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: 2026-02-06 00:23:20 UTC
- JSON Representation
https://github.com/kr1shnasomani/facefeel
Facial emotion recognition and detection using CNN
computer-vision deep-learning keras matplotlib neural-network numpy opencv pandas seaborn tensorflow
Last synced: 09 Apr 2025
https://github.com/ricky1984a/customer_analytics
Customer Analytics
kneed machine-learning matplotlib-pyplot numpy pandas python scipy seaborn sklearn
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https://github.com/altaris/turbo-broccoli
JSON (de)serialization extensions
bokeh json keras numpy pandas pytorch serialization sklearn tensorflow
Last synced: 04 Jan 2026
https://github.com/manik2000/ml-algorithms
Numpy based own implementations of some of ML algorithms.
machine-learning-algorithms numpy own-implementation
Last synced: 25 Mar 2025
https://github.com/noluyorabi/bravais-pearson-interactive
Bravais-Pearson Interactive – A web app for visualizing Pearson correlation. Generate datasets, analyze correlations, and explore regression lines, r², and p-values interactively.
data-visualization interactive-analysis matplotlib numpy pearson-correlation scipy seaborn statistics streamlit
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https://github.com/05afreen/indian-job-market-analysis
This repository focuses on 🔍 scraping, 🧹 cleaning, and 📊 visualizing job market data in India. It automates job listing collection from platforms like 🌐 Naukri, Indeed, and LinkedIn using 🐍 BeautifulSoup/Selenium. The scraped data is then 🛠️ cleaned and standardized, handling ❌ missing values, 🏷️ formatting inconsistencies, and 🔎 extracting
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https://github.com/mayankmittal29/tensortinker_statistical_methods_in_ai
This repository contains implementations of various machine learning algorithms from scratch, including Multi-Layer Perceptron (MLP), Gaussian Mixture Models (GMM), Principal Component Analysis (PCA), Autoencoders, and Variational Autoencoders.
autoencoder-mnist cupy gmm-clustering image-segmentation matplotlib-pyplot mlp-classifier mlp-regressor mnist-dataset numpy pandas pca python3 pytorch roc-auc seaborn torch variational-autoencoder
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https://github.com/batthulavinay/football-match-data-analysis
This project focuses on analyzing football match data to uncover insights, trends, and performance metrics. The analysis is conducted using Python in a Jupyter Notebook environment.
datacleaning datavisualization exploratory-data-analysis jupyter-notebook matplolib numpy pandas seaborn
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https://github.com/batthulavinay/ev-population
This repository contains a Jupyter Notebook focused on analyzing Electric Vehicle (EV) population data. The notebook includes data visualizations, exploratory analysis, and key insights.
data-science datacleaning datapreprocessing datavisualization jupyter-notebook matplotlib numpy pandas seaborn
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https://github.com/batthulavinay/genz_datingapp-eda-and-ml
This project focuses on analyzing data from a GenZ Dating App to uncover insights, trends, and predictive models. The analysis is conducted using Python in a Jupyter Notebook environment.
classification datacleaning datapreprocessing datavisualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas regression-models scikit-learn seaborn
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https://github.com/alekiie/streamlit-dashboard
A dashboard that utilizes the power of streamlit charts to create intuitive and easy to understand charts for data visualization.
data-visualization matplotlib numpy pandas python3 streamlit
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https://github.com/rafali25/perceptron-algorithm
A simple implementation of the Perceptron algorithm using numpy. This project demonstrates how to classify data points by iteratively updating weights and biases based on misclassified samples. Perfect for understanding the fundamentals of linear classification!
machine-learning numpy perceptron-neural-networks pycharm-ide python
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https://github.com/moonmoonsamal/data-driven-google-ads-for-listing-sites-analysis
Analyzed Google Ads performance to identify top channels, keywords, and geographical impact
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https://github.com/jkosla/neural_network_from_scratch_numpy
Neural Network From Scratch in Python | Build a simple neural network from scratch using pure Python and NumPy. Learn about forward propagation, backpropagation, and training with gradient descent. Accompanies my Medium article.
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https://github.com/aleksandarbuk/machine-learning
The Machine Learning Library repository provides a collection of scripts and tools leveraging Scikit-Learn, Pandas, and NumPy for various machine learning tasks and data analysis.
matplotlib numpy python scikit-learn tensorflow
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https://github.com/bunu23/image-classification
This repository contains a notebook implementing a Convolutional Neural Network for multi-class image classification using transfer learning with a pre-trained ResNet-50 model. Covers dataset handling, model architecture customization, training, evaluation, fine-tuning, and external image prediction.
