NumPy
NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/dpgitaccount/project---hospital-readmission-analysis
The goal of this project is to build a predictive model to estimate the likelihood of a hospital readmission based on patient data. By identifying factors that contribute to readmissions, hospitals can optimize care and reduce costs associated with repeated visits.
boxplot confusion-matrix datamodeling exploratory-data-analysis heatmap histplot numpy pandas plotly python random-forest seaborn smote-sampling visualization
Last synced: 16 Apr 2026
https://github.com/project54321/stocksniper
"An interactive Stock Dashboard that visualizes historical prices, calculates key financial metrics, displays fundamental statements, and aggregates the latest news for any ticker — all in a sleek, easy-to-use Streamlit interface."
alphavantage finance numpy pandas plotly pypi python stock-market stocknews streamlit
Last synced: 11 Apr 2026
https://github.com/harmonicode/signal_equalizer
Signal Equalizer is a Python-based application designed to process and analyze various types of signal data, including audio and ECG signals. It provides functionalities for reading, processing, visualizing, and enhancing signal data using techniques such as Wiener filtering.
audio-processing numpy pyqt5 scipy signal-processing wiener-filter
Last synced: 13 Feb 2026
https://github.com/athari22/mean-normalization
Mean Normalization
jupyter-notebook mean normalization numerical-analysis numpy numpy-exercises python python3
Last synced: 20 Jan 2026
https://github.com/alexsolov28/ml_course
Курс "Технология машинного обучения"
colab-notebooks jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
Last synced: 05 Apr 2025
https://github.com/maia-bastos/estimativas
Projeto de Probabilidades, Amostragem e Estimações com dados reais (IBGE).
numpy pandas python3 scipy-stats
Last synced: 16 Apr 2026
https://github.com/separatrixxx/nm_labs_6_7_sem
👓 Laboratory work for 6 and 7 semesters of MAI on numerical methods
numerical-methods numpy python
Last synced: 16 Apr 2026
https://github.com/lexxai/goit_python_ds_hw_09
Модуль 9. Підбір гіперпараметрів НМ. Глибоке навчання. Tensorflow. Keras.
adam-optimizer data-science google-colab keras keras-tensorflow numpy python
Last synced: 16 Apr 2026
https://github.com/islamshahil/neuralnetworks
Hello World to Neural Network.
deeplearning neural-network numpy python
Last synced: 16 Apr 2026
https://github.com/rakesh3596/tutedude_projects
It consist of 3 major project 1:Covid19 Analysis 2:Rainfall Prediction 3:Tumor Detection
csv-files matplotlib numpy pandas plotly python sklearn-library
Last synced: 16 Apr 2026
https://github.com/vgvr0/analisis-de-datos-con-streamlit-numpy-pandas-y-matplotlib
Sistema completo de análisis y visualización de datos cinematográficos que proporciona insights detallados sobre películas, incluyendo análisis financiero, puntuaciones, tendencias temporales y un sistema de recomendación. Desarrollado con Python y Streamlit, ofrece una interfaz interactiva y amigable para explorar datos de películas.
matplotlib numpy pandas plotly plotly-dash recommendation-system streamlit
Last synced: 16 Apr 2026
https://github.com/arn4/labtools
Package with useful scripts for Physics Laboratory Courses
numpy python3 scipy uncertainties
Last synced: 05 Jan 2026
https://github.com/saliola/nonnegative_integer_matrices
code to generate and count nonnegative integer matrices with prescribe row and column sums (aka contingency tables)
cython cython-examples numpy numpy-examples python3
Last synced: 18 Apr 2026
https://github.com/manalisbhavsar/mall-customers-clustering
K-Means clustering to mall customer data, segmenting customers based on their annual income and spending score. To identify patterns and group customers for targeted marketing.
data-analysis data-visualization matplotlib numpy pandas python scikit-learn
Last synced: 18 Apr 2026
https://github.com/lijesh010/ml_project_data_preprocessing
The main objective of this project is to design and implement a robust data preprocessing system that addresses common challenges such as missing values, outliers, inconsistent formatting, and noise. By performing effective data preprocessing, the project aims to enhance the quality, reliability, and usefulness of the data for machine learning.
