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/ayuub34/siesta-smart
This project is designed to be a AIaaS 2-Way-PMS optimized with AI and ML models. The goal is to enhance the efficiency of the system through advanced technology solutions.
ai data-analysis-python data-processing data-science jupyter-python machine-learning matplotlib numpy pandas powerbi-report pyqt5 scipy seaborn sklearn
Last synced: 25 Feb 2026
https://github.com/keyurparalkar/breast-cancer-detection
Predict whether the cancer is benign or malignant
gradient-descent logistic-regression machine-learning numpy
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https://github.com/shishirshekhar/penguin_app
This is a penguin species prediction web app
data-science logistic-regression ml numpy pandas python python3 random-forest-classifier streamlit streamlit-application streamlit-webapp support-vector-machine
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https://github.com/breadrock1/ml-labs
Machine Learning. There is a suite of Machine Learning laboratory tasks.
classification knn knn-classification machine-learning nlp nlp-machine-learning numpy pandas pandas-dataframe python python3 random-forest regression scikit-learn-python skele trees
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https://github.com/l-gre/data_analytics_for_finance
Comprehensive course materials for the Data Analytics for Finance - Master Programme, covering data manipulation, statistical analysis, visualisation, automation, and real-world case studies using industry-standard tools.
automation data-cleaning data-manipulation data-visualization excel hypothesis-testing industry-applications matplotlib numpy pandas python real-world-case-studies regression-analysis seaborn sql statistical-analysis tableau workflow-automation
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A demo of creating a 3d line parametric curve graph.
3d curve graph line matplotlib numpy pandas parametric python web
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https://github.com/farha-dahman/investigate_dataset
Investigate [No-show appointments] Dataset
data-analyst jupyter-notebook matplotlib numpy pandas python
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https://github.com/singhvishal003/sales-data-analysis
Data Analysis according to sale data.
matplotlib numpy pandas seborn
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https://github.com/chandkund/sentiment-analysis-on-movie-reviews
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data-science eda jupyter-notebook machine-learning matplotlib numpy pandas preprocessing python sklearn
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accuracy-score classification confusion-matrix f1-score logistic-regression machine-learning model-evaluation modelbuilding nlp nltk numpy pandas precision-score recall-score scikit-learn sentiment-analysis
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https://github.com/rissh/titanicsurvivalpredictionusingml
Predicting Titanic passenger survival through machine learning. This project includes data preprocessing, exploratory data analysis, feature engineering, and model training using Python. 🚢
data data-analysis data-science data-visualization dataanalysis jupiter-notebook machine-learning machine-learning-algorithms machinelearning matplotlib numpy pandas prediction prediction-model python python3 seaborn tenserflow tflearn titanic
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https://github.com/vladimiracunadev-create/python-data-science-program
Python Data Science Program — 197 clases en 9 partes. Pauta avanzada derivada de Géron, VanderPlas, Huyen, ISLP y Barocas/Hardt/Narayanan. Recurso personal de aprendizaje, enseñanza y mejora continua.
bootcamp data-analysis data-science education jupyter machine-learning matplotlib numpy pandas python scikit-learn
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data-simulation multiprocessing numpy pandas payments python qmarkdown random-number-generation telecommunications unittests
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https://github.com/sharkb8t/credit-risk-classification
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jupyter-notebook numpy pandas pathlib python scikit-learn
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https://github.com/subratamondal1/quora-automated-text-classification
Text Classification with Bag of Words - Natural Language Processing
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OpenClassrooms parcours Data Analyst Projet 6
matplotlib-pyplot numpy pandas plotly-express plotly-graph-objects seaborn
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https://github.com/coueghlani/nlp
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mineria-de-datos nlp nlp-machine-learning nltk numpy procesadores-de-lenguajes sklearn spacy
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https://github.com/smahala02/materials-science-introduction
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data-visualization materials-science matplotlib numpy python scientific-computing
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https://github.com/murugavl/forage_tata_genai_powered_data_analytics
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excel genai matplotlib numpy pandas powerbi python
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https://github.com/mariam-zaidi/bike-sharing-prediction-model
Build a multiple linear regression model for the prediction of demand for shared bikes.
linear-regression matplotlib numpy pandas rfe seaborn sklearn
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https://github.com/foggysmile/ml_labs_itmo
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bert decision-trees jupyter-notebook machine-learning numpy pandas random-forest xgboost
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https://github.com/adriantomin/heart-disease-prediction
Predicting Heart Disease with ML 🏥🤖 Machine learning model to predict heart disease using clinical data. Includes data analysis, feature engineering, and model training.
machine-learning matplotlib numpy pandas python sklearn
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https://github.com/ywatanabe1989/scitex-io
Universal scientific data I/O with plugin registry — save/load 30+ formats with one API. Part of SciTeX.
cli csv data-io hdf5 mcp numpy openscience pandas plugin-registry python research scientific-computing scitex
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https://github.com/mouradhamzaoui/tweets_sentiments_emotions_analysis
Les réseaux sociaux, et en particulier Twitter, sont des plateformes essentielles où les utilisateurs expriment leurs sentiments et émotions au quotidien. Analyser les tweets peut fournir des informations précieuses sur l’humeur collective et les préoccupations des gens. Ce projet utilise un dataset de tweets disponible sur Kaggle
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https://github.com/rahulsm20/storedata
A data analysis project aimed at analyzing the sales data of the super store and providing useful insight into customer preferences.
data-analysis matplotlib numpy pandas python streamlit
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https://github.com/dpgitaccount/project---hospital-readmission-analysis
The goal of this project is to build a predictive model to estimate the likelihood of a hospital readmission based on patient data. By identifying factors that contribute to readmissions, hospitals can optimize care and reduce costs associated with repeated visits.
