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: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/hariprasath-v/advanced_cricket_tournament_simulation
Simulate cricket matches between two teams with this command-line program.
cricket cricketgame cricketsimulation ipython matplotlib numpy pandas python random seaborn
Last synced: 04 Apr 2026
https://github.com/ashish-kr-srivastava/olympic-games-eda---python
About Exploratory Data Analysis of a Historical Olympic Games Dataset, including all the games from Athens 1896 to Rio 2016.
data-visualization datacleaning eda matpotlib numpy pandas python seaborn seaborn-python
Last synced: 09 Apr 2026
https://github.com/shdrn2402/budget-analytics
Analyze a family's two-year spending in Israel to uncover trends, optimize budgets, and compare consumption patterns using Python, Pandas, and visualization tools.
jupyter-notebook matplotlib numpy pandas python seaborn visualization
Last synced: 08 Apr 2026
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: 12 Mar 2025
https://github.com/aahad91/covid-19-visual
IDV-Mini Project
covid-19 germany numpy panda plotly visualization
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https://github.com/danieljvickers/fluid_simulation
An educational example for learning the Navier-Stoke equations. Also included is a C++ and CUDA shared object library, buildable with CMake, for use in your personal projects.
cpp cuda differential-equations navier-stokes numpy physics python simulation
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https://github.com/secary/compsci7211
Foundations of Computer Science B
algorithms git numpy pandas shell unix
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https://github.com/tsungtsetu122/patternanalysis-gnn-node-classification
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evaluation-metrics gnn matplotlib networkx numpy optimization pandas python pytorch-geometric
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https://github.com/j-nobull/noble_ana-500
Apply Advbanced Python programming to data science problems
dash machine-learning-algorithms neural-network numpy pandas plotly scikit-learn tensorflow
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https://github.com/dilipgjadhav/cs_encryption_decryption_project
π Secure Data Hiding in Images using Steganography | AICTE & IBM SkillsBuild Internship Project. This Python-based tool hides secret messages in images using OpenCV & PyQt6, with password-protected decryption. Secure, user-friendly & efficient for cybersecurity. Future scope: multi-format support, AES encryption & web/mobile integration.
cyrptography data-hiding image-encryption image-processing numpy opencv pyqt5-gui python-project python-security secure-communication steganography
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https://github.com/satyacoder29/crm-analytics
CRM Analytics Dashboard β 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. ππ
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/tomas542/dl_examples
Examples of Machine Learning, Deep Learning, Natural Language Processing and so on
computer-vision cv deep-learning dl keras machine-learning ml natural-language-processing nlp numpy python pytorch scikit-learn
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https://github.com/adityabadgotiya/facial-recognition-attendance-system
This Attendance System that uses facial recognition to automatically mark student attendance. It features admin and student logins, real-time face detection, attendance tracking, email reporting, and secure password management. Built with Python (Tkinter, OpenCV, and Pillow), it replaces manual attendance with automated facial verification.
hashlib numpy opencv pandas pillow python sha-256-hash smtplib tkinter-gui
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keras matplotlib numpy pandas yfinance
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https://github.com/nour-zayed/face-recogntion
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database dlib face-recognition numpy opencv python
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https://github.com/mateusdigital/ram_it
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https://github.com/mondalbidisha/landmark-recognition
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jupyter-notebook kaggle kaggle-datasets numpy pandas python3
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https://github.com/jcm-ai/Robust-MLOps-Elevating-Machine-Learning-to-Production-Scale
This project aims to address the challenge faced by the Office of Foreign Labor Certification in managing a high volume of job certification applications for employers seeking to hire foreign workers in the United States. By leveraging ML models, this project seeks to streamline the process of shortlisting visa applicants based on historical data.
aws-ec2 aws-ecr aws-s3 cicd-pipeline data-science docker-image end-to-end exploratory-data-analysis git github-actions html machine-learning-models mlops mlops-project model-deployment mongodb numpy pandas python yaml
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https://github.com/gmork2/covid-19
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coronavirus covid-19 jupyter-notebook numpy pandas python scikit-learn
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https://github.com/beolawork-art/novabank-churn-analysis
NovaBank has noticed that customers are closing accounts or going inactive, and they want to understand why.
