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/jesussantana/ibm-python-for-data-science-py0101en
This introduction to Python will kickstart your learning of Python for data science, as well as programming in general.
data-science numpy pandas python
Last synced: 08 May 2026
https://github.com/nikhilroxtomar/introduction-to-numpy
A list of jupyter notebook explaining the various functions and properties of Numpy.
Last synced: 21 Apr 2026
https://github.com/aroojzahra908/artifical-intelligence-and-machine-learning-
Explore the basics of linear regression, gradient descent, and AI using Python. Get hands-on with NumPy, pandas, Matplotlib, and scikit-learn for practical learning.
artificial-intelligence gradient-descent linear-regression machine-learning matplotlib numpy pandas scikit-learn-python
Last synced: 08 May 2026
https://github.com/oriyarden/binary-multiclassificationneuralnetworksfromscratchnumpyarraysonlypython
Neural networks for binary and multiple classification from scratch (using only numpy arrays) in Python
artificial-intelligence artificial-neural-networks backpropagation backpropagation-neural-network data-science from-scratch google-colab-notebook iris iris-classification iris-dataset machine-learning neural-networks numpy numpy-arrays object-oriented-programming oop python recurrent-neural-networks
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https://github.com/cybergeek1943/mathflow
Like `requests` for mathematical computing, making complex math feel simple.
analysis calculator calculus mathematics numerical-analysis numerical-methods numpy python-math scipy symbolic-expressions symbolic-math sympy
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https://github.com/hamdaniqhmqd/kelompok6-sistem-cerdas-bbri
Repository group6-system-smart-bbri is a group assignment project that uses Streamlit, scikit-learn, and related technologies to build a BBRI stock price prediction application based on day, week, and month input.
data-visualization numpy pandas python sklearn streamlit
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https://github.com/mohidex/analyze-movie-rating
Analyzing the distributions of IMDB and Metacritic movie ratings to see if we find anything interesting. To do this, first scrape data for over 2000 movies from imdb website.
beautifulsoup4 jupyter-notebook matplotlib numpy pandas python3 requests webscraping
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https://github.com/khaledkamr/mastring-python
This repository covers essential Python programming topics, including basics, OOP, file handling, and database operations. It also contains mini-projects to help solidify your understanding through practical application.
database filehandling functions if-elif-else introduction-to-python list-methods loops numpy oops-in-python python recursion set-methods sqlite3 string-methods tuple-methods
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https://github.com/ryantusi/ai_ml_fundamentals
Welcome to my GitHub repository showcasing projects completed during the AI/ML Foundation course from Codecademy. This repository contains a collection of projects that demonstrate my skills and knowledge in the field of artificial intelligence and machine learning.
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https://github.com/camilajaviera91/clustering-first-approach
This code will help to understand, in a simple way, how the clustering model works. To achieve this, we will input certain variables (strings and integers), then plot them to visualize and analyze how the values are positioned.
array cluster clustering dictionaries matplotlib numpy pandas python
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https://github.com/briankopp/fewerbytes
compress numpy arrays. binary and numeric techniques for numpy compression
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https://github.com/gg7991/data-analysis-with-python-certification-freecodecamp
Challenges for DA with Python Certification on FreeCodeCamp
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https://github.com/ki-seki/set_determ
Set deterministic modes of `random`, `torch` and `numpy` to ensure reproducibility. Idea is inspired by https://darinabal.medium.com/deep-learning-reproducible-results-using-pytorch-42034da5ad7
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Analysi hear disease data set with deep learning
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https://github.com/akashash01/logistic-regresion
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https://github.com/framebuffers/mindhunter
Wrappers for Pandas DataFrames to add quicker access for common statistical values, utilities and functionality.
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https://github.com/neetigyab/pdfreader
Ready to use Python application/file for parsing a specific format of pdf form, and storing relevant user data in a tabular format in excel sheet
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https://github.com/vvipjain/stock-trend-analysis
Stock Trend Analysis
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https://github.com/chr5tphr/funcache
Minimally cache python function outputs on disk!
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https://github.com/seungjaelim/scratchml
Implement neural network only using numpy
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https://github.com/fabrizio-ottati/misha
Simple and fast decoding of event cameras data to NumPy
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https://github.com/wenlu057/deep-learning-practice
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Worked Example Miner (WEM): A Comprehensive Tool for Analyzing Java Repositories.
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https://github.com/pranav-bot/ml-dl-models-from-scratch
This contains the most commonly used machine learning and deep learning models written from scratch without the use if any libraries except Numpy which is used for calculations
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https://github.com/tanu272004/-income-mortgage-housing-insights-a-state-city-analysis-
To analyze state & city housing trends and affordability using data analytics.”
