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/juzershakir/train_a_smartcab_to_drive
From just cab, to Smart-Cab
cogsci decay-rate epsilon machine-learning machine-learning-algorithms machine-learning-tutorials matplotlib numpy pandas pygame python27 q-learning reinforcement-learning smartcab training udacity-nanodegree visualization
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https://github.com/bhuvantenguria/adobe-gensolve
Adobe-Gensolve
cv2 dotenv firebase-admin flask numpy pandas python react svgpathtools svgwrite
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https://github.com/chirindaopensource/search_benford_law_compatibility
End-to-End Python scalable forensic accounting toolkit implementing Benford's Law analysis for FTSE financial data. Delivers automated anomaly detection with Chi-Squared/MAD testing, comprehensive validation pipelines, and risk-based prioritization of investigative resources. Replicates Ausloos et al.'s (2025) methodology with full reproducibility.
academic-research anomaly-detection benfords-law chi-squared-test data-validation econometrics financial-analysis financial-data forensic-accounting fraud-detection ftse goodness-of-fit jupyter-notebook numpy pandas python reproducible-research risk-management scipy statistical-testing
Last synced: 12 Apr 2026
https://github.com/kriss024/python
Python for Data Science
anaconda anaconda3 data-science jupyter-notebook lightgbm machine-learning numpy opencv pandas python3 sklearn tensorflow2 xgboost
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https://github.com/bilgenurbekar/turkishcyberbullying
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bert-fine-tuning huggingface-transformers matplotlib numpy pandas python pytorch scikit-learn transformers
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https://github.com/atul-maurya-30/galaxy
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flask machine-learning matplotlib numpy pandas python regression-classification seaborn sklearn
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https://github.com/satyacoder29/crm-analytics-power-bi
CRM Analytics Dashboard – An interactive dashboard using Tableau, SQL, and Salesforce CRM Analytics (CRMA) to analyze sales performance, customer segmentation, and churn prediction. Features automated ETL pipelines, predictive analytics, and real-time insights for data-driven decision-making. 🚀📊
advanced-excel data-analysis data-cleaning data-collection data-transformation data-visualization matplotlib numpy pandas powerbi python seaborn sql tableau
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https://github.com/luliatuccu/weather_analysis
This project highlights a combination of data science techniques and Python programming to explore real-world weather data.
data-preprocessing eda feature-engineering machine-learning matplotlib numpy pandas regex scikit-learn seab seaborn weather weather-patterns
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https://github.com/zombietdv/hm_gpt_v1.0
Homemade GPT( not that good ).
attention-mechanism backpropagation deep-learning numpy
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https://github.com/hellymodikalpesh/numpy
This repository is designed as a comprehensive resource for learning the NumPy library. It covers nearly all functions and features of NumPy, providing a thorough exploration of its capabilities for numerical computing and data analysis.
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https://github.com/adriantomin/bulldozer-price-prediction
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data-science jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn
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https://github.com/jsd115/tensorflow_bankfrauddetection
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data data-analysis data-engineering data-science data-visualization datascience ipynb ipynb-jupyter-notebook ipynb-notebook numpy pandas python python3
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https://github.com/bedirk/portfolio-projects
Data Analytics Portfolio Projects
dataanalysis excel mssqlserver numpy pandas powerbi python sql tableau
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ipython jupyter latex markdown mathplotlib numpy pandas scikit sympy
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folium-maps heatmap-visualization numpy pandas ploty python stadistics streamlit
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https://github.com/sa001gar/password-manager-on-the-top-of-streamlit
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bcrypt gui-application mongodb numpy numpy-library pandas-dataframe pandas-library pandas-python password-generator password-manager pymongo python python3 streamlit-application streamlit-webapp urllib
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Учебные проекты из Яндекс Практикума "Специалист по Data Science+"
catboost computer-vision data-science deeplearning mashinelearning matplotlib nlp-machine-learning numpy pandas scipy seaborn sklearn sql torch tsf
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https://github.com/matheusafonseca/c213-trabalho-1
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matplotlib numpy pid-controller python scypi streamlit
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https://github.com/hercules-peters/learn-ml-with-me
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machine-learning numpy pandas python sklearn
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This AI-powered project detects faces and predicts age & gender from images or video streams using OpenCV and deep learning. 🧠💡 🔹 Face Detection 👀 🔹 Gender Classification 🏷️ (Male/Female) 🔹 Age Estimation 📊 (from predefined age groups) 🔹 Live Video & Image Support 🎥🖼️
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https://github.com/chandkund/sentiment-analysis-on-movie-reviews
Project on Sentiment Analysis of Movie Reviews using K-means clustering. This project clusters movie reviews based on their sentiment scores to understand audience reactions. Includes data preprocessing, feature selection, model development, and visualization.
