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: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/shaulamarquez/data-job-market
This is a Data Job Market analysis
analysis matplotlib numpy python seaborn
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https://github.com/shingiraibhengesa/house-price-predictor
A machine learning project that predicts house prices based on user input features such as square footage, number of bedrooms, and more.
machine-learning-models matplotlib numpy python scikit-learn seaborn
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https://github.com/aliakbar-omidi/ten-most-populous-cities-of-iran
This project is to show the densely populated cities of Iran on the map
basemap matplotlib numpy pandas python
Last synced: 09 May 2026
https://github.com/alejandrolara11/data-preprocessing
Data preprocessing through the use of the libraries NumPy and pandas.
data-analysis data-cleaning data-preprocessing numpy pandas python
Last synced: 09 May 2026
https://github.com/raghavendranhp/predictive-analytics-in-automotive-manufacturing-testing-time-optimization
Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.
elasticnet extratreesregressor fastica model-pipeline numpy pandas pca randomforestregressor svr-regression-prediction xgboost
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https://github.com/avinashkrishna07/plant-disease-prediction-cnn-deep-leanring-project
Plant Disease Prediction with CNN - Deep Learning Project
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https://github.com/aymen016/leetcode-problems
This repo is designed to enhance your problem-solving skills through daily coding challenges, complete with clear explanations and well-structured solutions. π―
coding decision-making leetcode-python leetcode-solutions numpy problem-solving python
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https://github.com/jsnevt/series_temporais
PrevisΓ£o de eventos que ocorrem sazonalmente
datetime matplotlib numpy pandas
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https://github.com/sameerjain/ai-snake-game
Implemented a Q-learning agent to play and learn the classic Snake game, leveraging PyTorch for Neural Network. Visualized using Matplotlib, showcasing agent's evolving performance over time. Built UI using Pygame to visualize Snake, including food, and current score.
anaconda conda matplotlib neural-network numpy pygame python3 pytorch q-learning
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True Fake News Detector NLP model
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Digitalize 16mm films with Python & reactivex & FT232H
cython ft232h libpng multiprocessing numpy opencv python3 reactivex um232h
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https://github.com/omogbolahan94/lego-analysis
Analysis of LEGO data from 1949 to 2021.
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https://github.com/dhruvv1402/x-twitter-bot-python
A Python-powered Twitter bot for content generation, analytics, and automation using Twitter API v2.
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Tiny item-item recommender in Python using cosine similarity over a toy userβitem matrix. Simple CLI to print top-N recommendations.
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https://github.com/tonoy30/emotion-mask
A pytorch model for add face mask based on detected emotion.
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https://github.com/flexthink/matricize
A convenience library to convert between pure Python objects and their vectorized representations
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Dataset analysis model using matplotlib and other libraries
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This is a (mini) Python project, completed as part of the requirements for the Data Analysis with Python certification from freeCodeCamp.com.
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A machine learning project predicting Titanic passenger survival using data preprocessing, feature engineering, and model optimization with Logistic Regression, Random Forest, and XGBoost.
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https://github.com/brian-hepler-phd/kak-decomposition-qml
Cartan decomposition (SU(4)) via Lie theory and QML β exact + variational approaches for two-qubit gates.
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https://github.com/shaikats/python-assignment
Simulation and Modeling Lab assignments using Python, NumPy, Matplotlib, and Jupyter Notebook.
jupyter-notebook matplotlib numpy python simulation-modeling
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https://github.com/nahiyanhkhan/data-processing-and-visualization
Loan Data Processing using Python's numpy and pandas libraries. For data visualization, matplotlib and seaborn are used.
data-analysis-python data-visualization matplotlib numpy pandas seaborn
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https://github.com/khaymanii/credit-card-fraud-detection-model
This model was built using python and Logistic Regression Machine Learning algorithm
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https://github.com/aroojzahra908/machine-learning
This repository contains helpful guides and materials for easily understanding Pandas, NumPy, and Matplotlib libraries, which are essential tools for creating visual representations of data.
algorithms machine-learning-algorithms matplotlib numpy pandas
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https://github.com/chuvalniy/tulia
Contains self-implemented Machine Learning algorithms using only numpy.
boosting from-scratch knn learning logistic-regression machine ml numpy python random-forest regression sklearn testing xgboost
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https://github.com/abdullah2020/hamoye_stageb
This is my Hamoye Stage B project. The project focuses on Predicting Energy Efficiency of Buildings. It implemented different Machine Learning algorithm technique that are not limited to Linear Regression, LASSO, Ridge etc.
