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/vidushibhadana/eda-on-nyc-taxi-data
About Conducting an Exploratory Data Analysis (EDA) on New York City taxi data and visualizing it through countplots, distribution plots (displot), and histograms using Python and it's libraries.
data data-visualization jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 11 Apr 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/varkenvarken/blempy
small, safe utilities to efficiently transfer Blender property-collection attributes (e.g. vertex coordinates) to/from NumPy arrays and perform vectorized operations with minimal Python overhead.
Last synced: 13 Jan 2026
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
Last synced: 11 Apr 2026
https://github.com/misszeferino/erp-data-analysis
Data Analysis - ERP Data (merge and outliers)
data-analysis data-visualization matplotlib merge numpy outlier-detection python scipy
Last synced: 11 Apr 2026
https://github.com/volf52/deep-neural-net
A simple deep neural net class written to work with Numpy and Cupy
binarized-neural-networks binary-neural-networks bnn cupy deep-learning deep-neural-networks mnist numpy python python3
Last synced: 05 May 2026
https://github.com/dhruwsunita/iphones-eda-analysis
EDA analysis on apple products.
data-analysis data-visualization eda matplotlib numpy pandas plotly python seaborn
Last synced: 06 May 2026
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.
anaconda artificial-intelligence conda-environment matplotlib neural-networks numpy pandas python3 tensorflow tensorflow-gpu transortfow-
Last synced: 11 Apr 2026
https://github.com/i-am-nolan25/python-for-data-science-ai-development
Jupyter Notebooks from Python for Data Science, AI & Development Course
api beautifulsoup data-science data-visualization datacollection datastructures matplotlib numpy pandas python rest-api webscraping
Last synced: 06 Mar 2025
https://github.com/sandyherho/buku_metnum_python
Repositori ini memuat kode dan gambar yang digunakan pada buku "Pengantar Metode Numerik Terapan Menggunakan Python".
belajar-pemrograman belajar-python indonesia indonesian-language matematika-terapan matplotlib metode-numerik numerical-methods numpy python scipy
Last synced: 16 Jan 2026
https://github.com/jai0212/course-selector-uoft
A program that suggests university courses based on your program and provides a custom GUI to customize your course plan. Created to help UofT students
beautifulsoup csv graphs graphs-algorithms networkx-graph numpy os parser pickle pillow plotly python tkinter-gui tkmacosx
Last synced: 06 May 2026
https://github.com/mooseburger1/nfl-social-network-analysis
Performing Social Network Analysis on the 2017 NFL schedule - Scraping the web with Python and Pandas
data-mining data-science data-visualization gephi matplotlib networkx networkx-graph numpy pandas-dataframe python-3 regular-expression social-network-analysis web-scraping
Last synced: 18 Apr 2026
https://github.com/dhanish03/credit_card_fraud_detection
Developed and implemented an advanced CCFDS using ML algorithms and pattern recognition techniques. Integrated real-time monitoring and adaptive learning capabilities into the system to dynamically adjust fraud detection parameters, ensuring effectiveness in identifying emerging fraud patterns.
kaggle-dataset numpy pandas-dataframe python3 sklearn
Last synced: 16 Apr 2026
https://github.com/ttwag/p2_gaussian_elimination
A function that encodes the Gaussian Elimination algorithm
algorithm linear-algebra numpy python
Last synced: 29 Apr 2026
https://github.com/skmirajulislam/yolov3-object-tracker
OBJECT DETC YOLO DEEP LEARNING MODEL
convolutional-neural-networks cv2 numpy python3 yolov3
Last synced: 18 Apr 2026
https://github.com/hemanthsaikumarbethapudi/last-mile_delivery_optimization.py-
This project implements an AI-powered last-mile delivery optimization system using Python. It leverages graph-based route optimization, demand prediction, and cost analysis to improve delivery efficiency in urban areas.
