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/batrick-swaistan/nalaiya_thiran
Nalaiya Thiran IBM Course Training
matplotlib numpy pandas-dataframe python
Last synced: 05 May 2026
https://github.com/theadeelahmed/mall-customers-segmention
This project segments mall customers based on income, age, and shopping score. Using clustering techniques, it identifies key customer groups for targeted marketing campaigns. Tools used: Pandas, Matplotlib, Seaborn, and Scikit-learn
matplotlib-pyplot numpy pandas python3 seaborn sklearn-clustering
Last synced: 05 May 2026
https://github.com/voidwalker7/mnist
MNIST Digit Detector Model using only Numpy
from-scratch-in-python mnist numpy python
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https://github.com/pramodyasahan/cifar-10-object-recognition
This repository contains a TensorFlow-based image classification model designed to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset comprises 60,000 32x32 color images in 10 classes, with 6,000 images per class.
convolutional-neural-networks numpy python tensorflow
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https://github.com/rohra-mehak/sciencesync
System for Personalized Google Scholar Alerts Processing and Data Management, and provision of ML based clustering analysis
agglomerative-clustering clustering crossref-api customtkinter google-api google-scholar graph-api machine-learning numpy pandas python3 scientific-article-analysis scikit-learn sqlite3
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https://github.com/nomissbowling/nomissbowling.github.io
nomissbowling.github.io
c cplusplus matplotlib numpy pyob python python-cpp-wrapper wrapper wx wxpython
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https://github.com/muthupillai1204/diwali_sales_analysis
The Diwali sales analysis reviews past data to identify trends, peak buying times, popular products, and customer demographics. It assesses sales volume, revenue growth, and promotional effectiveness, helping businesses optimize marketing and inventory for future seasons.
data datacleaning eda excel jupyter-notebook matlplotlib numpy pandas python seaborn visualization
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https://github.com/dulajkavinda/fashion-classification
👗 classify fashion items using machine learning
added machinelearning matplotlib numpy pandas python scikit
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https://github.com/eesunmoon/applied_machine_learning
[Fall 2024] Applied Machine Learning
applied-machine-learning clustering cnn data-preprocessing eda linear-regression machine-learning matplotlib neural-networks nltk-python numpy pandas pca python scikit-learn seaborn tensorflow text-classification
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https://github.com/vi-ssh-al/diamond-price-prediction
matplotlib ml numpy panda seaborn
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https://github.com/vasu7052/recognizing-handwritten-digits
This is a machine learning project created in Python using Neural Networks and Supervised Learning Algorithms.
machine-learning machine-learning-algorithms numpy python scikit-learn
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https://github.com/supernovasatsangi23/modifying-biomarker-gene-identification-for-effective-cancer-categorization
A project that focuses on implementing a hybrid approach that modifies the identification of biomarker genes for better categorization of cancer. The methodology is a fusion of MRMR filter method for feature selection, steady state genetic algorithm and a MLP classifier.
dataset deep-learning deep-neural-networks feature-selection genetic-algorithm machine-learning machine-learning-algorithms mlp-classifier mrmr neural-network numpy pandas-dataframe python python3 scikit-learn scikit-learn-python tkinter-gui tkinter-python
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https://github.com/nahiyanhkhan/data-processing-and-visualization
Loan Data Processing using Python's numpy and pandas libraries. For data visualization, matplotlib and seaborn are used.
data-analysis-python data-visualization matplotlib numpy pandas seaborn
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https://github.com/kalwalt/pybind-test
A simple example with pybind and numpy with C++ code
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https://github.com/trainingbypackt/hands-on-machine-learning-with-python
Structure, build, and deploy machine learning projects
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CNN kullanarak Orman Yangını Tahmin/Tespit Sistemi
matplotlib numpy opencv-python pandas sckiit-learn seaborn tensorflow
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https://github.com/vikkiezdev/ai-global-index-analysis
This project analyzes the AI readiness of 62 countries using key indicators like government strategy, commercial activity, research, development, and infrastructure. Through data cleaning, EDA, and visualization, it identifies key drivers of AI adoption and competitiveness.
cleaning-data correlation-analysis eda matplotlib numpy pandas python3 seaborn statistical-analysis
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https://github.com/eshansugeesh/fico-score-loan-default-modeling-project
Credit risk assessment using FICO score segmentation, loan default modeling, discretization techniques, and log-likelihood evaluation for predictive analytics in financial services.
bucketing classification credit-risk customer-segmentation data-science discretization fico-score financial-analytics loan-analysis loan-default log-likelihood machine-learning numpy pandas predictive-modeling risk-modeling scikit-learn segmentation statistical-modelling
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https://github.com/shahriarha/programming
Python problem solving, HR-30 days of code, DSA, NumPy
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https://github.com/iama02/vet-medicine-analysis
Analysis of 50,000+ veterinary medicine records with Pandas and NumPy, highlighting dosage forms, manufacturers, indications, and shelf life trends.