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https://github.com/sanjurajveer/market_basket_analysis
Finding pattern of bought objects through market basket analysis
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https://github.com/carol-neto/sprint-4-statistical-data-analysis
In this project I had the opportunity to test my knowledge by analyzing a phone plan and creating graphs to compare the plans and determine which ones generate the most revenue.
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https://github.com/liannekiarra/university-dissertation
Combining Machine Learning Techniques with Multi-Objective evolutionary Algorithms to Solve Real World Engineering Problems
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https://github.com/dulajkavinda/numpy-ml
π’ Calculations with NumPy library.
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https://github.com/arjunravi26/selenium
This repository contains code from my learning about Selenium for web scraping and automation.
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https://github.com/navindafernando/character-recognition
Sinhala Character Recognition using KNN :coffee:
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This is the section for python practice, where we engage in programming exercises to improve our Python skill.
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Python reference code for data visualization, machine learning and SQL
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https://github.com/alphacrypto246/air-quality-prediction
The Air Pollution Prediction project forecasts pollution levels using the Air Quality UCI dataset, including variables like CO, NOx, temperature, and humidity. It analyzes temporal and environmental factors to predict air quality trends.
machine-learning numpy pandas scikitlearn-machine-learning sckiit-learn
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https://github.com/1adityakadam/computer-vision-approach-for-quality-inspection-of-steel-sheets
Machine Learning and Computer Vision project improves steel defect inspection using computer vision. A segmentation technique partitions steel sheet images into regions, enabling better defect analysis. U-Net is used for segmentation, and MobileNetV2 for classification. Performance is evaluated with the Dice Coefficient.
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https://github.com/686f6c61/numeros-primos-gemelos
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https://github.com/dawoudtormos/rain_predicition_ml
This repository contains a machine learning project for rain prediction using historical meteorological data. The goal is to predict whether it will rain the next day based on weather measurements like atmospheric water vapor, cloud formation, and past rainfall records.
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This project is an NLP-based Question-Answering System that leverages machine learning and natural language processing techniques to provide answers to user queries based on a given context or dataset. The system processes textual input, extracts meaningful insights, and returns relevant answers to the user's question.
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FastAPI-based web application that fetches and visualizes climate data from the Copernicus Climate Data Store (CDS).
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https://github.com/shibam120302/all_about_python
Here I upload python from basic to advance ,oops in python, dsa using python system design, numpy, pandas, data science, ML also. Follow @shibam120302 and star this repo.
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Many email services today provide spam filters that are able to classify emails into spam and non-spam email with high accuracy.
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https://github.com/jjerphan/joml
A minimalist numpy-baked Neural Network API
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https://github.com/kartmaan/plotly-intervals
Group values from a Pandas Series according to given intervals and represent them graphically with Plotly
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https://github.com/m1-elmasry/quickmark
Efficient OMR software designed for quick and precise grading of bubble sheet exams.
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CHECKIG
matplotlib-pyplot numpy pandas python
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https://github.com/niteshchawla/loantap-logisticregression
Given a set of attributes for an Individual, determine if a credit line should be extended to them. If so, what should the repayment terms be in business recommendations?
confusion-matrix encoding feature-engineering featureimportance hyperparameter-tuning logistic-regression machine-learning numpy pandas-python precision-recall roc-auc-curve sklearn-metrics smote-sampling
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https://github.com/sahil210695/convolution-evolution
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cnn convolutional-neural-networks data-science image-kernel image-processing numpy numpy-neural-network python streamlit
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https://github.com/andersoncrs/aprendizaje_no_supervisado_kmeans_customers
Este repositorio contiene un anΓ‘lisis de datos de clientes de un centro comercial utilizando tΓ©cnicas de aprendizaje no supervisado, especΓficamente K Means y clustering jerΓ‘rquico. El objetivo del proyecto es segmentar a los clientes en grupos homogΓ©neos para entender mejor sus comportamientos y caracterΓsticas.
data-analysis kmeans-clustering matplotlib numpy seaborn visualization
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https://github.com/velascort/image_equalizer_gui
Image equalizer using LUT interface.
image-processing lut numpy python scikit-image ttk
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https://github.com/saagnik-mondal/chessengine
This is a simple and efficient chess engine implemented entirely in Python. It allows users to play chess against the computer, using an AI based on a Minimax algorithm with Alpha-Beta pruning for decision-making. The engine is designed to be easy to understand, extend, and play against the computer.
