning nonlinear-regression numpy pandas python supervised-learning vif woe-and-iv
Last synced: 08 May 2026
https://github.com/neetigyab/pdfreader
Ready to use Python application/file for parsing a specific format of pdf form, and storing relevant user data in a tabular format in excel sheet
excel forms matplotlib numpy ocr opencv-python pandas pdf pdf-converter pdfplumber pytesseract python
Last synced: 08 May 2026
https://github.com/sominw/cheatsheets
Useful cheatsheets for DS.
cheat-sheets cheatsheet numpy pandas probability
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https://github.com/wenlu057/deep-learning-practice
deep learning projects from Udacity
cnn-model deep-learning logistic-regression neural-network numpy python rnn-model tensorflow udacity
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https://github.com/muhamedayoub/numerical-analysis-project
This repository contains an academic project for the numerical analysis module.
analysis mathematics matplotlib numpy r
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https://github.com/tanu272004/-income-mortgage-housing-insights-a-state-city-analysis-
To analyze state & city housing trends and affordability using data analytics.”
bigquery business-intelligence data-analysis data-visualization dax googlecloud kpi numpy powerbi predective-modeling python sql
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https://github.com/alexcoder04/image-edit
A Python GUI for basic image editing, school project
fun gui image-editing image-processing numpy pil pyqt pyqt5 python python3 qt sideproject
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https://github.com/khaymanii/medical_insurance_cost_prediction-_model
This Model was built using Python and Linear Regression algorithm
matplotlib numpy pandas python sckit-learn seaborn
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https://github.com/hemilkaklotar/num-plot
Python Libraries Tutorials for Numpy and Matplotlib
matplotlib numpy patterns python
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https://github.com/realamirhe/leaf-node
A leaf node for your machine learning journey, from scratch to practical applications...
algorithm auto-encoder classification cybernetics feature-extraction feedback-mechanism lda learning machine-learning machine-learning-journey numpy pca practice regression scikit-learn sklearn smlfdl
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https://github.com/abdulfatir/subkmeans
Numpy and pyCUDA implementation of subKmeans
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https://github.com/ibz-04/number-plate-recognition
Vehicle number plate recognition using computer vision and image processing
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https://github.com/eljandoubi/huggingface_image_classifier
Fine-tune the Vision Transformer (ViT) using LoRA and Optuna for hyperparameter search.
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https://github.com/k-ibadullaev/py-ssa-lib
Py-SSA-Lib: Python implementation of the multichannel singular spectrum analysis (MSSA) and singular spectrum analysis (SSA)
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https://github.com/khaymanii/car-price-prediction-model
This is a model built using Python , Lasso and Linear Regression algorithm.
matplotlib numpy pandas python sckiit-learn
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https://github.com/heisenberg141/deep-learning-from-scratch
In this repository, I have showcased implementation of deep learning methodologies and architectures using Python and Numpy
algorithms binary-classification computer-vision data-science deep-learning deep-neural-networks implementation machine-learning multi-class-classification neural-network numpy python regression-models
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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
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https://github.com/rhazra-003/sketcher
A simple python code to make sketch out of any given photo using opencv and numpy
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https://github.com/RsGoksel/Genetic-Algorithms
A Guide to Problems and Solutions on Genetic Algorithms
agent evolutionary-algorithms game game-solution genetic-algorithm genetic-algorithms gym neural-network numpy numpy-arrays pygame python stable-baselines3
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Character-LSTM implementation in Numpy
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A notebook repository for tracking learning machine learning notebook.
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Computational Photography course - University of Wroclaw
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https://github.com/kirkalyn13/open-signal-report-generator
Script used to generate results/summary, including the trends of flagged provinces, from the raw excel data file,
data-analysis data-science data-visualization matplotlib numpy pandas python
Last synced: 19 Jun 2026
https://github.com/octcarp-courses/SUSTech_CS303-AI_F23_Works
(49.8/50) Course code of CS303 2023 Fall: Artificial Intelligence, SUSTech. Taught by Prof. Ke TANG.
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https://github.com/guptaachin/titanic-data-analysis
This is analysis and modelling of the famous Titanic Data Set from Kaggle.
