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/sahraiidle/email-spam-detector
Email/SMS spam detector with a Flask UI/API, tuned ML models (TF‑IDF + SVM/LogReg/NB), and a ready-to-run web form plus JSON endpoint for predictions.
data machine-learning numpy pandas python randomforest scikit-learn spam-classifier spam-detection svm
Last synced: 24 Jan 2026
https://github.com/alejandro945/insurance-risk
This project aims to predict the risk of insurance claims using a dataset from Kaggle. The dataset consists of 26 columns and 205 rows, providing various features related to insurance risk. By analyzing this data, we seek to build predictive models that can help insurers assess the risk of claims.
data-analytics ipython-notebook numpy pandas python
Last synced: 06 Feb 2026
https://github.com/dilkushsingh/iris-species-classifier
Used Random Forest Classifier Algorithm
huggingface-spaces numpy pandas python random-forest-classifier scikit-learn streamlit
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https://github.com/ambrish8/bell-s-palsy
BELL’S PALSY SEVERITY DETECTION USING DEEP LEARNING
cnn-architecture imagedatagenerator keras numpy opencv python pytorch resnet-50
Last synced: 15 Apr 2026
https://github.com/jaybfn/single-molecule-electrophysiology-data-analysis
Pynanopore serves as a sophisticated toolkit for analyzing single molecules, designed to interpret complex states within nanopore data automatically.
docker numpy pandas plotly pytest python3 streamlit streamlit-webapp
Last synced: 28 Jan 2026
https://github.com/andres29ac/website_heatmaprisk
Mapa hecho con Streamlit y Folium para mostrar la distribución delictiva de cada distrito de Trujillo mediante Mapas de Calor.
folium-maps heatmap-visualization numpy pandas ploty python stadistics streamlit
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https://github.com/sa001gar/password-manager-on-the-top-of-streamlit
Secure Password Manager is a Python-based application developed by Sagar Kundu, designed to provide users with a secure and convenient way to manage their passwords. With features like user authentication, password generation, and secure storage using bcrypt and MongoDB, it ensures the safety of sensitive information while offering an intuitive use
bcrypt gui-application mongodb numpy numpy-library pandas-dataframe pandas-library pandas-python password-generator password-manager pymongo python python3 streamlit-application streamlit-webapp urllib
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https://github.com/maia-bastos/an-lise-descritiva-ibge
analise-de-dados estatistica numpy pandas seaborn
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https://github.com/drsartoriuss/portfolio
Учебные проекты из Яндекс Практикума "Специалист по Data Science+"
catboost computer-vision data-science deeplearning mashinelearning matplotlib nlp-machine-learning numpy pandas scipy seaborn sklearn sql torch tsf
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https://github.com/subh888999/car-prices--analysis-projects
This repository houses projects focused on data collection, assessment, cleaning, visualization, and analysis. It includes workflows and methodologies for handling data, from initial gathering and evaluation to processing, visualizing insights, and performing in-depth analysis
jupyter-notebook matplotlib numpy panda seaborn statistics
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https://github.com/matheusafonseca/c213-trabalho-1
Repository dedicated to storing and managing the first assignment for C213 - embedded systems.
matplotlib numpy pid-controller python scypi streamlit
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https://github.com/shahaba83/airplane-ticket-cancellation
In this project, we try to predict the possibility of canceling the plane ticket by the buyer
datatime numpy pandas python scikit-learn seaborn
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https://github.com/deepankkartikey/ml-projects
A repository of projects done while learning and exploring ML
classification csv machine-learning numpy pandas regression sklearn
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https://github.com/jaypanchal9/fraud-detection-case-study
A comprehensive case study applying machine learning techniques to detect fraudulent transactions effectively.
machine-learning matplotlib numpy pandas python3 scikit-learn seaborn xgboost
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https://github.com/linggarm/poultry-meat-freshness-classification-with-transfer-learning-using-resnet
The utilization of the ResNet architecture and Transfer Learning methods to classify Poultry Meat Freshness images into two categories, namely Fresh and Rotten.
