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/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
Last synced: 06 May 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/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/kunalshelke90/wine-quality-testing
This project is about creating a machine learning algorithm that can predict the quality of wine based on the given dataset. Different machine learning algorithms such as logistic regression, decision tree and random forest are used in this project.
eda feature-engineering flask machine-learning numpy pandas python
Last synced: 10 Apr 2026
https://github.com/oyebamiji-micheal/data-analysis-with-python-zero-to-pandas
This repository contains all assignments and project completed when I took a course, "Data Analysis with Python: Zero to Pandas", on Jovian
data-analysis numpy pandas python
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https://github.com/dhaase-de/dito
Yet another toolbox for the daily work with OpenCV under Python.
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https://github.com/alansteinbarth/irysy
🪻 Irysy 🌼 eksploracyjna analiza danych – wizualizacje, ML, transparentny kod i autorskie grafiki. Projekt łączący AI, estetykę i praktyczne umiejętności!
ai classification clean-code data-science exploratory-data-analysis feature-engineering github-pages iris-dataset jupyter-notebook machine-learning matplotlib modern-ui numpy open-source pandas portfolio-project python reproducible-research seaborn visualization
Last synced: 17 Oct 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/trivediayush/Accident-and-Drowsiness-Detection
Our college minor project is a comprehensive solution aimed at enhancing road safety. The project comprises two main components: an Accident Detection Model and a Real-Time Driver Drowsiness System.
accident-detection accidents-analysis college-project cvzone dlib-face-detection dlib-face-recognition face-detection face-recognition imutils minor-project numpy opencv pandas python python3 yolov8
Last synced: 22 Aug 2025
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
anomalies-detection auc-roc-curve confusion-matrix gridsearchcv hold-out-cross-validation knn knn-classification machine-learning matplotlib matplotlib-pyplot multiclass-classification normalization-techniques numpy pandas python scikit-learn seaborn stratified-cross-validation
Last synced: 10 Apr 2026
https://github.com/beyzabasarir/northwind-traders-analysis
Northwind dataset analysis using PostgreSQL, Python, and Power BI. Focused on sales, customers, shipping, and performance insights.
dashboard data-analysis data-visualization jupyter-notebook matplotlib numpy pandas postgresql powerbi python seaborn
Last synced: 10 Apr 2026
https://github.com/antodata/hate_crimes_spain_2014_2017
Analysis of hate crimes in Spain between 2014 and 2017 using official data
chi-square chi-square-test data-analysis data-visualization datascience folium hatecrime json lgtbiq linear-regression maps matplotlib numpy pandas python python3 scipy selenium selenium-webdriver sklearn
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https://github.com/rishikesh-jadhav/machine-learning-practice-projects
This repository contains my end to end ML practice projects as a part of the ML zero to mastery course by Daniel Bourke and Andrei Neagoie
classification data-science data-visualization dataanalysis deep-learning hadoop jupyter-notebooks machine-learning neural-network numpy pandas pyspark python pytorch regression scikit-learn supervised-learning tensorflow time-series transfer-learning
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https://github.com/neelays/xor-xnor_neural_network
NumPy neural network to approximate XOR/XNOR
Last synced: 15 May 2026
https://github.com/ledsouza/machine-learning-introducao-a-classificacao-com-sklearn
Explorar classificação por machine learning, analisando algoritmos em exemplos cotidianos, comparando técnicas e entendendo o aprendizado de máquina por trás, com abordagem científica.
graphviz matplotlib numpy pandas python seaborn sklearn
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https://github.com/fanisgl/cnn_machine_learning
A Machine Learning exercise that trains Convolutional Neural Network (CNN) using the tensorflow 2 and Keras libraries to predict images from the CIFAR-10 dataset.
data-science keras machine-learning neural-networks numpy pandas pooling-layers relu softmax tensorflow2
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https://github.com/navindafernando/lane-detection
Lane Detection with Image Feature Extraction Techniques :aerial_tramway:
image-feature-extraction kernel-filters machine-learning neighborhood numpy opencv sobel-filter
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https://github.com/saivarun2611/potato_disease_classifier
This project is a Potato Disease Classifier that uses a Convolutional Neural Network (CNN) to classify potato leaves as healthy, suffering from early blight, or late blight. The model helps in early detection of diseases, which can be crucial in maintaining crop health and yield.
cnn keras matplotlib numpy pandas python3 tensorflow
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https://github.com/icepanorama/internship-visualizations-and-demonstrations
A collection of some of the programs that I've written over the course of my internship.
artificial-intelligence machine-learning matplotlib numpy pandas python3 pytorch scikit-learn
Last synced: 14 Apr 2026
https://github.com/samir-atra/experiments_and-_improvements
A repository showing the knowledge in some of the machine learning technologies there are.
dcgan-tensorflow numpy tensorflow-tutorials tensorflow2
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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).
