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/adikahnf/Data-analysis-with-Python
data-analysis numpy pandas python streamlit
Last synced: 31 Dec 2025
https://github.com/sudarshanc00/brain-tumor-classification
This project uses a deep learning model in PyTorch to classify brain MRI images into four tumor types, aiding early diagnosis and treatment planning. Two ResNet-based models were developed and optimized, achieving high accuracy to support healthcare professionals in identifying tumor categories.
matplotlib numpy pytorch resnet scikit-learn streamlit
Last synced: 10 Apr 2026
https://github.com/firewind25/gdp-data-extraction-and-processing
Data Extraction from a web resource using Web-Scraping and request APIs. Processed it using Pandas and NumPy libraries. Finally exporting it to csv file for further analysis
numpy pandas python webscraping
Last synced: 12 Jul 2025
https://github.com/blinksta1ker/spam-mail-classification
Supervised ML model using Logistic Regression model to classify an email as Ham or Spam
jupyter-notebook logistic-regression machine-learning numpy pandas python sklearn supervised-machine-learning
Last synced: 09 Apr 2026
https://github.com/zombietdv/cnn_and_beta-vae-
CNN and Beta-VAE implementation. Only Numpy as the main library.
automatic-differentiation backpropagation-algorithm beta-vae cnn deep-learning numpy optimization-algorithms
Last synced: 21 Mar 2025
https://github.com/Madhuresh2011/Leetcode-Questions-Analysis-Using-Python
The LeetCode Question Analysis is a Python-based project designed to help users analyze and gain insights into LeetCode problems. It allows users to track, categorize, and evaluate their progress, identify patterns in problem-solving, and optimize the preparation.
analysis csv-files matplotlib-pyplot numpy pandas python python-project seaborn
Last synced: 13 Sep 2025
https://github.com/memgonzales/order-brushing-shopee2020
Solution to the Week 1 Contest (Student Category) of the 2020 Shopee Code League on order brushing detection
data-analytics e-commerce fraud-detection jupyter-notebook numpy order-brushing pandas python rule-based
Last synced: 11 Apr 2026
https://github.com/pramodyasahan/custom-image-classification-model
This repository hosts a TensorFlow-based custom image classification model. The model is designed to classify images into binary classes, labeled as 'Happy' and 'Sad'.
computer-vision convolutional-neural-networks cv2 keras matplotlib numpy tensorflow
Last synced: 11 Apr 2026
https://github.com/sagravela/plotground
Plotting Tool with Matplotlib and Tkinter. Video Demo:
matplotlib numpy python tkinter
Last synced: 19 May 2026
https://github.com/martinkersner/kmeans-meetup
Presentation about k-Means for Seoul AI Meetup on July 22, 2017.
kmeans numpy python scikit-learn
Last synced: 03 May 2026
https://github.com/chandkund/recipe-recommendations
The Recipe Recommendations project leverages natural language processing (NLP) techniques to process recipe descriptions and classify them into categories like desserts, main courses, and more. The system provides personalized recommendations by analyzing the text input and suggesting relevant recipes.
embeddings matplotlib nlp numpy pandas softmax tensorflow
Last synced: 06 Apr 2026
https://github.com/andreazoccatelli/knn_fromscratch
knn implementation in numpy
classification knn-classifier machine-learning numpy
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https://github.com/ahmedabdalkreem/preprocessing
All you need to be dataset ready to work in model without any Noise.
Last synced: 07 Apr 2026
https://github.com/ashishsingh789/customer_purchase_prediction_using_decision-tree-_classifier
Decision Tree Classifier to predict customer purchases using demographic and behavioral data. Key steps: data preprocessing, EDA, model training, evaluation, and feature importance analysis.
data datascience desiciontree eda machine-learning-algorithms matplotlib numpy pandas-dataframe python seaborn
Last synced: 11 Apr 2026
https://github.com/hariprasath-v/machinehack-odetocode_predicting_weather_using_alien_fruit_properties
Identify the type of climate the exoplanet has based on the properties of the fruit by using machine learning.
catboost machine-learning matplotlib numpy pandas seaborn shap sklearn
Last synced: 11 Apr 2026
https://github.com/ashwathdazur/understanding-ds-using-python
Python NumPy, Pandas, Matplotlib and Seaborn for Data Analysis, Data Science and ML. Pre-machine learning Analysis.
