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/kokila-m/data-quality-check-script-using-python
matplotlib numpy pandas python seaborn
Last synced: 17 Apr 2026
https://github.com/tashi-2004/deep-learning-grid-world-q-learning
Deep Learning Grid World Q-Learning . Implement Q-learning in a 5x5 grid where an agent navigates obstacles and rewards. Train the agent with varying learning rates, visualize its progress, and see Q-values as heatmaps. Run the script to start training and view results. Contributions are welcome!
agent-based-modeling artificial-intelligence deep-learning deep-q-learning exploitation exploration machine-learning machine-learning-algorithms matplotlib-pyplot numpy python q-learning q-learning-algorithm reinforcement-learning reinforcement-learning-algorithms state-value-function training
Last synced: 17 Apr 2026
https://github.com/antonio-f/regularization-methods
Shrinkage methods: Ridge Regression and Lasso
lasso lasso-regression machine-learning numpy python regularization ridge-regression scikit-learn
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https://github.com/mgitrov/cnn-on-cifar-10
A computer vision project aiming to classify random images uploaded by the user.
artificial-neural-networks computer-vision convolutional-neural-networks deep-learning keras matplotlib numpy pil regularization tkinter
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https://github.com/shhiivvaam/regression
Linear Regression Model
linear-regression numpy python
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https://github.com/jjwizardmp/a-start-search-python
Python project where the 'A Start Search' algorithm and a simulation of the agent's path with animations were implemented.
cv2 ipython iterto jupyter-lab jupyter-notebook mathplotlib numpy pip python python-env python3
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https://github.com/macnianios/retail_sales_analysis
final data science project on techpro academy data science stream
anova clustering colab-notebook data-analysis data-science data-science-projects linear-regression numpy pandas python
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https://github.com/prcharan592/social-media-sentiment-analysis
Social media sentiment analysis using tweets involves analyzing tweet data to determine public sentiment (positive, negative, or neutral) using natural language processing (NLP) and machine learning techniques.
data-visualization machine-learning matplotlib nlp nltk numpy pandas python3 sentiment-analysis spacy tweets
Last synced: 04 Apr 2026
https://github.com/compcode1/nfl-analysis
The objective of this analysis was to explore potential correlations between player attributes (such as average age and weight across different positions) and key team performance metrics from the 2023 NFL season.
datacleaning datanormalization numpy pandas pearson-correlation-coefficient pvalues
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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
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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
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https://github.com/gregoritsch3/ml_clustering_eda_customersegmentation
An EDA and Machine Learning Clustering exercise on the Mall Customer Segmentation synthetic dataset demonstrating the use of KMeans Clustering and the Elbow Method. The clustering algorithm successfully segments the customer base into groups distinguishable by their annual income and spending score.
clustering kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn
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https://github.com/mnitin-reddy/a-b-testing-and-regression-analysis-for-ad-performance-optimization
Analyzed the performance of Facebook and AdWords ads using A/B testing and regression analysis to identify trends, correlations, and cost-effectiveness. Key insights included distribution of clicks and conversions, monthly trends, and cost-per-conversion analysis to optimize ROI.
abtesting data-science hypothesis-testing machine-learning matplotlib numpy pandas scikit-learn scipy seaborn statsmodels
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https://github.com/yashsonaar/machine-learning-tasks
This repository has machine learning tasks which include classification, recommendation system, fraud detection system
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https://github.com/ccolpasm/pageviewanalyzer
PageViewAnalyzer analyzes and visualizes time series data of forum visits (2016-2019). It uses Pandas, Matplotlib, and Seaborn to create line plots, bar charts, and box plots, highlighting trends, monthly averages, and seasonality in page views. Perfect for data exploration with Python.
data-science matplotlib numpy pandas python
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https://github.com/jsnevt/regressao_linear
Regressão linear simples - Qual a velocidade se levou x distância para parar ?
linear-regression matplotlib numpy pandas python
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https://github.com/hariprasath-v/machinehack-analytics-olympiad-2022
Create a machine learning model to help an insurance company understand which claims are worth rejecting and the claims which should be accepted for reimbursement.
catboost-classifier exploratory-data-analysis logloss machinehack numpy optuna pandas python scikit-learn shap
Last synced: 18 Apr 2026
https://github.com/alezoon/movie-revenue-prediction
Sk-learn practice using Linear Regression, ML workflow practice.