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https://github.com/rishabhmathur06/fetching-jobs-data-using-beautifulsoup
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Mandelbrot's Fractal Constructions
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https://github.com/billgewrgoulas/recommendation-systems
Algorithms for joke rating prediction using the joke data-set from Kaggle.
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https://github.com/mat-kubiak/manual-ml
DIY ML framework (using only NumPy!) + various demos
artificial-intelligence examples machine-learning ml ml-framework neural-networks numpy
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https://github.com/sankaran-s2001/us-traffic-accidents-analysis-python-eda
Exploratory data analysis of US traffic accidents from 2016-2023, analyzing patterns by time, location, weather, and severity using Python data science libraries.
data-analysis data-science data-visualization eda matplolib numpy pandas python
Last synced: 06 May 2026
https://github.com/erick957/saleprice-prediction-dataset-analysis-and-cleaning-advance-regression
🏠 Predict house prices using advanced regression techniques with this comprehensive analysis and cleaning project, from data loading to model deployment.
data-analysis data-science eda google-colab machine-learning numpy pandas python scikit-learn scikit-learn-python
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https://github.com/khaymanii/credit-card-fraud-detection-model
This model was built using python and Logistic Regression Machine Learning algorithm
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Last synced: 09 May 2026
https://github.com/mikma03/datascience_python_datacamp
DataScience with Python. Code and examples. Python libraries, including pandas, NumPy, Matplotlib, and many more.
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https://github.com/kunalpisolkar24/gradientdescent
A Python implementation of gradient descent for linear regression, visualized with cost function history, parameter trajectory, and a 3D cost surface.
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https://github.com/alinenog/desenvolve_gb_2022
Formação Desenvolve 2022 do Grupo Boticário na área de dados
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Data visualization using Python
barplot fooddata matplotlib-pyplot numpy pandas python restaurant visualizations
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https://github.com/purcellcjp/credit-risk-classification
This project utilized Python and scikit-learn libraries to train and evalute a Machinge Learning model based on loan risk.
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https://github.com/sopheakchan/dull-razor-algorithm
DullRazor hair removal for dermoscopic skin images.
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https://github.com/patilsukanya/assignment-05.-multiple-linear-regression-q2
Used libraries and functions as follows:
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https://github.com/paulo-santos-ds/llm
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https://github.com/aqueeqazam/numpy-for-mathematical-computing
You're at the perfect spot if you're interested in developing your career in data science or machine learning, or if you just enjoy having fun with mathematical operations.
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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.
accuracy-score ai countvectorizer cross-validation joblib logistic-regression machine-learning ml multinomialnb naive-bayes-classifier nltk-library numpy pandas randomforestclassifier svc
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https://github.com/fbi555/fashion-mnist-cnn-tf
🧵 Classify fashion images using a compact CNN model in TensorFlow/Keras, designed for the Fashion-MNIST dataset with easy execution in Google Colab.
adam classification cnn colab-notebook computer-vision convolutional-neural-networks custom-training-loop deep-learning fashion-mnist gans image-classification interactive jupyter-notebook keras lowlevelapi mnist-dataset numpy regularization
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https://github.com/ellennewerkla/apriori-analise_cesta_de_mercado
Análise de Cesta de Mercado (Market Basket Analysis) utilizando o algoritmo Apriori para identificar regras de associação entre produtos em um conjunto de transações de supermercado.
apriori-algorithm jupyternotebook marketbasketanalysis mathplotlib mba numpy pandas python3
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https://github.com/zahediparsa/nlp_ta_uok
This repository contains exercises designed for students in the Natural Language Processing (NLP) course at the University of Kurdistan, taught by Dr. Fatemeh Daneshfar. The course took place from February 2024 to July 2024.
cbow jupyter-notebook matplotlib nlp nltk numpy pandas python tf-idf
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https://github.com/dev-dur/student_exam_analysis
This is a beginner-friendly data analysis mini-project using NumPy, Pandas, and Matplotlib. The project generates random student exam scores, analyzes them, and visualizes the results.
