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: 2026-02-02 00:22:23 UTC
- JSON Representation
https://github.com/anish37860/python_party
Python summer party by Interview Master & in partnership with DataCamp
Last synced: 16 Oct 2025
https://github.com/yanisdib/somint
Somint - AI-powered Trading Card Grading
ai api devcontainer docker numpy opencv python yolov8
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https://github.com/aqueeqazam/machine-learning-using-scikit
This repository contains all of the algorithms used to train the machine learning models using the Scikit library.
Last synced: 05 Jul 2025
https://github.com/anarya22/accenture-north-america-data-analytics-and-visualization-job-simulation-on-forage
Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture. Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions. Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.
analyzing-visualization data-cleaning data-visualization numpy pandas powerbi powerpoint-presentations
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https://github.com/arv-anshul/notebooks
My Jupyter notebooks in which I practice data science.
classification data-analysis data-science jupyter-notebook machine-learning matplotlib numpy pandas python3 regression seaborn visualization
Last synced: 14 May 2025
https://github.com/asut00/python-piscine_42ai
Python Bootcamp: A one-week intensive course with 42AI at École 42, covering Python fundamentals, data manipulation, and introductory AI concepts.
matplotlib numpy pandas python
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https://github.com/tushar365/titanic---machine-learning-from-disaster
"Titanic: Machine Learning from Disaster" is a classic Kaggle competition for beginners https://www.kaggle.com/competitions/titanic. The goal is to use machine learning to predict which passengers survived the sinking of the Titanic based on historical data. This teaches data analysis and model building skills in a real-world context.
data-science dicision-tree logistic-regression machine-learning matplotlib-pyplot numpy pandas python seaborn
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https://github.com/deanlogan/data-analysis-course
Code created when completing the Data Analysis with Python Course on freecodecamp.org
course data-analysis numpy pandas python python3
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https://github.com/sohan181204/airline-ticket-price-analysis
The analysis of airline ticket prices explores the dynamic and competitive nature of the aviation industry in India. With rapid economic growth and increasing air travel demand, understanding ticket price trends is crucial for airlines, passengers, and policymakers.
Last synced: 24 Aug 2025
https://github.com/balajig-24/titanic_data_analysics-
Project Title: Titanic Survival Prediction Project Overview The Titanic Survival Prediction project is a classic machine learning problem that aims to predict whether a passenger survived the Titanic disaster based on various features such as age, gender, passenger class, and more. This project demonstrates my ability to clean, analyze, and model.
jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/cyberlument/opencv-colormasking-red-
This mini project opencv is for educational purpose.
numpy opencv opencv-python pycharm vscode
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https://github.com/prarthana-singh/bangalore-house-price-predictor
🏡 Bangalore House Price Prediction – A Machine Learning model to predict house prices in Bangalore using real estate data. Built with Linear Regression, Python, Pandas, NumPy, and Scikit-Learn.
data-analysis eda house-price-prediction linear-regression machine-learning numpy pandas python real-estate regression scikit-learn
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https://github.com/tralahm/datascience
Getting started with Data science Numerical Analysis and Scientific Computing
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https://github.com/ijproject/calculate-absorption-rate
大気を構成する分子ごとの赤外線吸収割合を計算するプログラム。
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https://github.com/abideen-olawuwo/sign-language
Multi Class Image Classification
convolutional-neural-networks deep-learning keras machine-learning matplotlib neural-network numpy pandas tensorflow
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https://github.com/fearless-spider/spideroptic-cli
Spider Optic CLI is a command line application.
cement cli cli-app command-line makefile numpy oanda pypi python
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https://github.com/somyaaaaaa2004/travelling-sales-man-problem
This project is a soft computing-based solution to the Traveling Salesman Problem (TSP) using a Genetic Algorithm (GA), implemented entirely from scratch in Python on Google Colab. The goal of the TSP is to find the shortest possible route that visits each city exactly once and returns to the starting point. It's a classic NP-hard combinatorial
genetic-algorithm jupyter-notebook matplotlib-pyplot numpy pandas python travelling-salesman-problem
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https://github.com/harmanveer-2546/eda-on-indian-railways
Indian Railways is a statutory body under the ownership of the Ministry of Railways of the Government of India that operates India's national railway system. As of 2023, it manages the fourth largest national railway system by size with a track length of 132,310 km, running track length of 106,493 km and route length of 68,584 km.
clean-data eda exploratory-data-analysis geometry geopandas indian-railways json linestring matplotlib numpy os pandas plotly python railway seaborn shapely train visualization
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https://github.com/harmanveer-2546/sports-bets-winning-algorithm
Sports betting is the activity of predicting sports results and placing a wager on the outcome.