Last synced: 27 Aug 2025
https://github.com/raufjatoi/ai-programming
Programming for AI labs
ai deep-learning jupyter-notebooks machine-learning matplotlib numpy pandas python pytorch seaborn sklearn tensorflow
Last synced: 11 Apr 2026
https://github.com/harmanveer-2546/student-performance-in-exam
Student performance analysis and prediction using datasets has become an essential component of modern education systems. With the increasing availability of data on student, schools and universities are using advanced analytics and machine learning algorithms to gain insights into student performance and predict future outcomes.
classification-report cluster dbscan dimensionality-reduction k-means-clustering labelling linear-regression logistic-regression numpy pandas pre-processing random-forest-classifier test-train-split unsupervised-machine-learning visualization
Last synced: 06 May 2026
https://github.com/skywalkersam/python-101
Introduction to Python 3
bootcamp django flask jupyter-notebook matplotlib ml numpy pandas python-bootcamp python-development python-scripting python3 web-scraping
Last synced: 25 Dec 2025
https://github.com/iamsaniasingh/heart_disease_prediction
This is my very first machine learning project, where I used a supervised learning algorithm—logistic regression—to predict heart disease. The model was trained and tested entirely on a pre-existing dataset, with no user input involved. The goal was to understand how ML models work and how they can be applied in healthcare predictions.
logistic-regression machine-learning machine-learning-algorithms numpy pandas python sklearn
Last synced: 11 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.
machine-learning matplotlib numpy pandas python scikit-learn seaborn streamlit
Last synced: 10 Apr 2026
https://github.com/lucasgleria/seamese-network-algorithm
Este projeto implementa um sistema de busca por similaridade de imagens usando redes siamesas e Triplet Loss em PyTorch. Ele gera embeddings de imagens (MNIST com EfficientNet-B0) para encontrar visuais semelhantes. O foco está na análise visual e no aprendizado de representações no espaço vetorial.
google-colab matplotlib numpy pandas python pytorch timm
Last synced: 11 Apr 2026
https://github.com/djdhairya/breast-cancer-prediction
accuracy aiml machine-learning mean numpy pandas pkl prediction python streamlit
Last synced: 11 Apr 2026
https://github.com/abrarshahok/electric-vehicle-charging-station-energy-consumption-prediction
With the rapid adoption of electric vehicles, optimizing energy usage at charging stations has become crucial for improving operational efficiency and ensuring customer satisfaction. This tool leverages predictive modeling to forecast energy consumption for charging sessions based on various input features.
matplotlib numpy pandas plotly python3 scikit-learn xgboost
Last synced: 09 Jun 2026
https://github.com/mrktsm/spam-email-recognizer
Long Short-Term Memory (LSTM) network trained to classify emails as spam or non-spam. It processes email content to make accurate predictions and can be integrated into projects for efficient spam detection and email management.
data-preprocessing keras lstm-neural-network model-architecture nltk numpy pandas performance-evaluation scikit-learn spam-classification-model tenserflow training-the-model
Last synced: 09 Apr 2026
https://github.com/riju18/from-data-production-to-client-handover
The common tedious problem is to build a data app to demonstrate the data analysis & analytics along with Machine Learning to a client. It was an attempt to do it on small scale in the most powerful & simplest way.
machine-learning matplotlib numpy pandas plotly python seaborn streamlit
Last synced: 30 Apr 2026
https://github.com/prince-pastakiya/human-resources-tableau-project
👥 Interactive Tableau dashboard for HR analytics — includes workforce overview, demographics, income analysis, and detailed employee records with full filtering.
chatgpt data-analysis data-visualization human-resources numpy python python-faker tableau-dashboards tableau-public
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https://github.com/aymen016/cosmic-mystery-challenge-2912
"Explore the depths of space and unravel cosmic mysteries in the year 2912 with our Cosmic Mystery Challenge repository. Dive into data science adventures as you predict the fate of passengers aboard the Spaceship Titanic after a collision with a spacetime anomaly. Join us in reshaping history and saving lives across the universe!"