data-cleaning data-exploration data-preprocessing machine-learning numpy pandas-python python scikit-learn
Last synced: 11 Apr 2026
https://github.com/andreashovaldt/simple-neural-network
A simple neural network, created with numpy, based on Stochastic Gradient Descent, used for classifying the MNIST dataset
mnist-classification neural-network numpy stochastic-gradient-descent
Last synced: 16 Apr 2026
https://github.com/codersales/machine-learning-project
Machine Learning Project
code data-science filtered-4 jupyter last-quarter machine-learning not-this-month numpy over-100-commits pandas pseudo-current python repository-6 scikit-learn sub-critical supervised supervised-learning
Last synced: 02 Mar 2026
https://github.com/codersales/machine-learning-classification
machine learning jupyter notebooks | data-science | priority | relevant | significant | green-light | 1 | may-2023-filtered | may-2023-filtered-2 | may-2023-filtered-3 | filtered-4 | frequent
authorized classification current decision-tree ensemble-techniques jupyter machine-learning more-than-100-commits more-than-300-commits numpy pandas python3 ranked repository-5 seaborn sklearn stacking sub-critical supervised-learning workstation
Last synced: 07 Mar 2026
https://github.com/limix/ndarray-listener
Implementation of the Observer pattern for NumPy arrays.
Last synced: 14 Feb 2026
https://github.com/sufiyan1803/student-result-analysis
This project explores student exam data to find out what affects their scores. It covers everything from cleaning the data to analyzing score distributions, the effects of parental education and marital status, and comparisons by gender and lunch type. It’s a great way to see how different factors influence student performance.
matpolotlib numpy pandas python
Last synced: 03 Feb 2026
https://github.com/amiridk/machinelearning
machine-learning-notes
matplotlib-pyplot numpy pandas pyhton
Last synced: 04 May 2026
https://github.com/kavayk29/speech-recognition-using-tdnn-and-data-augmentation
Developed a speech recognition system using TDNN, preprocessing audio, extracting MFCC features, and training the model. Fine-tuning with augmented data (19,000 rows) improved accuracy from 9% to 80% training and 40% validation. Data augmentation proved crucial for enhancing model performance and generalization. Still working to increase the acc.
deep-learning keras-tensorflow numpy os pandas tdnn tensorflow
Last synced: 14 Feb 2026
https://github.com/mattia-hulathduwage/wine-quality-analyzer
A machine learning project that analyzes wine quality using clustering, regression, and classification techniques. The model predicts wine quality scores based on chemical properties and determines the most influential features affecting quality.
machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 16 Apr 2026
https://github.com/jass024/bitcoin-historical-analysis
Performed comprehensive time-series analysis on 14+ years of Bitcoin historical data using Python (Pandas, NumPy, Plotly). Calculated key technical indicators (SMA, EMA, RSI, volatility) to identify market trends, potential anomalies, and areas of regulatory concern. Visualized results using interactive Plotly charts.
Last synced: 18 Apr 2026
https://github.com/saurabh274/netflix-eda
Analyze the data and generate insights that could help Netflix in deciding which type of shows/movies to produce and how they can grow the business in different countries.
matplotlib numpy pandas python seaborn
Last synced: 28 Feb 2026
https://github.com/emhash/numpy-tutorial
Just simple tasks of practice of NumPy library of python
numpy numpy-library numpy-tutorial python
Last synced: 11 Apr 2026
https://github.com/shreyasmehta05/sortsync
A custom sorting algorithm combining parallel merge and count sort, with detailed performance comparisons against standard sorting techniques.
Last synced: 04 Feb 2026
https://github.com/abideen-olawuwo/converted-logistic-regression
Converted Prediction Model
logistic-regression numpy pandas sklearn
Last synced: 10 Apr 2026
https://github.com/killervardhan8/gesturedecode
The Sign Language Interpretation project focuses on recognizing and interpreting hand gestures to facilitate communication for individuals who use sign language. This project leverages computer vision and machine learning techniques to accurately identify and translate hand signs into text
csv mediapipe numpy python tensorflow
Last synced: 28 Feb 2026
https://github.com/mchenryspagg/economic-variable-correlation-and-productivity-model
This report provides an in-depth analysis of Nigeria's economic performance over the past decade, spanning from 2014 to 2024.
