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/jezbravo/lstm
Stock predictions with LSTM
jupiter-notebook keras keras-neural-networks keras-tensorflow lstm lstm-model lstm-neural-networks machine-learning matplotlib numpy pandas pandas-dataframe python scikit-learn scikitlearn-machine-learning stock-price-prediction
Last synced: 08 Apr 2026
https://github.com/dmarks84/coursework_project_ml-classifier-eval-selection
Project for University of Michigan Applied Data Science Specialization -- Predicted viewer engagement based on features related to video metrics; evaluated a large set of classifiers under different scoring metrics to select the "optimal" one.
classification cross-validation data-modeling data-reporting data-visualization databases dataframes eda grid-search matplotlib numpy pandas python scikit-learn statistics supervised-ml
Last synced: 02 Apr 2026
https://github.com/ebadshabbir/decision_tree_algorithm
Decision Tree Classifier for Social Network Ads A Python implementation of a Decision Tree Classifier to predict user purchasing behavior based on age and estimated salary. Includes feature scaling, model evaluation (confusion matrix and accuracy), and visualizations of decision boundaries for both training and test sets.
decision-tree-classifier jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/eljandoubi/smart-beta-and-portfolio-optimization
Implementation of Smart Beta and Portfolio Optimization
cvxpy numpy optimization pandas portfolio-optimization trading trading-algorithms trading-strategies
Last synced: 19 May 2026
https://github.com/addleonel/unitrevpy
This contains common conversions such as units convert of length, temperature, area, volume, time, and weight.
common-conversions numpy python3
Last synced: 05 Mar 2026
https://github.com/athiyaman-m/brain-tumor-classification-using-deep-learning
• This deep learning model is developed to classify and identify different types of brain tumors, as well as determine their existence, using Convolutional Neural Networks. This is achieved through the training and testing of 3264 MRI images.
keras numpy opencv pandas sklearn tensorflow
Last synced: 08 Apr 2026
https://github.com/fikri-rouzan/energy-consumption-prediction
Final Project for the AI/ML Weekly Class by Google Developer Group on Campus (GDGoC) UIN Jakarta.
jupyter-notebook matplotlib numpy pandas python scikit-learn scipy seaborn
Last synced: 07 Apr 2026
https://github.com/coderooz/image_classification_transfer_learning
This project involves using transfer learning to classify images into categories such as cats vs. dogs by leveraging a pre-trained model like VGG16 or ResNet. Transfer learning allows you to adapt a pre-trained model to your specific problem, making the training process faster and often more effective.
colab image-classification matplot neural-network numpy python tensorflow vgg16-model
Last synced: 20 Apr 2026
https://github.com/rajatnai49/data-science-practices
In this, I am adding all the Python exercises with the solutions related to data handling, analysis, and visualization using libraries such as NumPy, Pandas, and Matplotlib for data analysis and visualization.
jupyter-notebook matplotlib numpy pandas python
Last synced: 09 Apr 2026
https://github.com/pkx8326/blackjack-weighted-random-choices-visualization-with-numpy-and-python
This is a small project to test and visualize the result of the weighted probability capability of Python's numpy.random.choice()
blackjack blackjack-game choice jupyter-notebook numpy python random weighted-probability weighted-random
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https://github.com/jpcadena/pharmacy-prices-prediction
Prices prediction project for Pharmacy products.
artificial-intelligence data-analysis data-science deep-learning keras machine-learning machine-learning-models neural-network numpy pandas pharmacy prediction price-prediction pylint python scikit-learn supervised-learning tensorflow
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https://github.com/muhdhammad/machine-learning
Crafted for hands-on learning and implementation of ML with scikit-learn
data-science jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/msikorski93/linear-regression-from-scratch
Different solutions of linear and polynomial regression made from scratch.