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Noise- and Outlier-Robust Fourier Transform with Hermite Functions with NumPy and Numba
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https://github.com/Tritonix711/FractureAI
This tool helps people upload X-rays to find broken bones. It uses a machine to mark where the breaks are and gives users marked pictures to download. A smart computer also helps people understand their broken bones and gives them advice.
css cv2 flask gorq html javascript matplotlib npm numpy pandas pydantic python react scikit-learn torch torchvision ultralytics
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https://github.com/Zion-Dev1/E-commerce-Analysis
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https://github.com/MITHILESHK11/Steganography-App-Aicte-Internship-Cybersecurity-Edunet-Foundation
Secure Image Steganography App : This Streamlit-based Steganography App lets you securely encrypt and decrypt messages in images using the Least Significant Bit (LSB) technique. Messages remain invisible unless unlocked with the correct password.
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https://github.com/alisonmitchell/boston-housing
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https://github.com/anandarauf/wifu-detection
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Python script that resamples an instruments minute by minute candle stick data to any interval
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A machine learning-powered movie recommender system designed to provide personalized recommendations based on user preferences and data analysis. This project includes a backend recommendation engine, a Streamlit-based interface, and a web-based frontend for an enhanced user experience.
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This repository contains a machine learning project focused on predicting gold prices (GLD) using historical stock market data, including indicators such as SPX, USO, SLV, and EUR/USD. The project implements a Random Forest Regressor for accurate price forecasting, complete with data visualization, correlation analysis, and model evaluation metrics
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Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng
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https://github.com/ansub/mask-detection
A Mask Detection Application using Keras/TensorFlow and OpenCV.
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Small Machine Learning library written in Python
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AI-powered web app built at "Codeathon 2024" IIIT Bangalore
clerk-auth node-js numpy pandas python reactjs streamlit
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https://github.com/dmarks84/coursework_coursework_project_automobile-sales-visualization
Project for IBM Data Science course on Visualization & Dashboards -- Analyzed historical sales data, performing EDA and setting up an interactive dashboard
communication dash dashboards data-modeling elt etl folium matplotlib numpy pandas pipelines plotly python scipy seaborn visualization
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https://github.com/camilajaviera91/prediction-of-housing-prices-using-linear-regression
This project provides tools to search for datasets on Kaggle, download and preprocess them, and perform predictions using a Linear Regression model. It includes interactive text-based user interfaces built with `curses`.
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https://github.com/mhmudfzli/exploring-mental-health-data
This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance
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https://github.com/madhurimarawat/python-for-datascience
This repository contains programs in the python programming language.
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https://github.com/manjillama/machine-learning-101
Introduction to machine learning, conda environment, Jupyter Notebook, Pandas, NumPy and Matplotlib.
conda-environment jupyter-notebook machine-learning matplotlib numpy pandas python
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https://github.com/nirmalnishant645/attendance-system
Automated Attendance System using Facial Recognition in Python
attendance-system cv cv2 face-recognition facial-recognition haar-cascade haar-cascade-classifier machine-learning numpy opencv opencv-python pandas python python-3 python3 sql sqlite sqlite3 tkinter tkinter-gui
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https://github.com/nazli-d/binary-classification-using-cnn
This project utilizes a CNN model to classify cat and dog images through training and testing processes. The model is created using the Keras library on the TensorFlow backend.
binary-classification cat-and-dog-classifier cnn convolutional-neural-networks flatten keras max-pooling numpy opencv python relu-activation sigmoid-function tensorflow
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https://github.com/nirmalyabag20/crop-yield-prediction-using-machine-learning
This project uses machine learning to predict crop yields based on factors like region, crop type, rainfall, temperature, and pesticide use. By analyzing a dataset of over 28,000 records, the models provide accurate yield forecasts, helping optimize farming decisions and resource management, ultimately contributing to sustainable agriculture.
jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/georgiivoyakin/mirea-big-data
Python Big Data programming tasks for institute
apriori-algorithm apriori-algorithm-python fpgrowth jupyter-notebook numpy pandas plotly python python3 scipy sklearn
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This project implements an anomaly detection algorithm to identify failing servers in a network. The model is trained on a dataset with throughput and latency features, estimating parameters for anomaly detection. The approach is extended to a high-dimensional dataset, showcasing its effectiveness in detecting outliers and anomalies
anamoly data-science machine-learning matplotlib numpy pyhton seaborn
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This project involves analyzing a dataset through statistics and visualizations to uncover patterns & correlations. It trains classifiers (Neural Networks, Random Forests, Bayesian Networks) to predict physical activities and evaluates their performance. Finally, it clusters participants' activities using 2 algorithms, comparing their effectivenes.
matplotlib numpy pandas seaborn sklearn sklearn-metrics
Last synced: 15 Apr 2026
https://github.com/sizzlins/kalkulator-ai
A Simple Command Line Input Symbolic Regression Engine and Computer Algebra System (CAS) capable of discovering the laws of the universe, solving calculus, algebra, and trigonometrics.
calculator calculus cli computer-algebra-system curve-fitting machine-learning mathematics numpy physics python scientific-computing scikit-learn sparse-regression symbolic-regression sympy
Last synced: 13 Jan 2026
https://github.com/iver56/cython-region-growing
A quick experiment: Region growing (AKA flood fill) algorithm implemented in Cython and Python
benchmark cython flood-fill numpy python region-growing
Last synced: 25 Apr 2026
https://github.com/ryannapp12/quant_trading_engine
A modular, and scalable quantitative trading engine built in Python. This project demonstrates efficient data caching with SQLite, concurrent backtesting, and advanced risk analytics, showcasing best practices in clean code architecture and performance optimization.
algorithmic-trading backtesting dash data-analysis data-visualization fintech lstm machine-learning numpy pandas plotly python quantitative-finance real-time risk-management sqlite technical-analysis tensorflow time-series-analysis trading-strategies
Last synced: 11 Apr 2026
https://github.com/rickymagner/nonlinear-gradient-descent
An example of using gradient descent to approximate noisy data sampled from a cubic curve.
matlab matplotlib numpy octave pandas python
Last synced: 09 Apr 2026
https://github.com/meghajbhat/photo-editor
This is a Photo Editor Application with various image processing functionalities using Tkinter for the GUI and OpenCV for image manipulation. The application allows users to apply multiple filters and transformations to images such as Black and White, Pencil Sketch, Sepia, Crop, Sharpen, Contrast, X-ray, and Brighten.
gui numpy opencv opencv-python python python3 tkinter tkinter-gui tkinter-python
Last synced: 31 Jan 2026
https://github.com/nomadsdev/pulse-detect
PulseDetect is a Python tool that detects audio frequencies in real-time. It captures sound from the microphone and identifies the dominant frequency using pyaudio and numpy
numpy pulse-detect pyaudio python scipy
Last synced: 07 Jan 2026
https://github.com/rcghpge/pymo
A framework in Mojo for AI/ML/DL applications and other domains.
deep-learning deep-neural-networks machine-learning machine-learning-models magic-cli max-gpu modular mojo mojo-language numpy pandas pymo python python-language scikit-learn
Last synced: 15 Mar 2025
https://github.com/elissorokin/data-analyst-portfolio-rus
Это репозиторий, в котором я демонстрирую свои навыки, делюсь проектами и отслеживаю прогресс в области анализа данных и Data Science.
ab-testing data data-analysis datalense matplotlib numpy pandas plotly portfolio postgresql python scipy seaborn sql statistical-analysis
Last synced: 25 Feb 2026
https://github.com/dhruvsrikanth/pynn
Purely NumPy based API for building deep neural networks.
deep-learning deep-learning-framework machine-learning numpy python pytorch
Last synced: 09 May 2026
https://github.com/nvinayvarma189/deep-learning-with-tensorflow
This repo consists all the basics of tensorflow and all major Deep Learning algorithms and techniques implemented in tensorflow. It will explain you the basics of tensorflow. You can visualize how tensors flow through a grapg while you create one
autoencoder cnn deep-learning gan matplotlib neural-network numpy pandas python3 reinforcement-learning rnn tensorflow
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https://github.com/ayushsaksena30/cosmic-classifier
This notebook implements a structured machine learning pipeline to classify cosmic data using the CatBoost Classifier, known for its efficiency with categorical features and minimal preprocessing requirements.