kaggle matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python scikit-learn scikitlearn-machine-learning seaborn
Last synced: 10 Apr 2026
https://github.com/lmizner/grokking_data_science
Coding practice for basic data science interview questions in Python
data-science numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/rotantos/ml-projects
Includes various ML projects created for educational purposes.
classification-model jupyter-notebook machine-learning numpy pandas python sklearn-library
Last synced: 10 Apr 2026
https://github.com/abideen-olawuwo/fraud-detection
A Fraud Prediction Model
kears logistic-regression matplotlib numpy pandas pickle scipy seaborn sklearn tensorflow
Last synced: 10 Apr 2026
https://github.com/kianaabrisham/svm-from-scratch
Linear SVM from scratch with hinge loss + decision boundaries
classification from-scratch fundamentals hinge-loss numpy optimization scikit-learn svm
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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/malintha-induwara/python-for-ds
This repository contains my personal notes, exercises, and examples for Python
numpy pandas python webscraping
Last synced: 07 May 2026
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/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/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
Last synced: 10 Apr 2026
https://github.com/thearnavrustagi/cepstral_analysis
audio feature extraction
cepstral-analysis feature-extraction numpy python3 scipy
Last synced: 07 May 2026
https://github.com/kaladabrio2020/calculusnumerics
Trabalho da cadeira de Métodos Numérico I
metodos-numericos numpy python tkinter-gui
Last synced: 18 May 2026
https://github.com/samir-atra/license-plate-recognition
License plate recognition system
imageai-library knn lpr numpy object-detection opencv python tensorflow tensorflow-tutorials
Last synced: 03 May 2026
https://github.com/anas436/python
This is Python Programming Language. Here, the basic problems of Python language have been solved. If you can solve these problems then your basic skills will be developed in this language and you will be suitable for doing good projects.
jupyter-notebook jupyterlab numpy pandas pycharm python3 watson-studio
Last synced: 11 Apr 2026
https://github.com/ksharma67/anomaly-detection-on-temperature-device-failure
A typical anomaly detection task and performing KMeans, PCA, Gaussian distribution, and Isolation Forest.
eda ellipticenvelope feature-engineering gaussian-distribution isolation-forest kmeans-clustering numpy pca python sklearn
Last synced: 11 Apr 2026
https://github.com/gregoritsch3/ml_eda_clustering_aidassessment
An EDA and Machine Learning Clustering exercise on the Country Aid Assessment dataset demonstrating the use of PCA, KMeans and DBSCAN clustering, Elbow Methods, etc. The clustering algorithm successfully demarcates countries that are in most dire need of aid based on their GDPP and Child Mortality rate.
anova dbscan kmeans machine-learning matplotlib numpy pandas pca scikit-learn seaborn statistics
Last synced: 16 Apr 2026
https://github.com/kishanlalchoudhary/be-sem-7
BE SEM 7 Assignments
blockchain cpp design-analysis-algorithms machine-learning matplotlib numpy pandas scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/felinjob/ibm-applied-data-science-capstone
Este projeto, parte da especialização IBM Data Science Professional Certificate, prevê o sucesso do pouso do Falcon 9 da SpaceX. Usando dados da API da SpaceX e Web Scraping, o projeto inclui análise de dados e Machine Learning para gerar insights sobre os lançamentos.
data-analysis data-science data-visualization ibm jupyter-notebook machine-learning numpy pandas python scikit-learn seaborn sql
Last synced: 11 Apr 2026
https://github.com/jonad/boston_housing_price
Predicting Boston Housing Prices.
