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: 2026-07-02 00:21:34 UTC
- JSON Representation
https://github.com/samir-atra/cancerdetector
The final project of AI50xIraq course is found in the commit on 21-3-2023
cancer-detection cnn dataset inceptionv3 matplotlib numpy opencv tensorboard tensorflow tensorflow-tutorials transfer-learning
Last synced: 11 Feb 2026
https://github.com/omdoshi13/pricing-of-laptops-using-ml
Data Analysis, training Machine Learning models, and Model Evaluation and Refinement for Pricing of Laptops dataset.
data-analysis data-analysis-project datascience google-colab jupyter-notebook machine-learning matplotlib model-evaluation model-refinement numpy pandas python scikit-learn
Last synced: 09 Apr 2026
https://github.com/sebastianofazzino/ibm-data-science-professional-certificate
In this repository I've stored exercises and projects I've been working on while attending IBM Data Science Professional Certificate, using Python and its libraries.
data-analysis data-mining data-science data-structures data-visualization database machine-learning matplotlib numpy pandas python regression seaborn sql
Last synced: 09 Apr 2026
https://github.com/harmanveer-2546/diagnosis-of-pneumonia-by-cnn-classifier
The primary objective s to develop an accurate and efficient classification model capable of identifying pneumonia cases in patients based on chest X-ray images. Pneumonia is a prevalent and potentially life-threatening respiratory infection. Early detection plays a critical role in timely intervention and effective treatment.
binary-accuracy dropout flatten keras loadimg matplotlib maxpooling2d numpy python regularizers roc-curve seaborn sequential-models tensorflow vgg16
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https://github.com/harmanveer-2546/sentiment-analysis-of-amazon-fine-food
For this project, machine learning algorithms are used on amazon fine food reviews dataset to analyze if the given review is a positive review or a negative review.
mathplotlib nlp-machine-learning ntlk numpy pandas pipeline python roberta-model seaborn transformer vader-sentiment-analysis
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https://github.com/valmir-unicap/inteligencia-artificial
Disciplina de Inteligência Artificial
linear-regression logistic-regression matplotlib numpy pandas python tensorflow
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https://github.com/v41bh4vr4jput/data-analysis-with-python
This repository is a comprehensive collection of data analysis projects and tutorials using Python's most powerful libraries: NumPy, Pandas, Seaborn, and Matplotlib. It is designed to help you explore, clean, visualize, and analyze data efficiently.
api data data-analysis data-visualization matplotlib numpy pandas python sakila-db seaborn
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https://github.com/debjyotisaha/data-analytics-projects-phase-2
Developed and showcased various data analytics projects, including data preprocessing, exploratory data analysis, and visualization. Utilized tools such as Python, Pandas, NumPy, and Matplotlib to derive actionable insights and demonstrate problem-solving capabilities.
data-analysis data-preprocessing eda matplotlib numpy pandas python seaborn
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https://github.com/mchenryspagg/wrangle-and-analyze-data
This project which is known as 'wrangle and analyze data' involves the wrangling of WeRateDogs twitter archive data from the period of 2015 to 2017
api data dataanalysis datacollection datawrangling datetime json numpy os pandas pil python requests tweepy-api visualization
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https://github.com/prashhhant213/exploratory-data-analysis-for-multinational-retail-corporation
Analysis via CLT and Visualization on Multinational Retail Corporation's data to provide insights and recommendations to improve their userbase.
math matplotlib numpy pandas python scipy-stats seaborn stats
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https://github.com/lmizner/codecademy_life_expectancy
Calculate quartiles, quantiles, and the inter-quartile range (IQR) for a variable
histogram jupyter-notebook matplotlib-pyplot numpy pandas python quantiles quartiles
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Demonstrate data cleaning skills
for-loops glob histogram jupyter-notebook lists matplotlib-pyplot numpy pandas python scatterplot
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3d graph matplotlib numpy pandas python stem web
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work on different Algorithm and technique for preproccesing Data
binarization cleandata dataframe drop missing-data normalization numpy pandas standardization train-test-split
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data-science numpy pandas python
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https://github.com/ashithapallath/image-processing
The Image Processing Lab repository showcases a variety of image processing techniques using Python. It covers essential concepts such as image manipulation (resizing, cropping), enhancement (adjusting brightness/contrast), analysis (edge detection, contours), color space conversions, and noise reduction.
color-space-conversion image-analysis image-enhancement image-manipulation image-processing noise-reduction numpy opencv python
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https://github.com/anusthan12/hrc-training-summer
HRC Summer Intership
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https://github.com/samanthalang/samanthalang_portfolio
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bigquery excel figma mysql notebook numpy pandas postgresql powerbi powerquery python sql sqlite wordpress
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https://github.com/jcm-ai/Robust-MLOps-Elevating-Machine-Learning-to-Production-Scale
This project aims to address the challenge faced by the Office of Foreign Labor Certification in managing a high volume of job certification applications for employers seeking to hire foreign workers in the United States. By leveraging ML models, this project seeks to streamline the process of shortlisting visa applicants based on historical data.
