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/tonoy30/emotion-mask
A pytorch model for add face mask based on detected emotion.
emotion-detection numpy opencv-python python pytorch
Last synced: 09 May 2026
https://github.com/ishaj72/analysis_model2
Dataset analysis model using matplotlib and other libraries
machine-learning matplotlib numpy pandas
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https://github.com/amr-yasser226/pagerank-power-method
Modular Python implementation of the PageRank algorithm via the power method, with discrete‑math foundations, end‑to‑end code, and experimental validation.
discrete-mathematics graph-algorithms markov-chain network-analysis networks numpy pagerank power-method python scipy
Last synced: 09 May 2026
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/mairagalvao/final_grades
An analysis of the final grades of students using Python
matplotlib numpy pandas python3
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https://github.com/raduldev/datasciencepython
Interview Task From CSIR-IGIB, Delhi & maps for journal
biopython colab-notebook counter jupyter-notebook matplotlib numpy pandas
Last synced: 09 May 2026
https://github.com/dulajkavinda/numpy-ml
🔢 Calculations with NumPy library.
calculations jupyter-notebook machine-learning matrices numpy numpy-arrays python
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https://github.com/navindafernando/character-recognition
Sinhala Character Recognition using KNN :coffee:
joblib knn-algorithm machine-learning matplotlib numpy opencv pillow tikiner-gui
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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/rebeccamorolong/market--basket--analysis
Market Basket Analysis using the Apriori algorithm to predict association rules and frequent itemsets from transactional data. The goal was to uncover product combinations that frequently co-occur in transactions, which can be used for recommendations, promotions, and inventory management.
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https://github.com/prakashjha1/email-sms-spam-classifier
Many email services today provide spam filters that are able to classify emails into spam and non-spam email with high accuracy.
machine-learning natural-language-processing numpy pandas python
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https://github.com/florasteve/ml-foundations-day2
Day-2 ML foundations: probability/stats refresh and NumPy logistic regression; notebooks with visuals.
data-science jupyter-notebook logistic-regression machine-learning matplotlib numpy statistics
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https://github.com/shubhansu-kr/int213-python-programming
Python Programming | Semester 3 | Python | OOPS | Tkinter | Pandas | Numpy
lpu numpy oops-in-python pandas python sem3 tkinter-gui
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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.
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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/9bow/deep-learning-from-scratch
examples in the book
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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).
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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
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https://github.com/khalidelboray/image_processing
Notes about image processing
image-processing numpy python3
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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
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https://github.com/jsnevt/knn_neighborhood
ML - classificação por vizinhança
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https://github.com/gsaini/streamlit-ui-getting-started
Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps with only a few lines of code. Build and deploy powerful data apps in minutes. Let's get started!
codecov github-actions numpy pandas python streamlit unittest
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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/takana671/fluidcube
Particle Movement Using Curl Noise
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https://github.com/no0bitah/pdf-highlight-extractor
A Python tool for extracting highlighted text from PDF files while preserving formatting attributes (headers, bold, italic) and removing unwanted line breaks and page breaks. Perfect for integrating with content management systems.
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https://github.com/gyselle-marques/sobel-filter
Machine Learning: Image Processing with Sobel Filter.
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The primary objective s to develop an accurate and efficient classification model capable of identifying pneumonia cases in patients based on chest X-ray images. Pneumonia is a prevalent and potentially life-threatening respiratory infection. Early detection plays a critical role in timely intervention and effective treatment.
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https://github.com/v41bh4vr4jput/data-analysis-with-python
This repository is a comprehensive collection of data analysis projects and tutorials using Python's most powerful libraries: NumPy, Pandas, Seaborn, and Matplotlib. It is designed to help you explore, clean, visualize, and analyze data efficiently.
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https://github.com/samanthalang/samanthalang_portfolio
Une data analyste avec la vision d'une consommatrice et la stratégie d'une marketeuse.
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https://github.com/ayan6943/employee-attrition-prediction-with-machine-learning
Employee Attrition Prediction with Machine Learning | Analyzing HR data to predict employee turnover using Random Forest. Includes EDA, feature engineering, model training, and evaluation. Achieved 90% accuracy.