boston-housing-dataset jupyter-notebook matplotlib numpy pandas python3 scikit-learn
Last synced: 11 Apr 2026
https://github.com/rodrigojunqueiradev/data-exploration-and-cleaning
Credit Analysis Data: Foundations for Cleaning and Exploration
data-analysis data-engineering data-science data-visualization datascience matplotlib matplotlib-pyplot numpy pandas python python-3 python3
Last synced: 13 Apr 2026
https://github.com/rock12231/data-science-using-python-jupyter-notebook
Data Science Using Python Jupyter Notebook
data-science jupyter jupyter-notebook numpy pandas python
Last synced: 15 Mar 2025
https://github.com/suhas-005/jovian-data-analysis-course-assignment
These are my assignments for Data Analysis : Zero to Pandas course by Jovian.ai
data-analysis data-analytics numpy pandas python
Last synced: 07 May 2026
https://github.com/andremenezesds/rossmann_sales_predict
Sales Prediction for Rossmann Pharmaceutics database using Machine Learning regression modeling
boruta cross-validation data-exploration data-science database flask-application git linux linux-shell machine-learning matplotlib numpy pandas python scipy sklearn xgboost-regression
Last synced: 11 Apr 2026
https://github.com/abideen-olawuwo/financial-inclusion
A Bank account Prediction in Africa
matplotlib numpy pandas python seaborn sklearn xgboost-classifier
Last synced: 10 Apr 2026
https://github.com/andrehaguiar/curso_py-data_science-machine_learning
Ciência de Dados e Inteligência Artificial com Python e estatística.
anaconda3 data-science jupyter-notebook machine-learning matplotlib numpy pandas python scipy seaborn sklearn spyder sql sql-server statistics
Last synced: 11 Apr 2026
https://github.com/kane-dylan/spamshield
SpamShield
mechine-learing numpy pandas python scikit-learn scipy streamlit
Last synced: 10 Apr 2026
https://github.com/ngangawairimu/data-validation-using-python
Agricultural dataset validated using python code for usage. Building a data pipeline that will ingest and clean data with the press of a button.
jupyter-notebook numpy pandas pytest python
Last synced: 13 Apr 2026
https://github.com/charles-l/rayboi
a raytracer written in futhark/python
futhark numpy pathtracing python3 raytracing
Last synced: 19 Apr 2026
https://github.com/vishnu-vamshii/heart-disease-prediction-using-ml
This project presents an end-to-end data analysis and machine learning pipeline for predicting heart disease using a publicly available dataset. The project includes data exploration, visualization, and implementation of various machine learning models to predict the likelihood of heart disease based on a set of clinical attributes.
machine-learning matplotlib numpy pandas python seaborn sklearn
Last synced: 11 Apr 2026
https://github.com/oleksiilatypov/dru_data_science_fundamentals
DataRootUniversity, TensorFlow, Coursera, Kaggle
data-science kaggle machine-learning neural-network numpy pandas sklearn-library tensorflow
Last synced: 11 Apr 2026
https://github.com/eljandoubi/genre_classification
Create an ML pipeline for Genre Classification using MLflow.
hydra machine-learning mlflow numpy pandas pandas-profiling pytest scikit-learn scipy wandb
Last synced: 11 Apr 2026
https://github.com/talapanenivarshithchowdary/asteroid-detection-ml
This project uses Machine Learning to detect and classify asteroids based on trajectory and size, aiding in Near-Earth Object detection and planetary defense.
classification data-science decision-trees jupyter-notebook knn logistic-regression machine-lea matplotlib numpy pandas pillow prediction python3 random-forest scikit-learn
Last synced: 11 Apr 2026
https://github.com/audy21/datacamp
Learning portfolio documenting my progress, while taking Data Analyst & Data Science certifications from DataCamp.
data-analysis data-science machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/nishi1612/knight-tour-problem
IT485 Logic of Inference Project on Knight's Tour. A hamiltonian path problem to determine path of knight to travel entire chessboard with every cell visited only once.