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Classifying images of rice leaf disease plants into various disease categories using Convolutional Neural Network
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base64 beautifulsoup class exception-handling hashlib json jwt-authentication loops matplotlib nltk numpy pandas python2 python27 python3 requests searching time-complexity urllib urllib2
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https://github.com/sarowarahmed/advertising-sales-app
📈 Advertising Sales Predictor: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to forecast sales based on TV, Newspaper, and Online Advertising. Deployed on Streamlit Cloud for real-time, easy-to-use predictions.
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Python Data Science Program — 197 clases en 9 partes. Pauta avanzada derivada de Géron, VanderPlas, Huyen, ISLP y Barocas/Hardt/Narayanan. Recurso personal de aprendizaje, enseñanza y mejora continua.
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This is Mobile Based Spectrometer
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This repository contains a Python program that simulates the spread of COVID-19 using Numpy and Matplotlib for calculations and visualization. The simulation offers an interactive way to understand virus dynamics and the impact of epidemiological parameters.
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Statistical tools help you clean and organize your data. You can identify outliers, manage missing values, and ensure your data is in a format that the ML algorithms can understand.
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Hello World to Neural Network.
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machine learning jupyter notebooks | data-science | priority | relevant | significant | green-light | 1 | may-2023-filtered | may-2023-filtered-2 | may-2023-filtered-3 | filtered-4 | frequent
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https://github.com/shwetapardhi/assignment-2-set1-q1-basic-statistic-level-2
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boxplot matplotlib-pyplot mean numpy pandas pie-chart python seaborn standard-deviation variense
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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
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linear-regression machine-learning matplotlib-pyplot ml numpy pandas polynomial-regression projects scikitlearn-machine-learning support-vector-regression
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https://github.com/jessicahora/studies-on-linear-algebra
Repositorio com Estudos sobre Algebra Linear.
linalg linear-algebra matplotlib-pyplot matrix numpy python scipy
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imbalanced-learning numpy pandas python scikit-learn seaborn xgboost
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https://github.com/tansudasli/tensorflow-sandbox
all about machine learning
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Customer Analytics
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https://github.com/urvee1810/air-quality-prediction-using-arima
Analyzed Beijing's air quality data using time series analysis and ARIMA modeling to forecast PM2.5 pollution levels. Identified seasonal patterns and correlations between pollutants, revealing insights into urban air quality trends and potential contributing factors.
arima-model dickey-fuller-test matplotlib numpy pandas python seaborn statistical-analysis time-series-analysis
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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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decision-trees ipython matplotlib numpy pandas plotly python random-forest seaborn sklearn smote
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https://github.com/eljandoubi/breakout-strategy
Implementation of the Breakout Strategy
breakout numpy pandas scipy trading-algorithms trading-strategies training
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https://github.com/asadiahmad/image-enhancement
Image Enhancement with OpenCV Numpy and MatPlotLib
gamma-correction image-enhancement image-processing matplotlib numpy opencv python roi-selection
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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
Last synced: 16 Apr 2026
https://github.com/iankitnegi/python_projects
Data Analyst Toolkit: A comprehensive collection of Python scripts and notebooks designed for data analysis tasks. Features data cleaning, visualization, statistical analysis, and machine learning models. Ideal for analysts seeking efficient, reproducible workflows.
matplotlib numpy pandas python seaborn
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https://github.com/shreeparab1890/indian-cricketer-classifier
This notebook is trying to bulia a model which will predict a Indian Cricketer based on the given image. In this project we have handled 8 Indian Cricketers and build a model to classify the given image between this 8 Cricketers.
image-classification matplotlib numpy opencv pandas python random-forest-classifier scikit-learn sklearn streamlit
Last synced: 01 Apr 2026
https://github.com/laurencewarne/eratosthenes
Random implementations of the sieve of Eratosthenes
algorithm eratosthenes numpy python3
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https://github.com/dellano54/extreme-matmul
fastest matmul operation than numpy for intel CPU (xeon)
matmul matrix matrix-library matrix-multiplication numpy numpy-arrays numpy-library numpy-matrix pytorch pytorch-implementation pytorch-lightning
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https://github.com/sundanc/besthousefinder
A Streamlit web application that helps users find the best house based on their preferences.