correlation exchangerates inflation moneysupply numpy productivity python regression regression-analysis regression-models visualization
Last synced: 15 Feb 2026
https://github.com/awaisfraaz/python-libraries
Here’s a repository description for a project where youA repository dedicated to exploring and experimenting with Python’s main libraries, featuring sample code, documentation, and practical examples for learning and reference.
matplotlib numpy pandas python seaborn
Last synced: 15 Feb 2026
https://github.com/patilsukanya/assignment-07-clustering-q2-crime
Used libraries and functions as follows:
clustering-algorithm dbscan eda groupby-method matplotlib-pyplot numpy pandas python scatter-plot sklearn standard-scaler
Last synced: 11 Apr 2026
https://github.com/shwetapardhi/assignment-03-q1--hypothesis-testing
Q1.A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validit
hypothesis-testing numpy p-value pandas python scipy significance-testing stats t-test
Last synced: 11 Apr 2026
https://github.com/ahsouza/timenow
API Laravel & SPA Vue.JS containerized
docker docker-compose dockerfile laravel mysql-database nginx nodejs npm numpy php7 pyaudio python3 security-tools shell-script vagrant vuejs vuesax vuex vuex-store zenity
Last synced: 04 Apr 2026
https://github.com/ben854719/trade-transfer-workflow-optimizer
This AI portfolio tools securely analyzes asset allocation, sector exposure, and performance. Its graph compares real and predicted close prices, enhanced with sentiment indicators such as “Confident” and “Surprised.” An avatar assistant provides user guidance combining technical accuracy with intuitive explanations.
agentic-ai avatar cryptography emotion-analysis encryption gemini json langgraph langraph machine-learning-algorithms matplotlib mcp-server numpy opencv-python pandas python pytorch rs256 seaborn
Last synced: 15 Feb 2026
https://github.com/andersoncrs/prediccion_precio_vehiculos_statsmodels
Este proyecto utiliza un modelo de regresión lineal para predecir el precio de vehículos basándose en sus características principales. El análisis incluye la definición del problema, exploración y limpieza de datos, conversión de variables categóricas a numéricas, evaluación de correlaciones y entrenamiento del modelo.
analisis-de-datos analisis-exploratorio-de-datos matplotlib numpy seaborn statsmodels visualizacion-de-datos
Last synced: 26 Apr 2026
https://github.com/shwetapardhi/assignment-2-set1-q1-basic-statistic-level-2
Plot the data, find the outliers and find out μ,σ,σ^2
boxplot matplotlib-pyplot mean numpy pandas pie-chart python seaborn standard-deviation variense
Last synced: 16 Apr 2026
https://github.com/nagar2nd/ml-regressionmodel---cardekho-price-prediction
This repository features a machine learning model for predicting used car prices using data from CarDekho.com. The project leverages exploratory data analysis and regression techniques to empower sellers and buyers with actionable insights in the Indian used car market.
analytics cleaning-data data linear-regression machine-learning matplotlib numpy pandas python seaborn
Last synced: 16 Apr 2026
https://github.com/udhaya2823/dataspark-illuminating-insights-for-global-electronics
✨DataSpark✨ is a powerful analytics project transforming raw retail data into actionable insights for Global Electronics. By leveraging Python, SQL, and interactive visualizations, it uncovers trends in customer behavior, sales performance, and product popularity, driving smarter business decisions and boosting growth.
data-science data-visualization database-management datacleaning exploratory-data-analysis matplotlib numpy pandas powerbi python seaborn sql version-control
Last synced: 11 Apr 2026
https://github.com/justin-marian/numpy-mlp
MLP from-scratch implementation only with NumPy, it supports regression and classification tasks.
classification lasso mlp numpy r2-score regression ridge
Last synced: 16 Feb 2026
https://github.com/bhawnamehbubani/advanced-zomato-restaurant-clustering-and-sentiment-analysis
This project leverages this data to perform clustering and sentiment analysis, providing actionable insights for customers and business growth.
