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/normyee/chatbot-pytorch_nlp
ChatBot utilizing neural networks, NLP techniques, and the Bag of Words model. Implements tokenization and stemming for efficient language processing.
bag-of-words chatbotai neural-network nlp-machine-learning nltk-python numpy python pytorch-nlp
Last synced: 09 May 2026
https://github.com/justin-marian/numpy-mlp
MLP from-scratch implementation only with NumPy, it supports regression and classification tasks.
classification lasso mlp numpy r2-score regression ridge
Last synced: 16 Feb 2026
https://github.com/yeonjaee/statistics
통계기초 with using python libs
matplotlib numpy pandas statistics
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https://github.com/hafidaso/predicting-industrial-machine-downtime-level-3
This project aims to develop a predictive model using machine learning techniques to forecast machine failures based on historical operational data.
imbalanced-learning numpy pandas python scikit-learn seaborn xgboost
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https://github.com/tansudasli/tensorflow-sandbox
all about machine learning
apache-arrow keras machine-learning numpy pandas scikit-learn tensorflow2
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https://github.com/zenithclown/agine
Library for finding Nearest Neighbor or to find if two points on Earth have a Direct Line of Sight.
bearing bearing-calculations distance-calculation euclidean-distance geometry haversine manhattan-distance nearest-neighbor-search numpy pandas rasterio shapely
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https://github.com/mays-m/deeplearning
In deep learning, with the help of data and training, neural networks are created and trained, which create better predictions than before with the help of neural networks.
anaconda artificial-intelligence conda-environment matplotlib neural-networks numpy pandas python3 tensorflow tensorflow-gpu transortfow-
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https://github.com/shoaib1522/credit-card-fraud-analysis
"A comprehensive project on Credit Card Fraud Detection combining Exploratory Data Analysis, Machine Learning, and an interactive Streamlit web app for real-world applicability."
eda epochs mlp-classifier neural-network numpy pandas-python perceptron-learning-algorithm python regression sckiit-learn seaborn streamlit streamlit-webapp tensorflow
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https://github.com/hygull/trypandas
A repository containing Python pandas and other data science related sources and other resources used to work with pandas, numpy, matplotlib etc.
matplotlib numpy pandas python3
Last synced: 16 Apr 2026
https://github.com/sandyherho/buku_metnum_python
Repositori ini memuat kode dan gambar yang digunakan pada buku "Pengantar Metode Numerik Terapan Menggunakan Python".
belajar-pemrograman belajar-python indonesia indonesian-language matematika-terapan matplotlib metode-numerik numerical-methods numpy python scipy
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https://github.com/magnusrodseth/disaster-tweets
📚 Assignments in the course IT3212 - Data Driven Software at NTNU. Our task is to classify whether a tweet is related to a disaster or not.
adaboost jupyter-notebook logistic-regression numpy pandas python python3 random-forest support-vector-machines xgboost
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https://github.com/jupfu/beck-view-digitalize
Digitalize 16mm films with Python & reactivex & FT232H
cython ft232h libpng multiprocessing numpy opencv python3 reactivex um232h
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https://github.com/gregoritsch3/project_spring_pendulum
A solution to the chaotic equations of motion of a spring pendulum using Lagrangean mechanics integrated through symbolic and numeric Python libraries (Sympy, Numpy, Scipy, Matplotlib, etc.).
lagrangian-mechanics maptlotlib numpy python scipy spring-pendulum sympy
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https://github.com/hemanthsaikumarbethapudi/last-mile_delivery_optimization.py-
This project implements an AI-powered last-mile delivery optimization system using Python. It leverages graph-based route optimization, demand prediction, and cost analysis to improve delivery efficiency in urban areas.
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https://github.com/sawaira-iqbal/data-visualization-project-on-car-sales-data
Explore Sales Data Visualization with Interactive Charts & Insights! 📊 Uncover trends and patterns to drive smarter automotive decisions.