data-science dataanalysis matplotlib numpy panda python3
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https://github.com/ramyacp14/salesforecasting
Forecasts future sales for a retail company using time series analysis with Facebook Prophet. The project involves data preprocessing, exploratory data analysis (EDA), and forecasting with holiday effects considered.
data-preprocessing data-visualization exploratory-data-analysis fbprophet machine-learning matplotlib model-evaluation numpy pandas python seaborn time-series-forecasting
Last synced: 06 Apr 2026
https://github.com/yashika-malhotra/machine-learning---linear-regression-on-education-institute
In this analysis, I built a model to predict graduate admissions using Linear, Ridge, Lasso, and ElasticNet regressions. CGPA, GRE, and TOEFL scores emerged as key predictors. ElasticNet effectively handled multicollinearity and balanced L1 and L2 regularization.
linear-models linear-regression matplotlib normalization numpy pandas python seaborn sklearn sklearn-library standardization standardscaler statsmodels
Last synced: 20 Jan 2026
https://github.com/yash-rewalia/airline-passeneger-recommendations-classification
The primary objective is to deploy a robust classifier model that accurately predicts user recommendations, empowering airlines to strategize effectively, understand user behavior, optimize services, and align business strategies with financial objectives.
decsion-tree hypothesis-testing knn machine-learning numpy pandas python random-forest-classifier svm-classifier
Last synced: 07 Apr 2026
https://github.com/labex-labs/quick-start-with-numpy
Quick Start with NumPy | This repo collects 15 of programming labs exercises for Quick Start with NumPy. This course will teach you the fundamentals of NumPy, a library that supports many mathematical operations.
challenges course exercises hands-on labex labs numpy playgroud programming python
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https://github.com/arufonsekun/machine-learning-models
Machine Learning algorithms and related study notes.
Last synced: 19 May 2026
https://github.com/manishbisht/machine-learning
Machine Learning
data-analysis data-mining machine-learning machine-learning-algorithms machinelearning numpy pandas python
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https://github.com/ireneflorez/e_commerce_a_b_test_analysis
website A/B test data analysis
data-analysis jupyter-notebook matplotlib numpy pandas python statsmodels
Last synced: 14 Apr 2026
https://github.com/alejandrolara11/desafio_latam_introduccion_analisis_de_datos
Repositorio del curso "Introducción al Análisis de Datos" de Desafío Latam. Ejercicios prácticos realizados durante el curso, enfocados en análisis de datos con Python, Pandas, y visualización básica.
data-analysis data-science data-visualization matplotlib numpy pandas python seaborn statsmodels
Last synced: 29 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/shibam120302/dog_breed_prediction_app
The Dog Scanner app will identify your dog's breed reliably in just a few seconds! Besides taking a picture, you can also record a video or upload an image from your gallery. Got a mixed breed? No problem, the Dog Scanner app also recognizes mixed breeds!
Last synced: 06 Apr 2026
https://github.com/keyurparalkar/exoplanet-hunting-in-deep-space
The Search for New Earths
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Last synced: 19 May 2026
https://github.com/jaidevd/tutorials
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https://github.com/eljandoubi/smart-beta-and-portfolio-optimization
Implementation of Smart Beta and Portfolio Optimization
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https://github.com/addleonel/unitrevpy
This contains common conversions such as units convert of length, temperature, area, volume, time, and weight.
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https://github.com/coderooz/image_classification_transfer_learning
This project involves using transfer learning to classify images into categories such as cats vs. dogs by leveraging a pre-trained model like VGG16 or ResNet. Transfer learning allows you to adapt a pre-trained model to your specific problem, making the training process faster and often more effective.
colab image-classification matplot neural-network numpy python tensorflow vgg16-model
Last synced: 20 Apr 2026
https://github.com/manuethomas/traffic-accident-analysis-us
The project provides a comprehensive analysis of traffic accidents in the US from 2016-2023 aiming to identify key factors contributing to accidents. The analysis also focussed on finding features that could be used to develop a predictive model
exploratory-data-analysis feature-engineering feature-selection matpllotlib numpy pandas seaborn
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https://github.com/mukhtarmid/data-science
This repository is for the knowledge of data science.
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https://github.com/chaitanyac22/cross_platform_product_mapping_algorithm_for_products
This repository contains a product ID mapping solution using TF-IDF vectorizer for weighted text vectors, Facebook AI Similarity Search (FAISS) for coarse filtering with cosine similarity, and Levenshtein distance for refined matching against the Blinkit catalog. Achieved 11.45% match for Zepto and 11.48% for Instamart.
exploratory-data-analysis faiss levenshtein-distance nlp numpy pandas similarity-search tf-idf-vectorizer
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https://github.com/msikorski93/linear-regression-from-scratch
Different solutions of linear and polynomial regression made from scratch.