matplotlib-pyplot nltk numpy pandas seaborn sklearn wordcloud
Last synced: 05 May 2026
https://github.com/davityak03/customer-churn-model-using-ann
ann elu keras leaky-relu matplotlib-pyplot numpy pandas prelu python seaborn
Last synced: 10 Apr 2026
https://github.com/erikbrinkman/hilbert-bytes
A python library for converting between d-dimensional points and indices on a hilbert curve
hilbert-curve numba numpy python
Last synced: 08 May 2025
https://github.com/type0-1/salary-truth-predictor
A supervised machine learning regression model. Includes problem statement, approach to solution, code, images, dataset, and Jupyter Notebook for interactive analysis.
linear-regression machine-learning matplotlib-pyplot ml numpy pandas polynomial-regression projects scikitlearn-machine-learning support-vector-regression
Last synced: 16 Apr 2026
https://github.com/tomaslopera/truncamiento
matplotlib modeling-and-simulation numpy scipy seaborn
Last synced: 16 Apr 2026
https://github.com/matbesancon/kaggle-digit-recognizer
Some tests with the Kaggle Digit Recognition challenge
image-processing kaggle kaggle-digit-recognizer machine-learning mnist-dataset numpy pandas python scikit-image scikit-learn
Last synced: 11 Apr 2026
https://github.com/jessicahora/studies-on-linear-algebra
Repositorio com Estudos sobre Algebra Linear.
linalg linear-algebra matplotlib-pyplot matrix numpy python scipy
Last synced: 01 Mar 2026
https://github.com/andryadsm/predicting-house-prices
🏘️ Project Predicting House Prices (Python)
data-analysis data-preprocessing data-visualization feature-engineering house-prices machine-learning matplotlib numpy pandas python real-estate seaborn sklearn
Last synced: 04 Apr 2026
https://github.com/aaaastark/twitter_sentiment_analysis
Twitter Sentiment Analysis
csv database machine-learning matplotlib numpy pandas python python3 sentiment-analysis sklearn tensorflow text-classification twitter twitter-sentiment-analysis
Last synced: 04 Apr 2026
https://github.com/hafidaso/predicting-industrial-machine-downtime-level-3
This project aims to develop a predictive model using machine learning techniques to forecast machine failures based on historical operational data.
imbalanced-learning numpy pandas python scikit-learn seaborn xgboost
Last synced: 16 Apr 2026
https://github.com/bunu23/image-classification
This repository contains a notebook implementing a Convolutional Neural Network for multi-class image classification using transfer learning with a pre-trained ResNet-50 model. Covers dataset handling, model architecture customization, training, evaluation, fine-tuning, and external image prediction.
keras matplotlib numpy pil python tensorflow
Last synced: 11 Apr 2026
https://github.com/thoughtscript/python_api_2023
Some fun with Flask, Python, and Machine Learning
angular docker docker-compose flask machine-learning mysql numpy
Last synced: 04 Apr 2026
https://github.com/tansudasli/tensorflow-sandbox
all about machine learning
apache-arrow keras machine-learning numpy pandas scikit-learn tensorflow2
Last synced: 16 Apr 2026
https://github.com/sasanka14/water_quality_predictions
Water Quality Prediction - College Project 🌊💧 Predicts water potability (safe/unsafe) using ML models like XGBoost & Random Forest. Features data preprocessing, feature importance, model evaluation, and visualizations. Built with Python, Pandas, Scikit-learn & Seaborn for analysis. 🚀
anaconda jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn xgboost
Last synced: 16 Apr 2026
https://github.com/ksasi/smartcab
machine-learning numpy pandas python reinforcement-learning scikit-learn
Last synced: 16 Apr 2026
https://github.com/dastogirrudro/machine-learning-and-deep-learning
This is my thesis project which i have done in varsity.Here i used machine learning and deep learning i used LSTM as deep learning.This can identify aggresive spam message. Here i used pandas scikit-learn and many more framework i used python as a programming language.I used many algorithm for highering the accuracy of my project.
deep-learning lstm machine-learning numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/ricky1984a/customer_analytics
Customer Analytics
kneed machine-learning matplotlib-pyplot numpy pandas python scipy seaborn sklearn
Last synced: 13 Apr 2026
https://github.com/awanraskall/retail-demand-analysis
Data analysis of retail meal orders, fulfillment centers, and product demand using Python
data-analysis data-visualization jupyter-notebook numpy pandas python
Last synced: 18 Apr 2026
https://github.com/anujdutt9/reinforcement_learning
Reinforcement Learning using Numpy and PyTorch.