artificial-intelligence binary-classification cnn colab-notebooks computer-vision deep-learning fine-tuning imagenet machine-learning meat-classification numpy pandas poultry python residual-networks resnet scikit-learn supervised-learning tensorflow transfer-learning
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https://github.com/martincastroalvarez/search-keras-gensim-elasticsearch
Search Engine using Word Embeddings, GloVe, Neural Networks, BART and Elasticsearch
elasticsearch gensim gensim-word2vec keras nlp numpy python scipy spacy word2vec
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https://github.com/muhkartal/fr-photo
face-recognition system works on images first of all you need to register valid image as recognition
face-recognition numpy opencv pillow python streamlit
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https://github.com/ljadhav25/decision-tree-random-forest-algorithm-data-science-
This repository contains an implementation of decision tree and random forest algorithms from scratch in Python. Decision trees and random forests are popular machine learning algorithms used for classification and regression tasks. The goal of this project is to provide a clear and understandable implementation of these algorithms
data-analysis data-science decision-trees machine-learning-algorithms matplotlib numpy pandas python random-forest-classifier
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https://github.com/itssahilwhat/ai-fundamentals
A curated collection of fundamental AI concepts, algorithms, and code implementations — including Machine Learning, Deep Learning, and Computer Vision — built from scratch and with practical examples.
computer-vision deep-learning machine-learning numpy pandas python pytorch scikit-learn
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https://github.com/hossein-cod/practicing-deep-learning
with keras data set we load a data base and train our machine for test
deep deep-learning jupyter-notebook keras machine-learning matplotlib numpy py python sklearn tensorflow
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https://github.com/ishinzoo/songrecommendation
This project is a machine learning-based system that recommends songs based on the user's detected emotions. The application uses facial expression recognition to determine the user's current emotional state and suggests songs that align with that emotion. This system can be particularly useful for personalized music streaming services, helping use
machine-learning mediapipe numpy opencv os python tenserflow
Last synced: 25 Feb 2026
https://github.com/keyurparalkar/breast-cancer-detection
Predict whether the cancer is benign or malignant
gradient-descent logistic-regression machine-learning numpy
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https://github.com/thkox/uni_2023-compression-and-object-removal
This project is a team assignment for the "Multimedia Systems" course, offered in the 6th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.
2023 6th-semester colorama compression-algorithm department-of-informatics heapq lossless-compression-algorithm motion-compensation multimedia-systems numpy object-removal opencv-python pickle python scipy-stats university-of-piraeus
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https://github.com/shishirshekhar/penguin_app
This is a penguin species prediction web app
data-science logistic-regression ml numpy pandas python python3 random-forest-classifier streamlit streamlit-application streamlit-webapp support-vector-machine
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https://github.com/arraypd/airflow-etl-elt
airflow duckdb elt etl matplotlib metabase ml numpy pandas postgresql python scikit-learn
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https://github.com/olfabelhadj/analyse-des-ventes-d-une-librairie-avec-python
OpenClassrooms parcours Data Analyst Projet 9
matplotlib-pyplot numpy pandas plotly-express plotly-graph-objects python scipy seaborn statsmodels
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https://github.com/breadrock1/ml-labs
Machine Learning. There is a suite of Machine Learning laboratory tasks.
classification knn knn-classification machine-learning nlp nlp-machine-learning numpy pandas pandas-dataframe python python3 random-forest regression scikit-learn-python skele trees
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https://github.com/sarmad426/ai
AI basic to advanced featuring Machine Learning, Deep Learning and Data Science.
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https://github.com/karishmagupta05/airbnb-data-scraping-and-analysis
This project involves web scraping Airbnb listings using Python and BeautifulSoup, followed by data analysis with Pandas. The goal is to extract meaningful insights from the data, clean and preprocess it, and visualize the results using libraries like Matplotlib and Seaborn.
beautifulsoup4 matplotlib numpy pandas python scraping seaborn visualization
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https://github.com/amruta33/credit_card_analysis
The loan providing companies find it hard to give loans to the people due to their insufficient or non-existent credit history. Because of that, some consumers use it as their advantage by becoming a defaulter.
