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/shriram-vibhute/digit_classification
This project demonstrates various machine learning techniques for classifying handwritten digits from the MNIST dataset. It covers data preprocessing, model training, evaluation, and advanced classification strategies.
classification data-analysis data-visualization machine-learning matplotlib numpy pandas sk-learn
Last synced: 28 Oct 2025
https://github.com/haloapping/ml-workflow
Template alur kerja machine learning.
mahine-learning numpy pandas python3 scikit-learn
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https://github.com/karan-malik/fakenewsdetection
Using Machine Learning and NLP to segregate the unreliable and reliable news articles
artificial-intelligence fake-news fakenewsdetection machine-learning machine-learning-algorithms natural-language-processing news nlp nlp-machine-learning numpy python python3 scikit-learn scikitlearn-machine-learning
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https://github.com/reusjimenez/data-analysis-labs
Casos completos y ejercicios prácticos de análisis de datos. 📊
data-analysis data-visualization jupyter-notebook machine-learning matplotib numpy panel python sklearn
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https://github.com/odnil/flowmodel
FlowModel is a lightweight and extensible machine learning framework designed for beginners to easily experiment with AI development through a modular plugin architecture.
ai ai-model ai-models diffusion flow-model flowmodel framework inverse-problems machine-learning numpy plugin-architecture python torch torchvision
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https://github.com/rakibhhridoy/easywaydiveinto-datascience
Data Science is not as easy as it seems at first. The most problem faced by new learner are lack of resource knowledge as well as confusion in using the various resources. I hope this repository will benefit confusion learner.
algorithms algorithms-implemented bayesian-statistics data-science deep-learning deep-neural-networks linear-algebra machine-learning matplotlib multivariate-calculus numpy optimization pandas python scikit-learn scipy seaborn statistics statsmodels tensorflow
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https://github.com/wyllduck/pygame_escapefromgaia
PYGAME / 2018 / university: ETSEIB-UPC / title: 'Escape from Gaia'
matplotlib networkx numpy pygame python3
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https://github.com/franklingu/ml_foundations
Machine Learning Foundations from University of Washington, rewrite in numpy, pandas, scipy and sklearn
coursera jupyter-notebook machine-learning numpy pandas scipy sklearn
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https://github.com/salma-mamdoh/python
My journey in Learning Python
database hakerrank-solutions jupyter-notebook kaggle matplotlib numpy oops-in-python pandas problem-solving python seaborn sqlite
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https://github.com/aarryasutar/logistic_regression_on_age_prediction
This code evaluates the performance of a logistic regression model on age prediction using various features to predict a binary target variable, calculating metrics to determine the performance. It evaluates the comparison, identifies favorable features, and visualizes the ROC-AUC curve to determine the best model performance.
accuracy-score confusion-matrix f1-score feature-selection logistic-regression model-training numpy pandas precision recall rmse roc-auc-curve scikit-learn visualization
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https://github.com/gallo13/neuralnetworks-deeplearning-image-classification-with-cnn
Explore the implementation of CNN with a color image dataset (Project 1)
cnn convolutional-neural-networks gpu-tensorflow jupyter-notebook keras keras-tensorflow numpy python scikit-learn seaborn tensorflow tensorflow2
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https://github.com/reusjimenez/python-data-analysis
Casos completos y ejercicios prácticos de análisis de datos. 📊
data-analysis data-visualization jupyter-notebook machine-learning matplotib numpy pandas python sklearn
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https://github.com/drill-n-bass/data-analysis-projects
Projects related to my Data Analyst path.
analysis data-analysis data-visualization matplotlib matplotlib-pyplot mysql mysql-database numpy pandas pandas-dataframe pandas-library pandas-python python python3 seaborn seaborn-plots static-analysis statistics
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https://github.com/burhanahmed1/data-analysis-with-python
Data-Acquisition and Basic Insights, Data Wrangling, Exploratory Data Analysis (EDA), and Training Prediction Models(Machine Learning) on two datasets.
data-analysis data-aquisition data-insights data-science data-wrangling dataanalytics datascience-machinelearning eda exploratory-data-analysis machine-learning-models matlpotlib numpy pandas practice-programming prediction-model python scikit-learn scikitlearn-machine-learning seaborn
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https://github.com/kientech/crop-recommendation-with-machine-learning
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fastapi machine-learning modeling numpy pandas python reactjs sklean
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The Implementation section of the "Signals and Systems" course
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https://github.com/islamshahil/machinelearning
A Fun Project - Using LinearRegression, Predicting the Value.