backtracking-algorithm bootstrap flask html knights-tour localhost numpy pygame python tkinter warnsdorff
Last synced: 11 Apr 2026
https://github.com/amanyadav-07/customer-churn-prediction
Machine Learning project to predict customer churn using Logistic Regression, Random Forest, and XGBoost. Includes data preprocessing, feature engineering, SMOTE balancing, model training, evaluation, and business insights.
accuracy-metrics data-analysis data-visualization logistic-regression machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn sklearn xgboost-classifier
Last synced: 11 Apr 2026
https://github.com/arthurdsant/dataanalysis-agricultural_raw_material
This Python project performs analysis and visualization of agricultural raw material price data using a Kaggle dataset. Based on Jupiter Notebook and Python.
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 26 Jan 2026
https://github.com/swarnabhaghosh/house-price-prediction-model
Built an end-to-end regression pipeline to predict house prices using Linear Regression with automated preprocessing (PowerTransform, StandardScaling) via Scikit-learn's Pipeline and ColumnTransformer.
column-transformer linear-regression matplotlib-pyplot numpy pandas pipeline python scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/mgitrov/lifespan-x-population-status
A machine learning project aiming to predict animals' lifespan and population status.
bs4 data-science machine-learning matplotlib numpy pandas python regular-expressions requests seaborn sklearn
Last synced: 11 Apr 2026
https://github.com/aksoni07/movie-recommendation
A hybrid movie recommendation system designed to deliver personalized and accurate suggestions by combining user preferences, item attributes, and collaborative patterns, ensuring a seamless and engaging experience.
clustering content-based-filtering data-analysis embeddings jupyter-notebook numpy ollaborative-filtering pandas personalization python recommendation-systems scikit-learn user-item-interactions
Last synced: 11 Apr 2026
https://github.com/rahatmoktadir03/customer-churn-prediction
A machine learning project for predicting customer churn, enabling businesses to identify at-risk customers and develop retention strategies.
business-analytics customer-churn-prediction data-science google-colab machine-learning numpy pandas python sklearn strreamlit xception-model
Last synced: 11 Apr 2026
https://github.com/alimiheb/morphotype-web-app
A modern web application that analyzes body morphotypes (Ectomorph, Mesomorph, Endomorph) using MediaPipe AI and provides personalized fitness and nutrition plans.
body-tracking flask mediapipe numpy opencv pandas pillow python3
Last synced: 10 Apr 2026
https://github.com/chintanboghara/rocket-simulation
A comprehensive web-based orbital mechanics simulator with advanced mission planning, real-time tracking, and educational features.
docker flask html javascript numpy plotly python
Last synced: 11 Apr 2026
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
Last synced: 11 Apr 2026
https://github.com/nachtfeuer/covid19
Python script(s) for visualizing corona data
csv json matplotlib numpy pandas python requests tkinter
Last synced: 05 May 2026
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
Last synced: 10 Apr 2026
https://github.com/eduardoprofe666/mn-api
🐍📦 Paquete de Python con implementaciones de métodos numéricos
mn-api numerical-methods numpy pandas python scipy simpy tabulate
Last synced: 04 Jan 2026
https://github.com/aicorsair/python-case-study-ab-testing-for-lunartech-homepage-cta-button
This repository contains a detailed case study on an A/B test of LunarTech's homepage CTA button, using proxy data structured similarly to the company's real data.
ab-testing click-through-rate confidence-intervals data-analysis data-analytics data-exploration data-science data-visualization hypothesis-testing matplotlib normal-distribution numpy pandas practical-significance python statistical-analysis statistical-significance z-critical z-statistic z-test
Last synced: 07 May 2026
https://github.com/badranalyst/student-tests-data-analysis-application
Python-based analysis of student test scores in math, reading, and writing, examining correlations with parental education, lunch type, and test preparation. Includes data cleaning, visualization, and statistical insights into factors influencing academic performance.