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https://github.com/bearddan2000/python-web-3d-matplotlib-line-parametric-curve-graph
A demo of creating a 3d line parametric curve graph.
3d curve graph line matplotlib numpy pandas parametric python web
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https://github.com/nmerka/practicum_rep
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jupyter-notebook matplotlib numpy pandas plotly python scipy seaborn sql tableau
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Investigate [No-show appointments] Dataset
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https://github.com/lulunac27a/number-statistics-jupyter-notebook
Number statistics app in Jupyter Notebook
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https://github.com/singhvishal003/sales-data-analysis
Data Analysis according to sale data.
matplotlib numpy pandas seborn
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https://github.com/codehub001/age-and-gender-detection
This AI-powered project detects faces and predicts age & gender from images or video streams using OpenCV and deep learning. 🧠💡 🔹 Face Detection 👀 🔹 Gender Classification 🏷️ (Male/Female) 🔹 Age Estimation 📊 (from predefined age groups) 🔹 Live Video & Image Support 🎥🖼️
argparse deep-learning numpy opencv pretrained-model python
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https://github.com/ankitpundir7/group-face-emotion-recognition
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https://github.com/dmitruzik/python_projects
All python projects are here
matplotlib numpy pandas python seaborn
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https://github.com/offthetab/lung_cancer_prediction
ML for Lung Cancer Prediction dataset from kaggle.
matplotlib numpy pandas python seaborn sklearn
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https://github.com/martincastroalvarez/python-video-processing
Movie generator using MoviePy, OpenCV2 and Numpy.
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https://github.com/vyask21/opencv-drowsy
Drowsiness detection can be quickly done using shape predictor face landmarks.dat model file that mark the essential landmarks on the face using OpenCV modules.
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https://github.com/anshpg/exploration-in-image-processing-digit-image-generation
This project, developed by Anshuman Pattnaik, explores image processing techniques using Python libraries such as pandas, numpy, matplotlib, and cv2 (OpenCV). The primary objective of the project was to delve into image processing with a focus on creating a unique dataset and algorithm for image generation.
cv2 image-generation image-processing ipynb-jupyter-notebook matplotlib-pyplot numpy opencv pandas
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https://github.com/hamishivi/denserflow
A basic numpy neural net library. This achieved high marks in a uni assignment!
deep-learning neural-network numpy
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https://github.com/johanntf/direccion_maximo_crecimiento
Dirección de máximo crecimiento en una función multivariable dado un punto de partida
customtkinter matplotlib numpy python
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https://github.com/sanjanahombal/study-on-sentiment-analysis
This project explores the optimal combination of Bag-of-Words and TF-IDF vectorization with Naive Bayes and SVM for sentiment analysis. It evaluates performance using accuracy, precision, recall, and F1-score, addressing ethical concerns like data privacy and bias to improve sentiment classification in real-world applications.
bag-of-words confusionmatrix googlecollab gridsearch-crossvalidation matplotlib-pyplot naive-bayes-classifier numpy pandas seaborn sklearn svm-classifier tfidf-vectorizer
Last synced: 07 Jan 2026
https://github.com/sultanazhari/customer-habit-analysis-model
Megaline company wants to develop a model that can analyze consumer behavior and recommend one of Megaline's two new plans: Smart or Ultra. In this classification task, we need to develop a model that is able to choose the right package
accuracy-score decision-tree-classifier logistic-regression matplotlib-pyplot numpy pandas python3 random-forest-classifier seaborn train-test-using-sklearn
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https://github.com/lefteris-souflas/economic-connectedness-analysis
Jupyter notebook, replicating studies on social capital from Nature journal, analyze economic connectedness, upward income mobility, and more. Python and relevant datasets are utilized to recreate figures and analyses.
analytics choropleth-map json jupyter-notebook matplotlib matplotlib-pyplot numpy pandas plotly-express python3 regplot scatterplot seaborn stata visualization
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https://github.com/bearddan2000/python-web-3d-matplotlib-scatter-parametric-curve-graph
A demo of creating a 3d scatter parametric curve graph.