jupyter machine-learning matplotlib-pyplot numpy pandas python scikit-learn
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https://github.com/murugavl/flower-prediction
Flower Prediction is a machine learning project that uses the Iris dataset to classify iris flowers into three species: Setosa, Versicolor, and Virginica. The project includes data analysis, model training with various algorithms, and deployment via a Flask web application for user-friendly predictions.
flask machine-learning matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/jeet1995/brain-corp-robot-scan-filter
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https://github.com/nksmanya/virtual_canvas
A hand gesture-based drawing app that lets you create art in the air using hand movements
mediapipe numpy opencv opencv-python python
Last synced: 18 Apr 2026
https://github.com/amrutha-vm0407/deepavali-sales-exploratory-data-analysis
Data Analysis Project for Beginners
csv-import matplotlib-pyplot numpy pandas python3 seaborn
Last synced: 18 Apr 2026
https://github.com/alexkhype/04python-carpricepredictor
Modelo de machine learning para predecir el valor de mercado de autos usados, optimizando precisión y eficiencia.
catboost data-science lightgbm machine-learning numpy pandas python sklearn statistics xgboost
Last synced: 05 Apr 2026
https://github.com/jai0212/ai-virtual-painter
Real time finger and object painting using advanced computer vision technology with custom hand gestures and customizable colours
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Last synced: 05 Apr 2026
https://github.com/ben854719/nvidia---gen-ai-
The goal of the project is to analyze and predict with the use of AI for the revenue of Nvidia
matplotlib numpy pandas python pytorch
Last synced: 05 Apr 2026
https://github.com/grantgasser/task3
Multiclass Classification
keras multiclass-classification numpy pandas tensorflow
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https://github.com/perpendicooler/elementary-research-for-steamboat-willie-s-store-in-poland
An elementary research for a company to opening store in a city using gurobi and pulp optimization.
christofides-algorithm gurobipy numpy pandas pulp python3 scikit-learn travelling-salesman-problem
Last synced: 05 Apr 2026
https://github.com/ayu-ano/basic_object-detection
End to End Basic object Detection using Open CV
background-substraction-algorithm cv2 masking math mixture-of-gaussians numpy python3
Last synced: 18 Apr 2026
https://github.com/rahuls-1106/dataspark
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.
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https://github.com/autokmg/ai-foundations
Practice exercises related to the Foundations of Artificial Intelligence university course. The code examples are designed to help students gain a deeper understanding of these topics and to prepare for exams and assignments. The repository is open to contributions from other students.
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https://github.com/rhazra-003/modelinglab
Assignment - Solution of Modeling Lab of 7th Semester (Batch of 2023) of NIT Durgapur
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https://github.com/nabilshadman/python-classification-and-generative-models
Applications of classification and generative models with Python
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https://github.com/kumpatlapavankumar/eda-project-on-google-play-store-anlaysis
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https://github.com/simonusher/multi-layer-perceptron
My solution to an assignment on multi-layer perceptron. Implemented in python and numpy. Contains the forward and backward pass code, as well as some utility functions.
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https://github.com/mariacarolinass/programacao-linear
Minimizando problemas matemáticos com Python e AMPL.
ampl numpy programacao-linear ufrn
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https://github.com/emerald-geomodelling/downfile
A safe & version independent pickle alternative that integrates setuptool entry points for extensions
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https://github.com/gemmus/tictactoe-ai
Built with minimax algorithm, using pygame.
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https://github.com/paulo-santos-ds/previsao_preco_carros
O objetivo é realizar predições em um aplicativo de vendas de carros. A qualidade e velocidade de predições é crucial para o negócio. O projeto utiliza dados históricos, especificações técnicas, versões de acabamento e preços.
lightgbm math matplotlib numpy pandas python time
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https://github.com/prithvikings/zomato_data_anaysis
This analysis provides insights into customer preferences and restaurant performance on Zomato. The visualizations and findings can help Zomato make informed decisions to improve customer experience and tailor their offerings.
matplotlib numpy pandas python seaborn
Last synced: 20 Apr 2026
https://github.com/wrighang/06_python-api-challenge
Module 6: Python APIs
api citipy geoapify hvplot jupyter-notebooks matplotlib numpy open-weather-api pandas python scipy-stats
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https://github.com/mkhekare/bikesharing_ml
Provides insights into the bike sharing trends based on various factors such as time of day, season, and weather. The findings can be used to improve bike sharing services and understand user behavior.