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https://github.com/ashwani-199/dataanalysis2024
Python Data Analysis
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https://github.com/ananupam/eda-stock_market
An Exploratory Data Analysis project done on Financial data read from a search engine (yahoo) to predict the trends of stocks of 4 Tech companies.
jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/1ayanabil1/100-days-of-python-bootcamp
Join me on my journey to code in Python every day for 100 days! 🐍 This challenge is designed to sharpen my programming skills, explore Python libraries, and build cool projects along the way.
data-structures data-structures-and-algorithms data-visualization django flask machine-learning matplotlib numpy pandas python seaborn web-development
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https://github.com/paulomppatricio/projeto_challenge_telecomx-br_parte-2
Projeto Challenge TelecomX-BR_Parte-2 - Formação Data Science do programa ONE - Oracle Next Education em parceria com a Alura.
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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.
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Leads Scoring_Logistic regression model
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How to use numpy, map, response, opencv, pandas on python 3+. There is a lot of simple project for everybody to understant how to use python.
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Capstone Project using python(Real-Estate)
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https://github.com/sproc01/alcuinproblem
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https://github.com/shoaib1522/credit-card-fraud-analysis
"A comprehensive project on Credit Card Fraud Detection combining Exploratory Data Analysis, Machine Learning, and an interactive Streamlit web app for real-world applicability."
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https://github.com/misszeferino/us-traffic-accidents-analysis
Exploratory Data Analysis using Python
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https://github.com/hajdu-patrik/nlp_music-mood-classifier_bme_hf
This project is a Python-based NLP system that analyzes song lyrics to determine their emotional profile and recommends similar songs.
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Last synced: 10 Nov 2025
https://github.com/tasninanika/australian-credit-approval-analysis-svm
This project uses a Support Vector Machine (SVM) Classifier to predict whether a credit application is approved (1) or denied (0) based on applicant features.
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https://github.com/chandkund/loan-eligibility-prediction
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Notes on career track "Data Scientist with Python" at DataCamp
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https://github.com/maliksaqib786/codealpha_projectname
IRIS CLASSIFICATION | Internship Project at Code Alpha
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https://github.com/ledsouza/medphys-bi
Aplicativo desenvolvido para gestão e análise de dados do Serviço de Física Médica em Medicina Nuclear do HCPA
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https://github.com/elam-parithi/singapore_flatprice_predicting
Flat price prediction with Machine learning tools and python.
matplotlib numpy pandas scikit-learn seaborn
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A machine learning project to detect and classify arrhythmias from ECG signals using Python, scikit-learn, and TensorFlow. Includes data preprocessing, model training, and evaluation.
arrhythmia biomedical-signal-processing cardiology classification deep-learning ecg ecg-classification healthcare machine-learning mit-bih-dataset numpy python scikit-learn scipy signal-processing tensorflow time-series-analysis
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https://github.com/patilsukanya/p01.matplotlib-seaborn-titanic-dataset-visualization
Used libraries and functions as follows:
barplot bivariate boxplot densityplot histogram jointplot matplotlib numpy pairplot pandas python seaborn-plots seaborn-tutorial stripplots swarmplot univariate violinplot visualization
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https://github.com/izhaan0/predict-marks-based-on-study-hours
Student Marks Predictor is a machine learning project that predicts a student’s exam scores based on the number of study hours. It uses Linear Regression to learn the relationship between study hours and marks, and provides both command-line and interactive Streamlit web interfaces for prediction and visualization.
data-visualization joblib jupyter-notebook machine-learning machine-learning-algorithms matplotlib-pyplot numpy pandas pandas-dataframe pickle python scikit-learn seaborn
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As a part of BCG Data Science Project, I developed a predictive churn-risk model for XYZ energy utility by engineering price, consumption and contract features and training XGBoost and Random Forest models to identify customers most likely to churn at current prices.
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https://github.com/jonad/customer_segment
Creating customer segments using unsupervised machine learning algorithm.
