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An open API service indexing awesome lists of open source software.

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.

https://github.com/omarsaad21/credit-train-data-science-project

This a full web application to predict the credit score of clients plus I did many visulizations to express many insights in chart

eda matplotlib ml numpy pandas python sklearn streamlit-webapp

Last synced: 09 Apr 2026

https://github.com/caioandrian/data-analyst-procon

Análise dos dados do Procon, período de 2013 à 2016.

dataset numpy pandas python

Last synced: 11 Apr 2026

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.

data-analysis jupyer-notebook matplotlib numpy pandas python seaborn

Last synced: 30 Apr 2026

https://github.com/sahilmaurya28/youtube-data-analysis

YouTube Data Analysis using Python — uncovering trends, engagement patterns, and correlations between likes, comments, views, and categories to understand what drives content success.

analysis data-analysis data-visualization matplotlib-pyplot numpy pandas portfolio-project python seaborn youtube

Last synced: 13 Apr 2026

https://github.com/om-kanabar/sciencefair2025

This is my project for Chicago Public School's student science fair 2025.

chicago-public-schools matplotlib-pyplot neural-networks numpy python science-fair tensorflow

Last synced: 03 Nov 2025

https://github.com/emredemirbas/google-playstore-eda

Exploratory Data Analysis (EDA) of the Google Play Store dataset — examining trends in app ratings, categories, pricing, and user engagement using Python and LaTeX.

exploratory-data-analysis matplotlib numpy pandas python seaborn

Last synced: 03 May 2026

https://github.com/nskamaleshmani/exoseeker

🌌 Discover and analyze exoplanets with ExoSeeker, a tool designed for efficient world-hunting using Python and data visualization techniques.

exoplanet-transits exoplanets gradient-boosting machine-learning matplotlib nasa nasa-data nasa-spaceapps-challenge numpy pandas perceptron-neural-networks random-forest streamlit

Last synced: 03 Nov 2025

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.

computer-vision deep-learning deepsort machine-learning numpy opencv python torch ultralytics yolov8

Last synced: 30 Jan 2026

https://github.com/isk-daniar/-contrast-improvements-on-pil

Contrast improvements on PIL

numpy pillow python

Last synced: 10 Jun 2026

https://github.com/shibbir-ahmad24/a-data-driven-approach-to-food-security-and-supermarket-accessibility

A Data-Driven Approach to Food Security and Supermarket Accessibility

data-analysis matplotlib numpy pandas python3 seaborn

Last synced: 05 Apr 2025

https://github.com/nishthasharma-22/binary-black-hole-merger-gravitational-waves-simulation

Repository of all astronomy related projects, including: Gravitational Waves graph from binary black hole merger

astrophysics blackhole-merger gravity-simulator matplotlib numpy python scipy

Last synced: 05 May 2026

https://github.com/thavinduushan/object-detection

Application developed for real-time object detection and counting utilizing COCO dataset

numpy opencv python

Last synced: 15 Apr 2026

https://github.com/apuravdivekar2032/real-estate-price-prediction

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

flask html-css-javascript jupyter-notebook matplotlib numpy pandas pycharm python3 sklearn vscode

Last synced: 20 Jan 2026

https://github.com/hawkharsh1/house-price-pridiction-model-using-ann

A deep learning-based regression model built using Artificial Neural Networks (ANN) in PyTorch to predict house prices from structured data. This project demonstrates the application of machine learning and deep learning techniques for solving real-world problems in the housing domain.

artificial-neural-networks deep-neural-networks machine-learning numpy pandas python3 pytorch scikit-learn

Last synced: 08 Apr 2026

https://github.com/ijproject/calculate-absorption-rate

大気を構成する分子ごとの赤外線吸収割合を計算するプログラム。

numpy python

Last synced: 11 May 2026

https://github.com/dwija12903/mentorness-internship

Developed and applied technical skills in areas such as programming languages, data analysis, and machine learning methodologies.

matplotlib numpy pandas python scikit-learn

Last synced: 08 Apr 2026

https://github.com/cyberlument/opencv-colormasking-red-

This mini project opencv is for educational purpose.

numpy opencv opencv-python pycharm vscode

Last synced: 20 Jan 2026

https://github.com/priyasingh26/financial_document-data_extraction

This project extracts key information from financial documents like invoices and receipts using text recognition. It processes images, classifies documents, and extracts data, which is then stored in a CSV file. The aim is to automate data collection from scanned documents, reducing manual work and increasing accuracy.

data-extraction numpy ocr pandas pillow preprocessing pytesseract-ocr python sklearn torch transformers

Last synced: 08 Apr 2026

https://github.com/caefleury/cis-ieee-difusion-model

Repositório teste para códigos do projeto de Modelo de Difusão do branch CIS-IEEE

docker docker-compose numpy python3 tensorflow

Last synced: 08 Apr 2026

https://github.com/chawthinn/car-price-prediction-regression-ml

This project predicts used car prices using regression models including Linear, Ridge, Random Forest, XGBoost, and LightGBM. It covers preprocessing, EDA, model evaluation, hyperparameter tuning, and model persistence using Scikit-learn and related libraries.

