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/nicolau-369/jupyter
Treinamento Para Análise de Dados.
big-data jupyter jupyter-notebook matplotlib numpy pandas python python3
Last synced: 19 Mar 2025
https://github.com/RYANFRANKLIN237/Data-science-ml
trained ML and DL models to give accurate classifications,predictions and recommendations
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Last synced: 30 Apr 2025
https://github.com/wkrzywiec/polish-crops
Machine learning project to find out if price of a wheat in Poland depends on a weather.
decision-tree-regression eurostat imgw jupyter-notebook linear-regression machine-learning matplotlib-pyplot numpy pandas pipenv poland polynomial-regression python random-tree regression-models scikit-learn support-vector-regression
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https://github.com/olutosinbanjo/direction_field
Plotting a Direction Field with Python (Intel® DevMesh Project)
cloud devcloud dpctl dppy heterogeneous-computing high-performance-computing intel intel-xpu numba numpy python3
Last synced: 04 Apr 2025
https://github.com/shoaib-programmer/pychemicals
Python library designed for chemical calculations like pH, and titrations. It also includes other features like interactive graph plotting.
chemicals matplotlib numpy pyplot python3 titration titration-curve
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https://github.com/tawabshakeel/neural-networks-using-keras
Different Neural Networks using keras
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Last synced: 08 Apr 2026
https://github.com/sumitgirwal/diabetes-linear-regression-ml
This is a simple diabetes checker machine learning test model, build with linear regression in Python , Matplotlib, NumPy, and sklearn. Diabetes is built in a dataset within the sklearn library. Where first you train the model then you apply a test to see how the output/result is approximate/good or change something in the model.
linear-regression matplotlib numpy python3 sklearn
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https://github.com/swaathi/cpt-recommendation
Collaborative Filtering using User-Item and Item-Item Models
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https://github.com/mrarvind90/fcc-mean-var-std-calculator
A Python program to compute the mean, variance, standard deviation, maximum, minimum, and sum of a given list, both flattened and along specified axes using Numpy.
black freecodecamp freecodecamp-challenge freecodecamp-project numpy python3
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https://github.com/upul/chocolate-quality-analysis
This repository contains a Jupiter notebook which describes how to use basic machine learning tools such Scikit-Learning, Pandas, and Numpy for buiding models.
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https://github.com/roma-glushko/numpy-katas
🧮 Exercises to sharp scientific computations with Numpy
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https://github.com/gandhasiri-rahul-mohan/association-rules-2-my-movies
Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots
apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-learning
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https://github.com/moustafamohamed01/moustafamohamed01
Software Engineering Student | Specializing in Machine Learning, Deep Learning, and Generative AI
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https://github.com/biantris/graph-python
Graph sin vs cos using matplotlib and numpy
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https://github.com/ndohvich/time_series
time series analyse with python language
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https://github.com/muhozgu/bi_image_classifier
Binary image classifier (dogs vs cats) using a convolutional neural network (CNN)
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https://github.com/ashkarin/ndpatch
Package to extract arbitrary regions from an N-dimensional numpy array assuming it mirrored infinitely.
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https://github.com/vicperal/ai-genai_projects
Python projects about LLM and ML use cases. I am using modules such as Pandas, Numpy, Plotly, scikit-learn, Transformers, Flask, JSON, etc. to analyze data, predict, generate insights and create text from models such as LLMs, linear regression, assembly methods, etc. Server- Front-End using Flask
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https://github.com/intelpython/mkl_umath
Package implementing NumPy's UFuncs based on SVML and MKL VML
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https://github.com/santoshn86/image-classification
This is an end-to-end project wehre I have used my friends images dataset for Image classification using logistic regreesion. It's applications may be used in Security and Surveillance, Criminal's classification & detection .
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https://github.com/prajwalchapke055/sih-1505---smart-india-hackathon-2023
Problem Statement : Aerial Location of Hazardous Atmosphere in Industries (Ministry of Home Affairs).