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https://github.com/shweta189/sms-spam-detection
Detecting Spam SMS's messages using machine learning algorithms.Utilizing NLP techniques such as tf-idf vectorization and machine learning algorithms like naive bayes and logistic regression for classifications. Integrated with Streamlit to create an interactive web app where users can input a message and instantly check if it's spam or not.
eda machine-learning-models nltk numpy pandas plotly python seaborn streamlit
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https://github.com/shubh-bharadwaj/zomato-dataset-analysis
Zomato Dataset Analysis
data-analysis data-science data-visualization numpy pandas python sklearn
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https://github.com/jorisbertier/learnpython
Project for learn Python
beautifulsoup4 matplotlib numpy pandas python seaborn
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https://github.com/vibhore-sagar/stock-movement-analysis-based-on-social-media-sentiment
This project aims to develop a machine learning model that predicts stock movements by analyzing sentiment in social media discussions (Reddit posts).
joblib numpy pandas praw python scikit-learn textblob-sentiment-analysis yfinance
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https://github.com/mohammadshabazuddin/secure-image-classification---deep-learning-for-image-based-authentication
This project implements a CNN to classify CAPTCHA images. The code preprocesses images, applies Otsu's thresholding, and uses morphological transformations for character separation. The CNN model includes convolutional, batch normalization, dropout, and fully connected layers. Training, validation, and testing are performed on labeled datasets.
keras numpy opencv pandas pil python tensorflow
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https://github.com/manshreet27/mrs
This Movie Recommendation System is a web-based application built using Python and Streamlit, designed to provide movie recommendations based on user preferences. It utilizes TMDb API for fetching real-time movie details and Kaggle's TMDB 5000 Movies dataset for content-based filtering.
numpy pandas python scikit-learn streamlit tmdb-5000-movies-dataset-from-kaggle tmdb-api-for-fetching-real-time-movie-data
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https://github.com/tomaslopera/modelos-simulacion
jupyter-notebook matplotlib numpy pandas scipy seaborn simulation-modeling
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https://github.com/rajesh9943/web-scraping-analysis-of-top-us-company-revenue-growth-in-2023
Explore the landscape of US business growth in 2023 with our dynamic project, 'Web Scraping for US 2023 Revenue Growth.' Utilizing advanced web scraping techniques, we unveil insights into the top companies driving economic expansion.
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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.
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https://github.com/pyfig/s21_data-science-bootcamp
School21 Bootcamp Data Science
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https://github.com/vivekmodak3/multiple-disease-prediction-system--streamlit-webapp
This repository contains the codebase for "Multiple Disease Prediction Streamlit App". The training notebooks & the datasets are also provided in the respective folders.
machine-learning-algorithms numpy pandas python3 scikitlearn-machine-learning streamlit
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https://github.com/josewebdev2000/mean-variance-calculator
My Solution to the first challenge of the Data Analysis with Python certification of Freecodecamp
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https://github.com/anodicpassion/printing-accuracy-analyzer
This project provides a web-based application for analyzing the print quality of scanned documents by comparing them against a template. It identifies issues such as misalignment and blur, providing visual feedback and quantitative metrics.
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https://github.com/iankitnegi/datapy
Welcome to DATAPy! This repo contains my Python coding projects for data science, featuring data manipulation, analysis, and visualization. Stay tuned for updates and new content!
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https://github.com/ola-kaznowska/first-steps-in-numpy
My first steps in the NumPy library
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https://github.com/edegan-furb/conwaygameoflife
This project is a simulation of Conway's Game of Life using Python with the Pygame library.
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https://github.com/harmanveer-2546/wafer-fault-detection
The goal is to eliminate manual work in identifying faulty wafers. Opening and handling suspected wafers disrupts the entire process. False negatives result in wasted time, manpower, and costs.
clustering data-transformation feature-selection machine-learning matplotlib numpy pandas python random-forest roc-auc-curve roc-auc-score seaborn sklearn svc xgboost
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https://github.com/elifftosunn/textdataclean
Kirli veri çekildiğinde ön işleme adımlarına gerek kalmadan model eğitimi için hazır hale getirmek amacıyla yapılan uygulamadır.