apache-kafka apache-spark api data-engineering data-extraction fastapi flask numpy oop pandas python webhooks
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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/mwoss/mownit
Various tasks from numerical analysis laboratories solved using Python
jupyter-notebook mathematics matplotlib numerical-analysis numpy python scipy
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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.
beautifulsoup chromadb fastapi gpt-turbo numpy openai-api python3 question-answering rag react requests sentence-transformers tailwindcss web-scraping
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https://github.com/kane-dylan/spamshield
SpamShield
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deep-learning natural-language-processing neural-networks numpy
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https://github.com/hariprasath-v/hackerearth_transunion-data-science-analytics-hiring-challenge_2022
Machine learning model to classify the credit score based on people bank details and credit related information.
catboost exploratory-data-analysis klib machine-learning matplotlib numpy optuna pandas python seaborn sklearn
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https://github.com/chandkund/customer-segmentation-using-k-means-clustering
Implemented K-Means Clustering to segment customers based on purchasing behavior, enabling targeted marketing strategies. Analyzed data, optimized clusters using the Elbow Method, and derived insights to enhance customer engagement and retention.
data-science kmeans-clustering machine-learning matplotlib numpy pandas python seaborn sklearn
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https://github.com/mlicamele/neural-network
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A modern web application that analyzes body morphotypes (Ectomorph, Mesomorph, Endomorph) using MediaPipe AI and provides personalized fitness and nutrition plans.
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photo and album organizer for gtk3
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This study uses a quantitative research design to analyze the relationship between Bitcoin prices and the stock market over the past five years with the S&P 500 Index serving as a proxy for the stock market.
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https://github.com/nickklos10/compressive-strenght-prediction
This project predicts concrete compressive strength using a neural network regression model built with Keras.
jupyter-notebook keras matplotlib numpy pandas python scikit-learn
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https://github.com/bilgenurbekar/turkishcyberbullying
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ipynb linear-regression machine-learning numpy pandas python scikit-learn seaborn
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https://github.com/rubyyy1118/share-price-analysis
The assignment in my MSc Business Analytics course
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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. 🚀📊
advanced-excel data-analysis data-cleaning data-collection data-transformation data-visualization matplotlib numpy pandas powerbi python seaborn sql tableau
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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/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
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https://github.com/apbetioli/neural-network
A simple neural network implementation
machine-learning neural-network numpy python3
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https://github.com/luliatuccu/weather_analysis
This project highlights a combination of data science techniques and Python programming to explore real-world weather data.
data-preprocessing eda feature-engineering machine-learning matplotlib numpy pandas regex scikit-learn seab seaborn weather weather-patterns
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https://github.com/yashaka/learncv
Toolset used in learning Computer Vision at R_D course
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https://github.com/alefair/ds
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ipython jupyter matplotlib numpy pandas python sklearn
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https://github.com/mariacarolinass/processamento-imagem
Processamento de Imagens com OpenCV
cv2 gradio gradio-interface huggingface matplotlib numpy opencv python
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https://github.com/manuel-lang/numpymongo
A python package to export NumPy data to MongoDB
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https://github.com/adriantomin/bulldozer-price-prediction
Predicting the Sale Price of Bulldozers Using Machine Learning 🚜💰 This project uses machine learning to predict bulldozer sale prices based on historical data from the Kaggle Bluebook for Bulldozers competition. The goal is to minimize the RMSLE between actual and predicted prices.
data-science jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn
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https://github.com/shreshthvashisht/bank-loan-case-study
Risk Analytics using Python
data-cleaning data-imputation data-normalization data-standardization exploratory-data-analysis jupyter-notebook loan-analytics loan-default-prediction matplotlib-pyplot numpy pandas python-data-analysis python-data-science risk-analysis seaborn-plots
Last synced: 07 May 2026
https://github.com/hafaio/homeotopy
A python library for computing homeomorphisms between some common continuous spaces
Last synced: 24 Feb 2026
https://github.com/hariprasath-v/machinehack_intel_oneapi_hackathon_the_llm_challenge
Generate a response for the question from pre-defined text using LLM(Extracted Question-Answering(QA) Model).
accuracy exploratory-data-analysis extractive-question-answering huggingface machine-learning matplotlib nlp nltk numpy pandas python seaborn sklearn spacy spellchecker wordcloud
Last synced: 10 Apr 2026
https://github.com/yukti1sharma/emotion-based-music-recommender
Emotion based music recommendation system
detection-model emoji facial-expression-recognition jupyter-notebook keras-tensorflow machine-learning mediapipe music neural-networks numpy opencv python realtime streamlit webapp
Last synced: 10 Apr 2026
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/rtmigo/skifts_py
Search for the most relevant documents containing words from a query. Uses Scikit-learn and Numpy
cosine-similarity information-retrieval numpy python scikit-learn text-mining tf-idf
Last synced: 19 Aug 2025
https://github.com/harmanveer-2546/covid-19-chances-detection
The main goal of this project is to build a machine learning model that, given a Covid-19 patient's current symptom, status, and medical history, will predict whether the patient is in high risk or not.