data-analysis data-science-projects data-visualization eda machine-learning numpy pandas python scikit-learn sql
Last synced: 08 Apr 2026
https://github.com/lorenzorottigni/ml-lending-club
Machine Learning python bootcamp: random forest classifier on LendingClub dataset
ipynb machine-learning numpy pandas python random-forest-classifier scikit-learn seaborn
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https://github.com/matheusotenio/catdog_imageclassifier
Classificar imagens de gatos e cΓ£es, utilizando um conjunto de dados misto.
deep-learning freecodecamp-project ipynb machine-learning matplotlib numpy tensorflow
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:chart_with_upwards_trend: Machine Learning & Data Visualisation/Processing techniques for predicting the critical temperatures required for different superconductors to conduct electrical current with no resistance.
jupyter jupyter-lab jupyter-notebook machine-learning matplotlib matplotlib-pyplot numpy pandas prediction python python-3 regression regression-algorithms scikit-learn scikitlearn-machine-learning scipy
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https://github.com/shahbazshaddy/explainable-multimodal-ai-for-breast-cancer-and-pneumonia-prediction
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deep-learning explainable-ai grad-cam groq-api llm machine-learning matplotlib multimodal numpy pandas python pytorch scikit-learn seaborn streamlit
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https://github.com/quocanh189/sentiment_analysis_eventhub
This project implements a Sentiment Analysis model using a neural network architecture built with Keras. The model classifies text into binary sentiment categories (positive or negative) by leveraging word embeddings and Gated Recurrent Units (GRU) layers. Additionally, the project includes a simple Flask web application to provide a real-time sent
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Analise quantitativo de nΓΊmeros de processos judiciais existentes no Nordeste brasileiro
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https://github.com/ibrahimfazili/stock-market-model
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parallel_radixsort from C++ for Python (Windows)
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https://github.com/colesmcintosh/pycuda-numpy-vector-ops
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https://github.com/harinisri012/plant-leaf-disease-detection-system
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cnn cv keras keras-tensorflow neural-networks numpy vgg16
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https://github.com/lintangwisesa/flask_sklearn_californiahouse
Simple Flask App with Linear Regression model to predict California house pricing π
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Here is my all personal educations , notes , basic apps I did. Here will be my backside for all supportive information about python I am gonna need.
django flask numpy pandas python3 scikitlearn-machine-learning tensorflow tkinter
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Sign Language Recognition using Deep Learning : ~ Built a model to recognize American Sign Language (ASL) for letters AβZ and digits 1β9 ~ Achieved ~89% validation accuracy using a Convolutional Neural Network (CNN) ~ Used data augmentation techniques to improve generalization ~ Visualized predictions to test the model on real samples
artificial-intelligence keras machine-learning matplotlib numpy python pytorch seaborn sklearn tensorflow
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https://github.com/pem-humboldt/wiutils
Exploration utilities for Wildlife Insights projects.
biodiversity camera-trap images matplotlib numpy pandas python seaborn trail-cameras wildlife-insights
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https://github.com/yashpandey1405/numpy-assignment-solution
This repository contains solutions to all questions from the NumPy Assignment, organized for clarity and easy navigation. π
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https://github.com/themysterysolver/python_basics
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basic-python-syntax collections dsa matplotlib numpy oops-in-python pandas python re scipy
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classification matplotlib numpy pandas prediction-model predictive-analytics predictive-modeling python regression scikit-learn scipy sklearn statsmodels
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https://github.com/ashithapallath/comparison-of-ssd-sad-in-motion-estimation-of-video-coding
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numpy optuna pandas pypi-package python sklearn
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Create a machine learning model to determine the likelihood of a customer defaulting on a loan based on credit history, payment behavior, and account details.
binaryclassification catboost exploratory-data-analysis machine-learning numpy pandas python scikit-learn shap
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https://github.com/ronakbediya310/campus-placement-project
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flask machine-learning numpy pandas python3 sklearn webapp
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https://github.com/hrolive/deep-learning-nanodegree
As one of the top 3% students from the first phase, "PyTorch Scholarship Challenge" by Facebook AI, I have earned a full scholarship to Udacityβs Deep Learning Nanodegree program
api-gateway aws aws-lambda aws-sagemaker computer-vision convolutional-neural-networks deep-learning deployment machine-learning natural-language-processing numpy pandas python pytorch scikit-learn
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https://github.com/priyanshulathi/cancer-diagnosis-prediction-model
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machine-learning numpy pandas python scikit-learn
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jupyterlab matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/aniket2021448/fakenewspredictionapp
The web app uses logistic regression on a dataset of 20,000 news articles, achieving 96% accuracy. It employs NLTK for text preprocessing and TF-IDF for feature extraction.