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https://github.com/ksatrajit0/heart-disease-prediction-ml
Predicts the risk of heart attack in a patient using their medical record
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https://github.com/pavankethavath/dominos---predictive-purchase-order-system
This advanced forecasting tool leverages Prophet, ARIMA, SARIMA, and LSTM models to predict daily sales for 32 pizzas and 64 ingredients. With Prophet achieving the lowest MAPE, it ensures accurate demand forecasts, optimized inventory, and efficient purchase planning, reducing waste, preventing stockouts, and enhancing supply chain efficiency.
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https://github.com/carlolepelaars/q4p
Quantum Computing for (Python) Programmers
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https://github.com/indhra/helloworld
1.Numpy tutorial
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https://github.com/javierkaiser9/rgbd-dual_input_machine_learning_model
This Demo presents a machine learning-based steering module for sidewalk navigation . Using a dual-input EfficientNetV2 model, it processes RGB-D data from an Intel RealSense D415 to classify sidewalk scenarios and generate real-time steering commands. Optimized with OpenVINO
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https://github.com/pjessesco/print2d
Replacement of `print()` for printing 2d array with readability including Torch and Numpy.
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🐶 Track indices across one or more numpy selections.
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https://github.com/geetisha/web-scraping-and-sentiment-analysis
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https://github.com/gourab-sinha/instabot
This project is all about web scraping using Selenium, BeatifulSoup and Python Packages.
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https://github.com/savitar-hub/image-classification
Notebooks on how image classification can help businesses make better decisions and improve the customer experience.
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https://github.com/nehalmr/qiksit-fall-fest-hackathon-2024
The Qiskit Hackathon is a unique opportunity for students to dive into the fascinating world of quantum computing. Participants will collaborate in teams to tackle a series of challenging problems that test their creativity, problem-solving skills, and understanding of quantum algorithms. This hackathon aims to inspire innovation in QC.
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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.
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Template alur kerja machine learning.
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https://github.com/karan-malik/fakenewsdetection
Using Machine Learning and NLP to segregate the unreliable and reliable news articles
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https://github.com/simranjeet97/datascience_crashcourse
Data Science Crash Course that Explained about Each and Every Process in Data Science.
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https://github.com/jayanthpotluri5513/ml-project-on-iris-dataset-
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https://github.com/jonad/dog_detection_app
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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.
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https://github.com/geetisha/advanced-eda-and-text-mining
Advanced EDA and Text Mining
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https://github.com/khadkarajesh/wine-prediction
White and Red Wine classification using logistic regression
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https://github.com/dmarks84/ind_project_california-housing-data--kaggle
Independent Project - Kaggle Dataset-- I worked on the California Housing dataset, performing data cleaning and preparation; exploratory data analysis; feature engineering; regression model buildings; model evaluation.
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https://github.com/alicbm/learnlytics-code
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https://github.com/franklingu/ml_foundations
Machine Learning Foundations from University of Washington, rewrite in numpy, pandas, scipy and sklearn
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https://github.com/bl0nder/regressify
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https://github.com/salma-mamdoh/python
My journey in Learning Python
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https://github.com/nathanielsimard/numpy-mnist-classifier
Feed forward neural network using Numpy for MNIST classification.
deep-learning machine-learning mnist mnist-classification mnist-classifier numpy
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https://github.com/renan-siqueira/face-recognition-research
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https://github.com/aneeshmurali-n/ml_bangalore_house_price_analysis
This project focusing on statistical analysis to understand and prepare data for potential machine learning applications. The dataset house_price.csv includes property prices in Bangalore. The analysis aims to perform exploratory data analysis (EDA), detect and handle outliers, check data distribution and normality, and analyze correlations.
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https://github.com/antonvagabond/maze
Operation and functionality of two mazes.