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https://github.com/dina-hosny/investigate-a-dataset-project
Investigate a Dataset project - Udacity Data Analysis Professional Track. In this project, I used the Python libraries NumPy, Pandas and Matplotlib to analyze a dataset and communicate my findings about it.
csv data-analysis jupyter-notebook matplotlib numpy pandas python
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https://github.com/archish27/pythontutorial
Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications
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https://github.com/jeniljani-4444/end-to-end-car-price-prediction-model
Predict car prices effortlessly using this machine learning model. Built with Python and Scikit-learn it analyzes features like mileage age brand and more to estimate accurate prices. Perfect for buyers sellers and dealerships.
machine-learning matplotlib numpy pandas python scikit-learn seaborn streamlit
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https://github.com/omogbolahan94/lego-analysis
Analysis of LEGO data from 1949 to 2021.
Last synced: 09 May 2026
https://github.com/misszeferino/us-traffic-accidents-analysis
Exploratory Data Analysis using Python
data-analysis matplotlib numpy pandas python seaborn
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https://github.com/michaelgermini/python-3d-programming-book
Complete Python & 3D Programming Book: 30 chapters, 120+ examples, real-time ray tracing, ML graphics, OpenGL, NumPy
3d-graphics computer-graphics educational game-development graphics-programming machine-learning numpy opengl python ray-tracing tutorial
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https://github.com/littie28/hazy-frames
Hierarchical coordinate frames - crystal clear transforms
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https://github.com/gkamboj/image-features-extractor
Detect object in any image along with its features like color, etc.
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Last synced: 16 Apr 2026
https://github.com/bishopce16/school_district_analysis
The school board requested an analysis on the various performance metrics for the school district.
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https://github.com/andydevs/optipy
Optimization algorithms written in python
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https://github.com/asuquoaa/big_4_sports_teams_and_city_population_analysis-2018-
Analysis of sports teams' win/loss ratios vs. metro area populations across NFL, NBA, MLB, and NHL.
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https://github.com/balakrish001/python-course
The Python course provides a thorough foundation in Python programming, starting with core concepts and progressing to OOP. It covers essential libraries like NumPy and Pandas for data manipulation and analysis. You'll also learn how to send emails using Python's SMTP library and interact with APIs for real-world applications,
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https://github.com/priyanshul28/ml_eda_regression_energyconsumptionforecasting
An EDA and Machine Learning Time-Series Regression Forecasting exercise on the PMJE Energy Consumption dataset demonstrating time-series analysis and the use of Time-Series Split, XGBoost, etc. The model is optimized using hyperparameter tuning through GridSearchCV. A Rob Mulla guided exercise.
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https://github.com/ankman007/python-100-days-of-code
Daily logs of my progress and mini-projects made over the course of this challenge
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https://github.com/kunalshelke90/wine-quality-testing
This project is about creating a machine learning algorithm that can predict the quality of wine based on the given dataset. Different machine learning algorithms such as logistic regression, decision tree and random forest are used in this project.
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https://github.com/giacomolat/classification-of-exotic-fruits
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https://github.com/miozilla/treebasedmodel
treebasedmodel :evergreen_tree::airplane::dancer: : Invistico Airline | Tree-based Modeling, Machine Learning (ML), Predictive, Decision Making, GridSearchCV, sklearn |
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https://github.com/eesunmoon/data_analysis
Data Analysis
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https://github.com/gmcgibbon/udacity-dlnd-project-1
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https://github.com/vaishnavis03/finlatics_ml_program
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https://github.com/defi0x1/facial-expression-recognition
Facial-Expression-Recognition Using CNN
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https://github.com/mattkevan/data-science
Notes from learning various data science topics.
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https://github.com/nathadriele/ifood-data-governance-pipeline
Este projeto demonstra uma solução completa de Data Governance com foco em qualidade, rastreabilidade, segurança e conformidade com LGPD. Utiliza tecnologias modernas como Streamlit, Airflow, dbt e Pydantic para implementar um ecossistema funcional e interativo com dashboard de governança de dados.
