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/babaquero07/escalamiento-imagenes-python
Proyecto del curso Algebra Lineal - UTADEO
matloptlib numpy pillow scipy streamlit
Last synced: 28 Apr 2026
https://github.com/souvikmajumder26/neural-network-from-scratch
🚀 Building a simple Neural Network to classify the images of the Fashion-MNIST dataset, using only numpy and no TensorFlow, Keras, or PyTorch.
config fashion-mnist logger neural-network neural-network-from-scratch notebook-jupyter numpy project python
Last synced: 21 Apr 2026
https://github.com/mdaltamashalam/uber-fare-prediction-models
Predicts the fare amount of Uber rides based on various factors such as pickup/drop-off coordinates, passenger count, and trip distance.
catboost data-analysis data-cleaning data-visualization lgbm-regressor machine-learning matplotlib numpy pandas python random-forest regression-models skit-learn xgboost-algorithm
Last synced: 26 Feb 2026
https://github.com/giihcastro/trabalho-fisica
3D VPython Electromagnetic Particle Motion Simulator
Last synced: 15 Apr 2026
https://github.com/ksprugevics/galton-board
Python implementation of the Galton board
galton-board numpy pygame pymunk python
Last synced: 29 Apr 2026
https://github.com/ryancswallace/npdb
Parallel NumPy-like interface for large n-dimensional arrays on disk.
mapreduce-designpatterns numpy numpy-arrays parallel-computing python
Last synced: 09 Feb 2026
https://github.com/harmanveer-2546/movie-industry
Investigate the film industry to gain sufficient understanding of what attributes to success and in turn utilize this analysis to create actionable recommendations for companies to enter the industry.
business business-analytics data-analysis datatime film-industry graphs matplotlib movie-database numpy pandas python scraping-websites seaborn visualization web-scraping-python
Last synced: 10 Apr 2026
https://github.com/sarowarahmed/predicting-kolkata-house-price
🏠 Predicting Kolkata House Price: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to predict house prices in Kolkata. Deployed on Streamlit Cloud for easy access and real-time predictions.
app kolkata linear-regression machine-learning numpy pandas scikit-learn streamlit
Last synced: 26 Feb 2026
https://github.com/aleklukanen/systemsofsprings
This repository contains a few helpful pieces of Python code that can be used to compute time dependent positions of springs in 2 and 3 dimensions.
finite-element-methods finite-elements jupyter-notebook numerical numpy python
Last synced: 21 Apr 2026
https://github.com/sahilk12nayak/data-capstone-projects-using-python-libraries
In this data project we will focus on exploratory data analysis. This project utilizes Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn for data manipulation, analysis, and visualization.
matplotlib numpy pandas seaborn
Last synced: 15 Apr 2026
https://github.com/ialam085/super_store_sales_analysis_python
The project is indeed focused on performing an exploratory data analysis (EDA) of Super Store Sales data from various perspectives, using comprehensive visualizations.
charts matplotlib numpy pandas python seaborn visualization
Last synced: 10 Apr 2026
https://github.com/mahmud-kandawala/simulating-covid-19-python-
This repository contains a Python program that simulates the spread of COVID-19 using Numpy and Matplotlib for calculations and visualization. The simulation offers an interactive way to understand virus dynamics and the impact of epidemiological parameters.
Last synced: 16 Apr 2026
https://github.com/carterbox/libimage
Provides large (2k) test images as NumPy arrays.
Last synced: 15 Apr 2026
https://github.com/harmanveer-2546/statistics-for-machine-learning
Statistical tools help you clean and organize your data. You can identify outliers, manage missing values, and ensure your data is in a format that the ML algorithms can understand.
inline matplotlib matplotlib-styles numpy pandas probability python seaborn statistics
Last synced: 18 Apr 2026
https://github.com/danpoynor/pet-shelter-data-analysis-notebook
Demonstration of skills analyzing data from a pet shelter. The CSV data contains tables detailing the incoming and outgoing animals and I use my knowledge of Pandas to gather and present the requested information.
csv data-analysis data-cleaning data-science jupyter-notebook matplotlib numpy pandas pet-shelter tabular-data
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Signal processing playground
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https://github.com/erikaax08/numerical_methods
This repository hosts the project developed for the Numerical Methods class at the Benemérita Universidad Autónoma de Puebla (BUAP)
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https://github.com/surayasumona/ford_used_car_analysis
Explanatory Data Analysis with Python
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https://github.com/headless-start/yolov4-tiny-raspberrypi
This repository contains YOLOv4-Tiny deployment on Raspberry pi.