numpy pandas prediction python streamlit
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https://github.com/syedzaheerabbas/risk-analytics-with-python
This project focuses on developing a basic understanding of risk analytics in banking and financial services and understand how data is used to minimize the risk of losing money while lending to customers.
eda hypothesis-testing numpy pandas python risk-analysis seaborn
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https://github.com/shashwat9kumar/us-accidents-data-analysis
Analysis of the US accidents using the US-Accidents dataset (4.2 million entries) from Kaggle
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https://github.com/akshitvats026/heart_disease_prediction
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https://github.com/amanimagdi/data-flux-fullstack
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flask javascript numpy pandas python reactjs tailwindcss
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https://github.com/niteshchawla/clustering-ml
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https://github.com/orliluq/inmersion-datos-python
Desarrollar modelos de machine learning para predecir la probabilidad de incumplimiento crediticio de los clientes, utilizando diferentes algoritmos de clasificación (Regresión Logística, Árboles de Decisión, Random Forest, Naive Bayes).
colab-notebook numpy pandas python scikit-learn
Last synced: 02 Apr 2026
https://github.com/harmanveer2546/nasa-asteroid-classification
Classifying whether an asteroid is hazardous or not.
eda matplotlib numpy pandas python seaborn visualization xbgoost
Last synced: 02 Apr 2026
https://github.com/khushi130404/binning-binarization
This project demonstrates binning and binarization on the Titanic dataset, comparing results with and without numeric encoding. Visualizations highlight the transformations and their impact on survival analysis.
binarization binarizer binning columntransformer decision-trees matplotlib numpy pandas
Last synced: 17 Apr 2026
https://github.com/kaushik-puttaswamy/exploratory-data-analysis-using-python
This project applies Exploratory Data Analysis (EDA) using visualizations like box plots, scatter plots, and correlation matrices. It helps identify patterns, select ideal functions via least squares error, and map test data while evaluating deviations.
bokeh expolatory-data-analysis matplotlib numpy pandas python seaborn sqlalchemy
Last synced: 17 Apr 2026
https://github.com/shhiivvaam/regression
Linear Regression Model
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Last synced: 10 May 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/noluyorabi/bravais-pearson-interactive
Bravais-Pearson Interactive – A web app for visualizing Pearson correlation. Generate datasets, analyze correlations, and explore regression lines, r², and p-values interactively.
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Last synced: 17 Apr 2026
https://github.com/gregoritsch3/project_python_jobs_data_analysis
A multi-library Data Analysis Python project that draws useful insights from existing job data. It provides useful exploratory insight about job postings in the Data sector, such as the distribution of remote/non-remote jobs, jobs with/without healthcare, top paying and most demanded data roles, and more.
matplotlib numpy pandas python scipy seaborn
Last synced: 04 Apr 2026
https://github.com/abhijeet107/superstore-sales-data
Many more to come stay tune
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Last synced: 17 Apr 2026
https://github.com/jinhx128/data_analysis
基于Matplotlib+Numpy+Pandas搭建的数据分析项目。
matpolotlib numpy pandas python
Last synced: 18 Apr 2026
https://github.com/yuvrajsaraogi/sales-prediction-using-python
Sales prediction involves estimating future product sales based on factors like advertising spend, target audience, and platform. Businesses rely on data scientists to forecast sales and optimize advertising costs. Machine learning in Python can be used for this task.
data data-analysis data-science data-visualization machine-learning matplotlib natural-language-processing numpy pandas prediction python sales-prediction-using-python sql
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https://github.com/nicovandenhooff/kaggle-competitions
A repository that contains my Kaggle projects.
data-analysis data-visualization deep-learning exploratory-data-analysis kaggle machine-learning matplotlib modeling neural-network numpy pandas seaborn sklearn
Last synced: 04 Apr 2026
https://github.com/andryadsm/predicting-house-prices
🏘️ Project Predicting House Prices (Python)
data-analysis data-preprocessing data-visualization feature-engineering house-prices machine-learning matplotlib numpy pandas python real-estate seaborn sklearn
Last synced: 04 Apr 2026