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https://github.com/ansh2709/customer-segmentation-ml-project
Project segregates the customers on the basis of their spending score and annual income using K-Means Clustering that is a part of unsupervised learning
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Last synced: 01 May 2026
https://github.com/vibhore-sagar/stock-movement-analysis-based-on-social-media-sentiment
This project aims to develop a machine learning model that predicts stock movements by analyzing sentiment in social media discussions (Reddit posts).
joblib numpy pandas praw python scikit-learn textblob-sentiment-analysis yfinance
Last synced: 09 Apr 2026
https://github.com/kartmaan/fire-simulation
A realistic simulation of fire propagation using thermodynamic and combustion principles, developed in Python with Pygame and NumPy
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Last synced: 19 Aug 2025
https://github.com/abideen-olawuwo/netflix
A recommendation engine
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A spam detection model
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https://github.com/kaka-lin/audio-analysis-tools
Audio tools for audio processing and audio analysis
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Last synced: 22 Jul 2025
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/yashpatel1234586/gesture-volume-control
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https://github.com/abdelrahman-amen/attendance_system
An AI-driven system leveraging real-time face recognition to automate attendance, ensuring accuracy, scalability, and seamless CSV logging of names and timestamps.
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https://github.com/rajiv2004-cloud/the-wine-project
AI/ML mini Project repo
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https://github.com/kristijanh1998/reu-summer-internship
Helium Network Blockchain Data Analysis - Big data mining research project for Cybersecurity Research in a Multidisciplinary Environment internship program (Old Dominion University, Summer 2022)
analytics api big-data blockchain-technology cryptocurrency data-mining data-science helium-blockchain helium-network internet-of-things json matplotlib numpy pickle python requests-library-python
Last synced: 10 Apr 2026
https://github.com/alanmenchaca/numpy-notes
collection of notes to learn numpy!
jupyter-notebooks numpy python
Last synced: 08 May 2026
https://github.com/offthetab/gans
Just testing out different GAN models
gans matplotlib numpy seaborn torch torchvision
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https://github.com/subhrajit77/ml-lab
matplotlib-pyplot numpy pandas python
Last synced: 09 May 2026
https://github.com/sultanazhari/factors-that-affect-vehicle-prices.
Crankshaft List Company want to know what the factors that affect to vehicles prices. As a data Analyst we're giving list of factor that affect with vehicle prices.
matplotlib-pyplot numpy python3 seaborn vehicles
Last synced: 11 May 2026
https://github.com/carlescn/snake_game
An implementation of the classic Snake game using Pygame and NumPy.
numpy pygame python snake-game
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https://github.com/abhay-kanwasi/ml-learning
Discover a repository brimming with machine learning insights and projects. Dive into comprehensive documentation of ML concepts, algorithms, and techniques. Explore hands-on projects spanning sentiment analysis, image classification, recommendation systems, and more.
ml numpy pandas python recommender-system sklearn streamlit-webapp themoviedb-api
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https://github.com/emanuelefavero/machine-learning
This repository contains code for various machine learning concepts and algorithms
algorithms machine-learning numpy pandas python
Last synced: 13 Apr 2026
https://github.com/hotequil/fish_classification
Identify the fish specie with Machine Learning.
classification fish keras numpy python tensorflow
Last synced: 27 Mar 2025
https://github.com/fwcd/minq
Tiny quantum gate library based on NumPy
numpy python quantum-computing
Last synced: 02 Jan 2026
https://github.com/swat1563/recommendation-system
This repository features a recommendation system and analytics engine using datasets on users, organizations, contents, contacts, events, and recommendations. It includes data preprocessing, building a recommendation system, and creating visual reports with Power BI.
analytics data-analysis data-visualization engine kaggle numpy pandas powerbi powerbi-dashboards powerbi-desktop powerbi-reports python recommendation-engine recommendation-system recommender-systems scikit-learn scipy
Last synced: 07 Jan 2026
https://github.com/armandomtz05/optikit
Solution of the paraxial wave equations using different coordinates systems
fourier-transform holography numerical-methods numpy optics-code optics-simulation pillow
Last synced: 02 Feb 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/maheera421/supervised-machine-learning
Implementation of necessary supervised machine learning algorithms for regression and classification.
