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/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
Last synced: 09 Apr 2026
https://github.com/harmanveer-2546/campus-placement-prediction
Student Campus-Placement Prediction ML Project using Python
decision-trees machine-learning matplotlib numpy python random-forest scipy seaborn
Last synced: 08 Mar 2026
https://github.com/roluochke/real-estate-price-prediction-app
This is a data science project for a real estate price prediction website.
flask html-css-javascript jupyter-notebook matplotlib numpy python sklearn
Last synced: 09 Apr 2026
https://github.com/dsowles/miniproject1davidsowles2025
INF601 Mini Project 1
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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
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https://github.com/abyshergill/ultralytics_yolo_object_detection_testing_gui
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numpy opencv-python pytorch qt5-gui threading ultralytics yolo
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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
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analytics customer-insights data-visualization ecommerce matplotlib numpy pandas python sales-analysis seaborn
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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
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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
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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.
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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
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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
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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
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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
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data-analysis data-visualization debbuging error-handling file-handling matplotlib-pyplot numpy pandas python
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https://github.com/jaketherealone/machinelearningtoolset
Collection of primary tools used in the field of machine learning - Written for numpy projects
machine-learning numpy python toolset
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https://github.com/rohanbanerjee1234567-cell/prediction-of-expected-salary-using-machine-learning
Here is my first Project Repository where I have made a Machine Learning Project using Python. The Problem statement was to train a model based on the given Dataset and from there we need to Predict the Expected Salary of an Employee who will have similar profiles.
exploratory-data-analysis linearregression matplotlib-pyplot numpy pandas randomforest randomforestregressor scikit-learn scikitlearn-machine-learning searborn visualization
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https://github.com/radithsandeepa/robot-path-visualizer
Welcome to Robot Path Visualizer! This tiny project uses Python, Pygame, and NumPy to replay a precomputed trajectory (x, y, ΞΈ). It rotates a robot sprite frame-by-frame and draws a trail, making it handy for diff-drive path playback, simulation demos, and quick visual debugging of robotics experiments.
animation numpy pygame python robot-simulation robotics trajectory-visualization
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https://github.com/shotadft/vecposlib
This is a library that enables vector calculations in Python.
math math-library numpy python python-lib python-library python3
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clustering datasets jupyter-notebook libraries matplotlib-pyplot numpy pandas-dataframe python random sklearn
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https://github.com/crvargasm/metnumun2021i
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https://github.com/anushkapal28/maatri-care
MaatriCare is an AI-based healthcare application designed to provide personalized nutrition advice and maternal care recommendations for pregnant women, lactating mothers, and women in general.
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https://github.com/akash-207/ecommerce-monetization-analysis
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https://github.com/jpcadena/cancer-classification
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cancer-detection classification data-analysis data-science deep-learning imblearn machine-learning neuronal-network numpy pandas pylint python scikit-learn supervised-learning tensorflow
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https://github.com/rarawe/taskly
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celery flutter-app hacktoberfest numpy pandas pydata queue queue-workers queued-jobs redis redis-queue scikit-learn scipy task-runner
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This project is a deep learning-based system for detecting human emotions from facial images using TensorFlow, OpenCV, and NumPy.
cnn cnn-classification dockerfile keras numpy opencv tensorflow transfer-learning
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This repository contains implementations of various machine learning algorithms from scratch, including Multi-Layer Perceptron (MLP), Gaussian Mixture Models (GMM), Principal Component Analysis (PCA), Autoencoders, and Variational Autoencoders.
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Repository nΓ y lΓ Δα» Γ‘n mΓ΄n hα»c Computer Vision
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adam-optimizer convolutional-neural-networks data-augmentation deep-learning image-classification jupyter-notebook neural-networks numpy optimizer pandas python pytorch relu-layer
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html matplotlib numpy pandas python sqlite streamlit
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bert huggingface-transformers knowledge-distillation machine-learning matplotlib numpy pandas python3 scikit-learn tiny-bert torch
Last synced: 09 Apr 2026
https://github.com/jcardonamde/datasets_ml
This project analyzes cab and limousine travel data in New York City. This with the goal of predicting the total duration of trips within the city. Machine learning models were used.