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https://github.com/pinedah/sleep-data-analysis-exercise
Análisis de un dataset médico sobre el sueño, explorando duración, calidad y factores relacionados. Incluye limpieza de datos, EDA y visualizaciones con Python (pandas, numpy, matplotlib, seaborn, scipy).
data-analysis data-science escom numpy pandas python school-project scipy
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https://github.com/nirmaldeepponnada/codeclauseinternshipproject1
This project involves Customer Segmentation using K-Means clustering to group customers based on Recency, Frequency, and Monetary (RFM) analysis from the Online Retail dataset. It also performs Sentiment Analysis on Amazon Product Reviews using Natural Language Processing techniques & Logistic Regression to classify reviews as positive or negative.
kmeans logistic-regression numpy pandas python3 regular-expressions scikit-learn tf-idf-vectorizer
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https://github.com/arjunan-k/netflix_analysis
Exploratory Data Analysis on Netflix Movies & TV Shows.
matplotlib numpy pandas plotly seaborn
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https://github.com/mosalem149/data-mining-assignments
That repo for data mining quizzes and tasks.
anaconda data-mining dataframe jupyter-notebook matplotlib mlxtend numpy pandas python quizzes scikit-learn seaborn tasks
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An oscilloscope that makes listening waveform more fun
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https://github.com/rakesh3596/tutedude_projects
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csv-files matplotlib numpy pandas plotly python sklearn-library
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https://github.com/waghraj1699/codeclauseinternship_crop_disease_identification
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Shock tube experiment planning and data analysis package.
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https://github.com/yevhenbk/arc-length-calculator
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https://github.com/montanaz0r/suicide-rate-analysis
Testing a significance of the correlation between a suicide rate and a number of psychiatrists and psychologists working in the mental health sector
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https://github.com/dineshdhamodharan24/singapore_flat_resale_
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https://github.com/andres29ac/website_heatmaprisk
Mapa hecho con Streamlit y Folium para mostrar la distribución delictiva de cada distrito de Trujillo mediante Mapas de Calor.
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https://github.com/alejoduarte23/bs6472
Serviceability assessment as per BS 6472 for human exposure to vibration in buildings Vibration sources other than blasting
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https://github.com/eljandoubi/building-a-reproducible-model-workflow
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https://github.com/mohamed15058/amazon-sales
amazon-sales
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https://github.com/reckonsys/datascience-docker
A docker image with numpy, scipy, nltk and pandas pre-installed with pip
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Python Data Analysis
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https://github.com/szymon-budziak/fundamentals_of_deep_learning
Fundamentals of Deep Learning NVIDIA course.
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https://github.com/tim-w-james/python-data-reference-code
Python reference code for data visualization, machine learning and SQL
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https://github.com/yesenvidnath/facerecognito-pythonfacialrecognitionapplication
this is a web application created to detect faces using a pre-given image links through Excel format, this project uses Pytorch & Flask
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https://github.com/skywalkerSam/Python-101
Introduction to Python 3
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https://github.com/yash22222/analysis-of-amcat-aspiring-minds
Analyzing employment outcomes for engineering graduates based on a provided dataset. Specifically, it aims to verify a claim regarding the salary range for fresh graduates in certain engineering roles and investigate potential relationships between gender and specialization preferences.
amcat aspiring-minds charts computer-engineering data-analytics data-vizualisation dataset graph machine-learning matplotlib numpy pandas python seaborn
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https://github.com/shekharkram/project
A collection of data analytics projects showcasing skills in data cleaning, exploration, visualization, and basic SQL queries. Designed to demonstrate entry-level data analyst competencies using real-world datasets and tools.
datacleaning excel jupyter-notebook mysql numpy pandas postgresql python sql
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https://github.com/celalaygar/python-experiences
How to use numpy, map, response, opencv, pandas on python 3+. There is a lot of simple project for everybody to understant how to use python.
cv2 numpy opencv pandas pandas-dataframe python response
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https://github.com/soumyapro/heart-disease-prediction
This project is aimed at predicting the likelihood of coronary heart disease (CHD) in individuals over the next ten years using Logistic Regression.