data-analysis data-visualization dataset matplotlib numpy pandas python sklearn
Last synced: 05 May 2026
https://github.com/abhirajp595/python
Data Science Project using Python
data-analysis data-science data-visualization eda jyputer-notebook numpy pandas statistics
Last synced: 08 May 2026
https://github.com/amanda-ucc/market-tracker
Automated portfolio creator that generates a portoflio which mimics a bench mark index by minimizing the tracking error.
beta covariance numpy pandas scipy sharpe-ratio tracking-error variance yfinance
Last synced: 11 Apr 2026
https://github.com/kahngjoonkoh/randomshapegenerator
A program that will generate images with random shapes and background colours. Can be customized and generated in bulk.
generative-art numpy opencv python threading tkinter
Last synced: 11 Apr 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/ricardorobledo/ml_optimization
matplotlib numpy python scikit-learn xgboost
Last synced: 11 Apr 2026
https://github.com/allanreda/telco-customer-churn-predictor-app
A web-based machine learning application that predicts customer churn using a logistic regression model. Built with Scikit-Learn for model training, Gradio for the user interface, and deployed on Google Cloud App Engine. The app allows users to input customer data and receive predictions on churn risk to support business decision-making.
app-engine data-visualization deployment google-cloud gradio hyperparameter-tuning logistic-regression machine-learning numpy pandas scikit-learn
Last synced: 16 Apr 2026
https://github.com/dastogirrudro/machine-learning-and-deep-learning
This is my thesis project which i have done in varsity.Here i used machine learning and deep learning i used LSTM as deep learning.This can identify aggresive spam message. Here i used pandas scikit-learn and many more framework i used python as a programming language.I used many algorithm for highering the accuracy of my project.
deep-learning lstm machine-learning numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/bunu23/image-classification
This repository contains a notebook implementing a Convolutional Neural Network for multi-class image classification using transfer learning with a pre-trained ResNet-50 model. Covers dataset handling, model architecture customization, training, evaluation, fine-tuning, and external image prediction.
keras matplotlib numpy pil python tensorflow
Last synced: 11 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/matbesancon/kaggle-digit-recognizer
Some tests with the Kaggle Digit Recognition challenge
image-processing kaggle kaggle-digit-recognizer machine-learning mnist-dataset numpy pandas python scikit-image scikit-learn
Last synced: 11 Apr 2026
https://github.com/erikbrinkman/hilbert-bytes
A python library for converting between d-dimensional points and indices on a hilbert curve
hilbert-curve numba numpy python
Last synced: 08 May 2025
https://github.com/bhawnamehbubani/advanced-zomato-restaurant-clustering-and-sentiment-analysis
This project leverages this data to perform clustering and sentiment analysis, providing actionable insights for customers and business growth.
matplotlib-pyplot nltk numpy pandas seaborn sklearn wordcloud
Last synced: 05 May 2026
https://github.com/udhaya2823/dataspark-illuminating-insights-for-global-electronics
✨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-science data-visualization database-management datacleaning exploratory-data-analysis matplotlib numpy pandas powerbi python seaborn sql version-control
Last synced: 11 Apr 2026
https://github.com/andersoncrs/prediccion_precio_vehiculos_statsmodels
Este proyecto utiliza un modelo de regresión lineal para predecir el precio de vehículos basándose en sus características principales. El análisis incluye la definición del problema, exploración y limpieza de datos, conversión de variables categóricas a numéricas, evaluación de correlaciones y entrenamiento del modelo.
analisis-de-datos analisis-exploratorio-de-datos matplotlib numpy seaborn statsmodels visualizacion-de-datos
Last synced: 26 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/ksganni/diabetes-prediction-using-machine-learning
🔬 A machine learning project that predicts diabetes likelihood using patient health metrics and multiple classification algorithms.
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Last synced: 28 Apr 2026
https://github.com/shwetapardhi/assignment-03-q1--hypothesis-testing
Q1.A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validit
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