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https://github.com/msadeqsirjani/cinemetrics
This project focuses on analyzing the Netflix dataset to gain insights into the movies and TV shows available on Netflix.
decision-trees jupyter matplot netflix nlp nltk numpy pandas plotty python scikitlearn-machine-learning seaborn sklearn svm
Last synced: 06 Apr 2026
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/frknbm/python
data-science data-structures numpy pandas pycharm python
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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
Last synced: 07 Apr 2026
https://github.com/priyanshgoantiya/ml-from-scratch-without-sklearn
This repository contains machine learning algorithms implemented from scratch using only NumPy—without relying on scikit-learn or other high-level ML libraries. The goal is to provide a deeper understanding of how fundamental machine learning models work under the hood by implementing them step by step.
Last synced: 15 May 2026
https://github.com/inoles/resumeinsight
AI-powered resume screening tool
numpy pandas pandas-python pdfminersix python resume resume-screening spacy spacy-nlp
Last synced: 05 May 2026
https://github.com/charmee123/krishak_vriddhi
https://krishak-vriddhi.onrender.com
bootstrap css flask html javascript machinelearning-python numpy pandas scikit-learn
Last synced: 06 Apr 2026
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
Last synced: 07 Apr 2026
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/bl33h/relations
A program for relation analysis and matrix operations using numpy. It determines relation types and performs matrix computations.
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https://github.com/amir78729/signals-and-systems
The Implementation section of the "Signals and Systems" course
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https://github.com/mehraaaaa24/stockpriceprediction
A real-time web app that predicts stock prices using an LSTM model, visualizes data with moving averages, and allows user input for stock symbols.
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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/drcbeatz/aynm-data
Python scripts for data cleaning and processing for AYNM (Pandas/NumPy/Selenium/AWS Textract)
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https://github.com/mr-chang95/ibm_recommendation_system
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https://github.com/earth-app/doc2lora
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https://github.com/msmrexe/numpy-neural-network
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/akashshnkr/multi-disease-prediction
Developed and integrated three machine learning models for predicting diabetes, Parkinson's, and heart disease into a Streamlit-based web application. The interface allows users to input data and receive accurate health predictions, enhancing early detection and healthcare outcomes.
logistic-regression machine-learning-algorithms numpy pandas python scikit-learn streamlit-webapp svm
Last synced: 02 Jan 2026
https://github.com/kernferm/presfutimpactsim
This repository contains a Python simulation model that forecasts political, economic, and social factors under a hypothetical presidency. Users input initial values, and the model simulates their progression through defined interactions and random variations.
economic-model forecasting matplotlib numpy political-model python scipy simpy simulation social-model
Last synced: 07 Jan 2026
https://github.com/haidermalikk/neural-network-circuit-optimizer
The Neural Network Circuit Optimizer, built on my custom digital circuit simulator, uses AI and machine learning to optimize simple digital circuits. It leverages neural networks, circuit simulation, and optimization algorithms to reduce component count which improves: power usage, and execution time and efficiency. *Under Dev see Readme*
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https://github.com/popckovs/computational_mathematics
Создаю свой модуль для решение задач по вычислительной математике.
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https://github.com/isaacef/independent-motion-detector
Detect independently moving objects in a scene captured by a single camera.
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trained ML and DL models to give accurate classifications,predictions and recommendations
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https://github.com/hit07/data_science
Data [ Exploration, Cleaning, Manipulation, Visualisation ]
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https://github.com/thekartikeyamishra/voicecloner
The Voice Cloner is a Python-based project that leverages Tacotron 2 and WaveGlow models for text-to-speech (TTS) synthesis and basic voice cloning. This project supports 22 official Indian languages, including Sanskrit, making it versatile for multilingual text input.
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https://github.com/madhurimarawat/python-for-datascience
This repository contains programs in the python programming language.
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A ML model to predict Flight Delays
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Python script that resamples an instruments minute by minute candle stick data to any interval
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🦅 Artifical Swarm Intelligence
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