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https://github.com/saurabh9136/data-analysis_using_pandas-numpy
A beginner-friendly repository exploring data analysis using NumPy and Pandas. Covers fundamental operations, data manipulation, and real-world dataset analysis.
data-analysis-python numpy pandas python scipy
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https://github.com/nakshjainsonigara/football-eda
This EDA offers a comprehensive exploration of football analytics, leveraging Python libraries to analyze players, club games, and various other aspects of the sport. Through statistical analysis and visualization, we uncover insights into player performance, club strategies, and league dynamics providing valuable insights for football enthusiasts.
dash exploratory-data-analysis matplotlib numpy pandas plotly python scipy seaborn statistics
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https://github.com/manorohith-03/attendance-system-using-face-recognition
The system leverages the Python programming language and several powerful libraries for image processing and face recognition. The ultimate goal is to provide a more efficient, accurate, and user-friendly attendance tracking solution.
face-recognition numpy opencv pandas python-3
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https://github.com/ieCecchetti/Python_ML_DL_examples
A variety of Machine Learning and Deep Learning scripts in Python. Included some theorical info about that in the Readme
bayes-classifier bayesian-statistics deep-learning kernel machine-learning matplotlib neural-network numpy pandas pca pca-analysis python scikitlearn-machine-learning scipy shi
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https://github.com/satyamvyas04/masteringpython
MasteringPython features programs that reflect my growing proficiency and ongoing journey with the Python programming language.
jupyter-notebook machine-learning ml numpy openpyxl python3 tkinter
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https://github.com/hari7261/playwithdata-python
This is one of the repository where I have put lot of data science and machine learning related questions on their solutions I hope you will find something better than some other platforms. Thank you Happy exploring
data-analysis data-science data-science-learning machienlearning matplotlib matplotlib-python ml numpy numpy-arrays numpy-library pandas pandas-dataframe pandas-library python python-script sklearn
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https://github.com/adarshpheonix2810/fake-job-post-detection
This project focuses on detecting fake job posts using machine learning. Fake job advertisements are often created to scam individuals by stealing personal information or money.
data-analysis deep-learning joblib machine-learning nlp-machine-learning numpy pandas python scikit-learn tkinter
Last synced: 31 Dec 2025
https://github.com/sultanazhari/customer-habit-analysis-model
Megaline company wants to develop a model that can analyze consumer behavior and recommend one of Megaline's two new plans: Smart or Ultra. In this classification task, we need to develop a model that is able to choose the right package
accuracy-score decision-tree-classifier logistic-regression matplotlib-pyplot numpy pandas python3 random-forest-classifier seaborn train-test-using-sklearn
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https://github.com/sa001gar/password-manager-on-the-top-of-streamlit
Secure Password Manager is a Python-based application developed by Sagar Kundu, designed to provide users with a secure and convenient way to manage their passwords. With features like user authentication, password generation, and secure storage using bcrypt and MongoDB, it ensures the safety of sensitive information while offering an intuitive use
bcrypt gui-application mongodb numpy numpy-library pandas-dataframe pandas-library pandas-python password-generator password-manager pymongo python python3 streamlit-application streamlit-webapp urllib
Last synced: 01 Apr 2025
https://github.com/haimgoldfisher/data_visualization_final_project
Final project of the Data Visualization course, Ariel university.
adaboost bayesian-learning catboost ensemble-learning gradient-boosting gridsearchcv matplotlib numpy pandas plotly seaborn semi-supervised-learning voting-classifier
Last synced: 28 Feb 2025
https://github.com/sanjanahombal/study-on-sentiment-analysis
This project explores the optimal combination of Bag-of-Words and TF-IDF vectorization with Naive Bayes and SVM for sentiment analysis. It evaluates performance using accuracy, precision, recall, and F1-score, addressing ethical concerns like data privacy and bias to improve sentiment classification in real-world applications.
bag-of-words confusionmatrix googlecollab gridsearch-crossvalidation matplotlib-pyplot naive-bayes-classifier numpy pandas seaborn sklearn svm-classifier tfidf-vectorizer
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https://github.com/rakesh3596/apple-phone-sales-analysis
Apple Phone Sales Analysis using Python tools like Pandas, Matplotlib, Numpy, Plotly, Apple csv file
csv-files csv-reader matplotlib numpy pandas plotly python
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https://github.com/rosacarla/projetodio_covid19
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etl machine-learning numpy pandas python
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https://github.com/manishkumarpatel07/heartattack_risk_prediction
"Heart Attack Risk Prediction" uses machine learning to estimate the likelihood of a heart attack based on user-provided data like physical attributes, symptoms, and medical history. This system enables remote screening, identifying high-risk individuals, and easing medical system burdens by providing early, data-driven health risk assessments.
boruta knn-algorithm matplotlib numpy pandas python scikit-learn
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https://github.com/omogbolahan94/lego-analysis
Analysis of LEGO data from 1949 to 2021.
