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/sakhileln/multimodal-chatbot-with-memory
A lightweight, CLI-based conversational agent that processes text and image inputs, remembers past interactions.
chatbot machine-learning nlp numpy opencv spacy tensorflow
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https://github.com/nagipragalathan/zk-connect
In the conventional hiring process, candidate applications are met with limited assessment, leaving the crucial task of evaluating suitability to recruiters. ZKConnect disrupts this norm by introducing a transformative approach.
css django html nextjs numpy opencv pandas python
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projects related with data science and machine learning projects.
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classification communication data-modeling dataframes numpy pandas python scikit-learn supervised-ml
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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
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Desenvolver uma dashboard para anรกlise do mercado financeiro utilizando Python e Power BI
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envs jupyter-notebook matplotlib numpy pandas pyspark python3 terminal
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Developed a comprehensive ETL pipeline for movie data using Python, Docker, and a GCP Pub/Sub emulator. Successfully processed and published the data in a local Docker environment, showcasing advanced data engineering skills.
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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.
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https://github.com/sothulthorn/stock-prediction-portal
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Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.
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https://github.com/Sadegh-Khedry/Pneumonia-Detection-Using-CNN
Classifying chest X-ray images into two categories: Pneumonia or Normal using a Convolutional Neural Network (CNN).
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https://github.com/alejoduarte23/bs6472
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classification flask logistic-regression machine-learning numpy pandas python renderdeploy scikit-learn sentiment-analysis
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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/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
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A deep learning-based project for classifying brain MRI images into Glioma, Meningioma, No Tumor, and Pituitary Tumor using Convolutional Neural Networks (CNNs). This project aims to assist in early tumor detection, improving diagnostic accuracy and healthcare outcomes.
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https://github.com/chandkund/iris-classification
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https://github.com/yosrak5/predictive_maintenance
End-To-End Predictive Analytics to predict Hardware Maintenance Before it occurs using data preprocessing and Machine Learning classification modeling (XGBOOST , Random Forest )
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Last synced: 25 Feb 2026
https://github.com/daksh777/expressando
Expressando is a rock, paper, scissors game made using Python (TensorFlow, Keras and OpenCV)
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Last synced: 13 Apr 2026
https://github.com/dineshdhamodharan24/industrial-copper-modeling
It seems like you have a project that involves modeling industrial copper data using Python and several libraries such as pandas, numpy, and scikit-learn. This is a common and practical approach, as these libraries are widely used for data manipulation, analysis, and machine learning tasks.
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https://github.com/shahiakhilesh1304/fitbitcasestudy
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Last synced: 13 Apr 2026
https://github.com/ananyajain2004/fake-news-detection
A python project for detecting fake news using machine learning algorithms.
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https://github.com/mahdibehoftadeh/polynomial-regression-co2-emissions
A simple machine learning polynomial regression using a large dataset to learn and predict CO2 emission of a car by its built features like engine size and cylinders
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Last synced: 22 Feb 2026
https://github.com/mehwishferoz/data-analysis-with-python-zero-to-pandas
This repository contains the Python code and projects I created while learning the Data Analysis with Python: Zero to Pandas course. The course covers essential topics such as data cleaning, analysis, and visualization using powerful Python libraries like Pandas, NumPy, Matplotlib, and Seaborn.
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https://github.com/ljadhav25/data-engineering-poc
This repository contains a beginner-level Data Engineering Proof of Concept (POC) project designed for practice. The objective is to provide hands-on experience with data engineering concepts, including data extraction, transformation, loading (ETL), and basic data analysis. This project is ideal for those looking to build foundational skills in da
data-analysis etl matplotlib numpy pandas python
Last synced: 13 Apr 2026
https://github.com/bbhargavpanchal/brain-tumor-segmentation-unet
U-Net based Convolutional Neural Network for brain tumor segmentation using MRI images. Implemented in Python with TensorFlow, OpenCV, and Scikit-learn.
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Last synced: 13 Apr 2026
https://github.com/danhenriquex/data_science_and_machine_learning
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https://github.com/athari22/investigating-netflix-movies-and-guest-stars-in-the-office
Apply basic Python skills in Introduction to Python and Intermediate Python by processing and visualizing film and television data.
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Last synced: 11 Apr 2026