numpy python3 pytorch reinforcement-learning
Last synced: 16 Apr 2026
https://github.com/allanreda/telco-customer-churn-predictor-app
A web-based machine learning application that predicts customer churn using a logistic regression model. Built with Scikit-Learn for model training, Gradio for the user interface, and deployed on Google Cloud App Engine. The app allows users to input customer data and receive predictions on churn risk to support business decision-making.
app-engine data-visualization deployment google-cloud gradio hyperparameter-tuning logistic-regression machine-learning numpy pandas scikit-learn
Last synced: 16 Apr 2026
https://github.com/lorenzorottigni/ml-advertising
Machine Learning python bootcamp: logistic regression on advertising dataset
ipynb logistic-regression machine-learning numpy pandas python scikit-learn seaborn
Last synced: 16 Apr 2026
https://github.com/williyam-m/movie_booking_app
A Django-based movie booking app featuring an admin dashboard with CRUD functionality for movies, theatres, screens, shows, and bookings. Includes an ML-powered movie recommendation system.
django machine-learning numpy orm pandas python sckiit-learn sqlite3
Last synced: 16 Apr 2026
https://github.com/pramodyasahan/health-insurance-cost-prediction
This project focuses on predicting health insurance costs using a polynomial regression model. By employing machine learning techniques in Python, the project aims to accurately estimate insurance costs based on various personal attributes. The model takes into account several features including age, sex, BMI, number of children, smoking status etc
machine-learning matplotlib numpy pandas python3 scikit-learn
Last synced: 16 Apr 2026
https://github.com/arnoldchrisoduor1/potato_disease
Trained a CNN to detect the presence and the current stage of Blight disease in potatoes, WebApp in FastAPI and React
fastapi keras numpy react serving-tensors tensorflow
Last synced: 04 Apr 2026
https://github.com/5hraddha/sda-megaline-the-best-plan
Megaline is a telecom operator and it offers its clients two prepaid plans, Surf and Ultimate. The commercial department wants to know which of the plans brings in more revenue in order to adjust the advertising budget.
data-visualization hypothesis-testing matplotlib numpy pandas scipy seaborn statistical-data-analysis
Last synced: 16 Apr 2026
https://github.com/eljandoubi/predict-customer-churn-with-clean-code
Clean Code Principles
autopep8 logging numpy pandas pylint pytest scikit-learn
Last synced: 16 Apr 2026
https://github.com/hygull/trypandas
A repository containing Python pandas and other data science related sources and other resources used to work with pandas, numpy, matplotlib etc.
matplotlib numpy pandas python3
Last synced: 16 Apr 2026
https://github.com/hibashajahan55/python-abc-company-analysis
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 16 Apr 2026
https://github.com/reshmaaiman/liver-patient-prediction
Liver Disease Prediction
data data-science data-visualization dataanalysis jupyter-notebook numpy pandas python seaborn
Last synced: 16 Apr 2026
https://github.com/urvee1810/air-quality-prediction-using-arima
Analyzed Beijing's air quality data using time series analysis and ARIMA modeling to forecast PM2.5 pollution levels. Identified seasonal patterns and correlations between pollutants, revealing insights into urban air quality trends and potential contributing factors.
arima-model dickey-fuller-test matplotlib numpy pandas python seaborn statistical-analysis time-series-analysis
Last synced: 16 Apr 2026
https://github.com/ricardorobledo/ml_optimization
matplotlib numpy python scikit-learn xgboost
Last synced: 11 Apr 2026
https://github.com/aadityasikder/neural-network-from-scratch-
This notebook demonstrates a neural network implementation using NumPy, without TensorFlow or PyTorch. Trained on the MNIST dataset, it features an architecture with input layer (784 neurons), two hidden layers (132 and 40 neurons), and an output layer (10 neurons) with sigmoid activation.