catboost-classifier label-encoder machine-learning matplotlib numpy pandas robust-scaler scikit-learn seaborn simple-imputer
Last synced: 15 Apr 2026
https://github.com/burakkagann/pixels2genai-2.0
Free, open-source curriculum teaching generative art and AI across 15 modules, from a single pixel to diffusion models.
computer-vision creative-coding curriculum deep-learning design-based-research diffusion-models education gans generative-ai generative-art machine-learning numpy pytorch touchdesigner vae
Last synced: 19 Jun 2026
https://github.com/tynab/machine-learning-overview
CyberSoft Machine Learning 03 - Overview
elasticnet-regression jupyter-notebook k-nearest-neighbours knn knn-classification label-encoder lasso-regression linear-regression logistic-regression machine-learning matplotlib numpy one-hot-encoder ordinal-encoder pandas ridge-regression scikit-learn scipy seaborn sklearn
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https://github.com/kavayk29/quora-duplicate-question-pair
This project improves information retrieval by detecting duplicate question pairs in the Quora dataset using data exploration, text preprocessing, feature engineering, and models like Random Forest and LSTM, aiming to streamline question-answering.
beautifulsoup4 bilstm gensim keras lstm matplotlib numpy pandas pytorch random-forest seaborn sklearn tensorflow xgboost
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https://github.com/thedevreda/python
My Full Backup Packagaes & Files Guide for Python 👷♂️
jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/mattdelaune/ecommerce_market_basket_analysis
This repository includes a Market Basket Analysis (MBA) project with advanced data cleaning and a Power BI dashboard. It identifies top revenue-driving item pairs, their impact on CLV and ATV, and offers insights for optimized product bundling and revenue growth.
anaconda git google-docs jupyter-notebook kaggle-api numpy pandas postgresql powerbi psql random sql sql-magic sqlalchemy vscode
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https://github.com/asanka-j/machine_learning_exercises
Machine learning Self study Python & R
matplotlib numpy pandas python r sklearn
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https://github.com/tasninanika/k-means-clustering
An interactive and insightful customer segmentation project using K-Means Clustering.
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https://github.com/apoorva-info/eye-blink-detetction
Blink Detector Sensitive to Facial Orientation
mediapipe numpy opencv python3
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https://github.com/skazemi/genadequacy.jl
Tools for single node generation adequacy analysis
adequacy analysis generation julia numpy power-grids power-systems power-systems-analysis python simulation
Last synced: 09 Apr 2026
https://github.com/alibowndyn/flickerforge
A customizable image and GIF generator mimicking old television static, offering control over colors, blur, dimensions, pixel size, and many more.
Last synced: 05 May 2026
https://github.com/felixcharotte/housepredictions_tatahousing
Data science project of real estate price prediction website, deployed using a Flask server on AWS, incorporating machine learning for price prediction and a UX HTML/CSS/JavaScript for website building.
aws flask jupyter linear-regression numpy pandas python
Last synced: 09 Feb 2026
https://github.com/mohd-faizy/learn_numpy
NumPy (short for Numerical Python) is a powerful Python library used for working with arrays, matrices, and numerical computations.
array-manipulations numpy numpy-arrays numpy-matrix numpy-neural-network numpy-python numpy-tutorial
Last synced: 26 Feb 2026
https://github.com/sushmitha-93/cmpe275---machine-learning-assigments-and-labs
Machine Learning Course Topic wise Assignments and Projects
artficial-neural-network classification-algorithm clustering-algorithm convolutional-neural-networks machine-learning natural-language-processing numpy pandas plotly python regression-algorithms regularization-methods sentiment-analysis sklearn tensorflow time-series-analysis
Last synced: 11 Apr 2026
https://github.com/kimpro82/myinvestmentmodules
Someday these will be an integrated trading system, but not now. So I am sad.
investment monte-carlo-simulation numpy python r vba xing-api
Last synced: 10 Feb 2026
https://github.com/cr-mao/machine-learning
机器学习笔记
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Last synced: 12 Nov 2025
https://github.com/rahulvictor12/the-movie-database-data-scrapper
A Python web scraper that collects movie data from The Movie Database (TMDB). It uses `requests`, `BeautifulSoup`, and `pandas` to extract titles, ratings, genres, and cast details from multiple pages. The data is structured into DataFrames and saved as a CSV, perfect for analysis or integration into projects.
