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: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/vedikasnehil/my-data-science-projects
This repository is a comprehensive collection of resources and implementations dedicated to the field of Data Science. It serves as a platform for exploring various aspects of data science, ranging from data preprocessing and exploratory data analysis (EDA) to machine learning and deep learning.
data data-science deep-learning machine-learning matplotlib numpy python sql visualization
Last synced: 10 Apr 2026
https://github.com/jain1shh/solar-flare-prediction
This repository contains code and data for predicting solar flare energy ranges using machine learning, based on NASA's RHESSI mission data. It includes preprocessing of FITS files into a unified CSV dataset and implements models like Gradient Boosting, Random Forest, and Decision Tree classifiers, achieving accuracies up to 87%.
data-visualization machine-learning numpy pandas python scikit-learn solar-flare-prediction
Last synced: 09 Apr 2026
https://github.com/kgruiz/linalg-practice
LinAlg-Practice is a Python library developed to deepen my understanding of linear algebra through hands-on implementation of various matrix operations. It includes comprehensive tests that compare the results with established libraries like NumPy to ensure accuracy and reliability.
algorithms data-science linear-algebra math matrix-operations numpy python sympy
Last synced: 21 Apr 2026
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
Last synced: 09 Apr 2026
https://github.com/vetrivel07/flight-price-prediction
Developed a flight price prediction model using Python, analyzing historical data to forecast airfare prices and help travelers make informed booking decisions
data-analysis data-visualization jupyter-notebook numpy pandas python
Last synced: 15 Jun 2025
https://github.com/nguyenanhtuan1912/datatable-image-to-text
Repository này là đồ án môn học Computer Vision
computer-vision javascript nodejs numpy opencv python tesseract
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https://github.com/har8899/students-scores
Data Analysis with Python
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https://github.com/clchinkc/zombie
Personal project, Python, NumPy, Matplotlib, Pygame, Scikit-learn, TensorFlow, Docker
algorithms data-analysis docker machine-learning matplotlib numpy pygame python sklearn tensorflow zombie-simulation
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https://github.com/vinicius999/eda-imdb-top1000-films
Análise exploratória dos Top 1000 filmes no IMDB até 2020
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https://github.com/buildwithlal/introduction-to-data-science-in-python-coursera
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data-analysis matplotlib numpy pandas
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https://github.com/vyjayanthipolapragada/image_classifier_cnn_data_augmentation
A deep learning project using Convolutional Neural Networks (CNNs) to classify CIFAR-10 images. The model leverages data augmentation, batch normalization, and ReLU activation to improve performance and generalization. Includes training and evaluation scripts for multi-class image classification.
adam-optimizer convolutional-neural-networks data-augmentation deep-learning image-classification jupyter-notebook neural-networks numpy optimizer pandas python pytorch relu-layer
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https://github.com/abdullahashfaqvirk/sms-spam-detection
A machine learning application designed to classify SMS messages as spam or non-spam, offering real-time analysis to identify potentially harmful content.
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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.
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https://github.com/v-mayya/resale-revolution
Empower Hacks Hackathon Submission
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https://github.com/mirzaazwad/tymbert
TYMBert is our submission for NCIM 2025, a spam classifier that makes use of knowledge distillation to compress the model while preserving accuracy
bert huggingface-transformers knowledge-distillation machine-learning matplotlib numpy pandas python3 scikit-learn tiny-bert torch
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https://github.com/jcardonamde/datasets_ml
This project analyzes cab and limousine travel data in New York City. This with the goal of predicting the total duration of trips within the city. Machine learning models were used.
data-science machine-learning machine-learning-algorithms matplotlib numpy pandas pipelines python seaborn sklearn
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https://github.com/shafaq-aslam/predicting-heart-disease-risk-with-logistic-regression-techniques
Develop a predictive model using logistic regression techniques to assess heart disease risk based on patient health metrics and data analysis.
data-analysis heart-disease logistic-regression machine-learning machine-learning-models matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/stefagnone/text_adventure_game
A text-based adventure game project using Python fundamentals
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https://github.com/Khushi130404/CatNet
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https://github.com/n-t-raghava/the_sweet_16
This project detects faces in real-time from a webcam feed or an uploaded image and predicts age (in bins of 5 years) and gender (Male/Female). The model is based on OpenCV’s Deep Neural Network (DNN) module and pre-trained models for face, age, and gender detection.