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Notes & Code following Python for Data Analysis textbook
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https://github.com/hansalemaos/cythonunique
Fast implementation of unique elements in an array - up to 30x faster than NumPy
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https://github.com/sebsikora/curve_fitting
A short guide to using Python tools to perform arbitrary curve-fitting of research data via constrained minimisation.
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https://github.com/21aja/house_price_prediction_revised_project
House price prediction using ML with Decision Tree Regressor achieving 100% accuracy. Preprocessing, EDA, and model evaluation applied using Python, Pandas, NumPy, Scikit-learn, and XGBoost for data-driven insights.
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https://github.com/salmandeveloperz/student-performance-prediction-and-grade-classification
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This Model was built using Python and Linear Regression algorithm
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https://github.com/harmanveer-2546/diabetes-prediction-using-machine-learning
Diabetes is a medical disorder that affects how the body uses food for energy. When blood sugar levels rise, the pancreas releases insulin. If diabetes is not managed, blood sugar levels can rise, increasing the risk of heart attack and stroke. We used Python machine learning to forecast diabetes.
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https://github.com/enjirouz/intelligentsystems
Expert systems examples: production type expert systems with direct and reverse logical conclusion; numpy perceptron; numpy neural network trained on logic AND operation; convolutional neural network for image recognition using cifar10 dataset and keras
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https://github.com/haloapping/sharing-tipis-tipis
#sharingtipistipis 📗 catatan ketika belajar machine learning, deep learning dan masih banyak lagi.
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https://github.com/paulo-santos-ds/analise_corrida_taxi
Este projeto tem como objetivo analisar os dados de um aplicativo fictício de caronas. Encontrar padrões nas informações disponíveis, entender as preferências dos passageiros e o impacto de fatores externos nas corridas.
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https://github.com/satyanaryana-merla/financial-analysis-in-loan-analytics
sample datasets containing information about several loans, including details such as loan amount, interest rate, term duration, and other key characteristics. For this project, we need you to calculate a cash flow amortization schedule for each loan,
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https://github.com/alvinmurimi/jumia
Data analysis on smartphones listed on jumia.co.ke
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Multi Class Image Classification Problem
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https://github.com/clayrisser/math-playground
Personal math playground
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https://github.com/bielstela/connect-four
Numpy implementation of the game connect four (AKA four in a row)
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https://github.com/rvats20/python-programming-basic
Python programing basic to develop robust python applications.
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https://github.com/code-taweezy/thermos-ai
An AI-powered thermal optimization and anomaly detection system for energy-efficient data centers. Note: this is a MVP
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Last synced: 02 May 2026
https://github.com/tom474/rice_plant_disease_classification
[RMIT 2025A] COSC2753 - Machine Learning - Group Assignment
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Last synced: 11 Jun 2025
https://github.com/oguzhansarigol/expected-goals-xg-data-analysis
We will analyze in our code the expected goal locations of football players based on which areas of the field, at what times, with which feet, using which parts of their bodies, and from which angles and distances they are most likely to score.
data-analysis-python expected-goals numpy pandas-python python
Last synced: 02 May 2026
https://github.com/abdulfatir/subkmeans
Numpy and pyCUDA implementation of subKmeans
clustering cuda kdd kmeans numpy pycuda python subspace-clustering
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https://github.com/shivendrra/Seeker
This project will help to write new scripts for YouTube videos from scratch using fine-tuned Llama-7B
ai artificial-intelligence finetuning google-custom-search-api google-custom-search-engine llama2 llm numpy pandas python pytorch react-native reactjs transformers youtube-api
Last synced: 30 Dec 2025
https://github.com/cchandre/quasiperiodic_frenkel-kontorova
Analyticity breakdown for Frenkel-Kontorova Models in quasiperiodic media
dynamical-systems frenkel-kontorova hamiltonian numpy python3 scipy
Last synced: 02 May 2026
https://github.com/deusares/drawerfunctions
A collection of PIL, Numpy and OpenCV functions to manipulate images
generative graphic image-processing numpy opencv pil pillow python
Last synced: 09 May 2026
https://github.com/a3ro-dev/weather-prediction-application
a weather prediction application built using Streamlit. The application predicts future temperatures and weather types based on past trends. It provides a sleek and intuitive user interface for input and displays the predictions dynamically.
charts mathematics matplotlib numpy plotting python python3 streamlit weather weather-app weather-forecast weatherprediction webapp
Last synced: 06 Feb 2026
https://github.com/madhuresh2011/telco-customer-churn-analysis-using-python
The analysis primarily investigates factors influencing customer churn, particularly focusing on payment methods and contract types.