adaboostclassifier ascii betting-models ensemble extratreesclassifier gradientboostingclassifier kneighborsclassifier labelencoder matplotlib mlpclassifier nfl nflstats numpy pandas plotly python seaborn sports-data string winning-algorithm
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https://github.com/harmanveer-2546/predicting-schizophrenia-disorder
The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase
boxplot decisiontreeregressor disorder linearregression matplotlib mean-squared-error numpy pairplot pandas prediction randomforestregressor schizophrenia seaborn train-test-split visualization
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https://github.com/harmanveer-2546/house-price-prediction-
We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.
catboost-classifier linear-regression machine-learning matplotlib numpy pandas python random-forest seaborn svm
Last synced: 30 Dec 2025
https://github.com/karthik9273/revolutionizing-gold-rate-forecasting-for-small-businesses-with-machine-learning
The "Gold Price Prediction" project focuses on predicting the prices of gold using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, Random Forest Regressor, and others, this project provides a comprehensive solution for accurate price estimation.
data-science google-colab-notebook jupyter-notebook machine-learning matplotlib numpy pandas-dataframe python seaborn sklearn
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https://github.com/harmanveer-2546/credit-card-fraud-detection
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https://github.com/satyacoder29/crm-analytics-power-bi
CRM Analytics Dashboard – An interactive dashboard using Tableau, SQL, and Salesforce CRM Analytics (CRMA) to analyze sales performance, customer segmentation, and churn prediction. Features automated ETL pipelines, predictive analytics, and real-time insights for data-driven decision-making. 🚀📊
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Machine Learning: Sistema de Reconhecimento Facial criado com OpenCV e YOLO11.
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https://github.com/gautamthampy/color-detection
Provides colour names and HTML/RGB mappings in various output formats.
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https://github.com/codersales/machine-learning-project
Machine Learning Project
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EDA analysis on apple products.
data-analysis data-visualization eda matplotlib numpy pandas plotly python seaborn
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computer-vision image-manipulation matplotlib numpy python
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Biopython Record Work and few extra coding excercise
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Credit-Card-Fraud-Detection
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https://github.com/csengupta1101/rock-paper-scissor-game
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https://github.com/muneeb706/exploratory-data-analysis
Exploratory Data Analysis of some problems using python (numpy & pandas)
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https://github.com/ewdlop/computational-physcis-notes
Computational Physics written in Python
maple matlab numpy physics-simulation python qsharp scipy wolfram-mathematica
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analytics matplotlib numpy pandas seaborn
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Data Science on predicting House rate in Bangalore.
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https://github.com/abhinav330/customer-behavior-analysis-linear-regression
This repository explores customer behavior data for an NYC clothing company with both a mobile app and website. They want to understand which platform drives higher sales.
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https://github.com/abhisingam/brickbreaker
A Terminal-Based game made in Python that emphasises upon the use of OOPs concepts. Python | NumPy | Game Development
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https://github.com/ritwika-das-gupta/flight_price_prediction
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cross-validation data-science data-visualization desiciontree flask gridsearchcv html-css-javascript hyperparameter-tuning json machine-learning matplotlib numpy pandas pickle python scikit-learn sklearn statistics supervised-learning
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https://github.com/elmezianech/email-spam-ham-classifier-lr
Email Classifier: A machine learning project using Python that categorizes emails into spam and ham (non-spam). Utilizes the Scikit-Learn library, employing logistic regression and TF-IDF (Term Frequency-Inverse Document Frequency) vectorization for text analysis and classification.
ai emails jupyter-notebook logistic-regression machine-learning ml numpy pandas python spam-detection spam-filtering tfidfvectorizer
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https://github.com/emredemirbas/google-playstore-eda
Exploratory Data Analysis (EDA) of the Google Play Store dataset — examining trends in app ratings, categories, pricing, and user engagement using Python and LaTeX.
exploratory-data-analysis matplotlib numpy pandas python seaborn
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https://github.com/jkosla/neural_network_from_scratch_numpy
Neural Network From Scratch in Python | Build a simple neural network from scratch using pure Python and NumPy. Learn about forward propagation, backpropagation, and training with gradient descent. Accompanies my Medium article.
ai aritificial-intelligence medium nerual-networks numpy python3 tutorial
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https://github.com/dmitryryumin/python_libs
Библиотеки Python
bokeh matplotlib numpy pandas plotly python scikit-learn seaborn
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https://github.com/rakesh3596/apple-phone-sales-analysis
Apple Phone Sales Analysis using Python tools like Pandas, Matplotlib, Numpy, Plotly, Apple csv file
csv-files csv-reader matplotlib numpy pandas plotly python
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https://github.com/loaiwalid07/portfolio
Loai Nazeer portfolio
classification clustering computer-vision data-science deep-learning deep-neural-networks machine-learning matplotlib matplotlib-pyplot nlp nlp-machine-learning nltk numpy pandas plotly sklearn streamlit tensorflow-tutorials
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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
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https://github.com/Verozavr/taxi-data-analytics-project
Data analytics and visualization projects in Python
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https://github.com/tansudasli/tensorflow-sandbox
all about machine learning
apache-arrow keras machine-learning numpy pandas scikit-learn tensorflow2
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https://github.com/sonaligill/olympics-analysis
The outcome of this project is an interactive streamlit web application that visualizes the analysis of Olympic data while rendering different aspects of Olympic history, compare country performances, and gain insights into athlete demographics.