Last synced: 10 May 2026
https://github.com/shriansh2002/stock-prediction
This project predicts Apple stock prices using linear regression. It's based on historical stock price data and uses Python and popular data science libraries like Pandas, NumPy, Matplotlib, and scikit-learn.
apple datascience finance linearregression machinelearning matplotlib ml numpy pandas prediction python scikitlearn stock-prediction stockmarket
Last synced: 10 May 2026
https://github.com/jsnevt/regressao_logistica
CΓ‘lculos de probabilidades sobre uma eleiΓ§Γ£o
matplotlib numpy pandas-dataframe python
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https://github.com/iamfarrokhnejad/neural-network
A simple neural network without reliance on any NN library.
classification matplotlib mnist mnist-classification mnist-dataset mnist-handwriting-recognition neural-network neural-networks neuralnetwork neuralnetworks numpy pandas python
Last synced: 11 May 2026
https://github.com/adityarohatgi11/regression_analysis_london_crime
This project examines how police presence impacts crime rates in London using regression analysis, panel data, and a natural experiment from the 2005 London attacks.
data-wrangling numpy pandas regression-analysis statsmodels
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https://github.com/monarch1108/customerinsights-kmeans
understanding customers using KMeans and RFM(recency, frequency & monetary) analysis
data-analysis data-visualization kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn
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https://github.com/9bow/deep-learning-from-scratch
examples in the book
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https://github.com/baschin1103/machine-learning-linear-regression-tsi
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csv linear-regression machine-learning numpy pandas python statistics
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https://github.com/akashash01/decision_tree
A very specific type of probability tree that enables you to make a decision on certain process(chance event outcomes, resources cost, utility).
data-science decision-tree-classifier machine-learning numpy pandas-dataframe python sklearn
Last synced: 11 May 2026
https://github.com/mihirh19/uber-analysis
Uber's 2016 dataset analysis offers insightful information about the company's operations and user behaviour. Patterns and trends can be discovered by looking at variables like trip time, distance travelled, and pickup/drop-off locations. Uber may use this information to detect high-demand locations, increase overall efficiency, and optimise driver
matplotlib numpy opendatasets pandas seaborn
Last synced: 11 May 2026
https://github.com/omogbolahan94/google-play-store-app-analysis
Data exploration, data cleaning, interactive data visualisation and insight presentation
matplotlib numpy pandas plotly
Last synced: 11 May 2026
https://github.com/khalidelboray/image_processing
Notes about image processing
image-processing numpy python3
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https://github.com/samuel-schlemper-schlemuel/calculadora-de-media-variancia-e-desvio-padrao
Esse Γ© um projeto do currΓculo do curso de analise de dados do FreeCodeCamp
Last synced: 11 May 2026
https://github.com/daksh90a/wine-quality-analysis
The Wine Quality Analysis project is an AI/ML-based data analysis initiative aimed at predicting and understanding the factors that influence the quality of wine.
matplotlib-python numpy pandas seaborn
Last synced: 12 May 2026
https://github.com/chandkund/movie-recommender-system
Unlocking the magic of personalized movie recommendations! This project uses the Cosine Similarity Algorithm to suggest movies based on user-selected titles, making movie discovery more enjoyable.
cosine-similarity matplotlib nltk numpy pandas-python seaborn
Last synced: 12 May 2026
https://github.com/tfiers/unitlib
π Physical units for NumPy arrays \ β± Fast β’ Simple β’ High voltage
numpy python scientific-computing unitlib units
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https://github.com/mituskillologies/dkte-da-mar25
Programs conducted at DKTE's Engineering Institute, Ichalkaranji in training on Python Data Analytics March 2025.
data-analysis matplotlib numpy pandas python-programming tkinter-python
Last synced: 13 May 2026
https://github.com/jbizzlefoshizzle/weather_trends_vs_latitude
Pandas project analyzing possible correlation between latitude and max. temperature, wind speed, cloudiness, and humidity
json-api jupyter-notebook matplotlib-pyplot numpy weather-information
Last synced: 13 May 2026
https://github.com/asuquoaa/big_4_sports_teams_and_city_population_analysis-2018-
Analysis of sports teams' win/loss ratios vs. metro area populations across NFL, NBA, MLB, and NHL.
data-cleaning-and-preprocessing numpy pandas
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https://github.com/gmcgibbon/udacity-dlnd-project-1
Udacity Deep Learning Nanodegree - Project 1
deep-learning jupyter-notebook nn numpy udacity
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https://github.com/prathicashettym/agriculturallanddetection
6th Semester SDG EL
flask keras matplotlib numpy pandas python seaborn streamlit tensorflow
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https://github.com/maroshmka/np-mlp-clf
Raw implementation of mlp classifier in python using numpy.