matplotlib numpy numpy-library pandas seaborn
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https://github.com/marknature/codealpha-internship_python-programming
Python Programming Internship at CodeAlpha from 1st June 2025 to 30th June 2025
Last synced: 20 Apr 2026
https://github.com/venkat-0706/air-drawing
A real-time hand gesture drawing app using Python, OpenCV, and MediaPipe to draw, erase, and switch colors on a canvas using finger gestures via webcam.
computer-vision hand-gesture-recognition mediapipe mediapipe-hands numpy opencv-python python realtime-object-tracker
Last synced: 20 Apr 2026
https://github.com/danpoynor/pet-shelter-data-analysis-notebook
Demonstration of skills analyzing data from a pet shelter. The CSV data contains tables detailing the incoming and outgoing animals and I use my knowledge of Pandas to gather and present the requested information.
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https://github.com/separatrixxx/crypto_labs_6_sem
👓 Laboratory work for the 6th semester of MAI on cryptography
cryptography matplotlib numpy python
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https://github.com/jbayardo/aa-tp2
Q-Learning for Four in a row
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https://github.com/dataspieler12345/user_journey_analysis_project
User Journey Analysis in Python Project Create your own functions and tools to analyze user journey strings in Python.
Last synced: 24 Apr 2026
https://github.com/pawpaw2022/proj03-math-painting
An app that lets the user provide the start coordinates of geometrical shapes such as squares and rectangles, their dimensions, and their colors, and the program produces an image file canvas with all the geometrical shapes drawn in it. (Click the link below to see the demo)
Last synced: 24 Apr 2026
https://github.com/takana671/texturegenerator
Procedually generate texture images from noise.
cloud cubemap cv2 cython noise noise-textures numpy python skybox
Last synced: 25 Apr 2026
https://github.com/toxic-whitelgnd/matrice_cryptography
A simple math Project based on Matrices-Cryptography by using python-numpy
cryptography math-problem matrices numpy python3
Last synced: 25 Apr 2026
https://github.com/dr-rompecabezas/mean-variance-standard-deviation-calculator
[freeCodeCamp] Numpy-based stats calculator
Last synced: 26 Apr 2026
https://github.com/hinanohart/dostosim
Dostoevskian agent-based simulation: seven literary archetypes as a unified reward decomposition. Anti-optimisation, dignity-as-utility, ideological cascade, gambler-ruin — pre-registered H1-H4 with bootstrap CI / BH-FDR / Cliff's delta.
abm agent-based-modeling behavioral-economics bootstrap-ci computational-social-science dostoevsky literature networkx numpy python reproducible-research
Last synced: 27 Apr 2026
https://github.com/brendandasilva/applieddatascience
4 projects from Applied Data Science
data-science numpy pandas python
Last synced: 27 Apr 2026
https://github.com/crispengari/netflix-statistics
This is the visualisation of two categories of netflix movies which are: * movies * tv shows
data-science datafram jupyter-notebook matplotlib numpy pandas python
Last synced: 27 Apr 2026
https://github.com/lupin3000/tello-python
Python application to control the DJI Tello Drone with different controllers.
debian dji-sdk djitellopy drone dualsense-controller evdev hidapi macos numpy opencv python stadia-controller tello unihiker
Last synced: 27 Apr 2026
https://github.com/keizerzilla/como-funciona-meshgrid
Apontamento breve explicando como a função meshgrid do Numpy funciona.
Last synced: 28 Apr 2026
https://github.com/yanyan69/acss-techlaro
arduino-uno automation numpy opencv prototype python raspberry-pi raspberry-pi-camera ultralytics yolo
Last synced: 28 Apr 2026
https://github.com/hai4320/ml_ai_notebook
All my note about ML, AI and Data Science
ai machine-learning numpy pandas scikit-learn
Last synced: 28 Apr 2026
https://github.com/dwade-eng/amazon-product-recommender-prototype-
This project is a content-based product recommendation engine inspired by Amazon's "Customers who viewed this item also viewed" feature. It uses a dataset of product metadata and user interactions to suggest similar items based on product titles, brands, and categories using TF-IDF vectorization and cosine similarity.
html numpy pandas python3 scikit-learn
Last synced: 28 Apr 2026
https://github.com/pedronjorge/average-face
Generate an average face from a given set of images by detecting facial landmarks, aligning features, and blending the images using Delaunay Triangulation. Libraries used: Dlib, OpenCV, NumPy
dlib image-generation jupyter-notebook numpy opencv python3
Last synced: 30 Apr 2026
https://github.com/redinfinitypro/drawimages
Rating: (8/10) The code uses Python's Turtle module to create a canvas image, converting it to grayscale, and then placing dots at each pixel's location based on its intensity.