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Last synced: 09 Apr 2026
https://github.com/shafaq-aslam/predicting-heart-disease-risk-with-logistic-regression-techniques
Develop a predictive model using logistic regression techniques to assess heart disease risk based on patient health metrics and data analysis.
data-analysis heart-disease logistic-regression machine-learning machine-learning-models matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/stefagnone/text_adventure_game
A text-based adventure game project using Python fundamentals
matplotlib numpy pandas python r scikit-learn seaborn sql
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https://github.com/Khushi130404/CatNet
CatNet is a simple machine learning project that classifies images as either a cat or not a cat using logistic regression. The dataset consists of labeled images of cats and non-cats, preprocessed and used to train a binary classification model.
h5py matplotlib numpy pillow scipy
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https://github.com/n-t-raghava/the_sweet_16
This project detects faces in real-time from a webcam feed or an uploaded image and predicts age (in bins of 5 years) and gender (Male/Female). The model is based on OpenCVβs Deep Neural Network (DNN) module and pre-trained models for face, age, and gender detection.
caffemodel deep-learning flask numpy opencv python
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https://github.com/shauryashaurya/marty_mcfly
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anaconda jupyter-notebooks machine-learning machine-learning-tutorials notebook numpy python regression scikit-learn scipy tutorial
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csv data-analysis data-science fill fluctuations graph numpy python python-library
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keras-tensorflow lstm numpy tensorflow
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https://github.com/rajireddy15/employee-attrition-prediction-hr-analytics-
Employee Attrition Prediction (HR Analytics) helps organizations analyze employee data, identify factors driving turnover, and predict attrition using machine learning and visual dashboards, enabling data-driven HR decisions and retention strategies.
data-cleaning data-collection data-manipulation data-preprocessing data-science data-visualization eda feature-engineering imbalanced-data machine-learning mysql-database numpy pandas
Last synced: 04 May 2026
https://github.com/ghaniketrajputp005/adobe-gensolve-hackathon-2024
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cv2 keras-tensorflow numpy os sklearn
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cpp deep-learning hpc keras matplotlib numpy openmp pandas scikit-learn seaborn tensorflow
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https://github.com/ajxxxs/spotify-music-analysis
spotify Music (web scraped playlists ) analysis (over 3 states) , trends, features and a music recommendation system.
matplotlib numpy panda scikit-learn seaborn
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https://github.com/kikoveiga/feup-ia1
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feup feup-ia feup-leic genetic-algorithms hill-climbing numpy pandas python simulated-annealing tabu-search
Last synced: 06 May 2026
https://github.com/epsoft/tex-classification
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classification classification-algorithm farsi matplotlib numpy pandas persian tensorflow tex-classification textvectorization
Last synced: 09 Apr 2026
https://github.com/aaaastark/graph-convolution-network-with-dimensional-redaction-and-differential-algorithms-python
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cora differential-evolution dimensionality-reduction gcn gcn-architecture ipython matplotlib networkx numpy pandas pubmad pymoo python sklearn stellargraph tensorflow
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https://github.com/shambac/shamboflow
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cuda cupy machine-learning numpy pypi-package
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https://github.com/arijitdas0211/live-image-capture-and-emotion-detection
colab-notebook numpy pandas python scipy
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https://github.com/mallocode300/colour_palette_generator
Upload an image and immediately obtain a colour palette with the 10 most common colors in HEX codes and RGB
Last synced: 29 Jul 2025
https://github.com/morsalinislamshapon/diabetes-prediction-systemv3
This repository contains a machine learning model that predicts diabetes using user health data. It features an interactive web interface built with Streamlit and provides insights into model predictions through SHAP and permutation importance. ππ
jupyter-notebook machine-learning matplotlib numpy pandas plotly randomforestclassifier sckit-learn seaborn streamlit-webapp
Last synced: 29 Jul 2025
https://github.com/tomaslopera/fifa_analysis
exploratory-data-analysis matplotlib numpy pandas preprocessing-data
Last synced: 29 Jul 2025
https://github.com/arjunravi26/glucose-monitoring
Glucose Monitoring system to monitor patients and notify whenever glucose goes high.
machine-learning numpy pandas plotly python3 streamlit xgbboostregressor
Last synced: 30 Jul 2025
https://github.com/nathadriele/transaction_fraud_prevention_pipeline
Uma solução de detecção e prevenção de fraudes em transaçáes financeiras, combinando Machine Learning, regras de negΓ³cio e anΓ‘lises estatΓsticas avanΓ§adas. O sistema oferece um dashboard interativo para monitoramento em tempo real, anΓ‘lise de dados e gestΓ£o de alertas de fraude.
