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/doonse/ml-handwritten
Neural Network which recognize numbers from images of size 8x8. Done using NumPy.
handwritten-digit-recognition machine-learning-algorithms neural-network numpy
Last synced: 15 May 2026
https://github.com/dhirajmerit/diabetes-prediction-models
This project implements multiple machine learning algorithms to predict diabetes diagnoses based on medical diagnostic data. The project compares the performance of various models, providing insights into which algorithms are most effective for this task.
ai machine-learning numpy pandas tensorflow
Last synced: 11 Apr 2026
https://github.com/azaz9026/loan_approval_prediction
Welcome to the Loan Approval Prediction repository! This project aims to build a predictive model that can determine whether a loan application should be approved or denied based on various features. Purpose The goal of this repository is to develop a machine learning model that can accurately predict loan approval decisio
data data-analysis data-visualization eda machine-learning numpy pandas python statistics
Last synced: 06 Apr 2026
https://github.com/sc0v0ne/blueflix
Simple Application Recommend Movies and Tv Shows
csv k-means k-means-clustering kaggle movies numpy pandas python recommends-movies sklearn streamlit
Last synced: 10 Apr 2026
https://github.com/iv4n-ga6l/simple-image-segmentation
Simple implementation of image segmentation using the Watershed algorithm
imagesegmentation matplotlib numpy opencv python watershed-algorithm
Last synced: 13 May 2026
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/emv271828/calculadora-rpn
Calculadora com notação polonesa reversa desenvolvida em python
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https://github.com/prakharagr2001/whatsappchatanalyzer
WhatsAppChat Analyzer is a Python-powered website leveraging the capabilities of NumPy, Pandas, and Streamlit. It provides comprehensive analysis of WhatsApp conversations, extracting valuable insights and statistics for a user-friendly interpretation of chat data.
chat-analysis data-visualization numpy pandas python streamlit whatsapp-chat
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https://github.com/skmirajulislam/yolov3-object-tracker
OBJECT DETC YOLO DEEP LEARNING MODEL
convolutional-neural-networks cv2 numpy python3 yolov3
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https://github.com/hansalemaos/numpyslicesplit
Splits a numpy array or a list based on the given indices or ranges and returns the split arrays.
Last synced: 16 Feb 2026
https://github.com/rushilsharma1/iphonesales_eda
An exploratory data analysis of an Iphone sales in jupyter notebook with the help of python and its libraries
data-science exploratory-data-analysis jupyter-notebook numpy pandas python seaborn
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https://github.com/olfabelhadj/detection-de-faux-billets-avec-python
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matplotlib-pyplot numpy pandas pickle plotly prediction-model python scipy seaborn sklearn
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useful-math-functions for Optimization, Benchmarking, Visualizing, and more ...
basic functions math mathematics numpy
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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
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https://github.com/vetrivel07/flight-price-prediction
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Análise exploratória dos Top 1000 filmes no IMDB até 2020
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introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera
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This OpenCV course is highly recommended for individuals seeking an introductory experience in Computer Vision and AI, and who wish to establish a strong foundation for their career development.
cnn-classification computer-vision cv2-library deeplearning-ai numpy opencv pytorch rnn-tensorflow
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https://github.com/jhonatanthiago/projeto_analise_de_dados_com_python
A empresa contratou você para analisar dados de mais de 800 mil clientes, a maioria dos quais são inativos, ou seja, já cancelaram o serviço. O objetivo é entender os principais motivos desses cancelamentos e identificar as ações mais eficazes para reduzir esse número.
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https://github.com/vrush9840/emotion-detection-from-tweets-using-dl
Emotion detection from tweets using Deep Learning (LSTM & BERT) to classify emotions such as Positive, Negative, Neutral, and Irrelevant with emoji recommendations.
glove-embeddings lstm matplotlib nltk numpy pandas python seaborn shap tensorflow
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https://github.com/nirmit27/credit-risk-modeling
Classification and regression models for predicting the level of risk associated with extending credit to a borrower and the basic EPS amount respectively.
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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.
css3 docker flask html5 javascript matplotlib nltk numpy pandas python scikit-learn seaborn tailwindcss xgboost
Last synced: 02 Apr 2026
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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
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Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.
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https://github.com/achmadhadikurnia/numpy-from-zero
My journey of learning NumPy from scratch.
