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/tuokri/rs2-weapon-damage-analysis
Data visualization app for Rising Storm 2: Vietnam.
dash data-display data-visualization numba numpy pandas plotly postgres rising-storm-2-vietnam sqlalchemy timescaledb
Last synced: 17 Jul 2025
https://github.com/matheusotenio/oficina-python
https://oficina-python.streamlit.app/
matplotlib numpy python streamlit
Last synced: 27 Jun 2025
https://github.com/sandeepannandi/slicecam
SliceCam is a fun, camera-controlled game powered by OpenCV and Mediapipe that lets you slash flying fruits with real-time hand tracking.
collision-detection handtracking mediapipe mediapipe-hands motiondetection numpy opencv pygame python
Last synced: 06 May 2026
https://github.com/nurulashraf/linear-regression-spotify
Data Science - Spotify Linear Regression Analysis
data-analysis data-preprocessing data-visualization dataset-exploration feature-selection linear-regression machine-learning matplotlib mean-squared-error model-evaluation multiple-regression music-analytics numpy predictive-modeling python regression-analysis root-mean-squared-error scikit-learn seaborn spotify-data
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https://github.com/vjpaij/datascience-udemy
Various basic codes on datascience
machine-learning matplotlib numpy pandas python seaborn
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https://github.com/miltiadiss/TSLA-stock-price-prediction
matplotlib numpy pandas scipy sklearn
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https://github.com/abynxv/automatedexamsheetgrader-ocr
This Python project automates grading of handwritten or printed answer sheets using OCR (Optical Character Recognition). It extracts student answers from scanned images, compares them to an answer key, and generates a detailed report with class statistics.
numpy ocr-recognition opencv pandas python3 tesseract
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https://github.com/abdelmajidlh/fifa19
Ce projet conciste à analyser et visualiser les données FIFA19. Il est destiné aux jeunes data analystes ou ceux et celles qui souhaite apprendre la programmation Python. Le projet sera mis à jour au fur et à mesure.
fifa matplotlib numpy pandas python seaborn
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https://github.com/muralikrishna-cec/mca-s3
MCA SEMESTER 3 PROGRAMS
android-application android-studio java jupyter-notebook ml numpy python
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https://github.com/khaja-shaik-21/heart-disease-prediction-system
This form allows users to enter key health details like age, blood pressure, cholesterol levels, and exercise results to predict the likelihood of heart disease. The data is submitted to the backend for processing, where a machine learning model provides a prediction. The form is styled for a clean and responsive user experience.
css3 flask-application git html5 logestic-regression numpy pandas python3 scikit-learn
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https://github.com/abidhasanrafi/pharma-sales-analytics
A Streamlit-powered web application for analyzing pharmaceutical sales performance across teams, products, and territories.
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https://github.com/kumpatlapavankumar/recognizing-flowers-with-convolutional-neural-networks
This project uses a Convolutional Neural Network (CNN) to classify flower images into five categories: Daisy, Dandelion, Rose, Sunflower, and Tulip. The model is trained on the Flowers Recognition dataset with image augmentation techniques to enhance generalization.
cnn-keras coding data-science deep-learning enjoying flower-classification machine-learning numpy opencv2 pandas pathlib pillow python tensorflow testing training
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https://github.com/suryavamsi-p/youtube-trends-and-tracks-engagement
This project aims to leverage Python’s robust visualization libraries to derive deep insights from YouTube video trends data. Using the 'youtube.csv' dataset, this analysis explores the dynamics of YouTube video attributes such as views, likes, dislikes, and comment counts to understand user engagement and their emotional insights.
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https://github.com/mhmudfzli/loan-approval-prediction
This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance
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https://github.com/praju-1/data_science_projects
It contains the necessary code, datasets, and documentation to understand, replicate, and build upon the project's findings and methodologies.
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https://github.com/lorenzorottigni/ml-yelp-reviews
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https://github.com/dennis-mureti/final-data-analysis-data-science
African financial crisis data analysis
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https://github.com/abhishekbagdiya01/movies-recommendation-system
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https://github.com/ahmedabdalkreem/sentiment-analysis
This project performs sentiment analysis on a Twitter dataset, aiming to classify tweets into positive, negative, or neutral sentiments. Sentiment analysis is crucial for understanding public opinion on various topics, brands, or events based on social media data.
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https://github.com/ricomeetsworld/ml-roadmap
Opinionated roadmap to machine learning in 2023
conda huggingface machine-learning matplotlib numpy pandas python pytorch
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https://github.com/mr-chang95/datascience_airbnb
Data Science Project for Udacity's Data Scientist Program. Using Python in Jupyter Notebook.
airbnb data-analysis data-science data-visualization jupyter-notebook numpy pandas python sklearn
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https://github.com/marknature/opencv-bootcamp
If you are looking to take your first steps towards learning Computer Vision and AI using OpenCV, this is the best OpenCV course to jumpstart your career.