3d curve graph matplotlib numpy pandas parametric python scatter web
Last synced: 09 Apr 2026
https://github.com/santiagoenriquega/custom_neural_net
This repository focuses on building a neural network from scratch using only base python and Numpy.
gradient-descent neural-network numpy optimization python
Last synced: 18 May 2026
https://github.com/toon-van-berkel/imagetovideofx
ImageToVideoFX is a simple Python project that takes an image (JPG/PNG) and transforms it into a short video with a smooth zoom effect. You can optionally add background music. This is perfect for content creators or developers who want to automate turning images into engaging video content.
imagetovideo moviepy numpy pillow python
Last synced: 08 May 2025
https://github.com/trups39/nyc-green-taxi-trip-analysis
Analyze NYC Green Taxi data, predicting fares and optimizing pickup locations using Regression machine learning models uncover travel patterns.
numpy pandas predictive-modeling python3 regression-models skit
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https://github.com/hansalemaos/group_by_continuous_sequence
Groups lists/NumPy arrays by continuous sequence
Last synced: 19 Feb 2026
https://github.com/dor-sketch/audio-visual-synth
Combining real-time graphics, audio synthesis, and interactive elements to create an engaging, cross-platform music visualizer.
image-processing midi-player music-composition musicsheet notes-tool numpy pygame pygbag pyopengl
Last synced: 18 May 2026
https://github.com/ksalekk/ct-visualizer
computed-tomography dicom medical-imaging numpy pyside6 python
Last synced: 18 May 2026
https://github.com/rajesh9943/developing-a-bike-buyer-sales-report-dashboard-using-excel
This dataset has details of 1000 users from different backgrounds and whether or not they buy a bike. This data can be used to build the dashboard in Google Sheets. There are some NA (Null / Empty) values injected in the dataset. Use this dataset for Data Cleaning, Exploration, and Visualization.
excel google-sheets numpy pandas-library python3
Last synced: 17 May 2026
https://github.com/yash22222/analysis-of-amcat-aspiring-minds
Analyzing employment outcomes for engineering graduates based on a provided dataset. Specifically, it aims to verify a claim regarding the salary range for fresh graduates in certain engineering roles and investigate potential relationships between gender and specialization preferences.
amcat aspiring-minds charts computer-engineering data-analytics data-vizualisation dataset graph machine-learning matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/yesenvidnath/facerecognito-pythonfacialrecognitionapplication
this is a web application created to detect faces using a pre-given image links through Excel format, this project uses Pytorch & Flask
Last synced: 10 Apr 2026
https://github.com/wondermongering/nonlineardatagen
A flexible Python framework for generating, fitting, and visualizing noisy nonlinear data. Perfect for educational purposes, algorithm testing, and demonstrating statistical concepts. Includes tools for various noise models, custom function fitting, robust error metrics, and publication-quality visualizations
curve-fitting data-simulation data-visualization education educational-tool interpolation mathematical-modelling matplotlib noise-modeling numpy regression-analysis scientific-computing scipy signal-processing statistics teaching-resource time-series-analysis
Last synced: 22 Aug 2025
https://github.com/altaris/turbo-broccoli
JSON (de)serialization extensions
bokeh json keras numpy pandas pytorch serialization sklearn tensorflow
Last synced: 04 Jan 2026
https://github.com/aminkhavari78/-maternal-health-risk-data-set
In this part I'm working on Maternal Health Risk Prediction
data-science linearsvc machine-learning matplotlib numpy pandas scatter-plot sklearn
Last synced: 05 May 2026
https://github.com/kr1shnasomani/facetronix
A toolkit for face detection, annotation, and mask recognition.