covid-19 covid-data logistic-regression matplotlib mlp-classifier numpy pandas python random-forest seaborn sklearn-library xgboost
Last synced: 10 Apr 2026
https://github.com/pushtogithub23/projectilemotion-simulation
This Jupyter notebook explores projectile motion through mathematics, visualizations, and interactive simulations.
jupyter-notebook matplotlib-pyplot numpy physics-simulation projectile-motion-simulation
Last synced: 28 Jan 2026
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
Last synced: 10 Apr 2026
https://github.com/liblaf/array-typing
🧮 Type-safe array operations for NumPy, JAX, and PyTorch
array code-quality documentation jax numpy python static-analysis torch type-hints typing
Last synced: 19 Aug 2025
https://github.com/datamallo/python101
The ressources you need to learn or get better in Python. Covering the basics of Python3, NumPy and Pandas for
Last synced: 18 Apr 2026
https://github.com/salvatoreamaddio/pipeline-assessment
Pipeline Simulation
anaconda jupiter-notebook mysql mysql-database numpy pandas pandas-python python sparql sparql-query
Last synced: 08 Apr 2026
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
Last synced: 10 Apr 2026
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
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
Last synced: 28 Apr 2026
https://github.com/asut00/Machine-Learning-Program_42AI
Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.
linear-regression machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 27 Oct 2025
https://github.com/nordszamora/ds-ml-projects
My repository for Data Science & Machine Learning projects.
data-analysis data-science data-visualization jupyter-notebook kaggle machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 15 Apr 2026
https://github.com/mjshubham21/ny_yellow_taxi_python_da_project
A data analysis project of New York Yellow Taxi (Feb of 2025) using Python and its libraries for analytics like : NumPy, MatPlotLib, Pandas and Seaborn.
data-analysis jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 04 May 2026
https://github.com/subhamsarangi/ml
Machine Learning
classifier deep-learning keras machine-learning neural-network numpy pandas python3 regression scikit-learn scipy tensorflow testing training
Last synced: 10 Apr 2026
https://github.com/bedirk/portfolio-projects
Data Analytics Portfolio Projects
dataanalysis excel mssqlserver numpy pandas powerbi python sql tableau
Last synced: 16 Mar 2026
https://github.com/jinhx128/data_analysis
基于Matplotlib+Numpy+Pandas搭建的数据分析项目。
matpolotlib numpy pandas python
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https://github.com/yannbouyeron/yannbouyeron.github.io
Python pour les SVT
1s alignement anagene biopython clustal enzyme genetique genopy geopandas koala matplotlib-pyplot numpy pandas phylogenie python svt traduction transcription ts
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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
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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."
eda epochs mlp-classifier neural-network numpy pandas-python perceptron-learning-algorithm python regression sckiit-learn seaborn streamlit streamlit-webapp tensorflow
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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/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.
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https://github.com/andres29ac/website_heatmaprisk
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https://github.com/guy1998/synthetic-data-generator-for-event-cameras
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computer-vision event-cameras numpy opencv synthetic-data
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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
Last synced: 15 Apr 2026
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/shwetapardhi/assignment-03-q5--hypothesis-testing
Chi2 contengency independence test Q5. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis. Assume Null Hypothesis as Ho: Independence of categorical variables (% of
alternate-hypothesis chi2-contingency contingency-analysis hypothesis-testing null-hypothesis numpy pandas python scipy significance-testing stats
Last synced: 28 Jan 2026
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
Last synced: 28 Jan 2026
https://github.com/ialam085/super_store_sales_analysis_python
The project is indeed focused on performing an exploratory data analysis (EDA) of Super Store Sales data from various perspectives, using comprehensive visualizations.
charts matplotlib numpy pandas python seaborn visualization
Last synced: 10 Apr 2026
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/devllm/exemple-de-quantization
Démo de quantization de modèle
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https://github.com/headless-start/yolov4-tiny-raspberrypi
This repository contains YOLOv4-Tiny deployment on Raspberry pi.
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https://github.com/matheusafonseca/c213-trabalho-1
Repository dedicated to storing and managing the first assignment for C213 - embedded systems.
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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/lexxai/goit_python_ds_hw_01
GoIT, Python Data Science, Homework number 1.
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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/asherk7/house-price-prediction
House Prices - Advanced Regression Techniques - Predict sales prices and practice feature engineering, RFs, and gradient boosting
data-science numpy pandas regression scikit-learn
Last synced: 15 Apr 2026
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
Last synced: 15 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.
data-visualization jupyter-notebook matplotlib numpy pandas-dataframe powerbi python seaborn sql
Last synced: 18 Apr 2026