csv data-analysis matplotlib numpy pandas pyhton seaborn vizualisation
Last synced: 02 May 2026
https://github.com/pfischer1687/ms-thesis
Computational Physics MS Thesis
ipython jupyter-notebook latex markov-chain matplotlib metropolis-hastings monte-carlo numpy pandas pdftex physics python scipy sympy
Last synced: 15 Mar 2026
https://github.com/back2matching/turboquant-vectors
Compress embeddings 6x instantly with TurboQuant. First pip package using Google's TurboQuant (ICLR 2026) for vector search. 71.9% recall vs FAISS PQ 13.3%.
compression embeddings faiss machine-learning numpy quantization rag turboquant vector-search
Last synced: 08 Jun 2026
https://github.com/jilliennelapid/finalproject_group53
Final Project for COP2080. Audio Graphical software that works with mono-channel .wav files and plots them in various ways.
matplotlib numpy pydub python scipy tkinter
Last synced: 14 Apr 2026
https://github.com/scorleos773/three-body-problem-simulator
Three-Body Problem Simulation - A Python-based simulation of the Three-Body Problem with both 2D and 3D visualizations. Uses `matplotlib` and `scipy` to model gravitational interactions and animate orbital trajectories. 🚀🔭
differential-equations matplotlib mplot3d newtonian-mechanics numerical-integration numpy orbital-mechanics python runge-kutta-methods scipy-integrate three-body-problem three-body-simulation
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https://github.com/moindalvs/simple_linear_regression_1
Predicting Delivery Time Using Sorting Time
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https://github.com/cchandre/rg
Renormalization for the break-up of invariant tori in Hamiltonian flows
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https://github.com/pratishtha-abrol/principlecomponentanalysis
Principle Component Analysis with Numpy and Python
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https://github.com/mirseo/pandas_learning
pandas_learning
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Last synced: 03 May 2026
https://github.com/harshitwaldia/stock-price-prediction
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dashboard flask flask-cors keras-tensorflow lstm-neural-networks machine-learning numpy react-typescript scikit-learn stock-price-prediction
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https://github.com/dhruv-26/parkease-pro
ParkEase Pro is an AI-powered smart parking system built with Python, OpenCV, MySQL, and ANPR technology. It automatically calculates parking fees, tracks entry-exit times, and detects empty spots using AI for real-time monitoring.
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https://github.com/realtristan/micronet
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https://github.com/joshi-jyoti/heart-disease-prediction
This repository contains a Python-based project for predicting the likelihood of heart disease using a Logistic Regression machine learning model. It leverages a dataset of patient medical information to train and evaluate the model, providing insights into potential diagnoses.🩺
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https://github.com/aminkhavari78/geoai-challenge-estimating-soil-parameters-from-hyperspectral-images-
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dee keras matplotlib neural-network numpy pandas seaborn
Last synced: 13 Apr 2026
https://github.com/mgobeaalcoba/matplotlib_y_seaborn
Aquí dejaré trabajos de visualización realizados con ambas librerías de Python.
data-analysis data-science data-visualization dataset matplotlib numpy pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/macagua/entrenamiento.data_scientist_python
Repositorio de manuales y recursos del entrenamiento "Data Scientist en Python" realizado por Leonardo J. Caballero G.
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Last synced: 01 May 2026
https://github.com/danhenriquex/data-science-project
The main goal of this project was to apply the concepts of data visualization and analysis.
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Last synced: 12 Apr 2026
https://github.com/nathanaelsantos/dynamic-maze-search-algorithms
Dynamic-Maze-Search-Algorithms
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Last synced: 24 Jan 2026
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Image classifier from scratch using NumPy + CNN + Transfer Learning
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Last synced: 16 Jun 2026
https://github.com/jabhij/eda_experiments
In this repo I'll use different types of datasets to explore and implement various Exploratory Data Analysis (EDA) approaches.
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Last synced: 14 Apr 2026
https://github.com/khaymanii/big_mart_prediction_model
This model was built using Python and Logistic Regression Algorithm
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https://github.com/manjillama/machine-learning-101
Introduction to machine learning, conda environment, Jupyter Notebook, Pandas, NumPy and Matplotlib.
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Last synced: 13 Apr 2026
https://github.com/jayanthsd2003/dms_sarathi_-driver-monitoring_system-
This is a project which can be seen on TATA Trucks and other premium edition cars based and focussed on the safety and monitoring driver Consciousness state
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https://github.com/abhishekyana/zframework
Z Framework for Easy Deep Learning
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https://github.com/garcane/Income-Prediction-ML
This is a machine learning project aimed at predicting whether an individual's annual income exceeds $50,000 based on their demographic and personal information.
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Last synced: 24 Oct 2025