aws-ec2 aws-ecr aws-s3 cicd-pipeline data-science docker-image end-to-end exploratory-data-analysis git github-actions html machine-learning-models mlops mlops-project model-deployment mongodb numpy pandas python yaml
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https://github.com/pem-humboldt/wiutils
Exploration utilities for Wildlife Insights projects.
biodiversity camera-trap images matplotlib numpy pandas python seaborn trail-cameras wildlife-insights
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https://github.com/towaquimbayo/comp-3948
BCIT Computer Systems Technology (CST) - COMP 3948 (Predictive Modelling)
classification matplotlib numpy pandas prediction-model predictive-analytics predictive-modeling python regression scikit-learn scipy sklearn statsmodels
Last synced: 09 Apr 2026
https://github.com/ars-sg/python_projects
A collection of diverse Python projects. Each project is meant to highlight different aspects of Python, from data analysis and web development to automation and machine learning. Feel free to explore the code, contribute, or reach out if you have any questions or collaboration ideas!
machine-learning matplotlib numpy pandas python seaborn streamlit
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https://github.com/deepcloudlabs/ain2002-2024.2025-introduction.to.data.science
AIN2002: Introduction to Data Science
numpy pandas python r scikit scikit-learn
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https://github.com/abdulhadi806/muffin-or-cupcake-model
𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 model that is capable of checking whether the model I inputted is a mufin or cupcake, I am in a learning face today is 1/25/2024 let's see how far I can go in this field. Wish me luck:)
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Python Data Analysis
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https://github.com/aaaastark/web_scraping
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beautifulsoup csv matplotlib news numpy pandas pyhton python3 request requests scraper scraping web-scraping webscraping
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https://github.com/aravinda-1402/covid-detection-model-using-chest-x-ray
The objective of this project is to develop a Deep Learning Model to identify the X-Rays of healthy vs. Pneumonia (Corona) afflicted patients using the Chest X-Ray dataset, and use this model to power the AI application to test the Corona Virus in a faster phase.
classification cnn covid flask keras numpy pandas tensorflow
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A sentimental analysis on movie Black Adam
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This project is a Flask-based platform for patients, donors, and doctors, integrating hospital management in one solution. It uses Machine Learning models for predictive health analysis and Power BI for interactive dashboards. Through this project, I enhanced my skills in full-stack development, applied ML, and healthcare data solutions.
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https://github.com/jalijuhola/amazon-textual-reviews-recommender-
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https://github.com/ananupam/eda-stock_market
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https://github.com/jadelhelm/100-days-of-code-python
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100daysofcode 100daysofpython bootstrap bootstrap5 css css3 flask html matplotlib numpy pandas plotly python rest-api scikit-learn selenium-webdriver sqlite tkinter turtle
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https://github.com/1ayanabil1/100-days-of-python-bootcamp
Join me on my journey to code in Python every day for 100 days! 🐍 This challenge is designed to sharpen my programming skills, explore Python libraries, and build cool projects along the way.
data-structures data-structures-and-algorithms data-visualization django flask machine-learning matplotlib numpy pandas python seaborn web-development
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css data-analysis html javascript matplotlib numpy pandas python seaborn tableau
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https://github.com/sk-g/mnist_beginners
Model search in traditional machine learning algorithms (non DL) and DL starter codes on MNIST dataset. This is a good starter code for beginners trying to learn about curse of dimensionality, overfitting and other concepts in general
keras machine-learning machine-learning-algorithms mnist mnist-beginners mnist-classification mnist-dataset numpy overfitting python pytorch pytorch-implmention resnet resnet-50 scikit-learn scikitlearn-machine-learning sklearn tensorflow
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data-science imblearn joblib machine-learning matplotlib modelos-preditivos numpy pandas python scipy seaborn sklearn statsmodels xgboost
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https://github.com/faisal-khann/banking_portfolio_risk_analysis
This analysis explores the banking customer dataset to uncover key patterns in account holdings, loan portfolios, income profiles, and transactional behavior. By integrating both financial and demographic variables, we examine customer engagement, lending trends, and risk exposure across different segments.
data-manipulation eda matplotlib numpy pandas powerbi python seaborn
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https://github.com/kasraskari/learn-python-codes
A beginner-friendly repository to learn Python programming through structured examples and scripts, covering topics from basics to advanced concepts.