classification classification-models cost-function feature-engineering feature-scaling gradient-descent linear-function linear-regression logistic-loss logistic-regression machine-learning matplotlib numpy regression-models regularization-to-avoid-overfitting scikit-learn sigmoid-function squared-error-cost-function vectorization
Last synced: 11 Apr 2026
https://github.com/a-poor/qgates
Small helper library for working with quantum matrices
bell-states numpy pypi pypi-package python quantum-computing
Last synced: 04 May 2026
https://github.com/Kikobuf/3d-file-toolkit
Pure-Python toolkit for inspecting, editing, converting, and analyzing 3D print files, supports 3MF, STL, OBJ, PLY, and GLB. Detects source software (Bambu, Orca, Prusa, Cura, Fusion 360, etc.), checks compatibility across 15 CAD and slicer programs, and works with any AI coding agent (Claude, Cursor, ChatGPT, Manus). Zero dependencies beyond numpy
3d-printing 3mf ai-agent bambu chatgpt cluade cluade-code gemini manus numpy obj orca-slicer prusaslicer python stl
Last synced: 20 May 2026
https://github.com/samuelbarbosadev/dataexpert
Elaborar modelos estatísticos, criar algoritmos, solucionar problemas e expandir a estratégia de negócios.
classification clustering crisp-dm data-cleaning data-visualization data-wrangling descriptive-statistics inferential-statistics inferre machine matplotlib numpy pandas pyplot recomendation-algorithm regresion-lineal seaborn skit-learn supervised-machine-learning
Last synced: 17 Apr 2026
https://github.com/danwild/bike-share-prediction
Predict bike sharing time-series with numpy for Deep Learning
artificial-intelligence artificial-neural-networks deep-learning neural-network numpy
Last synced: 16 May 2026
https://github.com/adnaen/water-quality-analysis
End-to-end Ground Water Quality Prediction app using Streamlit.
classification-model machine-learing matplotlib notebook numpy pandas plotly python sklearn streamlit
Last synced: 30 Dec 2025
https://github.com/vinit-source/csl7382-medical-image-clustering-assignment.py
The IPython notebook contains the questions as well as the related code. Only numpy has been used.
bioimage-analysis kmeans-clustering numpy slic spectral-clustering
Last synced: 22 May 2026
https://github.com/badranalyst/udemy-course-data-analysis-with-pandas-and-visualization-libraries
Explores Udemy course data using NumPy and Pandas for data manipulation. Provides insights into course topics, ratings, and pricing with visualizations created using Matplotlib, Seaborn, and Plotly.
data-science dataset eda exploratory-data-analysis matplotlib matplotlib-pyplot numpy pandas plotly python seaborn
Last synced: 16 Apr 2026
https://github.com/Akhil-krishnan-r/super_market_analysis
The growth of supermarkets in most populated cities are increasing and market competitions are also high. This dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this dataset
data-visualization matplotlib numpy pandas seaborn
Last synced: 03 Feb 2026
https://github.com/girishkolhe/bike-sharing-multiple-linear-regression-assignment
Assignment for building a linear regression model for predicting the demand for bike sharing
data-science data-visualization eda linear-regression machine-learning matplotlib numpy pandas-dataframe python rsquare-values seaborn sklearn-library statsmodels vif
Last synced: 02 May 2026
https://github.com/nermeenkamal/image-processing-system
This Python application provides a graphical user interface (GUI) for performing various image processing operations. Users can upload, manipulate, and save images using a range of techniques, including grayscale conversion, binary conversion, histogram equalization, and more.
matplotlib numpy opencv python tkinter
Last synced: 01 May 2026
https://github.com/iv4n-ga6l/geometric-shapesrecognizer-in-image
Geometric shapes recognizer API built in python
api-rest flask numpy opencv python shaperecognitionapi
Last synced: 20 Apr 2026
https://github.com/separatrixxx/tmandcm_labs_3_sem
👓 Laboratory works for 3 semester of MAI on theoretical mechanics
matplotlib numpy python theoretical-mechanics
Last synced: 20 May 2026
https://github.com/NishuMehta/Netflix-Data-Analytics
Netflix Data: Cleaning, Analysis and Visualization
jupyter-notebook matplotlib-pyplot numpy pandas python python3 seaborn vscode
Last synced: 14 Mar 2025
https://github.com/aikogamer101/exploratory-data-analysis
Using Python to analyze a beauty product dataset. A complete EDA.