huggingface ml news nltk-python numpy pandas-python streamlit-webapp transformers-models
Last synced: 24 Jun 2026
https://github.com/alphacrypto246/insurance-charges-prediction
The Predicting Insurance Charges project uses Decision Tree Regression to predict insurance charges based on features like age, sex, BMI, and smoking habits. It involves data preprocessing, feature scaling, and model evaluation with metrics like MAE and RΒ².
machine-learning numpy pandas scikit-learn scikitlearn-machine-learning
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https://github.com/rusenaite/frame-quality-clustering
Python application that processes video files to extract frames and analyze their quality using blur detection and clustering techniques.
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https://github.com/trivedikavya/food-redistribution-platform
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console-application consolebase-application contributions-welcome kavyatrivedi numpy open-source python3 sklearn
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https://github.com/michabirklbauer/neuralnet
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backpropagation classification educational feedforward-neural-network from-scratch neural-network numpy
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https://github.com/elijah-1994/modelling-airbnbs-property-listing-dataset
Training and Evaluating classification and regression model use cases on the Airbnb dataset.
data-science machine-learning numpy pandas plotly python pytorch sklearn
Last synced: 10 Apr 2026
https://github.com/ramanpreet6262/ml_internity
Repository of code implimentations of various machine learning algorithms in my Internity Internship.
matplotlib numpy pandas python scikit-learn
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https://github.com/sauravokos/deep-learning
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keras numpy pillow python python-3-5 scikit-image scikit-learn scipy tensorflow tensorflow-examples tkinter tkinter-graphic-interface
Last synced: 02 Apr 2026
https://github.com/azaz9026/house_price_prediction_with_machine_learning
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linear-regression machine-learning-algorithms metaploit numpy pandas pickle python seaborn visualization
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https://github.com/ashkarin/rawimage
Read and write RAW images (or data arrays) without a headache.
image-processing imagej ndarray numpy raw-data raw-image readers writers
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https://github.com/mattsebastianh/Election-Results
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binomial-distribution numpy python statistics
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https://github.com/heyitsjoealongi/fantasy-football-qbwr-model
Fantasy Football: Quarterback / Wide Receiver - Gaussian Process Regression (GPR) Machine Learning Model
machine-learning matplotlib model numpy python scikit-learn
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https://github.com/adityabhamare10/aiml-hackathon
Smart Credit Risk Solutions
chatgpt confusion-matrix css ejs flask git github html javascript joblib jupyter-notebook logistic-regression matplotlib numpy pandas pycharm python seaborn sklearn stremlit
Last synced: 20 Jan 2026
https://github.com/dmarks84/ind_project_superstore-sales-time-series-analysis--kaggle
Independent Project - Kaggle Dataset-- I worked on the Superstore Sales Dataset, performing (as Part 1) data cleaning and preparation and exploratory data analysis. The main task was to make predictions for future sales based on time-series analysis, which is found in Part 2.
chloropleth data-modeling data-visualization eda linear-regression matplotlib numpy pandas python seaborn sklearn statistics statsmodels supervised-ml time-series-analysis
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https://github.com/hariprasath-v/av_job-a-thon-june-2022
Machine learning model to predict if the user would buy the product in the next 3 months or not.
matplotlib numpy pandas pycaret python seaborn sklearn
Last synced: 20 Apr 2026
https://github.com/hariprasath-v/hackerearth_get-a-room-ml-hackathon
Build a Machine Learning model to identify the habitability score of the property based on the property's basic information and location-based information.
exploratory-data-analysis machine-learning numpy pandas pycaret python randomforestregressor regression scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/hariprasath-v/zindi_umojahack-india-income-prediction-challenge
Create a machine learning model to predict whether an individual earns above 50,000 in a specific currency or not.