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Last synced: 11 Apr 2026
https://github.com/ankushmallick1100/diabetes-prediction-of-females-using-maching-learning-techniques
This is a machine learning work that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here various machine learning algorithms like SVM, RF Classifier, DT Classifier, KNN, LR , LR with CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library.
classification cross-validation decision-tree-classifier diabetes diabetes-prediction jupyter jupyter-notebook logistic-regression machine-learning machine-learning-algorithms numpy pandas python random-forest random-forest-classifier regression streamlit support-vector-machine xgboost xgboost-classifier
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https://github.com/tejasvi541/machine-learning
My Machine and Deep Learning Practice and Projects Notebooks
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https://github.com/nafisfaysal/minwater_reviews
anaconda bootstrap3 django machine-learning numpy panda python3 sklearn
Last synced: 10 Apr 2026
https://github.com/luizcalaca/deep-learning
Códigos de Machine e Deep Learning
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Last synced: 10 Apr 2026
https://github.com/simranjeet97/machine-learning
How to Setup Machine Learning Environment in Your PC or Laptop ? How to install Machine Learning Libraries ? How to Build ML Models, Algorithms and Other Stuff ??Your all Questions are answer here !!!!
algorithm deep-learning environment-configuration keras libraries machine-learning numpy pandas scipy tensorflow
Last synced: 16 Apr 2026
https://github.com/sakshisrivastava-2601/credit-card-fraud-detection
Credit Card Fraud Detection Project Using Machine Learning. This project focuses on leveraging advanced Machine learning techniques to identify fraudulent transactions with high accuracy.
advanced-machine data machine-learning numpy project-repository python pytorch random-forest
Last synced: 16 Apr 2026
https://github.com/jayanthsd2003/ams-attendance_management_system
Project based on AMS-Attendance Management System
anaconda-navigator anaconda3 datetime face-recognition glob haarcascade-frontalface numpy opencv os pandas python python3 text-to-speech tkinter visual-studio-code
Last synced: 11 Apr 2026
https://github.com/salmandeveloperz/ml_house_prediction
project for house price prediction using Classification & Regression models. Includes Docker setup for easy deployment.
classification-model clustering deep-learning machine-learning matplotlib numpy pandas python3 regression-models scikit-learn
Last synced: 10 Apr 2026
https://github.com/gauravtrivedi967/mask_detection
In the present scenario due to Covid-19, there is no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. Also, the absence of large datasets of ‘with_mask’ images has made this task more cumbersome and challenging.
Last synced: 18 Apr 2026
https://github.com/khaymanii/wine-quality-prediction-model
This is a model built using Python and Random Forest Classifier which is an ensemble algorithm and also a supervised learning algorithm
matplotlib numpy pandas python sckit-learn
Last synced: 09 Apr 2026
https://github.com/huaxiaz/honor_engineering_analysis
This repository is adapt from the course materials for Honors Engineering Analysis at Northwestern University. The course is designed for Engineering first-year undergraduate students to learn about linear algebra and its applications.
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Last synced: 14 Feb 2026
https://github.com/giuliotaralli/machine-learning-exercises
Practical exercises from the Machine Learning course
graphviz matplotlib numpy pandas python scipy sklearn
Last synced: 15 Feb 2026
https://github.com/edwardcdev/satellites-chart
A simple dashboard for satellites data statistics by displaying charts such as line-marker, histogram and box charts.
Last synced: 09 Apr 2026
https://github.com/mattdelaune/saas_cohort_analysis
This project analyzes customer segmentation and behavior using data science and cohort analysis. Key metrics like CRR, NRR, CLR, and CLV are examined through detailed charts, including the cohort layer cake and CLR vs. CLV cost efficiency analysis. Exploratory Data Analysis and systematic data manipulation reveal actionable insights.
anaconda git jupyter-notebook matplotlib numpy pandas python saas-data sales-data sales-data-analysis-project seaborn
Last synced: 03 Jan 2026