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https://github.com/omarsaad21/credit-train-data-science-project
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https://github.com/salamanderxing/jax-gaussian-bayes
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https://github.com/shrutiii1109/diwali-sales-analysis-through-python
Data analysis project on Diwali sales using Python (Pandas, NumPy, Matplotlib, Seaborn). The goal is to analyze customer behavior, identify sales trends, and provide insights to improve marketing and business strategies.
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YouTube Data Analysis using Python — uncovering trends, engagement patterns, and correlations between likes, comments, views, and categories to understand what drives content success.
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Exploratory Data Analysis (EDA) of the Google Play Store dataset — examining trends in app ratings, categories, pricing, and user engagement using Python and LaTeX.
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https://github.com/nskamaleshmani/exoseeker
🌌 Discover and analyze exoplanets with ExoSeeker, a tool designed for efficient world-hunting using Python and data visualization techniques.
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https://github.com/utkarsh251106/tracking-with-yolo
This project uses YOLOv8 and DeepSORT to detect and track children and adults in video streams. It assigns unique IDs, handles re-tracking after occlusions, and outputs an annotated video with labeled bounding boxes.
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A real estate price prediction website developed using Python with Numpy and Pandas for data cleaning Matplotlib for data visualization and scikit-learn for model building, featuring a Flask server to handle HTTP requests and integrates a user-friendly UI built with HTML, CSS, and JavaScript
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https://github.com/gyselle-marques/transferlearningyolo-desafiodio
Machine Learning: Rotulação de uma base de dados e aplicação de transfer learning com a rede YOLO.
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Repositório teste para códigos do projeto de Modelo de Difusão do branch CIS-IEEE
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https://github.com/haydencordeiro/terafeed
Terafeed - Addressing Zero Hunger in Africa (Sustainability Goal SDG 2)
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https://github.com/anas436/analyzing-automobile-data-set-using-python
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https://github.com/allenvox/neural
Workspace for Neural Networks class
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https://github.com/zborovskaanna/grosery_store_sales_analysis
Python data analysis project. Analysis of grocery store sales using visualizations and reporting in Tableau
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https://github.com/5hraddha/zyfra-gold-recovery-prediction
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https://github.com/rakibhhridoy/covid19analysisindashboard-tableau
Covid19 dashboard analysis of world,north america,south east Asia and their characteristics upon pandemic. Some interesting statistics is shown by the data. The increase rate make effect on death and recover rate quite periodic. Simulating those changes make more interactive.
covid-19 dashboard data-processing dataviz numpy pandas python statistics tableau tableau-dashboards
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https://github.com/aysh2603/twitter-sentiment-analysis
The Twitter Sentiment Analysis project employs Natural Language Processing (NLP) techniques to classify tweets into positive or negative sentiments. By analyzing the tone of tweets, this project provides insights into public sentiment on various topics.
hyperparameter-tuning nlp-machine-learning numpy pandas python3 scikit-learn
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https://github.com/davityak03/sentence-paraphraser-checker-using-transformers
This Jupyter Notebook implements a tool to check whether two sentences are paraphrases by analyzing their semantic similarity using NLP techniques. It provides a similarity score and a binary decision to indicate if the sentences are paraphrases.
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https://github.com/rdvdev2/tf-test
Mostres de ML i IA amb TensorFlow basades en els tutorials oficials per al PR
numpy python research-project tensorflow tensorflow-tutorials
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https://github.com/mikma03/simulation_modeling
Simulation models using Python. Practical use of Python in real-world examples and additional resourses.
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Last synced: 08 May 2026
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https://github.com/pranjalshivhare06/medical-ensurance-charge-predictor
The Insurance Price Predictor is a machine learning project designed to predict insurance costs based on various input features. The project leverages four different algorithms, with XGBoost emerging as the most accurate and efficient model.
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Last synced: 19 Apr 2026
https://github.com/pabs-code/face-detection-using-haar-cascade-classifier
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https://github.com/bala-1409/peerloankart-loan-fraud-detection-datascience-project
This project uses machine learning to predict whether a loan applicant will repay their loan. The project uses a dataset of historical loan data from PeerLoanKart, a peer-to-peer lending platform.
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https://github.com/iliailmer/numpy_learn
A small machine learning mock-library written entirely in numpy and shamelessly imitating PyTorch.
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https://github.com/sanjana-bongale/cancer_survival_data_analysis_and_prediction_using_logistic_regression
This project performs data analysis using Python to predict cancer patient survival outcomes. It involves data cleaning, exploratory analysis, and visualizations to explore factors like cancer type, stage, and treatments. A logistic regression model is built to predict patient survival based on demographic and medical data.