computer-vision deep-learning keras neural-network numpy opencv tensorflow
Last synced: 05 Apr 2026
https://github.com/yalai92/master_academic_projects
This repository is dedicated to showcasing the academic projects completed during my Master in Data Science & AI. The main objective is to show a collection of projects in various data science fields, including: data cleaning & preprocessing, data analysis, data visualization, machine learning, clustering, among others.
automation clustering data-merging google-colab jupyter-notebook machine-learning matplotlib numpy pandas powerbi python sklearn xgboost
Last synced: 13 Jun 2025
https://github.com/nermeenkamal/population_growth_analysis_and_visualization
Python
analysis data-science dataset matplotlib numpy pandas python seaborn visualization
Last synced: 02 May 2026
https://github.com/muhkartal/fr-framework
A modular and extensible face recognition framework featuring real-time detection, facial landmark analysis, and recognition with API support.
dlib face-recognition fastapi numpy opencv pillow pydantic python-multipart requests scipy uvicorn
Last synced: 13 Apr 2026
https://github.com/nikhilfuke1/movies-recommendation-system-python-project-
This project is a simple movie recommendation system built using Python. It suggests movies based on the similarity of titles and a predefined similarity score matrix.
difflib numpy pandas python sklearn
Last synced: 30 Dec 2025
https://github.com/raminbadri/machine-learning-with-python
This where I will upload all my machine learning projects and samples
classification clustering data-science jupyter-notebook machine-learning matplotlib numpy pandas python3 regreession scikit-learn
Last synced: 12 Apr 2026
https://github.com/guifernandess7/ciencia-de-dados-e-ml-notebooks
Notebooks com uso dos módulos Pandas, Numpy e Matplotlib para análise de dados e criação de gráficos e tensorFlow e seaborn para machine learning e visualização
machine-learning matplotlib numpy pandas python tensorflow
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https://github.com/lgope/book-recommender-system
Book recommender system a Collaborative Filtering Based Recommender System using Machine Learning, Numpy, Pandas Python, Flask, Kaggle Dataset
collaborative-filtering flask html-css jupyter-notebook kaggle-dataset machine-learning numpy pandas python
Last synced: 13 Apr 2026
https://github.com/nellyndj52/breast-cancer-classification-ml
This project aims to build a machine learning models to predict whether a tumor is malignant or benign based on the Breast Cancer dataset. Various classification algorithms are tested, including Logistic Regression, Random Forest, and Support Vector Machine (SVM).
breast-cancer cancer dataset flask-api heroku-deployment lime machine-learning mlp-networks numpy perceptron-neural-networks pickle segmentation support-vector-machines svm
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https://github.com/zalkklop/lvsm
Official code for "LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias" (ICLR 2025 Oral)
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https://github.com/adikahnf/Data-analysis-with-Python
data-analysis numpy pandas python streamlit
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https://github.com/sudarshanc00/brain-tumor-classification
This project uses a deep learning model in PyTorch to classify brain MRI images into four tumor types, aiding early diagnosis and treatment planning. Two ResNet-based models were developed and optimized, achieving high accuracy to support healthcare professionals in identifying tumor categories.
matplotlib numpy pytorch resnet scikit-learn streamlit
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https://github.com/mathensley/asimpleneuralnetworklib
A simple library in Python for training datasets using neural network models
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https://github.com/firewind25/gdp-data-extraction-and-processing
Data Extraction from a web resource using Web-Scraping and request APIs. Processed it using Pandas and NumPy libraries. Finally exporting it to csv file for further analysis
numpy pandas python webscraping
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https://github.com/blinksta1ker/spam-mail-classification
Supervised ML model using Logistic Regression model to classify an email as Ham or Spam
jupyter-notebook logistic-regression machine-learning numpy pandas python sklearn supervised-machine-learning
Last synced: 09 Apr 2026
https://github.com/DYK-Team/vna-impedance-measurements
Calibration and deembedding for impedance measurments
antenna-equation cst-studio de-embedding delay-time lab-automation magneto-impedance microstrip numpy pcb-cells phase-unwrapping probe python rohde-schwarz scattering-parameters scpi-instruments sensors solt-calibration surface-impedance vna zhejiang-university
Last synced: 08 May 2025
https://github.com/zombietdv/cnn_and_beta-vae-
CNN and Beta-VAE implementation. Only Numpy as the main library.