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🌡️ 2100년까지의 지구 기온, 해수면, 북극 빙하, 탄소 예측 ML [완료]
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Udacity Data Analysis Nano Degree course resources
jupyter-notebook matplotlib numpy pandas python
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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/eesunmoon/genai_cor-recom
[Project] Outfit Coordination Recommender System using KoAlpaca
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https://github.com/bharath-tars/deeptumor
DeepTumor is a project aimed at developing a deep learning model with over 1 million parameters using TensorFlow. with automatic reporting feature
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https://github.com/gkannan-codes/habitableexos
With Earth’s habitability under strain, we ask: which known exoplanets could humans live on? Using NASA’s Exoplanet Archive, we score planets 0–1 (1 ≈ Earth) from five Earth-normalized features to rank top candidates.
data html kaggle matplotlib-pyplot numpy pandas plotly python seaborn visualization
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https://github.com/ashishsingh789/traffic_accident_analysis
Analyzed traffic accident data to identify patterns related to road conditions, weather, and time of day. Visualized accident hotspots using heatmaps and bar plots.
excel matplotlib numpy pandas pandas-dataframe python seborn
Last synced: 11 Apr 2026
https://github.com/paulo-santos-ds/previsao_total_corridas_taxi
Foi desenvolvido um modelo preditivo específico para atrair mais motoristas durante o horário de pico. Prever a quantidade de pedidos de táxi para a próxima hora.
matplotlib-pyplot numpy pandas python seaborn sklearn statsmodels
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https://github.com/pramodyasahan/car-safe-predictor
This repository contains a machine learning project that applies the K-Nearest Neighbors (KNN) classification algorithm to predict car safety ratings. The project uses a dataset of cars, with features such as buying price, maintenance cost, number of doors, persons, lug boot size, and safety.
classification k-nearest-neighbours machine-learning numpy pandas scikit-learn
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https://github.com/lfgodoi/rpm-deep-guesser
A deep learning-based RPM estimator based on spectral features extracted from vibration signals of rotating machines.
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
Last synced: 06 Apr 2026
https://github.com/priyanshii1511/predicting-customer-churn
Data Science mini project
confusion-matrix data-science machine-learning matplotlib numpy pandas plotly python seaborn sklearn
Last synced: 06 Apr 2026
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
Last synced: 06 Apr 2026
https://github.com/abhi227070/wine-quality-prediction
The Wine Quality Prediction project utilizes machine learning to assess wine quality based on various parameters. It offers a user-friendly interface built with Streamlit for easy interaction. Deployed on AWS, it provides scalable access to quality predictions for wine batches.
classification-algorithm machine-learning machine-learning-algorithms machinelearning matplotlib numpy pandas python3 seaborn
Last synced: 11 Apr 2026
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/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/alyssonmach/machine-learning-com-python
Aplicações de Machine Learning usando a linguagem de programação Python.
ia keras-tensorflow machine-learning matplotlib numpy pandas programming python scikit-learn scipy
Last synced: 10 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.
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https://github.com/yhunlu/data-analysis
Data Analysis
matplotlib numpy pandas seaborn
Last synced: 01 May 2026
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/lorenzorottigni/ml-ecommerce
Machine Learning python bootcamp: linear regression on ecommerce dataset
ipynb linear-regression machine-learning numpy pandas python scikit-learn seaborn
Last synced: 07 Apr 2026
https://github.com/allanotieno254/pneumonia-xray-classification
This project is a Deep Learning-based Pneumonia classification system that allows medical staff to upload chest X-ray images and quickly determine whether a patient shows signs of pneumonia.
keras machine-learning numpy pandas pil pillow python streamlit streamlit-webapp
Last synced: 10 Apr 2026
https://github.com/yashsonaar/data-science-projects
Repository about all the projects of Data Science 📄
classification data-science jupyter-notebook machine-learning matplotlib numpy pandas prediction python scikit-learn testing visualization
Last synced: 05 Apr 2026
https://github.com/anuppm9917/super-store-sales-analysis-power-bi-project
My drive to know which products, regions, categories and customer segments a company should target or avoid, I search and selected an appropriate dataset on kaggle which will match a standard superstore requirement.