catboost-classifier classification exploratory-data-analysis f1-score matplotlib numpy pandas python scikit-learn seaborn shap zindi
Last synced: 13 Apr 2026
https://github.com/mayap2803/supervised-machine-learning--classification
Using supervised machine learning algorithms to classify signal from background particle events
adaboost k-nearest-neighbours linear-classifier machine-learning machine-learning-algorithms matplotlib mlp mlp-classifier numpy python scipy sklearn supervised-learning svm-classifier
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deep-learning mlp-classifier numpy
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https://github.com/bassemhalim/webrtc-demo
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https://github.com/lexxai/goit_python_ds_hw_02
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datascience google-colab homework jupyter-nootebook matplotlib numpy numpy-arrays pandas python seaborn seaborn-plots
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flask nltk numpy pandas plotly scikit-learn scipy sqlalchemy
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data-pipelines data-science data-visualization machine-learning matplotlib-pyplot numpy pandas-dataframe python scipy-stats sklearn statistics
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jupyter-notebook matplotlib numpy pandas
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https://github.com/ferdos-coder/instacartmarketbasketanalysisportflio
a repository for statistical and visual analyses utilizing tools like Pandas, NumPy, SQL, and Power BI using InstaCart Market Basket Data
jupyter-notebook machine-learning numpy pandas python statistics
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https://github.com/abhinav330/credit-score-classification-problem
This project aims to analyze credit card customer data, clean the dataset using libraries such as Pandas and NumPy then create a machine learning model using sklearn
credit-card credit-card-fraud credit-card-fraud-detection credit-risk credit-scoring data-science machinelearning numpy pandas python sklearn
Last synced: 08 Sep 2025
https://github.com/athari22/classification-with-python
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classification-algorithm decisiontree decisiontreeclassifier ibm k-nearest-neighbor knn knn-classification logistic-regression lr matplotlib ml numpy pandas python sklearn sklearn-library support-vector-machine svm svm-classifier visualization
Last synced: 09 Apr 2026
https://github.com/kelvynamaral/rolling-stones-spotify-eda
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Data Analysis of auto dataset
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https://github.com/abeertechcamus/documentdata
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https://github.com/fandreuz/python-serialization-benchmark
Low-effort benchmark of several serialization libraries for scientific applications
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https://github.com/jovicdev97/Financial-Loan-DataScience-Notebook
using numpy and pandas to analyze a synthetic loan dataset with python
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https://github.com/dakshsammi/arkaid
Arkaid is a game performance analytics platform developed for the Information Integration Architecture Course - CSE656 (IIIT Delhi). It uses a data warehouse approach to analyze gaming data from multiple sources and provides insights via an AI-driven interface.
ai airflow aws database-management datawarehouse docker etl flask information-integration numpy openai postgresql python togetherai
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https://github.com/harmanveer-2546/campus-placement-prediction
Student Campus-Placement Prediction ML Project using Python
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https://github.com/roluochke/real-estate-price-prediction-app
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https://github.com/abdelrahman-amen/face_recognition
This project implements a real-time face recognition system using Python, OpenCV, and the face_recognition library. It identifies individuals by comparing facial features from live video streams with pre-stored encodings, enabling fast and accurate recognition.
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https://github.com/dhavltharkaaar/portfolioprojects
This Repository contains the project related to my portfolio
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https://github.com/dsowles/miniproject1davidsowles2025
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Last synced: 16 May 2026
https://github.com/riyajain255/customer-segmentation-for-e-commerce
This project analyzes online retail data to segment customers using K-Means clustering and build classification models to predict those segments based on purchasing behavior.
customer-segmentation data-analysis kmeans-clustering logistic-regression machine-learning matplotlib numpy pandas python random-forest scikit-learn seaborn-plots
Last synced: 02 Apr 2026
https://github.com/zakintaliban/indonesia-train-passenger-forecasting
A project to analyze and forecast train passenger numbers in Indonesia using Python, Pandas, and Scikit-learn.
bps data-analysis data-science dataanalysis datascience forecasting indonesia kereta-api machine-learning machinelearning numpy pandas python scikit-learn scikitlearn seaborn time-series
Last synced: 29 Apr 2026
https://github.com/abyshergill/ultralytics_yolo_object_detection_testing_gui
This is a desktop application for real-time object detection using the YOLO (You Only Look Once) model build with ultralytics libarary. It's built with PyQt5 for the graphical user interface and OpenCV for video and image processing. The application allows users to load a YOLO model, adjust detection settings, and perform object detection on media.