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https://github.com/star2dust/numpy-notes
A tutorial to learn numpy and matplotlib.
Last synced: 16 Jun 2026
https://github.com/mattmoony/ann_mnist
Simple self-written ANN powered by NumPy to classify handwritten digits of the famous MNIST Dataset. ✍️
adam ann deep-learning learning-algorithm machine-learning ml mnist mnist-handwritten-digits momentum neural-net neural-network normalization numpy regularization relu sigmoid tanh
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Лабораторные работы по машинному обучению
bert decision-trees jupyter-notebook machine-learning numpy pandas random-forest xgboost
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Show what types of naive-bayes and how to use model and deal with data ( Numerical, Categorical and Mixed between Numerical and Categorical )
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https://github.com/khinthandarkyaw98/python_for_engineers
This particular Python notebook is designed to provide Engineers with an opportunity to practice scientific computations.
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https://github.com/cherukuri-thanu/conjoint-analysis-netflix
This repository contains configuration files for performing conjoint analysis on Netflix survey data.
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https://github.com/jonad/customer_segment
Creating customer segments using unsupervised machine learning algorithm.
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Last synced: 10 Apr 2026
https://github.com/mindkerchief/baselineml
A collection of machine learning task performed during my studies in computer science major in intelligent system.
decision-tree dummy gaussian-mixture-models kmeans-clustering linear-regression logistic-regression machine-learning matplotlib numpy pandas random-forest scikit-learn seaborn tensorflow
Last synced: 16 Apr 2026
https://github.com/mustafaozvardar/image-classification-webapp
This project features an AI model for diagnosing pneumonia from chest X-ray images. Users can upload a chest X-ray image through the app, and the model will classify it.
artificial-intelligence computer-vision keras numpy python streamlit streamlit-webapp tensorflow
Last synced: 27 Feb 2026
https://github.com/hanannazri/predictive-customer-churn-modelling-with-price-sensitivity-insights-
As a part of BCG Data Science Project, I developed a predictive churn-risk model for XYZ energy utility by engineering price, consumption and contract features and training XGBoost and Random Forest models to identify customers most likely to churn at current prices.
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https://github.com/adriantomin/heart-disease-prediction
Predicting Heart Disease with ML 🏥🤖 Machine learning model to predict heart disease using clinical data. Includes data analysis, feature engineering, and model training.
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https://github.com/alonmell/modulnet
Lightweight NumPy-based neural network framework with core layers, loss functions, optimizers, and data utilities
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https://github.com/izhaan0/predict-marks-based-on-study-hours
Student Marks Predictor is a machine learning project that predicts a student’s exam scores based on the number of study hours. It uses Linear Regression to learn the relationship between study hours and marks, and provides both command-line and interactive Streamlit web interfaces for prediction and visualization.
data-visualization joblib jupyter-notebook machine-learning machine-learning-algorithms matplotlib-pyplot numpy pandas pandas-dataframe pickle python scikit-learn seaborn
Last synced: 05 Apr 2026
https://github.com/mohammed-majid/image-classification-nn
Image classification using custom Neural Network (No ML packages)
custom multiclass-classification neural-network numpy
Last synced: 22 Apr 2026
https://github.com/sazzadul-eanan/basic_numpy_learning
Numpy_Basics
jupyter-notebook numpy numpy-arrays numpy-library numpy-matrix numpy-tutorial
Last synced: 22 Apr 2026
https://github.com/walkerdustin/python-linear-regression
simple linear regression in python based on coursera andrew ng course
ai linear-regression machine-learning ml numpy python
Last synced: 05 May 2026
https://github.com/himudigonda/gradwire
GradWire: A NumPy-based Automatic Differentiation Engine
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https://github.com/jpgiant/nyc_energy_prediction
A comprehensive code for predicting energy usage in NYC using Machine Learning Algorithms.
data-analysis data-science data-visualization folium jupyter-notebook machine-learning matplotlib numpy pandas python seaborn sklearn
Last synced: 10 Apr 2026
https://github.com/mouradhamzaoui/tweets_sentiments_emotions_analysis
Les réseaux sociaux, et en particulier Twitter, sont des plateformes essentielles où les utilisateurs expriment leurs sentiments et émotions au quotidien. Analyser les tweets peut fournir des informations précieuses sur l’humeur collective et les préoccupations des gens. Ce projet utilise un dataset de tweets disponible sur Kaggle
Last synced: 16 Apr 2026
https://github.com/bharatsharma07/ipl-analysis
This project provides insights into the IPL's historical data, helping to identify trends, player performance, and team strategies.