data data-analysis data-visualization datacleansing excel exploratory-data-analysis jupyter-notebook numpy pandas plotly powerbi python3
Last synced: 10 Apr 2026
https://github.com/davityak03/customer-churn-model-using-ann
ann elu keras leaky-relu matplotlib-pyplot numpy pandas prelu python seaborn
Last synced: 10 Apr 2026
https://github.com/justinzhang17/comp-5801-queens
Reinforcement learning task of teaching an agent to play the game queens/star-battle
Last synced: 15 May 2026
https://github.com/ngangawairimu/automating_farming_analysis
This project automates farming in Maji Ndogo, analyzing soil fertility, climate, and geography to recommend optimal crop locations. Python-based data analysis I uncovers patterns guiding farming practices.
matplotlib-pyplot numpy pandas python seaborn sqlite
Last synced: 10 Apr 2026
https://github.com/erolnebioglu/numpy-basics
Python-Numpy
numpy numpy-arrays numpy-tutorial
Last synced: 08 May 2026
https://github.com/ai-lenok/moex-analyzer
A simple engine for analyzing Moscow Exchange securities
docker matplotlib numpy pandas python3
Last synced: 09 May 2026
https://github.com/gilevatanya/yandex-practicum-projects
Кейсы решенные на курсах Яндекс Практикума.
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/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/sgb31/csv-retrival-based-rag
Created a simple RAG system that lets users upload any CSV file and ask questions about it. It reads the data, finds the most relevant info, and uses an LLM to answer the query. Super handy for quickly exploring and understanding data through natural language.
generative-ai llm numpy pandas pydantic python3 sentence-transformers sklearn streamlit transformers
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https://github.com/bearddan2000/python-web-3d-matplotlib-surface-graph
A demo of creating a 3d surface graph.
3d graph matplotlib numpy pandas python surface web
Last synced: 10 Apr 2026
https://github.com/cartabinaria/calcolo-numerico
Una raccolta di risorse per l'insegnamento di Calcolo numerico (02023) del Corso di Laurea in Informatica.
course maths numerical-methods numpy scipy uni
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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.
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https://github.com/rlxchap2/crypto-miner
🔨Crypto Miner is a Python project designed to encrypt and decrypt files, especially images, using the powerful cryptography library
crypto cryptography csv numpy pillow python
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https://github.com/ksasi/customer_segments
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https://github.com/sadegh-khedry/titanic-survival-prediction
Predicting Titanic survival using neural networks.
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https://github.com/bearddan2000/python-web-3d-matplotlib-contour-graph
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https://github.com/giacomolat/realestateai-solutions---a-forecasting-model-for-the-housing-market
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https://github.com/anibalalpizar/python-machine-learning-example
This code reads and preprocesses a dataset for classification using pandas, numpy, matplotlib and scikit-learn. The dataset is split into three parts for training, validation and testing. The data is then scaled and optionally oversampled for balanced classes.
machine-learning matplotlib numpy pandas python scikit-learn
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https://github.com/reshmaaiman/fifa
FIFA20
data data-science data-visualization dataanalysisusingpython github jupyter-notebook matplotlib numpy pandas python seaborn-python
Last synced: 10 Apr 2026
https://github.com/amruta33/heart_disease_prediction
predict whether a person has a heart disease or not.
classification decision-trees gridsearchcv heart-disease hyperparameter-tuning male-female numpy pandas
Last synced: 30 Mar 2025
https://github.com/vijaykumarr1452/startup_success_predictor
This project demonstrates the use of Multiple Linear Regression to predict the profits of startups based on investment in R&D, Administration, and Marketing of dataset (50_Startups.csv)
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Last synced: 10 Apr 2026
https://github.com/patilsukanya/assignment-3-hypothesis-testing
Used libraries and functions as follows:
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Last synced: 10 Apr 2026
https://github.com/hitthecodelabs/weatherforecast-lstm
TensorFlow and Python for analyzing and forecasting weather data
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Last synced: 11 Apr 2026
https://github.com/jol79/python_exercises
Solving interesting python exercises on different topics
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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/anas436/cars-price-pediction-evaluation-and-refinement-using-python
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Last synced: 11 Apr 2026
https://github.com/ryan-bendelson/2024-summer-research
This is Python code that I worked with during my summer 2024 research project involving quantum physics.
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https://github.com/sahil210695/gradient-descent
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https://github.com/shwetajanwekar/hr-data-analytics
Analyze the HR data through exploratory data analysis, we identified key factors influencing employee attrition, satisfaction levels, and performance. Machine learning models enabled us to predict employee churn and classify potential candidates for promotion.
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