numpy plotly python scikit-learn scipy streamlit
Last synced: 28 Jan 2026
https://github.com/suresh-28/weather-forecasting-using-machine-learning
Weather Forecasting using machine Learning in python
csv-files jupyter-notebook machine-learning ml numpy pandas-dataframe prediction python
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https://github.com/diogoribeiro7/vortex2d
2D vortex particle method (Gaussian-core) with RK4, viscosity, plots, animations
cfd matplotlib numpy python simulation vortex-method
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https://github.com/jessicahora/series_temporais
Análise de Series Temporais do Consumo de Energia da Alemanha.
numpy pandas python time-series-analysis
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https://github.com/danishzulfiqar/predictive-maintenance-model-training
Model Training and Deployment Scripts for Predictive Maintenance.
h5 jupyter-notebook keras-tensorflow mongodb mongosse numpy nural-network pandas pickle shap tensorflow
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https://github.com/bartosz-ziolkowski/social_data
Data analysis of San Francisco's crime data set from 2003 to 2018
data-science data-visualization jupyter-notebook numpy pandas python
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https://github.com/ondiekelijah/shadowcoach-formtracker
A computer vision-based workout form tracking application that uses AI to monitor exercise form, count repetitions, and provide real-time feedback.
mediapipe-pose numpy opencv-python
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https://github.com/al-ghaly/stock-market-simulation
Simulate and visualize stock market behavior
matplotlib numpy python python-visualization
Last synced: 17 Oct 2025
https://github.com/ediloaz/linear-regression-with-lists-numpy-and-pytorch
This was done like the homework #01 of Machine Learning Course, of Computer Science Master.
arrays-raw jupyter-notebook machine-learning numpy python pytorch
Last synced: 24 Feb 2025
https://github.com/psavarmattas/covid19-dashboard
The goal of this project is not to build just another dashboard for Covid 19. But, to focus on collaborative plot ideas, and a mobile friendly UI/UX.
appseed bootstrap covid covid-19 css dashboard django docker html javascript json numpy plotly python travis-ci
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https://github.com/bhanuprakashnani/scit-tasks
Tasks for the SCIT Work Shop.
Last synced: 20 Feb 2025
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: 09 Apr 2025
https://github.com/sudip-13/plant-disease-detection
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https://github.com/max134/deepplate
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computer-vision cv2 deep-learning image-recognition licesnse-plate-recognition numpy object-detection ocr paddleocr real-time-processing sqlite3 ultralytics yolov11
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https://github.com/llwusill/nlpbadwords
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colab-notebook matplotlib nlp nlp-machine-learning nlp-parsing nltk notebook-jupyter numpy pandas python seaborn snowballstemmer wordcloud
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https://github.com/addleonel/unitrevpy
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common-conversions numpy python3
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https://github.com/bhattbhavesh91/numpy-performance-test
Comparing the performance of Base Python Square root function with a numpy equivalent
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https://github.com/ourway/simple-cnn
A simple CNN implementation using numpy
convolutional-neural-networks numpy
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https://github.com/johassel/feed_forward_neural_network
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machine-learning neural-networks numpy python
Last synced: 20 Feb 2025
https://github.com/vyjayanthipolapragada/image_cartoonification_opencv
Cartoonify images using opencv and tkinter
cartoonify computer-vision easygui image-processing imageio matlplotlib numpy opencv pillow python tkinter
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https://github.com/ahshah322/world-happiness-report-2025
Data analysis and visualization of the World Happiness Report 2025 using Python (pandas, seaborn, matplotlib). Explores how GDP, health, freedom, generosity, and corruption perception influence global happiness.
data-analysis data-science matplotlib numpy pandas python seaborn worldhappiness
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https://github.com/lohiyah/real-estate-price-forecast
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flask matplotlib numpy pandas python3 scikit-learn seaborn
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https://github.com/kumartusha/machine_learning_fundamentals
🤖 Machine Learning Journey 🚀 A repository showcasing my learning journey in Machine Learning with hands-on projects, algorithms, and practice notebooks.
matplotlib numpy pandas python3 scikit-learn seaborn sql sqlite
Last synced: 28 Mar 2025
https://github.com/rkarahul/ok.win-big-small-predictor
Predict the next “Big” or “Small” outcome on the OK.Win lottery-style game using OCR + time-series features + ML.