analytics business-intelligence datacleaning datadiscovery dataengineering dataexploration folium matplotlib numpy pandas python3 seaborn
Last synced: 14 Mar 2025
https://github.com/jigyasag18/fake-news-prediction-project
The Fake News Prediction App Repository offers a machine learning project that focuses on identifying the authenticity of news articles as fake or real. It uses a dataset of 20,000 articles and employs methods such as TF-IDF vectorization and the Porter stemming algorithm, achieving around 97% classification accuracy with logistic regression model.
data datapreprocessing logistic-regression machine-learning machine-learning-algorithms numpy pandas prediction stemming vectorization
Last synced: 08 Jun 2026
https://github.com/pyfig/s21_data-science-bootcamp
School21 Bootcamp Data Science
data data-science numpy pandas python school21
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https://github.com/MuhammedMorad/Egypt-Premier-Fashion-Sales-Analysis
Egypt’s Premier Fashion Sales Analysis is a data-driven project that provides interactive sales insights using Streamlit, Power BI, and Pandas. It analyzes sales trends, customer behaviors, and product performance while offering real-time dashboards and downloadable reports. helping businesses make informed, data-driven decisions. 🚀
matplotlib numpy pandas plotly python seaborn streamlit
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https://github.com/smit-joshi814/mlp
Machine Learning Using Python
classification decision-trees k-means-clustering knn machine-learning machine-learning-models matplotlib numpy pandas regression seaborn svm
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https://github.com/nabilshadman/multiprocessing-time-series-data-simulation
A simulation using multiprocessing to generate 10,000 time dependent samples from an initial dataset of 20 samples
multiprocessing numpy pandas scipy simulation statistics time-series
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https://github.com/celineboutinon/bookworms
OpenClassrooms Data Analyst 2022-2023 - Projet 6
apriori-algorithm data-analysis data-analytics data-visualisation dataframes matplotlib-pyplot mlxtend numpy pandas python scikit-learn scikit-posthocs scikitlearn seaborn statsmodels
Last synced: 05 May 2026
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Udacity Data Analysis Nano Degree course resources
jupyter-notebook matplotlib numpy pandas python
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https://github.com/13anush/python-libraries-
A collection of essential Python libraries—NumPy, Pandas, Matplotlib, and Seaborn—perfect for anyone starting out in data analysis.
data-analysis matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/zafir100100/cancer-stage-prediction
This code predicts cancer data using various regression models, calculates their average R-squared scores, and prints the best model.
cross-validation data-analysis data-preprocessing decision-trees gradient-boosting linear-regression machine-learning-algorithms numpy pandas random-forest regression scikit-learn
Last synced: 05 May 2026
https://github.com/saksham-21/data_analysis-on-hindustan-times-
Performed a proper NLP based analysis from the headlines, date published and the category of the news. Moreover created a interactive Dashboard on Tableau
beautifulsoup matplotlib numpy pandas tableau
Last synced: 05 May 2026
https://github.com/yenk/human-genomic-meta-analysis
Meta analysis of genomic studies to better understand if telomeres in the human genome are impacted by age from wild animals data.
linear-regression machine-learning matplotlib numpy scipy
Last synced: 05 May 2026
https://github.com/patilsukanya/house-price-prediction
Libraries Used
matplotlib numpy pandas scikit-learn seaborn
Last synced: 05 May 2026
https://github.com/jeslipriya/expense-tracker
This is a smart expense tracking web app built with Flask that helps users manage and visualize their spending. It features Pandas and Numpy analysis to suggest ways to cut down on unnecessary expenses, with clean UI, graph visualizations, and secure login.
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Last synced: 05 May 2026
https://github.com/himanshigautam-rgb/python_libraries
This repository contains operations in Matplotlib for data visualization, NumPy for numerical computations, and Pandas for data manipulation and analysis. These libraries work together to efficiently process, analyze, and visualize data.
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Last synced: 05 May 2026
https://github.com/batrick-swaistan/nalaiya_thiran
Nalaiya Thiran IBM Course Training
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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
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Last synced: 05 May 2026
https://github.com/voidwalker7/mnist
MNIST Digit Detector Model using only Numpy
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Last synced: 05 May 2026
https://github.com/rohra-mehak/sciencesync
System for Personalized Google Scholar Alerts Processing and Data Management, and provision of ML based clustering analysis
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Last synced: 05 May 2026
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
Last synced: 05 May 2026