Last synced: 28 Apr 2026
https://github.com/linsanity03/fraud_detection_using_autoencoders
Leverage autoencoders, a type of neural network, for detecting fraudulent financial transactions by identifying anomalies in transaction patterns that deviate from the norm.
matplotlib numpy pandas pytorch seaborn
Last synced: 28 Apr 2026
https://github.com/alonmell/modulnet
Lightweight NumPy-based neural network framework with core layers, loss functions, optimizers, and data utilities
deep-learning from-scratch machine-learning neural-network numpy
Last synced: 29 Apr 2026
https://github.com/rand-asswad/controle_optimal
Une étude d'un problème de contrôle optimal avec visualisation 3D
controle-optimal numpy optimal-control python sympy
Last synced: 29 Apr 2026
https://github.com/muazify/pyequationsolver
A Python script that solves mathematical equations for the variable 'x' using a hybrid approach, combining symbolic solving (for exact solutions) with numerical methods (for approximations when symbolic solving is insufficient).
equation-solver numpy python3 sympy
Last synced: 29 Apr 2026
https://github.com/bilgeswe/datascience
Using Statistics and Data Science Project in Python using Google Colab tools, CVS and XLSX
box-plot colab-notebook cvs data-science data-scraping data-visualization heatmaps numpy python statistical-analysis statistics xlsx
Last synced: 29 Apr 2026
https://github.com/dulajkavinda/document-similarity-ml
📑 Check similarity between documents using td-idf and cosine similarity.
machinelearning numpy python scikit
Last synced: 29 Apr 2026
https://github.com/sayansomya/eda_on_covid-19
Exploratory Data Analysis on COVID-19.
analytics eda matplotlib-pyplot numpy pandas-dataframe python3 seaborn
Last synced: 29 Apr 2026
https://github.com/04bhavyaa/machine-learning-from-scratch
machine-learning matplotlib numpy pandas seaborn
Last synced: 29 Apr 2026
https://github.com/solomonbaez/koios
Neural Network Framework, built from scratch in NumPy.
machine-learning neural-network neural-networks numpy
Last synced: 29 Apr 2026
https://github.com/brainiacsloth/brighttv_viewership_analytics_python
This repository serves to provide an EDA framework for BrightTV Viewership Data.
jupyter-notebook metadata numpy pandas python
Last synced: 29 Apr 2026
https://github.com/armahdavi/ai_ml_assisted_breast_cancer_tumor_detection
Consolidating tutorial codes for breast cancer tumor detection, covering ML fundamentals like classification, feature engineering, training, evaluation, and key performance metrics.
bias-variance feature-engineering logistic-regression machine-learning machine-learning-algorithms medical-application numpy pandas python random-forest recall-precision sklearn xgboost-classifier
Last synced: 29 Apr 2026
https://github.com/ksharma67/k-means-algorithm-on-the-iris-dataset
Applied the K-Means algorithm on the Iris dataset, and utilized the Silhouette Score method to find the best value of K
eda elbow-method iris-dataset kmeans-clustering matplotlib numpy pandas python seaborn silhouette-score
Last synced: 29 Apr 2026
https://github.com/mukeshthenraj/fraud-detection-model
Logistic Regression, Grid Search, and ROC-PR curve evaluation on fraud detection dataset
classification fraud-detection machine-learning numpy pandas scikit-learn
Last synced: 29 Apr 2026
https://github.com/dmarks84/ind_project_readme-generator
Independent (personal) project in which I automatically generate README files for each of my repositories from my coursework
dataframes etl numpy pandas programming python
Last synced: 29 Apr 2026
https://github.com/nishumehta/supermart-grocery-sales-retails-analytics
Tableau Dashboard Link :
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https://github.com/alfastrek/textinsight-pro
Webscraper with Natural Language Processing
beautifulsoup jupyter-notebook nltk numpy pandas python webscraping
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https://github.com/christs8920/data-science-py
A collection of data science projects made in python.