data-analysis data-visualization docker fraud-prevention machine-learning matplotlib numpy pandas pipeline pytest python scikit-learn scipy seaborn streamlit tensorflow transaction xgboost
Last synced: 10 Apr 2026
https://github.com/zeeshan4002911/data-analysis-hub
Quality control, data processing, data cleaning, data ploting
jupyter-notebook jupyterlab matplotlib numpy pandas seaborn
Last synced: 03 May 2026
https://github.com/ledsouza/MedPhys-BI
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aws boto3 cloud-computing cloud-run docker dotenv gcp mongodb numpy os pandas plotly pymongo python s3 streamlit terraform vitrinedev yaml
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https://github.com/youssefali11997/free-style-coding
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bash javascript numpy python3 ruby-on-rails scripts vuejs
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cmake cv2-library dlib-face-recognition face-recognition flask numpy pycharm-ide python
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border crop image-processing libvips numba numpy python python3
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https://github.com/vigneshvaranasi/breast_cancer_detection
This project employs machine learning, focusing on Logistic Regression, to detect breast cancer using tumor-related features. The dataset is preprocessed, and the model achieves 100% accuracy on the test set. The goal is to gain insights into breast cancer factors and provide an effective detection solution.
jupyter machine-learning matplotlib numpy pandas python scikit-learn
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https://github.com/darkdk123/handwashing-discovery-analysis
A Guided Project in a Boot camp to Analyse the Original Data used in the Discovery of Viruses & Hand Washing By Dr. Ignaz Semmelweis in Vienna General Hospital in the 1840s.
data-analysis data-science data-visualization matplotlib-pyplot numpy pandas plotly-python python seaborn-plots
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https://github.com/sakshithbillava/expense-manager
A web-based expense tracking app built with Python and Streamlit, featuring real-time updates, data visualization, user authentication, and MongoDB integration.
authentication data-visualization expense-manager matplotlib mongodb numpy pandas personal-finance python streamlit webapp
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https://github.com/nagipragalathan/python_tutorial_for_data-science
This repository is a comprehensive guide for learning data science using Python. It covers various essential libraries and tools commonly used in the field of data science, including Jupyter Notebook, Matplotlib, NumPy, Pandas, Scikit-learn, and PyTorch.
datascience datavisualization deeplearning jupyter jupyter-notebook learning-by-doing learningresources machinelearning matplotlib numpy opensource pandas python python-script python3 pytorch pytorch-implementation scikitlearn tutorial
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https://github.com/sridharyadav07/machine-learning-project-bankruptcy-prevention-
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data-preprocessing evaluation machine-learning-models matplotlib-pyplot modelbuilding modeldeployment numpy pandas python scikit-learn seaborn
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Our college minor project is a comprehensive solution aimed at enhancing road safety. The project comprises two main components: an Accident Detection Model and a Real-Time Driver Drowsiness System.
accident-detection accidents-analysis college-project cvzone dlib-face-detection dlib-face-recognition face-detection face-recognition imutils minor-project numpy opencv pandas python python3 yolov8
Last synced: 09 Apr 2026
https://github.com/celineboutinon/chicken-run
OpenClassrooms Data Analyst 2022-2023 - Projet 9
data-analysis data-analytics data-visualisation dataframes matplotlib-pyplot missingno numpy pandas plotly python scikit-learn scipy seaborn statsmodels
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https://github.com/dmarks84/ind_project_european-soccer-top-points-contributors--kaggle
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data-wrangling hypothesis-testing numpy p-values pandas python scipy-stats statistics t-test
Last synced: 09 Apr 2026
https://github.com/owenl0000/housepricesproject
Kaggle Project
data-analysis data-science data-visualization gridsearchcv kaggle-competition kaggle-dataset linear-regression machine-learning machine-learning-algorithms numpy onehot-encoding ordinal-encoding pandas python random-forest-regression sckit-learn seaborn streamlit xgboost-regressor
Last synced: 09 Apr 2026
https://github.com/mr-chang95/twitter_datawrangling
Twitter Data Wrangling for Udacity's Data Analyst Nanodegree Program
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Last synced: 09 Apr 2026
https://github.com/blinksta1ker/co2-prediction
EDA and Supervised ML model using Regression to predict Co2 Emissions from Vehicles
jupyter-notebook machine-learning numpy pandas python regression seaborn sklearn supervised-learning
Last synced: 09 Apr 2026
https://github.com/dpgitaccount/project-customer-segmentation-analysis-with-power-bi
This project segments customers based on their purchasing behavior to identify different target groups. It demonstrates skills in data analysis, clustering, and visualization using Power BI.
kmeans-clustering-algorithm linear-regression numpy pandas powerbi python seaborn segmentation
Last synced: 09 Apr 2026
https://github.com/klima7/numpynet
Convolutional Neural Network written from scratch using numpy with API similar to tensorflow.