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A scratch-built NumPy implementation of a Fully Connected Neural Network, with a sequential model API, a variety of layers (Linear, ReLU, BatchNorm), loss functions (MSE, SoftmaxCrossEntropy), and a robust training `Solver` to create and train multi-layer perceptrons for both classification and regression.
backpropagation batch-normalization course-project deep-learning fully-connected-neural-network neural-networks nn-from-scratch numpy python university-project
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https://github.com/kernferm/presfutimpactsim
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economic-model forecasting matplotlib numpy political-model python scipy simpy simulation social-model
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https://github.com/hit07/data_science
Data [ Exploration, Cleaning, Manipulation, Visualisation ]
data-analysis data-cleaning data-exploration data-manipulation data-visualization eda jupyter-notebook matplotlib numpy pandas-dataframe scipy
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https://github.com/prashver/salary-prediction-on-scraped-data
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data-scraping machine-learning-algorithms matplotlib numpy pandas regression-models salary-estimator seaborn selenium selenium-webdriver
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https://github.com/dkealvaro/mnist
Achieved 75% accuracy in the MNIST dataset using a simple cosine similarity approach under 50 lines of code, with no training
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A collection of tutorials and examples showcasing the usage of Numpy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization.
data-science data-visualization matplotlib numpy pandas python seaborn
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https://github.com/ki3mono/naive_bayes_classifier
This project implements Naive Bayes Classifiers for two data types: Multinomial Naive Bayes Classifier and Gaussian Naive Bayes Classifier. Developed as part of the Probability Theory and Statistics course in the second year of Computer Science at AGH University of Krakow.
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https://github.com/apoorva-info/cognitive-load-using-blink-rates
Analyzing blink rates and task performance to measure cognitive load during digital span tasks using a custom Python tool.
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[from-scratch] feed forward neural network that can recognize handwritten digets
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https://github.com/witch-world/iris-flower-classification-decision-tree-classifier
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The app leverages algorithms to accurately predict house prices and recommend similar properties based on a saved dataset through content-based filtering. It is tailored for homebuyers seeking their dream house and real estate investors looking for profitable opportunities, providing powerful insights and data-driven decision-making support.
data-science eda html machine-learning numpy pandas python scikit-learn
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Some implementation of neural networks
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Simple web application for viewing, filtering and analyzing Basketball data using Stremlit.
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Learning neural networks by building custom implementations for various problems
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NumPy Neural Network framework
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NumPy based Python library for online calculation of moments .
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Simulations for the paper "Deep Learning for the Gaussian Wiretap Channel by Rick Fritschek, Rafael F. Schaefer, Gerhard Wunder"
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https://github.com/szilagyipeter99/imageprocessing
This repository contains the examples discussed in the Image processing practices.
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https://github.com/msthamizh/industrial-copper-modeling
Developing a Streamlit application that allows users to interactively predict sales outcomes using machine learning. The application supports both regression and classification tasks, enabling users to input various features and receive predictions for selling prices and status (WON/LOST).
exploratory-data-analysis machine-learning mongodb numpy pandas python streamlit
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Basic Python code snippets for data science students
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jupyter-notebook keras lstm-neural-networks matplotlib numpy pandas python streamlit tensorflow yfinance
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https://github.com/bl33h/relations
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https://github.com/willprice/arsenal
Personal arsenal of python utilities
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https://github.com/anselmoo/useful-math-functions
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"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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asgiref django mysql numpy opencv pillow-library python sqlparse
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https://github.com/rakibhhridoy/appliedmachinelearninghousing-regression
Let's take the Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library. The objective is to predict the value of prices of the house using the given features.
deep-learning housing-market housing-prices machine-learning numpy pandas python real-estate regression scikit-learn
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https://github.com/prajakta1321/authencheck
Amdocs Gen AI Graduate Hackathon 2024-25- A comprehensive fact-checking and misinformation detection system that leverages cutting-edge AI models and multiple news sources to verify information circulating on social media
api bert-fine-tuning flask-application matplotlib ngrok-server nlp nlp-machine-learning numpy pandas python3 scikit-learn seaborn wandb
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https://github.com/offthetab/statistics_homework
Практические работы по статистике МИРЭА 3 курс.
numpy pandas python statsmodels
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https://github.com/greatmonster11/ct202
Machine Learning Theorety
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https://github.com/abolfazl-younesi/levy-walk
This repository contains a Python implementation of the Lévy Walk simulation, a random walk model with a power-law step length distribution. The code simulates multiple walkers with boundary conditions and visualizes their trajectories for different values of the power-law exponent.
levy-walks matplotlib numpy python random-walk
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https://github.com/anas436/diabetes-prediction-whether-has-diabetes-or-not
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https://github.com/tigureis/data-preparation-from-kickstarter-campaigns
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data-cleaning data-construction data-integration data-science data-selection numpy pandas
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https://github.com/perpendicooler/computational_fluid_dynamics
Numerical Methods
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https://github.com/ondiekelijah/data-analysis-udacity
Udacity Data Analysis Nano Degree course resources
jupyter-notebook matplotlib numpy pandas python
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https://github.com/clchinkc/zombie
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algorithms data-analysis docker machine-learning matplotlib numpy pygame python sklearn tensorflow zombie-simulation
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https://github.com/iv4n-ga6l/simple-image-segmentation
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imagesegmentation matplotlib numpy opencv python watershed-algorithm
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https://github.com/futuresea-dev/media-player-vision
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https://github.com/niteshchawla/delhivery-featureengineering
The Data team builds intelligence and capabilities using this data that helps them to widen the gap between the quality, efficiency, and profitability of their business versus their competitors.