data-science data-visualization machine-learning matplotlib nltk numpy pandas python sklearn svm-classifier visualization
Last synced: 29 Apr 2026
https://github.com/abideen-olawuwo/sign-language-lambda
A model deployed to AWS Lambda
aws aws-lambda keras lambda numpy requests serverless
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https://github.com/muhammadusman-khan/e-commerce-store-eda
Exploratory Data Analysis on E-commerce store data to uncover insights about sales trends, customer behavior, and product performance using Python libraries like Pandas, NumPy, and Matplotlib/Seaborn.
data-analysis data-science data-visualization e-commerce eda exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 29 Apr 2026
https://github.com/gvatsal60/ds-on-kaggle
A collection of data science projects, experiments, and insights from Kaggle competitions and datasets
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Last synced: 29 Apr 2026
https://github.com/shwetapardhi/assignment-04-simple-linear-regression-1
Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regressi
correlation-analysis data-visualization distplot eda feature-engineering model-building model-prediction model-testing numpy ols-regression p-value pandas python regression-plot rsquare-values seaborn simple-linear-regression smf statsmodel t-score
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https://github.com/omarsaad21/it-salary-eda
A python EDA project implemented on IT department salaries data we made data exploration and made data visulization for some questions on dataset
data explotary-data-analysis juypter-notebook numpy pandas python visualization
Last synced: 30 Apr 2026
https://github.com/vishal-verma-96/honey_production_analysis_using_python
In this project, I analyzed U.S. honey production from 1998 to 2021 across different U.S. cities, explored yields, and examined production values using Matplotlib and Seaborn visualizations.
matplotlib numpy pandas python-3 python-visualization seaborn
Last synced: 30 Apr 2026
https://github.com/padmavathi2905/machine-learning-projects
Sentiment and Regression Analysis
machine-learning matplotlib numpy pandas python regression-analysis sentiment-analysis visualization
Last synced: 30 Apr 2026
https://github.com/ebadshabbir/naive_bayes_classification-gaussain-
A Python project that applies Naive Bayes classification to predict user purchases based on age and salary using the Social Network Ads dataset. The project includes data preprocessing, model training, prediction, and visualization of decision boundaries for both training and test datasets.
classification gaussian jupyter-notebook machine-learning matplotlib-pyplot naive-bayes-classifier numpy pandas python
Last synced: 30 Apr 2026
https://github.com/rijul007/smartwatch-data-analysis-using-python
Smartwatch Data Analysis to uncover insights into health and activity patterns using Python for data cleaning, exploratory analysis, and interactive visualizations.
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Last synced: 30 Apr 2026
https://github.com/alirezasaharkhiz9/python-for-dataanalysis
The educational repository for data manipulation and analysis with the libraries numpy, pandas, and matplotlib.
Last synced: 30 Apr 2026
https://github.com/fikri-rouzan/student-stress-levels-classification
Proyek pemodelan machine learning untuk mengklasifikasikan tingkat stres mahasiswa berdasarkan parameter input akademik dan psikologis.
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Last synced: 08 Jun 2026
https://github.com/professornova/ann-scratch
This repository implements a simple Artificial Neural Network (ANN) from scratch using only NumPy.
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Last synced: 30 Apr 2026
https://github.com/favalos/myway-to-nn
Project to store my understanding of Neural Networks.
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https://github.com/johassel/feed_forward_neural_network
Fully-connected feed-forward neural network based on the couse "Python for Machine Learning" at TU Berlin WiSe 24/25
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Last synced: 30 Apr 2026
https://github.com/sayginsaman/hand-gesture-desktop-controller
A comprehensive Python application that transforms your webcam into a powerful desktop control interface using computer vision and hand gesture recognition. Control media playback, volume, scrolling, and navigation with simple hand gestures - no mouse or keyboard required!
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Last synced: 30 Apr 2026
https://github.com/abhiram-epuru/ai-powered-movie-recommender
A Movie Recommendation System using the MovieLens dataset, leveraging collaborative filtering techniques such as KNN (k-Nearest Neighbors) and Singular Value Decomposition (SVD). The project demonstrates a personalized recommendation model capable of suggesting movies based on user preferences and interaction data.
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Last synced: 30 Apr 2026