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https://github.com/saattrupdan/neural_network
Homemade neural network from scratch in numpy.
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https://github.com/kr1shnasomani/genagenet
Gender and Age recognition from face images
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Vehicle speed detection using Computer Vision, Deep Learning and Neural Network
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https://github.com/ayushtiwari134/machine_learning_models
A repo where i upload all the models which i train during my journey of learning Machine Learning from scratch
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https://github.com/damiieibikun/data-science-capstone-project-ibm---space-x-falcon-9-landing-predictions
Applied Data Science Capstone Project for Cousera's IBM Data science professional
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https://github.com/lohiyah/real-estate-price-forecast
A Python-based app predicting real estate prices using machine learning. Built with Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn for data processing and visualization, and Flask for the web interface.
flask matplotlib numpy pandas python3 scikit-learn seaborn
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https://github.com/gauravpatil04/ml
This repo is on "Basics skills required for Machine Learning"
matplotlib numpy pandas python seaborn
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https://github.com/shankhadweep/diabetes-prediction-systemv3
This project demonstrates a machine learning solution for predicting diabetes based on user-provided health data. The application uses Streamlit for an interactive web interface and advanced interpretability tools like SHAP and permutation importance to explain model predictions.
jupyter-notebook machine-learning matplotlib numpy pandas plotly randomforestclassifier sckit-learn seaborn streamlit-webapp
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https://github.com/jt4v4res/neural-networks-and-deep-learning
Some neural networks implementation with purpose of understanding the use of this learning algorithm and deep learning.
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https://github.com/themysterysolver/python_basics
"This repo includes simple Python programs for beginners, covering various concepts, object-oriented programming, and different module usages, to help with understanding and learning Python."
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https://github.com/fjohnson87/planning-and-feasability
Data-driven feasibility analysis using pandas, seaborn, and FAO food supply data
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https://github.com/davgiles/ML-Projects
This repository contains my projects from the Data Science & Business Analytics Post-Graduate Program through UT Austin.
eda matplotlib numpy pandas python scikit-learn scipy seaborn visualization xgboost
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https://github.com/broodhoney/titanic-ml-from-disaster
This repository contains my analysis and solutions for the Titanic: Machine Learning from Disaster competition on Kaggle. The notebook explores the dataset, performs extensive Exploratory Data Analysis (EDA), applies feature engineering techniques, and builds predictive models to determine survival outcomes based on passenger data
machine-learning numpy pandas python scikit-learn scikitlearn-machine-learning
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https://github.com/makoczoro/credit-default-risk-analysis-eda
This repository contains the detailed EDA Analysis of Home Credit Group Dataset. The analysis aims to find demographic and financial factors associated with higher or lower default risks, providing actionable insights for risk mitigation and improved lending practices
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https://github.com/chaman2003/parkinson-detection
Al-powered Parkinson's Disease Detection System leveraging smartphone sensors (voice and motion) for real-time analysis. Combines ensemble machine learning models (SVM, Random Forest, Gradient Boosting, XGBoost) with advanced feature extraction to provide accurate early detection, sub-second processing, and detailed reporting.
ai flask html-css-javascript librosa ml numpy pandas pydup python scikit-learn
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https://github.com/pransu-code/marathonprediction
Case-based Time Prediction for Recreational Marathon Runners
gbm machine-learning-algorithms numpy pandas python random-forest regression-models scikit-learn seaborn sklearn
Last synced: 07 Mar 2026
https://github.com/pzuehlke/ml-with-numpy
Basic ML algorithms using only NumPy
deep-learning machinelearning numpy
Last synced: 20 May 2026
https://github.com/massimilianovisintainer/house-price-model-prediction
House price prediction model using XGBoost.