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https://github.com/akshitvats026/heart_disease_prediction
An ML-based Heart Disease Prediction System that predicts the likelihood of heart disease based on user health parameters. Built using Python, Pandas, and Scikit-learn, the system performs data preprocessing, trains a predictive model, and provides real-time predictions with high accuracy.
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https://github.com/amanimagdi/data-flux-fullstack
This repository is for a full stack application provides in-depth analysis and manipulation of various data types (tabular data, RGB images and textual data), Flask on BE and ReactJs on FE.
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https://github.com/mpbeatriz/santander_coders_2024
Repositório dos exercícios e projetos do curso de Engenharia de Dados da Ada em parceria com o Santander (em andamento).
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https://github.com/davityak03/basics-of-python-
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https://github.com/loong64/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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https://github.com/prajapatsur/data-analytics-1
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https://github.com/renan-siqueira/reinforcement-learning-cart-pole
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https://github.com/prashver/end-to-end-model-deployment-on-aws
Student Performance Analysis with Machine Learning analyzes factors impacting student outcomes using a robust machine learning pipeline. Achieving an impressive R2 score, it predicts student performance effectively. With extensive data preprocessing and deployment on AWS Elastic Beanstalk, it ensures scalability and high availability.
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https://github.com/harmanveer2546/nasa-asteroid-classification
Classifying whether an asteroid is hazardous or not.
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https://github.com/kane-dylan/spamshield
SpamShield
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https://github.com/nickklos10/compressive-strenght-prediction
This project predicts concrete compressive strength using a neural network regression model built with Keras.
jupyter-notebook keras matplotlib numpy pandas python scikit-learn
Last synced: 10 Apr 2026
https://github.com/tharushi11/titanic-data-analysis
This repository contains a simple prediction model and survival predictions based on the Titanic dataset from Kaggle, along with detailed visualizations using Power BI.
dax machine-learning numpy pandas powerbi sklearn titanic-survival-prediction visualization
Last synced: 17 Apr 2026
https://github.com/christiemj/clock-drift-simulation
A Monte Carlo simulation in Python to model vacuum-induced frequency drifts in atomic clocks, with code and visuals (experimental setup, simulated vs. real-world comparison, and drift graph), as described in "Probing Vacuum-Induced Clock Drifts via Quantum Metrology: A Testable Hypothesis" (DOI: 10.5281/zenodo.15163879). Licensed under GPL 3.0.
allan-variance atomic-clocks cesium-ion clock-drift matplotlib monte-carlo-simulation numpy open-science pandas physics precision-metrology python quantum-metrology research-software scipy simulation vacuum-fluctuations vacuum-noise
Last synced: 17 Apr 2026
https://github.com/nikhilsree5/aerofitcasestudy
Customer Profiling and Market Segmentation for AeroFit Treadmills: A Data-Driven Approach
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https://github.com/theakashshukla/diabetes-prediction
Diabetes Prediction using futuristic tool
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Last synced: 17 Apr 2026
https://github.com/tashi-2004/deep-learning-grid-world-q-learning
Deep Learning Grid World Q-Learning . Implement Q-learning in a 5x5 grid where an agent navigates obstacles and rewards. Train the agent with varying learning rates, visualize its progress, and see Q-values as heatmaps. Run the script to start training and view results. Contributions are welcome!
agent-based-modeling artificial-intelligence deep-learning deep-q-learning exploitation exploration machine-learning machine-learning-algorithms matplotlib-pyplot numpy python q-learning q-learning-algorithm reinforcement-learning reinforcement-learning-algorithms state-value-function training
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https://github.com/prahaladhchandrahasan/object-localization
this is a blue colour detector in keras and tensorflow
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Last synced: 17 Apr 2026
https://github.com/mgitrov/cnn-on-cifar-10
A computer vision project aiming to classify random images uploaded by the user.