car-price-prediction lgbmregressor linearregression numpy pandas python scikit-learn xgbregressor

Last synced: 08 Apr 2026

https://github.com/poziloi/-image_processing-

Методы и алгоритмы цифровой обработки изображений, задания

cv2 matplotlib numpy python

Last synced: 20 Jan 2026

https://github.com/babagata/praktikum-4-data-analysis

Data analysis for course "Physics laboratory IV"

matplotlib numpy pandas scipy

Last synced: 28 Apr 2026

https://github.com/michelenana/projet-7

PRODUISEZ UNE ETUDE DE MARCHE AVEC R OU PYTHON

acp boxplots cah kmeans matplotlib numpy pandas python scipy seaborn sklearn

Last synced: 08 Apr 2026

https://github.com/asut00/python-piscine_42ai

Python Bootcamp: A one-week intensive course with 42AI at École 42, covering Python fundamentals, data manipulation, and introductory AI concepts.

matplotlib numpy pandas python

Last synced: 07 May 2026

https://github.com/haydencordeiro/terafeed

Terafeed - Addressing Zero Hunger in Africa (Sustainability Goal SDG 2)

javscript numpy pandas powerbi python scikit-learn tableau vuejs

Last synced: 08 Apr 2026

https://github.com/chandkund/image-classification-using-the-mnist-dataset

Image Classification using the MNIST dataset. This project leverages a Convolutional Neural Network (CNN) to recognize and classify handwritten digits with high accuracy. Includes data preprocessing, model architecture, and evaluation. Explore the code and results here!

computer-vision data-science machine-learning matplotlib numpy pandas python

Last synced: 08 Apr 2026

https://github.com/allenvox/neural

Workspace for Neural Networks class

jupyter-notebook neural-networks numpy python pytorch tensorflow

Last synced: 02 Jan 2026

https://github.com/zborovskaanna/grosery_store_sales_analysis

Python data analysis project. Analysis of grocery store sales using visualizations and reporting in Tableau

data-analysis data-visualization matplotlib numpy pandas python seaborn tableau

Last synced: 08 Apr 2026

https://github.com/raghavendranhp/airbnb-data-analysis

The Airbnb Data Analysis project focuses on analyzing Airbnb data using MongoDB Atlas, Python scripting, data preprocessing, visualization, and interactive geospatial insights. We delve into the world of property management and tourism to uncover trends, pricing variations, and location-based analysis.

eda jupyter-notebook mongodb numpy pandas powerbi preprocessing

Last synced: 08 Apr 2026

https://github.com/5hraddha/zyfra-gold-recovery-prediction

Zyfra is a pioneering developer of efficiency solutions for heavy industries & is aiming to take help of machine learning to optimize the efficiency in Gold Ore processing

decisiontreeregressor dummyregressor linearregression numpy pandas randomforestregressor scipy seaborn smape supervised-learning

Last synced: 08 Apr 2026

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

Last synced: 06 May 2026

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

Last synced: 13 Jul 2025

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.

keras nlp nltk numpy python tensorflow tokenizer transformers

Last synced: 02 Jan 2026

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

Last synced: 22 Mar 2025

https://github.com/mikma03/simulation_modeling

Simulation models using Python. Practical use of Python in real-world examples and additional resourses.

matplotlib numpy pandas portfolio python simulation stocks

Last synced: 08 May 2026

https://github.com/omraj0/covid19-data-analysis

Analysis of COVID-19 infection rates in various countries, correlating them with factors such as GDP per capita and social support.

covid-19 google-colab matplotlib numpy pandas python

Last synced: 19 Apr 2026

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.

fastapi machine-learning numpy pandas xgboost-classifier

Last synced: 19 Apr 2026

https://github.com/anmamun0/data-analysis-home-cleaning-services

This repository contains the analysis and visualization of data from a home cleaning services dataset. The project provides valuable insights into revenue generation, customer trends, and regional performance, helping businesses make data-driven decisions.

matplotlib numpy pandas

Last synced: 05 Mar 2025

https://github.com/pabs-code/face-detection-using-haar-cascade-classifier

This is a Streamlit-based face detection application that uses the Haar Cascade classifier to detect faces in uploaded images.

face-detection haar-cascade-classifier numpy opencv python streamlit

Last synced: 08 Apr 2026

https://github.com/vyjayanthipolapragada/image_classifier_model_hotdog

Building an Image classifier model to train and test a dataset and classify the given images into hotdog and not-hotdog.

artificial-intelligence dataset image-classification image-processing machine-learning matplotlib neural-networks numpy pandas python pytorch tensor torchvision transfer-learning

Last synced: 08 Apr 2026

https://github.com/muhkartal/e-forecast

machine learning-powered energy consumption prediction system that analyzes historical data to forecast future energy usage trends, optimizing efficiency and sustainability.

fastapi joblib matplotlib numpy pandas pydantic pytest sckit-learn seaborn tensorflow tqdm uvicorn xgboost yaml

Last synced: 08 Apr 2026

https://github.com/iliailmer/numpy_learn

A small machine learning mock-library written entirely in numpy and shamelessly imitating PyTorch.