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https://github.com/ahmedabdalkreem/naive-bayes
Show what types of naive-bayes and how to use model and deal with data ( Numerical, Categorical and Mixed between Numerical and Categorical )
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https://github.com/headless-start/yolov4-tiny-raspberrypi
This repository contains YOLOv4-Tiny deployment on Raspberry pi.
darknet edge numpy object-detection opencv powerpoint python-3 pytorch raspberry-pi tensorflowlite yolov4 yolov4-darknet yolov4-tiny
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https://github.com/erikaax08/numerical_methods
This repository hosts the project developed for the Numerical Methods class at the Benemérita Universidad Autónoma de Puebla (BUAP)
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https://github.com/harmanveer-2546/movie-industry
Investigate the film industry to gain sufficient understanding of what attributes to success and in turn utilize this analysis to create actionable recommendations for companies to enter the industry.
business business-analytics data-analysis datatime film-industry graphs matplotlib movie-database numpy pandas python scraping-websites seaborn visualization web-scraping-python
Last synced: 10 Apr 2026
https://github.com/ksganni/diabetes-prediction-using-machine-learning
🔬 A machine learning project that predicts diabetes likelihood using patient health metrics and multiple classification algorithms.
jupyter-notebook matplotlib numpy pandas python scikitlearn-machine-learning seaborn
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https://github.com/cyberoctane29/epa-air-quality-aqi-analysis
This project involved analyzing air quality data from the EPA, focusing on the Air Quality Index (AQI). I used Python data structures like dictionaries and sets to manage and process the data, simulating real-world data analysis to assess pollution levels and their health implications.
data-analysis numpy pandas python statistics
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https://github.com/avin27/credit-card-fraud-detection
A python script to analyse credit card data to detect fraudulent transactions
data-science numpy pandas sklearn
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https://github.com/abideen-olawuwo/water-potability
A Water Potability Model
adaboostclassifier gaussian kneighborsclassifier linear-regression logistic-regression matplotlib numpy pandas seaborn sklearn xgboost-classifier
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https://github.com/csengupta1101/career-survey---data-scientist
This repository holds an in depth analysis of Scrapped data from naukri.com. which showcases in in demand skills and opportunities in Data science across the subcontinent.
analysis career data-science matplotlib naukri numpy pandas python3
Last synced: 07 May 2026
https://github.com/oguzhansarigol/Expected-Goals-xG-Data-Analysis
We will analyze in our code the expected goal locations of football players based on which areas of the field, at what times, with which feet, using which parts of their bodies, and from which angles and distances they are most likely to score.
data-analysis-python expected-goals numpy pandas-python python
Last synced: 20 Aug 2025
https://github.com/abhirajp595/python
Data Science Project using Python
data-analysis data-science data-visualization eda jyputer-notebook numpy pandas statistics
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https://github.com/lorenzorottigni/ml-houses
Machine Learning python bootcamp: linear regression on houses model
ipynb linear-regression machine-learning numpy pandas python scikit-learn seaborn
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matplotlib numpy pandas pil python3 requests scipy seaborn sklearn
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body-tracking flask mediapipe numpy opencv pandas pillow python3
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https://github.com/kane-dylan/spamshield
SpamShield
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https://github.com/mayankmittal29/pagesage-ai_urls_content_scraper_webapp
PageSage is a modular web scraping and semantic retrieval system using BeautifulSoup for extraction, SentenceTransformers for dense embeddings, and ChromaDB for scalable vector search—enabling efficient data indexing for advanced RAG pipelines.
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https://github.com/kaladabrio2020/calculusnumerics
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metodos-numericos numpy python tkinter-gui
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https://github.com/mpbeatriz/santander_coders_2024
Repositório dos exercícios e projetos do curso de Engenharia de Dados da Ada em parceria com o Santander (em andamento).
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https://github.com/beyzabasarir/northwind-traders-analysis
Northwind dataset analysis using PostgreSQL, Python, and Power BI. Focused on sales, customers, shipping, and performance insights.
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https://github.com/giacomolat/classification-of-exotic-fruits
The goal of this project is to develop an automatic classification system for exotic fruits based on numerical features using the K-nearest neighbors (K-NN) algorithm
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https://github.com/dhaase-de/dito
Yet another toolbox for the daily work with OpenCV under Python.