machine-learning models numpy pandas python sklearn xgboost xgboost-regression
Last synced: 20 Jan 2026
https://github.com/redinfinitypro/circuitpythonprojects
Rating: (4/10) This Python script simulates circuits using PySpice, importing libraries like NumPy and Matplotlib. It defines voltage divider, diode circuits, subcircuit definitions, DC sweep analysis, and simulates each circuit using the simulator.
matplotlib numpy os pyspice sys
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https://github.com/atharvkadammm/suicide-prediction-system
A machine learning project predicting suicide risk based on multiple socio-economic and environmental factors using data mining techniques.
csv data-analysis data-science data-visualization datamining exploratory-data-analysis feature-engineering machine-learnin matplotlib mental-health numpy pandas riskassesment seaborn sklearn suicide-prediction supervised-
Last synced: 01 Jul 2025
https://github.com/viivianreine/carbon-footprint-calculator-using-advanced-machine-learning-cnn-
🌍 An AI-powered Carbon Footprint Calculator built with Python, TensorFlow (CNNs), and Streamlit. Delivers real-time emission predictions, visual insights, and country-wise comparisons from user lifestyle data. Adaptive, scalable, and designed to drive sustainability through intelligent software solutions.
api-based-ai-integration cloud-ready convolutional-neural-networks data-featuring data-preprocessing ipcc keras keras-tensorflow matplotlib model-optimization numpy pandas python realtime-database seaborn streamlit streamlit-deployment streamlit-webapp supervised-machine-learning tensorflow
Last synced: 08 Apr 2026
https://github.com/rahulraimau/credit-card-fraud-detection
This project develops a real-time credit card fraud detection system using the Kaggle Credit Card Fraud Detection Dataset, containing 284,807 transactions with 31 features (Time, Amount, V1-V28, Class).
imbalanced-learn- matplotlib numpy pandas python pytorch scikit-learn- tensorflow
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https://github.com/csengupta1101/python-concepts
All basic to advanced Python Concepts Will be covered here in depth.
data-science django dsa-algorithm flask machine-learning numpy pandas python rest-api software-development
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https://github.com/udayraj04/facialemotion_musicrecommendations
A web application that detects facial emotions via webcam and recommends music tracks that match the user’s mood in real-time. Built with Flask, TensorFlow/Keras, OpenCV, and a React frontend.
cnn flask machine-learning numpy opencv pil reactjs tensorflow
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https://github.com/atharvkadammm/calmlytic
An end-to-end machine learning project that predicts anxiety severity using classification models (Naive Bayes, Decision Tree, SVM, Logistic Regression, XGBoost), based on lifestyle, health, and behavioral features.
anxiety-prediction classification csv data-analysis data-preprocessing-and-cleaning data-science data-visualization ensemble-learning logistic-regression machine-learning-algorithms matplotlib mental-health numpy pandas python sci-kit-learn seaborn supervised-learning svm xgboost
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https://github.com/sridharyadav07/ai--powered-task-management-system
An intelligent Task Management System that integrates Sentiment Analysis, Task Optimization, and Forecasting to streamline project and task handling. This AI-powered tool is designed to assist teams and project managers in making data-driven decisions by understanding emotional context, forecasting productivity, and optimizing workload distribution
arima flask joblib jupyter-notebook naive-bayes-classifier nltk numpy pandas pickle-file python randomforestregressor scikit-learn stopwords-removal streamlit tfidf-vectorizer
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https://github.com/pramodyasahan/house-price-prediction
This repository contains the code for a machine learning model aimed at predicting housing prices. The model is based on the RandomForestRegressor algorithm from the scikit-learn library and utilizes feature selection, preprocessing, and pipeline techniques for improved performance.
machine-learning numpy pandas python scikit-learn
Last synced: 08 Apr 2026
https://github.com/s-h-i-v-i-s/bangalore-housing-price-prediction
A Machine Learning Project to predict Bangalore House Prices.