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Last synced: 09 Apr 2026
https://github.com/magzybog12/real-time-object-distance-measurement-using-opencv-python
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numpy opencv-python pycharm-ide
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https://github.com/nazmul-1117/100-days-of-machine-learning
I'm Nazmul so exited to start a new journey to learn 100 Days of Machine Learning. It's February 8, 2025. I'm so exited, let's see what happened insha'Allah
data-science machine-learning numpy pandas-dataframe python3 scikit-learn statistics
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https://github.com/prath0m/python-numpy
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machine-learning numpy python python3
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https://github.com/mariam-zaidi/lead_scoring_case_study
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logistic-regression matplotlib numpy pandas seaborn sklearn
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colab-notebook cv2 matplotlib ml numpy python scikit-learn
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https://github.com/yash-3-bit/human-activity-recognition-using-smartphone-data
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numpy pandas python scikitlearn-machine-learning seaborn
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https://github.com/ashish-kr-srivastava/olympic-games-eda---python
About Exploratory Data Analysis of a Historical Olympic Games Dataset, including all the games from Athens 1896 to Rio 2016.
data-visualization datacleaning eda matpotlib numpy pandas python seaborn seaborn-python
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https://github.com/adityabadgotiya/facial-recognition-attendance-system
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hashlib numpy opencv pandas pillow python sha-256-hash smtplib tkinter-gui
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https://github.com/mdarshad1000/ml-libraries
Code for the scientific and visualization libraries in Python for Machine Learning.
matplotlib numpy pandas seaborn
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https://github.com/vedanty3/bulldozer-price-prediction
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andrew-ng-machine-learning ensemble-machine-learning gridsearchcv jupyter-notebook machine-learning matplotlib numpy pandas python randomforestregressor randomizedsearchcv scikit-learn ztm
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https://github.com/chirindaopensource/non_linear_forecasting_backcasting
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bootstrap bubble-analysis financial-modeling forecasting jupyter-notebook monte-carlo nonlinear-modeling numpy pandas python quantitative-finance research-implementation risk-management scipy statistical-modeling time-series uncertainty-quantification var-models
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data-science library machine-learning numpy numpy-arrays numpy-library numpy-python outlier outlier-detection python pythonlibrarires tutorial
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https://github.com/jpcadena/palmer-penguins
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covid-19 data-analysis data-visualization jupyter-notebook matplotlib numpy pandas plotly python seaborn vaccination
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Last synced: 26 Jan 2026
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Last synced: 18 Nov 2025
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https://github.com/jpgiant/nyc_energy_prediction
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https://github.com/lohiyah/real-estate-price-forecast
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https://github.com/dragonscypher/sustaining-balance
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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.
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https://github.com/thinker84/real-time-stock-price-prediction-and-market-analysis-using-machine-learning
Real-time stock price prediction app using LSTM, Streamlit, and historical data (2010–2023). Forecasts next 10 days & visualizes trends.
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https://github.com/arrnikhilchauhan/book-recommendation
This Book Recommendation System is designed to provide personalized book suggestions based on user ratings and interaction. By leveraging the power of Pandas and NumPy, it filters and processes data efficiently, ensuring that recommendations are relevant and tailored to the user’s preferences
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https://github.com/klihe/astar-visualization
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https://github.com/soumyapro/hand-tracking-volume-controller
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https://github.com/l-gre/tradefx-ai
A Python-based project exploring algorithmic trading strategies, including backtesting, real-time data integration, and predictive modelling with TensorFlow and Keras. Key topics include technical indicators, risk management, and leveraging AWS and broker APIs for automated trading
algorithmic-trading aws backtesting broker-api keras machine-learning matplotlib numpy pandas portfolio-optimisation python real-time-data-integration risk-management technical-indicators tensorflow
Last synced: 12 Apr 2026
https://github.com/lorenzorottigni/ml-titanic
Machine Learning python bootcamp: logistic regression on titanic dataset
ipynb logistic-regression machine-learning numpy pandas python scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/shwetapardhi/assignment-3-q3-hypothesis-testing
Chi2 contengency independence test image of Buyer Ratio Assume Null Hypothesis as Ho: Independence of categorical variables (male-female buyer rations are similar across regions (does not vary and are not related) Thus Alternate Hypothesis as Ha: Dependence of categorical variables (male-female buyer rations are NOT similar across regions (does v
chi2-contingency contingency-analysis hypothesis-testing norm numpy pandas python scipy stats
Last synced: 12 Apr 2026
https://github.com/djdhairya/car-accident-detection
csv cv2 geocoder geolocation keras math matplotlib numpy opencv pandas scikit-learn system tiwilo transformer
Last synced: 12 Apr 2026
https://github.com/harmanveer2546/campus-recruitment-prediction
Student Campus-Placement Prediction ML Project using Python
decision-trees machine-learning matplotlib numpy pandas python random-forest scipy seaborn
Last synced: 11 Apr 2026
https://github.com/jorisbertier/learnpython
Project for learn Python
beautifulsoup4 matplotlib numpy pandas python seaborn
Last synced: 05 May 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/saopicc/ddfacet-kernels
Modular implementation of the DDFacet Gridding Kernels
Last synced: 26 Jan 2026
https://github.com/windjammer6/7.-numpy-pandas-matplotlib-learning-and-practice-python
My learning journey of Python's Libraries NumPy, Pandas and Matplotlib
matplotlib numpy pandas python
Last synced: 08 May 2026