feature-engineering hypothesis-testing matplotlib-pyplot numpy pandas-python scipy-stats seaborn
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https://github.com/sejalmankar1012/customer_churn
The goal of this project was to develop a machine learning model that predicts customer churn based on historical customer data.
dataset deep-learning deployment machine-learning model-building modeling numpy optimization pandas seaborn streamlit tensorflow
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https://github.com/Marvin-VW/3dengine_python
3D engine written in Python using OpenCV and NumPy
Last synced: 29 Sep 2025
https://github.com/hadson0/dip-candy-classification
Candy classification project using digital image processing. Includes dataset creation, model development, and evaluation tools with TensorFlow, OpenCV, and Albumentations. Complete setup and instructions provided for building and training the model.
albumentations bounding-boxes cnn computer-vision cvat image-classification image-processing keras machine-learning matplotlib numpy opencv python seaborn sklearn tensorflow
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https://github.com/yalai92/cava_imp_exp_analysis
Analysis, visualization, preprocessing and clustering of global sparkling wine trade (2017–2024) using Python in Colab and ML to reveal trends and country profiles.
clustering colab-notebook data-science data-visualization machine-learning matplotlib numpy pandas preprocessing python sklearn tableau-public
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https://github.com/jovicdev97/Financial-Loan-DataScience-Notebook
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https://github.com/lexxai/goit_python_ds_hw_02
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https://github.com/heyitsjoealongi/fantasy-football-qbwr-model
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https://github.com/quocanh189/sentiment_analysis_eventhub
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https://github.com/mateusdigital/ram_it
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https://github.com/anand-sony/machine_learning
Machine Learning codes and concepts, including algorithms like K-means, PCA, and Linear Regression, with Python libraries (NumPy, Pandas, Matplotlib).
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https://github.com/ksprugevics/fractals
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https://github.com/RedInfinityPro/RedditBot
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https://github.com/unikraft/lib-python-numpy
The fundamental package for scientific computing with Python.
library numpy unikraft unikraft-library
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assignments of linear algebra course in AUT-CE in year 2023
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AI-Powered Social Media Post Optimizer enhances your social media content by optimizing text posts with relevant tags and keywords, predicting engagement metrics, and analyzing image quality. Upload your post and image to receive tailored suggestions for improving engagement and visual appeal.
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This project is a Machine Learning-based Movie Recommendation System developed during my internship at YBI Foundation. The system uses collaborative filtering techniques to recommend movies based on user preferences and behavior. It was implemented on Google Colab using Python and popular machine learning libraries.
google-colab machinelearning movie-recomendation-system numpy pandas pyhton
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https://github.com/navindafernando/heart-disease-prediction
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https://github.com/nellyndj52/breast-cancer-classification-ml
This project aims to build a machine learning models to predict whether a tumor is malignant or benign based on the Breast Cancer dataset. Various classification algorithms are tested, including Logistic Regression, Random Forest, and Support Vector Machine (SVM).
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https://github.com/fdopa/curso-ciencia-datos
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calculus csv data-science database example graphics-programming ipynb-jupyter-notebook jupyter-notebook library markdow-editor markdown md migration notebook numpy pandas preview python rules web
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Сборник всех выполненных учебных проектов курса Яндекс.Практикум "Специалист по Data Science".
bert catboost data-science database lgbm mashine-learning matplotlib numpy pandas python pytorch scikit-learn scipy seaborn sql xgboost
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https://github.com/dimits-ts/computational_statistics
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applied-mathematics machine-learning numpy regression statistics
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https://github.com/blazer-007/10-days-ml-challenege
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cnn keras machine-learning matplotlib-pyplot nlp nltk numpy pandas python3 rnn scikit-learn tensorflow
Last synced: 06 Apr 2026
https://github.com/thchilly/mlds102_py_exercises
Complete exercise sets from MLDS Practical Data Science and Applications course
data-science matplotlib numpy pandas python scikit-learn scipy tensorflow
Last synced: 06 Apr 2026
https://gitlab.com/Makman2/scipy-steadystate
SciPy extension modules for general purpose steady-state solvers and optimizations for differential state-equations!
numpy optimization scipy steady-state
Last synced: 07 Oct 2025
https://github.com/georgehanymilad/breast-cancer-detection
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anaconda classification classification-algorithm data-science dataanalysis kaggle machine-learning machine-learning-algorithms matplotlib numpy pandas python python3 seaborn
Last synced: 06 Apr 2026
https://github.com/kahleryasla/signal-convolution
implementation of signal convolution in Python using both a custom function and NumPy's built-in convolve function. Also includes a function for recording and playing audio using the sounddevice library.
audio-recorder convolution matplotlib numpy python signal-processing sounddevice
Last synced: 02 Mar 2025
