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/harsha-yuvaraj/data-compression-and-decompression-tool
A specialized lossless file compression and decompression tool designed mainly for plain text, including programming files.
data-structures huffman-compression-algorithm lossless-compression-algorithm numpy python tkinter
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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
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https://github.com/ledsouza/medphys-bi
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https://github.com/kylehperez/mushroomnet
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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
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SpamShield
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data-science datavisualization machine-learning matplotlib numpy pandas python seaborn skit-learn
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Convert a video file or camera captured to display as text.
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bag-of-words nlp nlp-machine-learning nltk numpy pandas python random-forest scikit-learn sklearn streamlit
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lightgbm machine-learning matplotlib mlflow numpy optuna pandas pickle random-forest scikit-learn scipy seaborn statsmodels xgboost
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https://github.com/fatimaafzaal/car_price_prediction
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car-price-prediction ensemble-learning gradient-boosting matplotlib numpy pandas random-forest regression regression-models scikit-learn seaborn
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https://github.com/ravi-aratchige/spacefarer
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https://github.com/als8446/tripleten-data-science-projects
Projects Overview Projects made in the Data Scientist course from TripleTen LatAm
data data-analysis hypothesis-tests machine matplotlib numpy pandas python scipy sklearn
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https://github.com/lorenzorottigni/ml-iris-svm
Machine Learning python bootcamp: Support Vector Machines on iris flower dataset
ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines
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https://github.com/gaball1/alzheimer-prediction-ai
Alzheimer Prediction is a machine learning-based project designed to predict the likelihood of Alzheimer’s disease using clinical and imaging data. The project features an interactive web application built with Streamlit, enabling users to input key data, view predictions, and explore visualizations .
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https://github.com/lfgodoi/rpm-deep-estimator
A deep learning-based RPM estimator based on spectral features extracted from vibration signals of rotating machines.
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https://github.com/bharath-tars/deeptumor
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https://github.com/theanujsinha01/seoul-bike-sharing-demand-prediction
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data-cleaning data-science exploratory-data-analysis feature-engineering jupyter-notebook machine-learning matplotlib model numpy pandas seaborn
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https://github.com/adi3042/credit-card-fault-detection
🔍💳 Secure Your Finances! Detect anomalies and safeguard transactions with our Credit Card Fault Detection system. Dive into cutting-edge classification techniques to identify fraud and protect financial data. Your journey to secure payments starts here! 🚨🔒 FraudDetectionTech
classification credit-card css datetime fault-detection flask functools html ipykernel jupyternotebooks machine-learning numpy pandas python3 readme scikit-learn setuptools venv
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Data Analysis
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https://github.com/dipto9999/ml_introduction
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https://github.com/sgb31/csv-retrival-based-rag
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https://github.com/sadegh-khedry/titanic-survival-prediction
Predicting Titanic survival using neural networks.
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Last synced: 10 Apr 2026
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predict whether a person has a heart disease or not.
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https://github.com/ameykasbe/credit-card-fraud-detection-on-imbalanced-dataset
Examined data preprocessing techniques and performance of six different predictive models in Python to credit card fraud detection problem on an imbalanced dataset. Algorithms implemented - Logistic Regression, K Nearest Neighbours, Support Vector Classification, Naïve Bayes Classifier, Decision Tree Classifier, and Random Forest Classifier.
classification machine-learning matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/shivammg/coursera-ml-numpy
Coursera Machine Learning course done using Python, NumPy, and Seaborn
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https://github.com/snigdho8869/clustering-projects
Repository for various clustering projects including mall customer segmentation and more. Explore data analysis and clustering techniques
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Last synced: 10 Apr 2026
https://github.com/aniruddhakhedkar/eda_for_chinese_automotive_company_teclov_chinese
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https://github.com/pedasoft-consult/multi_class_text_classification
Multi-Class Text Classification for News Headlines
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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/ryan-bendelson/2024-summer-research
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https://github.com/aneeshmurali-n/project-ml-data-preprocessing
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https://github.com/mogankumar/virtual-mouse
A Python-based Virtual Mouse that uses hand gestures for cursor control, clicking, scrolling, and taking screenshots. Powered by OpenCV, PyAutoGUI, and a custom hand tracking module for a touch-free experience.
autopy numpy opencv pyautogui python3
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https://github.com/khaymanii/spam_mail_detection_model
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Last synced: 10 Apr 2026