jupyter-notebook machine-learning matplotlib numpy pandas python pythonflask sklearn
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https://github.com/rdmolony/nix-numpy-financial
A nix derivation for numpy-financial - https://pypi.org/project/numpy-financial/#files
Last synced: 05 Mar 2025
https://github.com/ayushhhh123/diwali_sales_analysis
This project provides a comprehensive analysis of Diwali sales data using Python. The primary goal is to derive business insights from customer purchasing behavior during the Diwali festival season. This analysis can help improve marketing strategies, customer targeting, and overall sales performance.
matplotlib numpy pandas python seaborn
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https://github.com/trivediayush/python-bootcamp
This repository contains code, notes, and examples from my journey learning Python and its essential libraries.
flask matplotlib numpy pandas python python3 pythonbootcamp
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https://github.com/annygutierrez/data-preprocessing
Preprocessing deep learning template.
matplotlib numpy pandas sklearn
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https://github.com/ramankishore08/sales-data-analytics
Sales data analysis using Python and Power BI
datacleaning datavisualization exploratory-data-analysis linear-regression numpy pandas python seaborn
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https://github.com/jpcadena/malware-analysis
Analysis of malware signatures and their associated Common Vulnerabilities and Exposures (CVEs)
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https://github.com/pedronjorge/average-face-python
Generate an average face from a given set of images by detecting facial landmarks, aligning features, and blending the images using Delaunay Triangulation. Libraries used: Dlib, OpenCV, NumPy
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Treinamento Para Análise de Dados.
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https://github.com/harrisonwelch/pythondatascience
Repo of code from the linked-in lesson "Python: Data Analysis"
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https://github.com/vlad1343/tools
This repository demonstrates the acquisition of advanced Python programming skills through structured exercises and projects, with a strong emphasis on NumPy for array manipulation, slicing, masking, and reshaping
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https://github.com/akhileshthite/india-population
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https://github.com/okoge-kaz/deep_learning
O'REILY ゼロから作るDeep Learning
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https://github.com/thekartikeyamishra/aipoweredmarketingassistant
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https://github.com/sumaiyyaf/spotify-data-analysis
This project explores Spotify music data, using Python to clean, analyze, and visualize the dataset. It examines the relationship between audio features and sentiment in song lyrics, uncovering patterns and trends to provide valuable insights into music preferences.
Last synced: 08 May 2026
https://github.com/brenofariasdasilva/dagster-heart-disease-risk
Dagster Heart Disease Risk Model.
dagster heart-disease jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/pythoncoderunicorn/linear-algebra-python
Linear Algebra in Python
Last synced: 07 Apr 2026
https://github.com/RedInfinityPro/RedditBot
Rating: (7/10) This script collects, preprocesses, trains models, processes images, and handles files, handling data from Reddit, image processing, and file handling.
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https://github.com/gospacedev/exoseeker
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🤖Common ML implementations from scratch.
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https://github.com/dmarks84/coursework_capstone_spacex_predictions
Final Project for IBM Data Science Professional Certificate -- Applied all skills and methods utilized in the series of courses for this certification to predict the success of SpaceX landings; issued full report to stakeholders
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https://github.com/01one/python-online-with-pyodide
Run and edit python code including matplotlib and numpy on the browser with pyodide and codemirror
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https://github.com/carinquantifiable119/data-science-handbook
📝 Explore Jupyter notebooks and reusable code to master data science workflows and enhance your skills effectively.
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https://github.com/chinmayee4/diwali_sales_analysis_using_python
Analyze Diwali Sales Data to improve customer experience and sales.
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https://github.com/marferdom/codenotes
Notes while learning to code in python
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https://github.com/michaeldehaney94/opencv
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https://github.com/abrahamkoloboe27/fruits-recognition-streamlit-app
🍎 Fruits Classification App (Streamlit) 🍌
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