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https://github.com/bbergerud/tenops
Creating a common interface for numpy, pytorch, tensorflow, etc.
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https://github.com/samaalharbi2/100-days-of-code
This repository is a collection of 100 Python projects built as part of the "100 Days of Code: Python Developer Challenge" course.
data-science game-development machine-learning numpy pandas python udemy
Last synced: 05 Apr 2025
https://github.com/eesunmoon/genai_cor-recom
[Project] Outfit Coordination Recommender System using KoAlpaca
data-analysis fine-tuning generative-ai huggingface keyword llm numpy pandas python python3 selenium
Last synced: 30 Dec 2025
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: 13 Mar 2025
https://github.com/linggarm/poultry-meat-freshness-classification-with-transfer-learning-using-resnet
The utilization of the ResNet architecture and Transfer Learning methods to classify Poultry Meat Freshness images into two categories, namely Fresh and Rotten.
artificial-intelligence binary-classification cnn colab-notebooks computer-vision deep-learning fine-tuning imagenet machine-learning meat-classification numpy pandas poultry python residual-networks resnet scikit-learn supervised-learning tensorflow transfer-learning
Last synced: 26 Feb 2025
https://github.com/theoldvalyria/analysis_of_orders
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jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/hi-shekhar/data_science
Data science
algorithm-comparison decision-trees keras kmeans linear-regression logistic-regression numpy pandas python sentiment-analysis svm time-series visualization webcrawler
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https://github.com/sejalmankar1012/customer_churn
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https://github.com/mairagalvao/steak_risk_data
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https://github.com/chenshuliu/python-guide-to-numpy
This repository is dedicated to explaining the functionalities of Numpy in Python
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https://github.com/arv-anshul/campusx-graphs
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https://github.com/supriya811106/twitter-sentiment-analysis
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https://github.com/22p31a0512/sentimental-analysis
Build a model to classify text as positive, negative, or neutral. Apply NLP techniques for preprocessing and machine learning for classification. Aim for accurate sentiment prediction on various text formats.
feature-engineering machine-learning natural-language-processing numpy pandas python supervised-learning text-classification text-processing tokenization
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https://github.com/matteopolak/chatterbox
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Ingest and vectorize content upon publication, store embedding, then retrieve and augment user queries with context to generate high-quality responses.
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https://github.com/mr-chang95/twitter_datawrangling
Twitter Data Wrangling for Udacity's Data Analyst Nanodegree Program
data-visualization data-wrangling dogs matplotlib numpy pandas python twitter
Last synced: 30 Dec 2025
https://github.com/mr-chang95/datascience_airbnb
Data Science Project for Udacity's Data Scientist Program. Using Python in Jupyter Notebook.
airbnb data-analysis data-science data-visualization jupyter-notebook numpy pandas python sklearn
Last synced: 30 Dec 2025
https://github.com/udhaya2823/dataspark-illuminating-insights-for-global-electronics
✨DataSpark✨ is a powerful analytics project transforming raw retail data into actionable insights for Global Electronics. By leveraging Python, SQL, and interactive visualizations, it uncovers trends in customer behavior, sales performance, and product popularity, driving smarter business decisions and boosting growth.
data-science data-visualization database-management datacleaning exploratory-data-analysis matplotlib numpy pandas powerbi python seaborn sql version-control
Last synced: 17 Jul 2025
https://github.com/Mike014/SoundBot
This Repository will contain the prototype of a ChatBot created for the playback of audio, or everything related to audio in the world of video games and not.
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Last synced: 12 Sep 2025
https://github.com/mchenryspagg/economic-variable-correlation-and-productivity-model
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Last synced: 10 Sep 2025
https://github.com/mihirh19/uber-analysis
Uber's 2016 dataset analysis offers insightful information about the company's operations and user behaviour. Patterns and trends can be discovered by looking at variables like trip time, distance travelled, and pickup/drop-off locations. Uber may use this information to detect high-demand locations, increase overall efficiency, and optimise driver
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all about machine learning
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https://github.com/mariam-zaidi/bike-sharing-prediction-model
Build a multiple linear regression model for the prediction of demand for shared bikes.
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Last synced: 24 Aug 2025
https://github.com/chandkund/predicting-heart-disease
Welcome to the Heart Disease Prediction project! 🩺 This project focuses on developing a predictive model to assess heart disease risk based on health indicators like age, cholesterol levels, and blood pressure. By analyzing these features, we aim to create an effective tool for early diagnosis and heart disease prevention
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https://github.com/djdhairya/fish-species-detection-and-recognition
Dataset
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