artificial-neural-networks computer-vision convolutional-neural-networks deep-learning keras matplotlib numpy pil regularization tkinter
Last synced: 17 Apr 2026
https://github.com/abhirajp595/python
Data Science Project using Python
data-analysis data-science data-visualization eda jyputer-notebook numpy pandas statistics
Last synced: 08 May 2026
https://github.com/hariprasath-v/machinehack_intel_oneapi_hackathon_the_llm_challenge
Generate a response for the question from pre-defined text using LLM(Extracted Question-Answering(QA) Model).
accuracy exploratory-data-analysis extractive-question-answering huggingface machine-learning matplotlib nlp nltk numpy pandas python seaborn sklearn spacy spellchecker wordcloud
Last synced: 10 Apr 2026
https://github.com/mnitin-reddy/content-based-recommendation-system-using-deep-learning
A content-based movie recommendation system using deep learning to predict user ratings by leveraging user and movie features. The system integrates neural networks for feature extraction, utility scripts for data processing, and supports both new and existing user recommendations.
deep-learning keras neural-networks numpy pandas python scikit-learn tensorflow
Last synced: 03 Apr 2026
https://github.com/abideen-olawuwo/wholesale_customer_data
An unsupervised learning model
clustering machine-learning matplotlib numpy pandas scipy seaborn sklearn
Last synced: 09 Apr 2026
https://github.com/varakanthamsaihruthikreddy975/champo_carpets_case_analysis_python
the champo carpets case study Analysis in python, this is still under development this will be a more comprehensive analysis than previous one in R. I have the complete version of code in R refer to this link - ( https://github.com/VarakanthamSaiHruthikReddy975/Champo_Carpets_Case_Study_Analysis)
case-analysis jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python3 seaborn
Last synced: 17 Apr 2026
https://github.com/sadegh-khedry/comments-sentiment-analysis
text classification on comments using an ANN model.
collections deep-learning keras nlp numpy pandas python sentiment-analysis sklearn spacy unicodedata
Last synced: 04 Apr 2026
https://github.com/abhijeet107/superstore-sales-data
Many more to come stay tune
matplotlib numpy pandas python3 seaborn-python
Last synced: 17 Apr 2026
https://github.com/rtmigo/skifts_py
Search for the most relevant documents containing words from a query. Uses Scikit-learn and Numpy
cosine-similarity information-retrieval numpy python scikit-learn text-mining tf-idf
Last synced: 19 Aug 2025
https://github.com/harmanveer-2546/covid-19-chances-detection
The main goal of this project is to build a machine learning model that, given a Covid-19 patient's current symptom, status, and medical history, will predict whether the patient is in high risk or not.
covid-19 covid-data logistic-regression matplotlib mlp-classifier numpy pandas python random-forest seaborn sklearn-library xgboost
Last synced: 10 Apr 2026
https://github.com/lexxai/goit_python_ds_hw_01
GoIT, Python Data Science, Homework number 1.
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Last synced: 18 Apr 2026
https://github.com/27ahmad/movie-recommendation-system
Welcome to the Movie Recommendation System! This project uses Streamlit to provide personalized movie recommendations based on user preferences and similarity.
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Last synced: 04 Apr 2026
https://github.com/ahsouza/timenow
API Laravel & SPA Vue.JS containerized
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Last synced: 04 Apr 2026
https://github.com/thoughtscript/python_api_2023
Some fun with Flask, Python, and Machine Learning
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https://github.com/bvsam/nnfs
Basic neural network built using Python and Numpy. Created to better understand neural networks.
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Last synced: 18 Apr 2026
https://github.com/gregoritsch3/ml_clustering_eda_customersegmentation
An EDA and Machine Learning Clustering exercise on the Mall Customer Segmentation synthetic dataset demonstrating the use of KMeans Clustering and the Elbow Method. The clustering algorithm successfully segments the customer base into groups distinguishable by their annual income and spending score.