data-visualization ipl-data-analysis numpy pandas python
Last synced: 16 Apr 2026
https://github.com/yalai92/alfalfa_imp_exp_analysis
This repository covers data cleaning, analysis, and visualization of global alfalfa and pellet imports, focusing on trends from 2003 to 2023. It also includes a predictive analysis of global alfalfa demand for 2024-2029, using data science techniques to provide insights for stakeholders in the alfalfa industry.
data-analysis data-cleaning data-visualization matplotlib numpy pandas python sckiit-learn tableau
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https://github.com/shakhthi/mlproject
This project is an end-to-end ML solution that predicts math scores from student attributes. It starts with ingesting and preprocessing data, followed by feature engineering to pinpoint key predictors. A robust model is then trained and fine-tuned before being seamlessly deployed to deliver real-time predictions.
jupyter-notebook matplotlib-pyplot numpy pandas python3 seaborn sklearn
Last synced: 16 Apr 2026
https://github.com/ankit21111/carpredict
This project predicts car prices using machine learning models, including Simple and Multiple Linear Regression. It covers data acquisition, feature selection, and optimization techniques like Ridge Regression. The best model, Multiple Linear Regression, achieved an R² score of 0.84. Check out the full analysis in the repository!
data-analysis data-visualization matplotlib numpy pandas pyhton scipy seaborn sklearn
Last synced: 16 Apr 2026
https://github.com/tzepart/choosing-oil-region
Choosing and initialisation a machine learning model that will help determine the region where production will bring the greatest profit with the least risk of loss.
matplotlib ml numpy pandas seaborn sklearn
Last synced: 16 Apr 2026
https://github.com/syedsaadahmed/playing-with-pandas-numpy-matplotlib
Practicing pandas, matplotlib and numpy for different data-sets, practicng these libraries and putting all the bit here in this repository
jupyter-notebook matplotlib numpy pandas pandas-numpy-matplotlib python3
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https://github.com/mariacarolinass/analise-de-dados
Iniciando com NumPy e Matplotlib
matplotlib matplotlib-pyplot numpy numpy-exercises
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https://github.com/haimgoldfisher/data_sience_intro_final_project
Final project of the Data Sience Intro course, Ariel university.
bayes classification decision-trees diamond kaggle knn-classification linear-regression logistic-regression numpy pandas regression scikitlearn-machine-learning sklearn wine
Last synced: 16 Apr 2026
https://github.com/ahmad-ali-rafique/numpy-mastery-notebook
Inside this repository, you'll discover a comprehensive notebook dedicated to showcasing various NumPy array methods and operations. From basic array manipulation to advanced techniques, I've compiled a collection of examples and explanations to help both beginners and seasoned Python developers deepen their understanding of NumPy.
dataanalytics numpy numpy-arrays numpy-exercises numpy-library numpy-python
Last synced: 24 Apr 2026
https://github.com/arserchung/ml_cnn
Basis CNN intro& project of recognize to cat or dog
glob keras keras-models numpy opencv os sklearn tensorflow
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https://github.com/dpgitaccount/project---hospital-readmission-analysis
The goal of this project is to build a predictive model to estimate the likelihood of a hospital readmission based on patient data. By identifying factors that contribute to readmissions, hospitals can optimize care and reduce costs associated with repeated visits.
boxplot confusion-matrix datamodeling exploratory-data-analysis heatmap histplot numpy pandas plotly python random-forest seaborn smote-sampling visualization
Last synced: 16 Apr 2026
https://github.com/amithjoseph777/gourmethaven-case-competition
Predictive analytics case competition project from the Master of Science in Business Analytics course at the College of Business, University of Louisville. Our team analyzed customer response trends for Gourmet Haven, developed a predictive model, and ranked in the Top 5 out of 25 teams.
google-colab jupyter-notebook numpy pandas r scikit-learn
Last synced: 10 Apr 2026
https://github.com/patilsukanya/p01.matplotlib-seaborn-titanic-dataset-visualization
Used libraries and functions as follows:
barplot bivariate boxplot densityplot histogram jointplot matplotlib numpy pairplot pandas python seaborn-plots seaborn-tutorial stripplots swarmplot univariate violinplot visualization
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https://github.com/maia-bastos/estimativas
Projeto de Probabilidades, Amostragem e Estimações com dados reais (IBGE).