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https://github.com/abdullahkhurshid/lung-cancer-prediction
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Last synced: 08 Apr 2026
https://github.com/loaiwalid07/portfolio
Loai Nazeer portfolio
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https://github.com/tabotcharlesbessong/python-errors
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matplotlib-animation matplotlib-pyplot numpy pandas python-script python3 scikit-learn seaborn
Last synced: 16 Apr 2026
https://github.com/secary/compsci7211
Foundations of Computer Science B
algorithms git numpy pandas shell unix
Last synced: 10 Apr 2026
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
Last synced: 08 Apr 2026
https://github.com/singhvishal003/stock-price-predict
Stock Price Prediction model using yfinance data .
keras matplotlib numpy pandas yfinance
Last synced: 08 Apr 2026
https://github.com/gmork2/covid-19
A mathematical analysis of the infection growth
coronavirus covid-19 jupyter-notebook numpy pandas python scikit-learn
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
Last synced: 08 Apr 2026
https://github.com/shahbazshaddy/explainable-multimodal-ai-for-breast-cancer-and-pneumonia-prediction
A deep learning-based framework integrating explainable multimodal AI for accurate prediction and transparent diagnosis of breast cancer and pneumonia.
deep-learning explainable-ai grad-cam groq-api llm machine-learning matplotlib multimodal numpy pandas python pytorch scikit-learn seaborn streamlit
Last synced: 08 Apr 2026
https://github.com/colesmcintosh/pycuda-numpy-vector-ops
Accelerating NumPy Vector Operations with PyCUDA
Last synced: 28 Apr 2026
https://github.com/lintangwisesa/flask_sklearn_californiahouse
Simple Flask App with Linear Regression model to predict California house pricing 🏠
california-house-pricing flask linear-regression machine-learning numpy pandas sklearn
Last synced: 12 Apr 2026
https://github.com/dmarks84/coursework_project_boston-data-project
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https://github.com/seymencanates/pythonn
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.
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https://github.com/ashithapallath/comparison-of-ssd-sad-in-motion-estimation-of-video-coding
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https://github.com/sarthakm402/rabbi
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https://github.com/hariprasath-v/machinehack_analytics_olympiad_2023
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.
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https://github.com/priyanshulathi/cancer-diagnosis-prediction-model
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https://github.com/alphacrypto246/insurance-charges-prediction
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machine-learning numpy pandas scikit-learn scikitlearn-machine-learning
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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.
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https://github.com/ashkarin/rawimage
Read and write RAW images (or data arrays) without a headache.
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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.
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https://github.com/bassemhalim/webrtc-demo
webrtc demo using aiortc library
Last synced: 09 Apr 2026
https://github.com/armahdavi/analytics_statistics_ML_plotting_dust_extraction_hvac_filters_ph2
PhD Technical Paper 1 - Phase 2 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available
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https://github.com/priyankapriyadarshini50/autos_data_analysis
Data Analysis of auto dataset
matplotlib numpy pandas psycopg2 scikit-learn scipy seaborn
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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.
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Last synced: 09 Apr 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.
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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
Last synced: 08 May 2026
https://github.com/prachi005748/website-performance-data-analysis-project
Briefly describe the objective of the project—e.g., analyzing website performance metrics over time, uncovering trends in user engagement, or evaluating channel-wise traffic 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.
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https://github.com/princeoncada/quant-pca-risk
Applies Principal Component Analysis (PCA) to daily returns of 20 US equities (2015–2025) to uncover hidden risk factors. Explores variance explained, scree, loadings, factor returns, covariance reconstruction, and Varimax rotation. Results show 3–5 PCs capture ~75% of portfolio risk.
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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
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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.
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Last synced: 07 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.
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Last synced: 20 Jun 2026
https://github.com/vitor-ace/sunspots-data-analysis
This is a Jupyter Notebook which works with Data Analysis logic and libraries implementation with Python.
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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, θ). 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.
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Last synced: 18 Sep 2025
https://github.com/abhishek-patidar066/synthetic-datasets
Synthetic datasets are artificially generated data used for training machine learning models, simulating real-world data while ensuring privacy.
clustering datasets jupyter-notebook libraries matplotlib-pyplot numpy pandas-dataframe python random sklearn
Last synced: 15 Apr 2026
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.
gemini-api jupyter-notebook labelencoder numpy pandas python3 random-forest streamlit svm-training
Last synced: 18 Sep 2025
https://github.com/jpcadena/cancer-classification
Breast cancer classification project.
cancer-detection classification data-analysis data-science deep-learning imblearn machine-learning neuronal-network numpy pandas pylint python scikit-learn supervised-learning tensorflow
Last synced: 09 Apr 2026
https://github.com/noxs1d/cv-emotion-classification
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
Last synced: 09 Apr 2026
https://github.com/spacebakery/crunchie-munchies-project
Analyze Data with Pyhton
Last synced: 27 Jul 2025