deep-learning machine-learning mnist numpy scipy

Last synced: 09 May 2026

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.

data-analysis data-cleaning data-science data-visualization eda jupyter-notebook kaggle logistic-regression machine-learning matplotlib numpy pandas predictive-modeling python scikit-learn seaborn

Last synced: 08 Apr 2026

https://github.com/tabotcharlesbessong/python-errors

This repository will contain all python errors i will encounter in my life as a python plus their solutions

matplotlib-animation matplotlib-pyplot numpy pandas python-script python3 scikit-learn seaborn

Last synced: 16 Apr 2026

https://github.com/rosacarla/projetodio_covid19

Projeto desenvolve modelos com Python e Machine Learning para prever a evolução do COVID-19 no Brasil

etl machine-learning numpy pandas python

Last synced: 08 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/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/mondalbidisha/landmark-recognition

A solution for identifying and recognizing landmarks from images, addressing key challenges and leveraging both algorithmic and human expertise to achieve high accuracy and reliability.

jupyter-notebook kaggle kaggle-datasets numpy pandas python3

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/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

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/hansalemaos/cppradixsort

parallel_radixsort from C++ for Python (Windows)

cpp numpy parallel-computing python sort

Last synced: 05 Feb 2026

https://github.com/colesmcintosh/pycuda-numpy-vector-ops

Accelerating NumPy Vector Operations with PyCUDA

cuda-programming numpy 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

Project for IBM Data Science course on Statistics -- Read in a large data set and performed several statistical analyses and hypothesis testing

communication data-modeling data-reporting dataframes eda hypothesis-testing matplotlib numpy pandas probability python scipy seaborn statistics visualization

Last synced: 08 Apr 2026

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.

django flask numpy pandas python3 scikitlearn-machine-learning tensorflow tkinter

Last synced: 08 Apr 2026

https://github.com/shreyavats23/sign_language_recognition

Sign Language Recognition using Deep Learning : ~ Built a model to recognize American Sign Language (ASL) for letters A–Z and digits 1–9 ~ 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

Last synced: 08 Apr 2026

https://github.com/ashithapallath/comparison-of-ssd-sad-in-motion-estimation-of-video-coding

Course assignment for Algorithm and Massive Datasets comparing SAD and SSD for motion estimation. Includes analysis of accuracy, speed (Python/NumPy), and error sensitivity. Highlights trade-offs for speed-critical vs. precision-focused applications.

l1-normalization l2-norm numpy pytho video-cod

Last synced: 04 Apr 2025

https://github.com/sarthakm402/rabbi

A Ml library that can be used ot clean,and use models to predict on data

numpy optuna pandas pypi-package python sklearn

Last synced: 20 Apr 2026

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.

binaryclassification catboost exploratory-data-analysis machine-learning numpy pandas python scikit-learn shap

Last synced: 08 Apr 2026

https://github.com/priyanshulathi/cancer-diagnosis-prediction-model

A Machine Learning project to predict cancer malignancy using K-Nearest Neighbor, Support Vector Machine, and Decision Tree algorithms.

machine-learning numpy pandas python scikit-learn

Last synced: 03 Jan 2026

https://github.com/barraharrison/seoul-bike-sharing

Performing EDA on a kaggle dataset to look at the distribution of Seoul's bike-sharing system

jupyterlab matplotlib numpy pandas python scikit-learn seaborn

Last synced: 23 Jul 2025

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 R².

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 03 May 2026

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/ashkarin/rawimage

Read and write RAW images (or data arrays) without a headache.

image-processing imagej ndarray numpy raw-data raw-image readers writers

Last synced: 28 Apr 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

Last synced: 09 Apr 2026

https://github.com/bassemhalim/webrtc-demo

webrtc demo using aiortc library

numpy opencv python3 webrtc

Last synced: 09 Apr 2026

https://github.com/eljandoubi/disasterresponsepipeline

Project aim is to build a Natural Language Processing (NLP) model to categorize messages on a real time basis.

flask nltk numpy pandas plotly scikit-learn scipy sqlalchemy

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

data-pipelines data-science data-visualization machine-learning matplotlib-pyplot numpy pandas-dataframe python scipy-stats sklearn statistics

Last synced: 17 Sep 2025

https://github.com/armahdavi/data_pipeline_analytics_statistics_ML_PM_PSD_residential_QFF

Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782

data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics

Last synced: 17 Sep 2025

https://github.com/abeertechcamus/documentdata

The dataset was cleaned and queried using Python inside Jupyter Notebook and visualizes using PowerBI Document Data Analysis Projects

dax jupyter-notebook numpy pandas powerbi python

Last synced: 04 May 2026

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

numpy yfinance

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/kushalagarwalla/netflix-movie-data-analysis

🚀 Netflix Data Analytics Project 🎬📊 | 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/4ngelojr/ai-ml-cheatsheets

🗂️ 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/jaketherealone/machinelearningtoolset

Collection of primary tools used in the field of machine learning - Written for numpy projects

machine-learning numpy python toolset

Last synced: 19 Jun 2026

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/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

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