caffemodel deep-learning flask numpy opencv python
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https://github.com/dmarks84/coursework_project_ml-model-eval-refine
Project for IBM Data Science course on ML Models & Analysis -- Read in large dataset of home sales and utilized polynomial linear regression analysis to make predictions of future home sales prices
classification communication data-modeling dataframes machine-learning matplotlib numpy pandas programming python regression scikit-learn scipy seaborn supervised-ml visualization
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https://github.com/shauryashaurya/marty_mcfly
Code, text and notebooks on a tutorial for Introduction to Machine Learning using open sources
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https://github.com/perpendicooler/computational_fluid_dynamics
Numerical Methods
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ai finnish gradio image ml numpy opencv-python python python3 pytorch recognition resnet-18 scikit-learn torch torchvision torchvision-transforms tree trees
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https://github.com/kikoveiga/feup-ia1
Artificial Intelligence (IA) First Project (2023/2024): BSc in Informatics and Computing Engineering @ FEUP
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data-analysis fine-tuning generative-ai huggingface keyword llm numpy pandas python python3 selenium
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https://github.com/lfgodoi/rpm-deep-guesser
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condition-monitoring deep-learning docker flask machine-learning neural-networks numpy python pytorch scipy signal-processing spectral-analysis
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https://github.com/shreyasdankhade/portfolio_optimatization_project
The Portfolio Optimization Project uses optimization techniques to balance risk and return, helping investors make efficient asset allocation decisions.
flask flask-application matplotlib numpy pandas pandas-python porfolio-optimization portfolio python
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https://github.com/aaaastark/graph-convolution-network-with-dimensional-redaction-and-differential-algorithms-python
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cora differential-evolution dimensionality-reduction gcn gcn-architecture ipython matplotlib networkx numpy pandas pubmad pymoo python sklearn stellargraph tensorflow
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https://github.com/priyanshii1511/predicting-customer-churn
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confusion-matrix data-science machine-learning matplotlib numpy pandas plotly python seaborn sklearn
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https://github.com/mehtadigisha/medical-insurance-cost-with-linear-regression
Machine Learning for predict the charges
accuracy machine-learning matplotlib numpy pandas polynomial-regression r2-score scikitlearn-machine-learning seaborn
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https://github.com/shambac/shamboflow
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cuda cupy machine-learning numpy pypi-package
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https://github.com/t-lak/decision-tree
This project implements a basic Decision Tree classifier. It supports visualizing the tree and calculating performance metrics (accuracy, precision, F1-score, and recall).
decision-trees graphviz metrics numpy python3 scikit-learn
Last synced: 07 May 2026
https://github.com/arijitdas0211/live-image-capture-and-emotion-detection
colab-notebook numpy pandas python scipy
Last synced: 29 Jul 2025
https://github.com/mallocode300/colour_palette_generator
Upload an image and immediately obtain a colour palette with the 10 most common colors in HEX codes and RGB
Last synced: 29 Jul 2025
https://github.com/morsalinislamshapon/diabetes-prediction-systemv3
This repository contains a machine learning model that predicts diabetes using user health data. It features an interactive web interface built with Streamlit and provides insights into model predictions through SHAP and permutation importance. 🐙🌟
jupyter-notebook machine-learning matplotlib numpy pandas plotly randomforestclassifier sckit-learn seaborn streamlit-webapp
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https://github.com/tomaslopera/fifa_analysis
exploratory-data-analysis matplotlib numpy pandas preprocessing-data
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https://github.com/philiptitus/height-prediction
Built an ML model to predict height of a person based on their age.
linear-regression machine-learning machine-learning-algorithms matplotlib numpy sckit-learn supervised-learning
Last synced: 19 Apr 2026
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
Last synced: 02 May 2025
https://github.com/elijahondiek/shadowcoach-formtracker
A computer vision-based workout form tracking application that uses AI to monitor exercise form, count repetitions, and provide real-time feedback.
mediapipe-pose numpy opencv-python
Last synced: 18 Apr 2026
https://github.com/yashsonaar/data-science-projects
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classification data-science jupyter-notebook machine-learning matplotlib numpy pandas prediction python scikit-learn testing visualization
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Glucose Monitoring system to monitor patients and notify whenever glucose goes high.