numpy pandas python3 scipy-stats
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https://github.com/islamshahil/neuralnetworks
Hello World to Neural Network.
deeplearning neural-network numpy python
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https://github.com/rakesh3596/tutedude_projects
It consist of 3 major project 1:Covid19 Analysis 2:Rainfall Prediction 3:Tumor Detection
csv-files matplotlib numpy pandas plotly python sklearn-library
Last synced: 16 Apr 2026
https://github.com/rixiiz/image-classifier
An AI model that can classifier uploaded images
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Last synced: 10 Apr 2026
https://github.com/jbayardo/aa-tp2
Q-Learning for Four in a row
matplotlib numpy python q-learning
Last synced: 24 Apr 2026
https://github.com/andreashovaldt/simple-neural-network
A simple neural network, created with numpy, based on Stochastic Gradient Descent, used for classifying the MNIST dataset
mnist-classification neural-network numpy stochastic-gradient-descent
Last synced: 16 Apr 2026
https://github.com/codersales/machine-learning-project
Machine Learning Project
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Last synced: 02 Mar 2026
https://github.com/vedikasnehil/my-data-science-projects
This repository is a comprehensive collection of resources and implementations dedicated to the field of Data Science. It serves as a platform for exploring various aspects of data science, ranging from data preprocessing and exploratory data analysis (EDA) to machine learning and deep learning.
data data-science deep-learning machine-learning matplotlib numpy python sql visualization
Last synced: 10 Apr 2026
https://github.com/kavayk29/speech-recognition-using-tdnn-and-data-augmentation
Developed a speech recognition system using TDNN, preprocessing audio, extracting MFCC features, and training the model. Fine-tuning with augmented data (19,000 rows) improved accuracy from 9% to 80% training and 40% validation. Data augmentation proved crucial for enhancing model performance and generalization. Still working to increase the acc.
deep-learning keras-tensorflow numpy os pandas tdnn tensorflow
Last synced: 14 Feb 2026
https://github.com/semasuka/saitproj
BMW service recommender system
auto auto-service bmw numpy pandas python recommender-system scikit-learn streamlit
Last synced: 10 Apr 2026
https://github.com/theroyakash/shallow_neural_network
Design of an one hidden layer neural network using numpy only,
neural-networks numpy shallow-neural-network
Last synced: 24 Apr 2026
https://github.com/saurabh274/netflix-eda
Analyze the data and generate insights that could help Netflix in deciding which type of shows/movies to produce and how they can grow the business in different countries.
matplotlib numpy pandas python seaborn
Last synced: 28 Feb 2026
https://github.com/somenath203/loan-status-prediction-backend
Click below to visit the swagger docs of the website
fastapi jupyter-notebook loan-prediction-analysis numpy pandas randomforestclassifier render scikit-learn
Last synced: 10 Apr 2026
https://github.com/mchenryspagg/economic-variable-correlation-and-productivity-model
This report provides an in-depth analysis of Nigeria's economic performance over the past decade, spanning from 2014 to 2024.
correlation exchangerates inflation moneysupply numpy productivity python regression regression-analysis regression-models visualization
Last synced: 15 Feb 2026
https://github.com/ankitsharma-tech/classification-of-arrhythmia-using-ecg-data
A machine learning project to detect and classify arrhythmias from ECG signals using Python, scikit-learn, and TensorFlow. Includes data preprocessing, model training, and evaluation.
arrhythmia biomedical-signal-processing cardiology classification deep-learning ecg ecg-classification healthcare machine-learning mit-bih-dataset numpy python scikit-learn scipy signal-processing tensorflow time-series-analysis
Last synced: 07 Apr 2026
https://github.com/elam-parithi/singapore_flatprice_predicting
Flat price prediction with Machine learning tools and python.
matplotlib numpy pandas scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/kylehperez/mushroomnet
This API is for research purposes ONLY and is NOT to be used for food-safety or medical advice. Mushroomnet is a machine learning neural network for classifying mushrooms as poisonous or edible. The model was trained on data from uni.edu: over 5,000 instances of mushrooms, with 22 qualitative features and a determination of poisonous or edible.
artificial-intelligence botany flask-api machine-learning mycology neural-network numpy python3 pytorch scikit-learn
Last synced: 09 Apr 2026
https://github.com/justin-marian/numpy-mlp
MLP from-scratch implementation only with NumPy, it supports regression and classification tasks.