backward-propagation evaluation forward-propagation mnist-dataset neural-network neural-networks-from-scratch numpy training
Last synced: 16 Apr 2026
https://github.com/toluwalase-taiwo/ml-zoomcamp
Machine learning repository
algorithms jupyter-notebook machine-learning matplotlib numpy pandas python3 scikit-learn
Last synced: 11 Apr 2026
https://github.com/anmolbansal7/lost-and-found
Content-Based Image Retrieval
content-based-image-retrieval flask keras-tensorflow matplotlib numpy pillow similarity-measures webapp
Last synced: 05 Apr 2026
https://github.com/mnitin-reddy/collaborative-filtering-based-recommendation-system
This project is a Book Recommendation System that uses two main approaches: Popularity-Based and Collaborative Filtering. It recommends top books based on their rating frequency and average ratings, and also provides personalized book suggestions by analyzing user interactions.
collaborative-filtering numpy pandas popularity-based-recommendation python recommendation-system scikit-learn
Last synced: 11 Apr 2026
https://github.com/soumyapro/wine-quality-prediction
This project is about the prediction of wine quality using machine learning algorithms
boxplot matplotlib numpy pandas random-forest smote
Last synced: 10 Apr 2026
https://github.com/magnusrodseth/disaster-tweets
📚 Assignments in the course IT3212 - Data Driven Software at NTNU. Our task is to classify whether a tweet is related to a disaster or not.
adaboost jupyter-notebook logistic-regression numpy pandas python python3 random-forest support-vector-machines xgboost
Last synced: 16 Apr 2026
https://github.com/ashwin331133/liver_disease_detection
This dataset consists of 416 liver patient records and 167 non-liver patient records collected from North East of Andhra Pradesh, India. And The main objective of this project is to use classification algorithms to detect liver patients from healthy individuals.
data-visualization machine-learning numpy pandas python
Last synced: 16 Apr 2026
https://github.com/sahilk12nayak/hyperspectral-corn-don-prediction-project
This project contains a machine learning pipeline for predicting DON (vomitoxin) concentration in corn samples using hyperspectral imaging data.
matplotlib numpy pandas python scikit-learn seaborn tensorflow
Last synced: 10 Apr 2026
https://github.com/omarsaad21/rfm-clustering-
A full Data science and deployment project focusing on Data analysis and ML ( create a customer segmentation model to recommend the best merchants for each user as targetted offers)
business-solutions data-science eda numpy pandas plotly python sickit-learn streamlit
Last synced: 11 Apr 2026
https://github.com/bvsam/nnfs
Basic neural network built using Python and Numpy. Created to better understand neural networks.
artificial-intelligence deep-learning machine-learning neural-network neural-networks numpy python3
Last synced: 18 Apr 2026
https://github.com/allanotieno254/pneumonia-xray-classification
This project is a Deep Learning-based Pneumonia classification system that allows medical staff to upload chest X-ray images and quickly determine whether a patient shows signs of pneumonia.
keras machine-learning numpy pandas pil pillow python streamlit streamlit-webapp
Last synced: 10 Apr 2026
https://github.com/sc0v0ne/ai-discipline-work
AI Discipline Work - Movie recommendation
jupyter-notebook machine-learning numpy pandas python python3
Last synced: 15 Apr 2025
https://github.com/bzubs/mlzero
Implementation of widely used ML algorithms in vanilla python
machine-learning machine-learning-algorithms machinelearning numpy python statistics
Last synced: 03 Mar 2026
https://github.com/mohamed15058/text_classification-digital-egypt-pioneers-initiative-project-
Text_Classification(Digital-Egypt-Pioneers-Initiative-Project )
depi mlops nlp nltk numpy panadas python3 twnsorflow
Last synced: 10 Apr 2026
https://github.com/crvargasm/moore-penrose-matrix
A small implementation of an algorithm that is capable of computing the Moore-Penrose inverse of any matrix.
numerical-methods numpy python
Last synced: 10 Apr 2026
https://github.com/hussain-7/emotion_detection-master
Human Emotion Analysis using facial expressions in real-time from webcam feed. Based on the dataset from Kaggle's Facial Emotion Recognition Challenge.
keras-tensorflow matplotlib numpy opencv-python tensorflow
Last synced: 08 May 2026
https://github.com/vansh-py04/data-analysis-questions-pandas-numpy-sql
Solution to 450+ Data Science Tech Stack questions essential for Data Analysts and Scientists!
data-analysis data-science deepnote machine-learning numpy pandas python sql
Last synced: 18 Apr 2026