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https://github.com/jlmsc/gaussian-elimination
Python implementation of the Gaussian Elimination method for solving systems of linear equations.
algorithms back-substitution educational gaussian-elimination linear-algebra linear-systems math matrix numerical-methods numpy pysimplegui python row-echelon-form scientific-computing sympy
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https://github.com/sabbir45ali/cam-board
This is Python based project which is a virtual board and we write there using our finger and clear it and color changing.
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https://github.com/semanurbilada/chatbot
Developing ChatBot [ open source ]
custom-dataset intents keras keras-neural-networks keras-tensorflow model-training nlp nlp-machine-learning nltk-python numpy open-source pickle tensorflow
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https://github.com/dhruvrajsinhzala24/house-price-predictor-ml-model
A machine learning project to predict house prices using linear regression and random forest models. The project leverages housing data to train and evaluate models, comparing their performance using metrics like MSE and R². Visualizes actual vs. predicted prices to assess model accuracy.
linear-regression machine-learning matplotlib ml numpy pandas python random-forest-regression sklearn
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https://github.com/jsimell/sleepanalysis
A Python data analysis project analyzing the sleep quality affecting factors and temporal patterns in the sleeping data of a single subject.
data-analysis matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/williyam-m/company-registration-trends
Utilized Linear Regression from scikit-learn to predict future company registration trends.
flask matplotlib numpy pandas-python scikit-learn
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https://github.com/swapnilvishwakarma/twitter_sentiment_dashboard
Using Streamlit and Python, I created interactive data dashboards and used Pandas to manipulate data in data science workflows. I also used Plotly to create interactive graphs.
dashboard machine-learning matplotlib numpy pandas plotly sentiment-analysis streamlit-webapp webapp wordcloud
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https://github.com/vineet416/eda-hr-analytics
EDA on HR-Analytics by PW Skills Data Analytics course
data-analysis data-analysis-python data-analytics data-preprocessing data-processing data-visualization exploratory-data-analysis jupyter-notebook matplotlib-pyplot numpy pandas python seaborn statistical-analysis
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https://github.com/waghraj1699/pokemon-predicton
Predict which type of pokemon it is using CNN
data-science deep-learning keras numpy python tensorflow utils
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https://github.com/khushi130404/regulexa
Regulexa is a Python project that showcases and compares Ridge, Lasso, and Elastic-Net regularization techniques in machine learning. It includes visualizations and performance insights to help prevent overfitting and improve model generalization.
elastic-net-regression lasso-regression numpy ridge-regression
Last synced: 17 May 2026
https://github.com/saifalibaig/covid-19-death-rate-analysis-using-python
Analysis of Covid-19 data along with the world happiness report to identify if there is any relationship between death rate and happiness rate of countries all over the world.
data-analysis data-visualization numpy pandas python3 sns visualization
Last synced: 03 May 2026
https://github.com/lorenzorottigni/ml-breast-cancer
Machine Learning python bootcamp: Support Vector Machines using breast cancer dataset
ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines
Last synced: 14 Apr 2026
https://github.com/ramchaik/cinebrain
CineBrain uses ML & NLP to analyze movies and recommend similar ones based on user preferences through cosine similarity.
cosine-similarity flask htmx kaggle machine-learning movie-recomendation-system nlp nltk numpy pandas sklearn tailwind tmdb tmdb-api unsupervised-learning vectorization
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https://github.com/xanonymous-github/multimediax
The collections of class projects in Multimedia Technologies and Applications class, NTUT.
deep-learning machine-learning numpy opencv-python
Last synced: 06 May 2026
https://github.com/polyee99/kaggle-titanic-data-analytics
Jupiter notebook to predict the outcome of passengers who died or not in the tragical Titanic event.
data eda jupiter-notebook matplotlib numpy pandas python regression-analysis test-train-split visualization
Last synced: 05 Feb 2026
https://github.com/hansalemaos/cirdhighspeedcoverter
High speed conversion of IP addresses represented in CIDR notation into their corresponding start and end IPs, along with their respective subnet masks.