cnn convolution network nn numpy scratch tensorflow
Last synced: 24 Sep 2025
https://github.com/niteshchawla/online-marketing-time-series-case-study
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https://github.com/ashar97/advanced-machine-learning
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https://github.com/0xunkn0wn4m1r/data_engineering_banking_project
π¦ Build a complete data engineering workflow for a banking system, showcasing ETL processes, data transformations, and an interactive financial dashboard.
automation data-analysis data-cleaning data-science feature-engineering fintech-bank flask-api loan-default-prediction machine-learning mlops model-explainability numpy postgresql scikit-learn segmentation shap sql unsupervised-learning
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https://github.com/jjwizardmp/gallery-art-problem
Resolve the Gallery Art Problem implement BFS and Delaunay Triangulation
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Last synced: 09 Apr 2026
https://github.com/rezapace/machine-learning-sound-detection
Welcome to the Machine Learning Detection Sound project! This project harnesses the power of machine learning to analyze car sounds, enabling the detection of vehicles based on their audio signatures.
colab-notebook googlecolab jupyter-notebook machine-learning numpy pathlib python python3 sound source tensorflow voice voice-recognition
Last synced: 09 Apr 2026
https://github.com/abideen-olawuwo/stroke-prediction
A stroke Prediction Model
adaboostclassifier catboost decision-tree-classifier kneighborsclassifier logistic-regression matplotlib numpy pandas random-forest-classifier seaborn sklearn xgboost-classifier
Last synced: 09 Apr 2026
https://github.com/sunilvarma-l/zomato-data-analysis-using-python
its a Python-based project to analyze and visualize Zomato restaurant data. This project explores various aspects of restaurant data, such as customer reviews, restaurant ratings, locations, and cuisines, with the aim of uncovering insights and trends in the food industry.
googlecollab matplotlib numpy pandas python seaborn
Last synced: 09 Apr 2026
https://github.com/mrandolph95/grad-projects
Projects completed during my ASU grad program for Social Data Science.
beautifulsoup nltk numpy pandas regression-analysis sckiit-learn seaborn selenium
Last synced: 09 Apr 2026
https://github.com/oaerobert/python-for-finance
Implementations of financial mathematics and statistics using the "Python for Finance" textbook. Includes Monte Carlo simulations, predictive stock prices using ML strategies and real world data visualisations.
matplotlib numpy pandas python
Last synced: 09 Apr 2026
https://github.com/waghraj1699/codeclauseinternship_customer_segmentation_tool
Implementing customer segmentation using ML, covering exploring advantages, preprocessing, K-means clustering, and visualization.
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Last synced: 08 May 2026
https://github.com/niteshchawla/aerofit-casestudy
The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.
matplotlib-pyplot numpy pandas probability python seaborn statistics
Last synced: 09 Apr 2026
https://github.com/mrmalik2512/catsvsdog.github.io
A CNN model integrated with flask backend the project is trained on image data of dogs and cats and integrated with a website predicts the given image is dog or a cat
deep-learning numpy python scikit-learn tensorflow
Last synced: 09 Apr 2026
https://github.com/lefteris-souflas/modern-slavery-analysis
Jupyter notebook using machine learning techniques to explore the complex drivers of modern slavery. Models from a research paper are replicated and evaluated . Actions also include filling missing data, training regression models, and analyzing feature importance.
decision-tree feature-importance grid-search-cv imputation jupyter-notebook lasso-regression linear-regression matplotlib mean-absolute-error numpy pandas preprocessing principal-component-analysis python3 random-forest ridge-regression scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/estaheri7/dotawinpredictor
This project aims to predict the outcome of Dota 2 matches based on the heroes picked by both the Radiant and Dire teams
data-science dota2 machine-learning numpy pandas python random-forest sklearn support-vector-machines
Last synced: 09 Mar 2026
https://github.com/gitluffywd/advanced_video_stabilization_and_roi_pixel_analysis
This repository offers tools for advanced video stabilization and pixel analysis, enhancing your video processing capabilities. Explore features like optical flow tracking and ROI selection to dive deeper into your video data. π οΈπ₯
data-structures debugging english-language git github html markdown numpy opencv project-management python
Last synced: 20 Jan 2026
https://github.com/iwitaly/aws-lambda-docker-builder
Docker image for building packages for AWS Lambda with Python environment
aws aws-lambda docker docker-image numpy python python3
Last synced: 09 Apr 2026