automatic-differentiation backpropagation-algorithm beta-vae cnn deep-learning numpy optimization-algorithms
Last synced: 21 Mar 2025
https://github.com/mnitin-reddy/image-compression-using-k-means-clustering
This project implements the K-means algorithm for clustering and image compression. It reduces the number of colors in an image using K-means, achieving compression while maintaining key visual features. The project demonstrates the process on a sample dataset and a real image.
image-processing imagecompression kmeans-clustering machine-learning matplotlib numpy
Last synced: 19 May 2026
https://github.com/shshojaei/python-tutorial
Python tutorials
jupyter-notebook matplotlib numpy pandas programming-t python python-tutorial scipy seaborn tutorial
Last synced: 05 Apr 2026
https://github.com/paulinhok14/csgo-datascience-project
📊 Analysis of CS:GO grenade usage patterns and their impact on match outcomes using data science and statistical methods.
matplotlib mlflow numpy python scikit-learn scipy seaborn
Last synced: 30 Dec 2025
https://github.com/kasraskari/learn-python-codes
A beginner-friendly repository to learn Python programming through structured examples and scripts, covering topics from basics to advanced concepts.
jupyter-notebook matplotlib matplotlib-tutorial numpy numpy-tutorial pandas pandas-tutorial python python-learning python-tutorial python-tutorials scipy scipy-tutorial tutorials
Last synced: 09 Apr 2026
https://github.com/Madhuresh2011/Leetcode-Questions-Analysis-Using-Python
The LeetCode Question Analysis is a Python-based project designed to help users analyze and gain insights into LeetCode problems. It allows users to track, categorize, and evaluate their progress, identify patterns in problem-solving, and optimize the preparation.
analysis csv-files matplotlib-pyplot numpy pandas python python-project seaborn
Last synced: 13 Sep 2025
https://github.com/magzybog12/real-time-object-distance-measurement-using-opencv-python
Using an A4 paper as a guide, performing the distance measurements to find the height and width of objects placed in the region
numpy opencv-python pycharm-ide
Last synced: 05 May 2026
https://github.com/christabelsakyi/employee_attrition_prediction
This project implements a machine learning pipeline for predicting employee attrition using HR data. The system analyzes various factors that contribute to employee turnover and provides predictions to help HR departments take preventive measures.
machine-learning numpy pandas plotly python sklearn streamlit
Last synced: 09 Apr 2026
https://github.com/redinfinitypro/ai_projects
Rating (7/10) The code is a chatbot that interacts with users based on article content. However, issues include incorrect sorting, typos, incorrect indentation, and lack of explanations for each part, potentially affecting the bot's robustness and understanding of context.
newspaper nltk numpy python random sklearn string warnings
Last synced: 20 Jul 2025
https://github.com/danish-jamil-01/image-dehazer
Remove the haze from the image using dark channel prior and guided filter
dark-channel-prior guided-filter guided-filtering ndimage numpy open-cv opencv opencv-python pillow python scipy skimage tkinter
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https://github.com/tahir1072a/titanic-veri-analizi
Kaggle Titanic veri seti kullanılarak NumPy ve Pandas ile yapılan veri analizi projesi.
data-science kaggle numpy pandas python titanic-survival-prediction
Last synced: 30 Dec 2025
https://github.com/chubi-x/sort-it-image-classifier
Sort-it is an image classification application that classifies images of cats, dogs, bicycles, cars, and motorcycles.
image-classification machine-learning numpy pandas python streamlit tensorflow
Last synced: 05 Apr 2026