cidr data-manipulation ip-addresses ip-conversion network network-management network-security numpy pandas subnet-mask
Last synced: 27 Jan 2026
https://github.com/timeless-residents/handson-tensorflow-numpy
A practical guide to learning and using TensorFlow and NumPy for data manipulation and machine learning
data-science machine-learning numpy tensorflow tutorial
Last synced: 06 May 2026
https://github.com/bharath-tars/deeptumor2.0
DeepTumor2.0 is a project aimed at developing a flask webapp with robust front end and highly trained model using tensorflow in the backend with several features like with automatic html template reporting. **NOTE: DeepTumor2.0 has been moved from Azure to On-Render to save costs**
css datetime docs flask github html javascript keras numpy onrender os pandas python sheety smtp tensorflow
Last synced: 21 Jan 2026
https://github.com/fairlytales/machine_learning
Workbooks for machine learning and neural network courses, textbooks, etc.
jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy opencv opencv-python pandas python pytorch scikit-learn scipy
Last synced: 14 Apr 2026
https://github.com/saylie/cat-dog-classifier-
The Cat-Dog Classifier is a deep learning-based image classification project that can differentiate between images of cats and dogs. It uses a Convolutional Neural Network (CNN) model trained on labeled datasets to predict whether a given image belongs to a cat or a dog.
ai javascript keras numpy opencv python react tensorflow
Last synced: 14 Apr 2026
https://github.com/ananupam/eda-titanic
An Exploratory Data Analysis project done on Titanic Dataset.
Last synced: 14 Apr 2026
https://github.com/salma-mamdoh/the-android-app-market-on-google-play-project
My project aims to practice Data Analysis and Data Visualization on DataCamp
data-analysis data-visualization datacamp jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/psgebeline/b2_plotter
A simple Python package for use by Belle II analysts to make various plots out of pandas dataframes and numpy arrays.
jupyter-notebook matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python uproot visualization-tools
Last synced: 19 Jan 2026
https://github.com/pedrosfaria2/analisetitulosnetflix
Estudo de popularidade dos filmes da Netflix no IMDB.
analise-de-dados data-analysis jupyter-notebook matplotlib numpy pandas python
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https://github.com/betiniakarandut/portfolio-project
Sukkar and Cornell Integral Approach to Estimate Static Bottom Hole Pressure(SBHP)
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https://github.com/yaswanth1702/python
matplotlib numpy pandas python scipy
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https://github.com/chandkund/housing-price-prediction
Predict housing prices using the Boston Housing Dataset. Covers data loading, cleaning, preprocessing, EDA, normalization, standardization, and regression models (Linear Regression, Decision Tree, Random Forest, Extra Trees). Evaluated with Mean Squared Error (MSE). Tech: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.
data-science data-visualization matplotlib numpy pandas pyhton sklearn sklearn-library sklearn-metrics
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https://github.com/architj6/gesture-control-system
This Gesture Control System allows users to control various system functions (like mouse movement, volume adjustment, and screen brightness) using hand gestures through a webcam. It leverages MediaPipe for hand tracking and PyAutoGUI for controlling the system. The project enables intuitive, hands-free control for everyday tasks.
brightness-control cursor cursor-control doubleclick drag-and-drop gesture handgesture handgesture-recognition mediapipe numpy opencv os pyautogui pycaw python python3 scroll volume-control
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Automation with Python (Second Year Projects)
automation chromedriver numpy openpyxl pandas-dataframes python selenium
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https://github.com/paulokarabyna/ml-foundations-day1
🔧 Set up a Python environment and practice linear algebra with NumPy while plotting vectors and reflections in this Day 1 ML foundations starter repository.
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https://github.com/al-ghaly/stock-market-simulation
Simulate and visualize stock market behavior
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https://github.com/nabilshadman/python-uk-weather-analytics
An end-to-end data science workflow of UK weather data
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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!
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https://github.com/mbarbetti/hello-snakemake
Simple implementation of snakemake to sample and plot data
hello-world matplotlib numpy python snakemake
Last synced: 14 Apr 2026
https://github.com/tnel7/data-science-yandex-practicum
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data-science machine-learning nlp-machine-learning numpy pandas seaborn sklearn
Last synced: 19 Jan 2026
https://github.com/ianhaggerty/final-capstone
This represents the final capstone project in my HyperionDev Data Science (fundamentals) course. A dataset of Amazon customer reviews is analysed using natural language processing.
amazon data-analytics data-science data-visualization dataset matplotlib nlp nlp-machine-learning numpy pandas plotly reviews seaborn spacy tabulate textblob wordcloud
Last synced: 19 Jan 2026
https://github.com/architj6/gesture-volume-control
Easily control your system volume with simple hand gestures! This project leverages OpenCV, MediaPipe, and Pycaw to track hand movements and adjust the system volume dynamically. Say goodbye to keyboard shortcuts and volume buttons—just move your hand to set the volume!
handgesture mediapipe numpy opencv os pycaw python python3 volume-control
Last synced: 03 May 2026
https://github.com/sohitbennett/roadsafe
A Deep learning computer vision system for real-time traffic safety monitoring.
computer-vision esrgan keras numpy pandas python scikit-learn tensorflow tesseract-ocr yolov5 yolov8
Last synced: 08 Apr 2026
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.