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https://github.com/cyberoctane29/epa-air-quality-aqi-analysis
This project involved analyzing air quality data from the EPA, focusing on the Air Quality Index (AQI). I used Python data structures like dictionaries and sets to manage and process the data, simulating real-world data analysis to assess pollution levels and their health implications.
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Last synced: 10 Apr 2026
https://github.com/omogbolahan94/nobel-prize-winner-analysis
Data exploration, cleaning, visualization and presentation
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https://github.com/subhamsarangi/ml
Machine Learning
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https://github.com/ricardorobledo/spamemailclassification
Spam email classification using machine learning (Random Forest, SVC, Logistic Regression, etc.) with data balancing techniques (SMOTE, BorderlineSMOTE, ADASYN). Final calibrated Random Forest model achieves ROC-AUC 0.982 and PR-AUC 0.979 on the Spam Email Classification dataset.
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https://github.com/ricardorobledo/next_level_data_science
matplotlib numpy pandas python3 scikit-learn
Last synced: 05 Apr 2026
https://github.com/murugavl/flower-prediction
Flower Prediction is a machine learning project that uses the Iris dataset to classify iris flowers into three species: Setosa, Versicolor, and Virginica. The project includes data analysis, model training with various algorithms, and deployment via a Flask web application for user-friendly predictions.
flask machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 05 Apr 2026
https://github.com/iv4n-ga6l/titanic-survival-prediction
a predictive model in Python that answers the following question: “using data relating to passengers (name, age, gender, socio-economic class, etc.), who has the greatest chance to survive?"
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Last synced: 18 Apr 2026
https://github.com/rafagomezguillen/data-science-python
Data Science and Python notes
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Last synced: 18 Apr 2026
https://github.com/manalisbhavsar/mall-customers-clustering
K-Means clustering to mall customer data, segmenting customers based on their annual income and spending score. To identify patterns and group customers for targeted marketing.
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Last synced: 18 Apr 2026
https://github.com/alexkhype/04python-carpricepredictor
Modelo de machine learning para predecir el valor de mercado de autos usados, optimizando precisión y eficiencia.
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Last synced: 05 Apr 2026
https://github.com/ben854719/nvidia---gen-ai-
The goal of the project is to analyze and predict with the use of AI for the revenue of Nvidia
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Last synced: 05 Apr 2026
https://github.com/grantgasser/task3
Multiclass Classification
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https://github.com/lexxai/goit_python_ds_hw_04
Модуль 4. Класифікація та оцінка роботи моделі. Лінійна регресія: перенавчання та регуляризація
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https://github.com/kenatsf/basic_data_analysis
Basic data science project: ETL, forecast and data visualization.
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Last synced: 05 Apr 2026
https://github.com/paulo-santos-ds/visao_computacional
O sistema utiliza inteligência artificial para analisar documentos e características físicas dos visitantes, garantindo que apenas maiores de 18 anos possam acessar as áreas de jogos
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Last synced: 05 Apr 2026
https://github.com/faraazarsath/guvi-task-4
This repository contains Python scripts for assessing and categorizing student performance data from two CSV files. The tasks include categorizing students based on their CodeKata scores.
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https://github.com/iv4n-ga6l/object_detection_with_background_substractor
Object Detection and Tracking with OpenCV background subtractors
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https://github.com/rahuls-1106/dataspark
DataSpark is a powerful analytics project transforming raw retail data into actionable insights for Global Electronics. By leveraging Python, SQL, and interactive visualizations, it uncovers trends in customer behavior, sales performance, and product popularity, driving smarter business decisions and boosting growth.
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Last synced: 18 Apr 2026
https://github.com/erikaax08/numerical_methods
This repository hosts the project developed for the Numerical Methods class at the Benemérita Universidad Autónoma de Puebla (BUAP)
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https://github.com/amdjadouxx/my_neural_network
implementation of a neural network library
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