Last synced: 22 Aug 2025
https://github.com/gaurav-0211/seaborn-for-data-visualization
This Project aims to different plotting methods using seaborn for data Visualization.
data-visualization jupyter-notebook matplotlib numpy pandas-dataframe seaborn
Last synced: 20 Apr 2026
https://github.com/ahmedabdalkreem/covid-19
In this project we build complete project conatin tree part first part build deep leanring model using CNN second part build simple mobile app using Flutter and the last part is to connect mobile app with model using Flask API.
cnn dart deep-learning flask-api flutter matplotlib mobile-app numpy pandas python tensorflow
Last synced: 10 Apr 2026
https://github.com/ankman007/python-100-days-of-code
Daily logs of my progress and mini-projects made over the course of this challenge
100daysofpython backend-development bootstrap5 css3 flask game-development hacktoberfest html5 jinja matplotlib numpy pandas python python-gui selenium tkinter turtle web-development webscraping
Last synced: 10 Apr 2026
https://github.com/balakrish001/python-course
The Python course provides a thorough foundation in Python programming, starting with core concepts and progressing to OOP. It covers essential libraries like NumPy and Pandas for data manipulation and analysis. You'll also learn how to send emails using Python's SMTP library and interact with APIs for real-world applications,
api numpy oops-in-python pandas problem-solving python smtp
Last synced: 10 Apr 2026
https://github.com/kwasi-dankwa/game-sales
This project investigates why Nintendo’s global market share fluctuated between 2010–2016, identifies top-performing genres and regions, and builds predictive models to forecast sales and regional performance. It culminates in specific, actionable recommendations to grow market share.
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https://github.com/yousefmostafa125/image-processing
An interactive image processing web app built with Streamlit and OpenCV. The app allows users to upload an image, apply various processing steps, and download the results individually or as a ZIP file.
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Last synced: 03 May 2026
https://github.com/sudarshanasrao/ee541-deep_learning-usc
USC graduate level Deep Learning course
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Last synced: 10 Apr 2026
https://github.com/jeniljani-4444/end-to-end-car-price-prediction-model
Predict car prices effortlessly using this machine learning model. Built with Python and Scikit-learn it analyzes features like mileage age brand and more to estimate accurate prices. Perfect for buyers sellers and dealerships.
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https://github.com/skywalkersam/python-101
Introduction to Python 3
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Last synced: 25 Dec 2025
https://github.com/sawaira-iqbal/data-visualization-project-on-car-sales-data
Explore Sales Data Visualization with Interactive Charts & Insights! 📊 Uncover trends and patterns to drive smarter automotive decisions.
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Last synced: 12 Apr 2026
https://github.com/skmirajulislam/yolov3-object-tracker
OBJECT DETC YOLO DEEP LEARNING MODEL
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https://github.com/sandyherho/buku_metnum_python
Repositori ini memuat kode dan gambar yang digunakan pada buku "Pengantar Metode Numerik Terapan Menggunakan Python".
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https://github.com/mays-m/deeplearning
In deep learning, with the help of data and training, neural networks are created and trained, which create better predictions than before with the help of neural networks.
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Last synced: 11 Apr 2026
https://github.com/zenithclown/agine
Library for finding Nearest Neighbor or to find if two points on Earth have a Direct Line of Sight.
bearing bearing-calculations distance-calculation euclidean-distance geometry haversine manhattan-distance nearest-neighbor-search numpy pandas rasterio shapely
Last synced: 28 Jan 2026
https://github.com/sasivakulrithwik/059_iva_assignment-1
Image processing and object detection using OpenCV, including color detection, smoothing, edge detection, and face detection with Haar cascades. 🚀
ipython-notebook numpy opencv python3
Last synced: 10 Apr 2026
https://github.com/quickheaven/scs-3251-statistics-for-data-science
Repository dedicated to Term Project of UofT Statistics for Data Science Course
data-science jupyter-notebook logistic-regression numpy pandas python
Last synced: 10 Apr 2026
https://github.com/yessasvini23/pytorch-bootcamp-on-ai-by-opencv
This OpenCV course is highly recommended for individuals seeking an introductory experience in Computer Vision and AI, and who wish to establish a strong foundation for their career development.
cnn-classification computer-vision cv2-library deeplearning-ai numpy opencv pytorch rnn-tensorflow
Last synced: 13 Apr 2026
https://github.com/takaiwai/deep-learning-notes
Documentation of my learning process about deep learning and its math
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https://github.com/thiagohrcosta/machinelearning-temperature
A Small Machine Learning application leveraging Scikit-Learn and statistical learning to extract knowledge from data without explicit programming.
machine-learning numpy pandas python3 scikit-learn
Last synced: 08 Apr 2026