joblib numpy opencv-python paddleocr paddlepaddle paddlepaddle-gpu pandas python sckit-learn
Last synced: 03 Nov 2025
https://github.com/cosmoquester/numpy-neural-net
This is neural network samples implemented with numpy without machine learning libraries.
implementation neural-network numpy
Last synced: 22 Jan 2026
https://github.com/badranalyst/movie-correlation-analysis-in-python
This project analyzes movie data correlations using Python libraries like Pandas, NumPy, Seaborn, and Matplotlib. It examines relationships between attributes such as ratings, genres, and box office performance to uncover trends that inform recommendations and enhance understanding of movie success factors.
data data-analysis dataset jupyter jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python seaborn
Last synced: 06 Sep 2025
https://github.com/amir0234-afk/housing-price-prediction-dnn
Keras + NumPy baselines for housing price regression
Last synced: 03 Nov 2025
https://github.com/chandkund/wine-quality-prediction
This project predicts wine quality based on physicochemical properties using machine learning models. By leveraging Random Forest Classifier, Logistic Regression, and SVM, the goal is to classify wines into quality categories and uncover the key factors that influence wine quality.
logistic-regression matplotlib numpy pandas-python random-forest-classifier svm-classifier
Last synced: 20 Feb 2025
https://github.com/elmezianech/classifyreviews_nlp
Revolutionize customer feedback analysis with our NLP Insights Analyzer. Utilize cutting-edge text preprocessing to transform raw reviews into a machine-friendly format. Explore sentiment models, such as Logistic Regression and Naive Bayes, employing cross-validation for model robustness.
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Last synced: 05 Dec 2025
https://github.com/matiassenia/modelo-prediccion-temperatura
Proyecto de machine learning que utiliza TensorFlow para predecir temperaturas en grados Fahrenheit a partir de temperaturas en grados Celsius. Incluye un script de Python para entrenar el modelo y realizar predicciones, así como datos de entrenamiento y visualizaciones
adam-optimizer machine-learning numpy python python3 tensorflow
Last synced: 09 Aug 2025
https://github.com/dbriane208/python-for-data-science
Machine Learning and Data Science repository. Love crafting Machine Learning models.
data-analysis data-science data-visualization machine-learning numpy pandas python seaborn
Last synced: 20 Feb 2025
https://github.com/debjyotisaha/data-analytics-projects-phase-2
Developed and showcased various data analytics projects, including data preprocessing, exploratory data analysis, and visualization. Utilized tools such as Python, Pandas, NumPy, and Matplotlib to derive actionable insights and demonstrate problem-solving capabilities.
data-analysis data-preprocessing eda matplotlib numpy pandas python seaborn
Last synced: 11 Jun 2025
https://github.com/navindafernando/lane-detection
Lane Detection with Image Feature Extraction Techniques :aerial_tramway:
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https://github.com/navindafernando/character-recognition
Sinhala Character Recognition using KNN :coffee:
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Last synced: 20 Feb 2025
https://github.com/winterwind/ecg_signal_classification
Two-part project that involves detecting the R-peaks in an ECG signal to extract the individual ECG beats and making a machine learning model to classify them
csv csv-files data-science decision-trees ecg ecg-classification ecg-signal jupyter jupyter-notebook knearest-neighbors knn machine-learning matplotlib matplotlib-pyplot numpy pandas pyplot python random-forest scipy
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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.
bigquery excel figma mysql notebook numpy pandas postgresql powerbi powerquery python sql sqlite wordpress
Last synced: 30 Dec 2025
https://github.com/ivangael/image-toolbox-backend
api-rest flask numpy opencv python tensorflow
Last synced: 28 Apr 2025
https://github.com/ifte-13/early-stage-brain-stroke-detection
Predictive Analysis & Early Detection of Brain stroke using Machine Learning Algorithm
decision-tree imbalanced-learn knn matplotlib numpy pandas random-forest scikit-learn seaborn
Last synced: 06 Jul 2025
https://github.com/timothyjan/intro-machine-learning-classifiers
We will use the scikit-learn library, which is a higher-level machine learning library that will work with NumPy data, and Pandas, a library that makes it easier to manipulate data. We will explore a variety of classification algorithms, and compare their performance on a “real-world” dataset, which will introduce its own set of challenges.
numpy pandas python scikit-learn
Last synced: 03 Nov 2025
https://github.com/marknature/opencv-bootcamp
If you are looking to take your first steps towards learning Computer Vision and AI using OpenCV, this is the best OpenCV course to jumpstart your career.
anaconda computer-vision cv2-library ffmpeg jupyter-notebook matplotlib numpy opencv os urllib zipfile
Last synced: 02 Mar 2025