numpy opencv-python pytorch qt5-gui threading ultralytics yolo
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https://github.com/prachi005748/website-performance-data-analysis-project
Briefly describe the objective of the projectβe.g., analyzing website performance metrics over time, uncovering trends in user engagement, or evaluating channel-wise trafficΒ quality.
data-analyst data-cleaning data-preprocessing data-visualization data-visualization-python exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn storytelling
Last synced: 01 May 2026
https://github.com/samiksha29-patil/e-commerce-sales-insights-dashboard
This project focuses on analyzing e-commerce sales data through data visualization. It highlights customer behavior, popular sales channels, product category trends, and city-wise performance to provide actionable business insights.
analytics customer-insights data-visualization ecommerce matplotlib numpy pandas python sales-analysis seaborn
Last synced: 03 May 2026
https://github.com/princeoncada/quant-pca-risk
Applies Principal Component Analysis (PCA) to daily returns of 20 US equities (2015β2025) to uncover hidden risk factors. Explores variance explained, scree, loadings, factor returns, covariance reconstruction, and Varimax rotation. Results show 3β5 PCs capture ~75% of portfolio risk.
correlation-analysis covariance-matrix dimensionality-reduction factor-models matplotlib numpy pandas pca portfolio-risk principal-component-analysis python quantitative-finance time-series-analysis variance varimax
Last synced: 06 May 2026
https://github.com/kushalagarwalla/netflix-movie-data-analysis
π Netflix Data Analytics Project π¬π | Analyzed 9K+ movies to uncover insights on genres, popularity, votes & release trends. Includes EDA, KPIs & visualizations using Python (Pandas, NumPy, Matplotlib, Seaborn). Supports data-driven content & engagement strategy.
data-analysis data-visualization jupyter-notebook numpy pandas python seaborn
Last synced: 06 May 2026
https://github.com/samiksha29-patil/flipkart-mobiles-data-analysis-visualization-in-python
This project analyzes Flipkart Mobiles Dataset to extract useful insights about mobile phones, their pricing, ratings, discounts, and customer reviews. The analysis and visualization are done using Python to understand market trends and customer preferences.
data-analysis data-visualization matplotlib numpy pandas python seaborn
Last synced: 04 May 2026
https://github.com/makcoder-2004/exploratory-data-analysis-projects
This repository features Exploratory Data Analysis (EDA) projects using Python, Pandas, NumPy, Matplotlib, and Seaborn to clean, explore, and visualize data. The goal is to uncover patterns, trends, and insights through statistical analysis and clear visualizations, preparing datasets for deeper analysis or modeling.
csv-files dataframes jyputer-notebook matplotlib numpy pandas seaborn
Last synced: 07 May 2026
https://github.com/kandil2001/lid-cavity-evolution
Lid Cavity Evolution is an open-source CFD suite for the lid-driven cavity problem, featuring MATLAB, Python, and parallel solvers with benchmark comparisons.
benchmarking cfd cfd-simulation lid-driven-cavity matlab mpi numpy open-source openfoam openmp parallel-computing python scientific-computing simple-algorithm star-ccm
Last synced: 06 May 2026
https://github.com/4ngelojr/ai-ml-cheatsheets
ποΈ Access essential AI and ML concepts with quick-reference cheatsheets for effective learning and project implementation.
bigdata cheatsheet computer-science convolutional-neural-networks data-science deep-learning dl excel hadoop keras linux neural-networks numpy pig plotly probability sql statistics
Last synced: 01 May 2026
https://github.com/labex-labs/numpy-for-beginners
This comprehensive course covers the fundamental concepts and practical techniques of NumPy, the essential library for numerical computing in Python. Learn to create, manipulate, and analyze arrays efficiently.
array-manipulation array-slicing beginner-friendly course data-analysis data-science data-structures fast-computation hands-on labex labs linear-algebra matrix-operations numerical-computing numpy programming python python-programming scientific-computing vectorized-operations
Last synced: 20 Jun 2026