classification lasso mlp numpy r2-score regression ridge
Last synced: 16 Feb 2026
https://github.com/ledsouza/medphys-bi
Aplicativo desenvolvido para gestão e análise de dados do Serviço de Física Médica em Medicina Nuclear do HCPA
aws boto3 cloud-computing cloud-run docker dotenv gcp mongodb numpy os pandas plotly pymongo python s3 streamlit terraform vitrinedev yaml
Last synced: 10 Apr 2026
https://github.com/sciguymjm/introtomlmidterm2
Code for Intro to ML Midterm 2
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https://github.com/dev-mdirfan/recommendation-system-various-approaches
Recommendation System
css flask html javascript machine-learning numpy pandas
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https://github.com/kmkurn/text2array
Python library to convert text dataset into arrays.
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https://github.com/hafidaso/predicting-industrial-machine-downtime-level-3
This project aims to develop a predictive model using machine learning techniques to forecast machine failures based on historical operational data.
imbalanced-learning numpy pandas python scikit-learn seaborn xgboost
Last synced: 16 Apr 2026
https://github.com/tansudasli/tensorflow-sandbox
all about machine learning
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Last synced: 16 Apr 2026
https://github.com/sasanka14/water_quality_predictions
Water Quality Prediction - College Project 🌊💧 Predicts water potability (safe/unsafe) using ML models like XGBoost & Random Forest. Features data preprocessing, feature importance, model evaluation, and visualizations. Built with Python, Pandas, Scikit-learn & Seaborn for analysis. 🚀
anaconda jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn xgboost
Last synced: 16 Apr 2026
https://github.com/ricky1984a/customer_analytics
Customer Analytics
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Last synced: 13 Apr 2026
https://github.com/redinfinitypro/pygamecicruit
Rating: (6/10) The code combines a Pygame GUI application with a PySpice circuit simulation, providing a user-friendly interface with buttons, menu options, dropdown menus, input boxes, sliders, and text elements.
matplotlib numpy os pygame pyspice random sys
Last synced: 24 Apr 2026
https://github.com/lorenzorottigni/ml-advertising
Machine Learning python bootcamp: logistic regression on advertising dataset
ipynb logistic-regression machine-learning numpy pandas python scikit-learn seaborn
Last synced: 16 Apr 2026
https://github.com/williyam-m/movie_booking_app
A Django-based movie booking app featuring an admin dashboard with CRUD functionality for movies, theatres, screens, shows, and bookings. Includes an ML-powered movie recommendation system.
django machine-learning numpy orm pandas python sckiit-learn sqlite3
Last synced: 16 Apr 2026
https://github.com/5hraddha/sda-megaline-the-best-plan
Megaline is a telecom operator and it offers its clients two prepaid plans, Surf and Ultimate. The commercial department wants to know which of the plans brings in more revenue in order to adjust the advertising budget.
data-visualization hypothesis-testing matplotlib numpy pandas scipy seaborn statistical-data-analysis
Last synced: 16 Apr 2026
https://github.com/eljandoubi/predict-customer-churn-with-clean-code
Clean Code Principles
autopep8 logging numpy pandas pylint pytest scikit-learn
Last synced: 16 Apr 2026
https://github.com/hygull/trypandas
A repository containing Python pandas and other data science related sources and other resources used to work with pandas, numpy, matplotlib etc.
matplotlib numpy pandas python3
Last synced: 16 Apr 2026
https://github.com/hibashajahan55/python-abc-company-analysis
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Last synced: 16 Apr 2026
https://github.com/reshmaaiman/liver-patient-prediction
Liver Disease Prediction
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Last synced: 16 Apr 2026
https://github.com/aadityasikder/neural-network-from-scratch-
This notebook demonstrates a neural network implementation using NumPy, without TensorFlow or PyTorch. Trained on the MNIST dataset, it features an architecture with input layer (784 neurons), two hidden layers (132 and 40 neurons), and an output layer (10 neurons) with sigmoid activation.
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Last synced: 16 Apr 2026
https://github.com/maliksaqib786/codealpha_projectname
IRIS CLASSIFICATION | Internship Project at Code Alpha
data-science logistic-regression machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/subhadipsinha722133/credit-card-fraud-dection
Web application for detecting fraudulent credit card transactions using machine learning
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Last synced: 10 Apr 2026