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Last synced: 24 Feb 2026
https://github.com/muhammadshavaiz/hand-sketch-recognition--inceptionv3
The Hand Drawn Sketch Classification project uses PyTorch to classify hand-drawn sketches. It evaluates model Inception_v3, with Inception_v3 achieving the highest accuracy of 57%. The repository features scripts for dataset management, model training, and evaluation.
inception-v3 matplotlib numpy pandas python pytorch
Last synced: 14 Apr 2026
https://github.com/naveen88112/vehicle-routing-problem
Vehicle Routing Problem (VRP) Solver This project applies a Genetic Algorithm (GA) to optimize the Vehicle Routing Problem (VRP). This is done for more than one vehicle to ensure delivery routes that save travel distance and increase efficiency.
deap genetic-algorithm matplotlib numpy python vehicle-routing-problem
Last synced: 13 Apr 2026
https://github.com/arsh-pixel-cmd/ai-image-classifier
AI Image Classifier is a web app that uses AI and deep learning to classify images in real-time. Built with Streamlit, TensorFlow (MobileNetV2), OpenCV, and NumPy, it allows users to upload single or multiple images and get the top-3 predictions with confidence scores instantly in the browser.
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Last synced: 10 Apr 2026
https://github.com/gojoel/brockton-data-analysis
Analyzes police logs from the city of Brockton, MA and attempts predictive analysis.
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Last synced: 09 May 2026
https://github.com/bhavnanahar/coral_project
ChatGPT said: This project analyzes and predicts the health of coral reefs in the Florida Keys by examining coral cover and species richness trends over time.
colab-notebook matplotlib numpy pandas plotly python random-forest scikit-learn seabo
Last synced: 14 Apr 2026
https://github.com/shuyib/pimadlkeras
Using keras specify-compile-fit- predict workflow on this binary classification problem to investigate if i'll get better predictions.
diabetes hidden-layers keras-neural-networks matplotlib-figures model-validation numpy pima-indians-dataset prediction predictive-modeling python-3-5 seaborn
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https://github.com/faisal-khann/ipl-analysis
The IPL Analysis project is a comprehensive data-driven exploration of the Indian Premier League (IPL), analyzing historical match data to uncover patterns in team performance, player statistics, and match outcomes.
data-analysis exploratory-data-analysis jupyter-notebook matplotlib numpy pandas seaborn
Last synced: 08 May 2026
https://github.com/gherrada22/spanish-sign-translator
This project uses Python and the OpenCV and MediaPipe libraries to detect and translate signs in real time.
language matplotlib mediapipe numpy opencv pycharm-ide python python3 spanish-language toml
Last synced: 18 Jan 2026
https://github.com/nikhleshshukla123/web-scraping-using-python
scrapes multiple pages of Amazon search results using python.
beautifulsoup4 numpy pandas python
Last synced: 03 May 2026
https://github.com/lunanvarg/bid-data-cac22039
En este repositorio se vé mi TP Integrador del programa Codo a Codo: Big Data
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Last synced: 06 May 2026
https://github.com/ahmedabdalkreem/lung-cancer
It help to know the patient have lung cancer or not and show what depenent in this disease that lead to this disease.
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https://github.com/harmanveer-2546/reducing-data-entries
Way to delete data entries from csv/excel file using. For excel file, use excel instead of csv in the code.
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Last synced: 05 May 2026
https://github.com/rachakondaganesh/superstore-sales-data-analysis-project
Analyzed retail sales data to uncover key business insights using Python and Power BI. Explored patterns in profit, sales, and customer segments across regions. Built interactive dashboards to visualize trends, identify top-performing categories, and highlight areas for improvement in shipping and discount strategies.
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Last synced: 02 May 2026
https://github.com/atul-maurya-30/galaxy
Galaxy Classification is a machine learning project focused on classifying galaxies into two subclasses: 'STARFORMING' and 'STARBURST'. This project demonstrates data preprocessing, model training, and evaluation using advanced machine learning techniques and Python libraries.
flask machine-learning matplotlib numpy pandas python regression-classification seaborn sklearn
Last synced: 09 Mar 2026