machine-learning numpy pandas plotly python3 streamlit xgbboostregressor
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https://github.com/nathadriele/transaction_fraud_prevention_pipeline
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data-analysis data-visualization docker fraud-prevention machine-learning matplotlib numpy pandas pipeline pytest python scikit-learn scipy seaborn streamlit tensorflow transaction xgboost
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https://github.com/vipinchaudhary31122002/valuevanguard
ValueVanguard is a machine learning project for accurate house price predictions. Using advanced algorithms and real-world data, it empowers users to analyze and forecast property values efficiently. Perfect for developers, data enthusiasts, and real estate professionals. 🏠📈
machine-learning matplotlib numpy pandas python sklearn streamlit
Last synced: 12 Apr 2026
https://github.com/jadelhelm/100-days-of-code-python
The Complete Python Pro Bootcamp 2024
100daysofcode 100daysofpython bootstrap bootstrap5 css css3 flask html matplotlib numpy pandas plotly python rest-api scikit-learn selenium-webdriver sqlite tkinter turtle
Last synced: 09 Apr 2026
https://github.com/zeeshan4002911/data-analysis-hub
Quality control, data processing, data cleaning, data ploting
jupyter-notebook jupyterlab matplotlib numpy pandas seaborn
Last synced: 03 May 2026
https://github.com/erolnebioglu/numpy-basics
Python-Numpy
numpy numpy-arrays numpy-tutorial
Last synced: 08 May 2026
https://github.com/gilevatanya/yandex-practicum-projects
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bert bootstrap catboost keras lightgbm matplotlib nltk numpy pandas postgresql python pytorch scikit-learn scipy seaborn sql
Last synced: 06 Jan 2026
https://github.com/ledsouza/MedPhys-BI
Aplicativo desenvolvido para gestão e análise de dados do Serviço de Física Médica em Medicina Nuclear do HCPA
aws boto3 cloud-computing cloud-run docker dotenv gcp mongodb numpy os pandas plotly pymongo python s3 streamlit terraform vitrinedev yaml
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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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https://github.com/youssefali11997/free-style-coding
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bash javascript numpy python3 ruby-on-rails scripts vuejs
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https://github.com/farzeennimran/cryptocurrency-price-prediction
Cryptocurrency Price Prediction using machine learning models 💲💰💸📈📉📊₿
artificial-intelligence cryptocurrency data-analysis data-preprocessing data-science data-visualization deep-learning feature-selection machine-learning matplotlib numpy pandas plotly prediction python regression-models scipy seaborn sklearn
Last synced: 07 Jan 2026
https://github.com/abeed04/face-recognition-using-computer-vision-cv2
OpenCV (cv2) can be used for face recognition by detecting faces, extracting facial features, and comparing them to a database of known faces.
cmake cv2-library dlib-face-recognition face-recognition flask numpy pycharm-ide python
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https://github.com/lovesaroha/learning-neural-networks
Various concepts of neural networks applied in python (numpy) to help people get started with AI.
batch-normalization dropout gradient-descent logistic-regression neural-network numpy python regularization
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https://github.com/giacomolat/realestateai-solutions---a-forecasting-model-for-the-housing-market
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cross-validation elasticnet-regression lasso-regression-model machine-learning-algorithms matplotlib matplotlib-pyplot numpy pandas python regularization-methods regularization-to-avoid-overfitting ridge-regression-model seaborn standardization
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https://github.com/xkomil/datasciencesummerstudy
I want to document in this repository all my studying data science topics
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https://github.com/vigneshvaranasi/breast_cancer_detection
This project employs machine learning, focusing on Logistic Regression, to detect breast cancer using tumor-related features. The dataset is preprocessed, and the model achieves 100% accuracy on the test set. The goal is to gain insights into breast cancer factors and provide an effective detection solution.
jupyter machine-learning matplotlib numpy pandas python scikit-learn
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https://github.com/darkdk123/handwashing-discovery-analysis
A Guided Project in a Boot camp to Analyse the Original Data used in the Discovery of Viruses & Hand Washing By Dr. Ignaz Semmelweis in Vienna General Hospital in the 1840s.
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https://github.com/sakshithbillava/expense-manager
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This repository is a comprehensive guide for learning data science using Python. It covers various essential libraries and tools commonly used in the field of data science, including Jupyter Notebook, Matplotlib, NumPy, Pandas, Scikit-learn, and PyTorch.
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https://github.com/muavia1/roman-urdu-poetry-generation-using-lstm
Here’s a short description you can add to your GitHub project: Roman Urdu Poetry Generator A deep learning project using LSTM and TensorFlow to generate Roman Urdu poetry. Trained on a poetry dataset and deployed with a Gradio interface for interactive text generation.
deep-learning gradio gradio-interface lstm model-training numpy pandas poetry-generator python tensorflow
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https://github.com/sridharyadav07/machine-learning-project-bankruptcy-prevention-
The project explores multiple machine learning algorithms and evaluates their performance using various metrics, such as accuracy and confusion matrices. The models tested include Logistic Regression, K-Nearest Neighbors (KNN), Naive Bayes, and Support Vector Machine (SVM). In addition, regularization techniques (L1, L2) are used to avoid overfit.
data-preprocessing evaluation machine-learning-models matplotlib-pyplot modelbuilding modeldeployment numpy pandas python scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/jpgiant/training_project
Analyzing whether there is a difference between the average death ages of left handers and right handers using Bayesian Conditional Probability Theorem.
bayesian-statistics data-analysis data-visualization numpy pandas-dataframe python
Last synced: 30 Apr 2026