classification example-code learning machine-learning multilayer-perceptron neural-network numpy
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https://github.com/neelimabonangi/defect-detection-hot-rolling
Defect Detection in Hot Rolling Using Machine Learning
classification data-analysis data-science defect-detection jupyter-notebook machine-learning manufacturing numpy pandas predictive-analytics python random-forest scikit-learn
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https://github.com/khushi130404/gradient_realm
Gradient_Realm is a Python project exploring regression techniques and optimization methods like Regularization, Batch, Stochastic, and Mini-batch Gradient Descent. It uses scikit-learn and custom implementations for hands-on learning.
batch-gradient-descent mini-batch-gradient-descent numpy stochastic-gradient-descent
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https://github.com/goessl/complex-random
A package for the most basic complex random sampling.
complex complex-numbers complex-plane normal-distribution numpy pip python random random-number-generator uniform-distribution unit-circle
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https://github.com/pnguyen215/pycelize
Pycelize is a Flask application designed for processing Excel and CSV files. It provides RESTful APIs for common data operations including extraction, normalization, mapping, SQL generation, and file binding.
excel lib numpy openpyxl pandas py-app pycelize python-service python3
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https://github.com/dino-kupinic/pocolocosolver
algorithmic solution with 3D visualization
algorithms numpy panda3d puzzle pytest python solver
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https://github.com/jayemscript/lab-to-code
A complete Python learning roadmap for scientists and researchers β covering data science, biology, chemistry, physics, and mathematics with curated libraries, tools, and resources.
bioinformatics chemistry data-science jupyter-notebook machine-learning mathematics numpy pandas physics python research roadmap scientific-computing scikit-learn
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https://github.com/williyam-m/sentiment_analysis
A Django-based Sentiment Analysis web app leveraging the power of the BERT transformer model to classify text sentiment accurately.
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https://github.com/huzaifa12466/neuralnetscratch
A simple neural network implemented from scratch in Python using NumPy, trained on the Moons dataset
artificial-intelligence artificial-neural-networks backpropagation deep-learning forwardpropagation machine-learning matplotlib neural-network neural-networks numpy
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https://github.com/gerardomacedo/ml-from-scratch
Logistic regression from scratch (NumPy) with tests and CLI; compared vs scikit-learn
ci-cd from-scratch logistic-regresion machine-learning numpy python unittest
Last synced: 23 Jun 2026
https://github.com/lmlk-seal/pyspeed
Intelligent Python Performance Optimization Tool Automatically profile, analyze, and accelerate your Python code with minimal effort.
analyzer customtkinter gui intelligent numpy optimization optimization-tools performance python real-world-problem-solving
Last synced: 23 Jun 2026
https://github.com/fasih-khan99/resume-screening
AI-Powered Resume Screener & Ranker
ai logistic-regression nltk numpy pandas python resume-screening spacy-nlp
Last synced: 08 May 2026
https://github.com/alphan26/optimal-logistics-locator
This is a project in which we estimate the biomass avaibility of places due to their index and determine the optimal preprocessing depot and biorafinery in Gujarat, India
numpy pandas python sckit-learn
Last synced: 04 May 2026
https://github.com/pabs-code/img-cartoonizer-using-opencv
A streamline app using 3 ways to cartoonized an image using OpenCV and Python.
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https://github.com/asuquoaa/applied_data_science_with_python_study
Notes, codes and practicals on the Applied Data Science with Python specialization by UM
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https://github.com/kaungkhantkyaw1997/face_recognition
A Computer Vision tool designed to identify and recognize characters in images.
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https://github.com/dmkk01/mlp-python
Implementation of a multilayer perceptron using Pytorch and Numpy libraries
Last synced: 05 May 2026
https://github.com/lorenzorottigni/ml-missing-values
Machine Learning course of Piero Savastano 5: ColumnTransformer, SimpleImputer, numpy
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https://github.com/lin826/nanogpt-demo
Training and finetuning local GPTs.
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https://github.com/jokoum/sentiment-classification
Multi-layer Perceptron classification of product reviews written in Greek language
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https://github.com/navindafernando/face-recognition
Training a SVM Pipeline for Face Recognition :anger:
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https://github.com/thekartikeyamishra/object-detection-for-retailer
The AI Customer Feedback Summarizer is a Python-based tool that uses extractive summarization techniques to provide concise summaries of customer feedback.
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