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https://github.com/maia-bastos/estimativas
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https://github.com/islamshahil/neuralnetworks
Hello World to Neural Network.
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https://github.com/andreashovaldt/simple-neural-network
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https://github.com/limix/ndarray-listener
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https://github.com/saurabh274/netflix-eda
Analyze the data and generate insights that could help Netflix in deciding which type of shows/movies to produce and how they can grow the business in different countries.
matplotlib numpy pandas python seaborn
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https://github.com/awaisfraaz/python-libraries
Here’s a repository description for a project where youA repository dedicated to exploring and experimenting with Python’s main libraries, featuring sample code, documentation, and practical examples for learning and reference.
matplotlib numpy pandas python seaborn
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https://github.com/ben854719/trade-transfer-workflow-optimizer
This AI portfolio tools securely analyzes asset allocation, sector exposure, and performance. Its graph compares real and predicted close prices, enhanced with sentiment indicators such as “Confident” and “Surprised.” An avatar assistant provides user guidance combining technical accuracy with intuitive explanations.
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This repository features a machine learning model for predicting used car prices using data from CarDekho.com. The project leverages exploratory data analysis and regression techniques to empower sellers and buyers with actionable insights in the Indian used car market.
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https://github.com/anujdutt9/reinforcement_learning
Reinforcement Learning using Numpy and PyTorch.
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https://github.com/williyam-m/movie_booking_app
A Django-based movie booking app featuring an admin dashboard with CRUD functionality for movies, theatres, screens, shows, and bookings. Includes an ML-powered movie recommendation system.
django machine-learning numpy orm pandas python sckiit-learn sqlite3
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https://github.com/eljandoubi/predict-customer-churn-with-clean-code
Clean Code Principles
autopep8 logging numpy pandas pylint pytest scikit-learn
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https://github.com/reshmaaiman/liver-patient-prediction
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decision-trees ipython matplotlib numpy pandas plotly python random-forest seaborn sklearn smote
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https://github.com/khaymanii/calories-burnt-prediction-model
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https://github.com/nitor-infotech-oss/aiml-data-processing
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aiml numpy pandas scikit-learn
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https://github.com/shiqilu77/machinlearning-lol_gaming
a supervised model that predicts the match winning rate in LOL game based on the lineups of both sides. Implemented data processing by multiple python API including sklearn, NumPy, pandas, and by feature encoding, kNN, Synthetic Minority Oversampling Technique, etc
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docker dotenv dvc flask machine-learning mlflow mlops mysql mysql-connector-python numpy pandas pymysql python python-dotenv scikit-learn seaborn sklearn-library statistics streamlit
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matplotlib numpy pandas python seaborn
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https://github.com/dr-rompecabezas/page-view-time-series-visualizer
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matplotlib numpy pandas python seaborn
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https://github.com/hansalemaos/npchessimage
Creates a chessboard pattern as an image.
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aadhar-data csv data-science json numpy olympics-data pandas python35
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https://github.com/fyt3rp4til/anomaly-detection
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Lane detection and tracking are the advanced key features of the advanced driver assistance system. Lane detection is the process of detecting white lines on the roads. In this we I have used prebuild models for the development of the code
ipython-notebook numpy python thresholding
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https://github.com/radinshahdaei/ce40215-nc
Theoretical and practical assignments for "Numerical Computation".
jupyter-notebook numpy python sympy
Last synced: 17 Apr 2026
https://github.com/esraamhmd/intelligent-skin-cancer-image-based-detection-models
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ai deep-learning ham10000 isic kaggle machine-learning matplotlib numpy pandas python3 pytorch seaborn skin-cancer skin-detection sklearn time torchvision tqdm
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https://github.com/broodhoney/blue-book-for-bulldozers
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matplotlib numpy pandas python scikit-learn
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https://github.com/lmizner/ece_c247_neuralnetworks
Course work from UCLA's ECE C247 - Neural Networks
backpropogation cnn convolutional-neural-networks convolutional-recurrent-neural-network crnn gated-recurrent-units keras long-short-term-memory lstm machine-learning matplotlib numpy pandas python recurrent-neural-networks regularization rnn sklearn tensorflow
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https://github.com/davityak03/basics-of-python-
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array dictionary lists matrix numpy pandas programming python sets
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https://github.com/loong64/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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https://github.com/prajapatsur/data-analytics-1
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matplotlib numpy pandas sklearn
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https://github.com/prashver/end-to-end-model-deployment-on-aws
Student Performance Analysis with Machine Learning analyzes factors impacting student outcomes using a robust machine learning pipeline. Achieving an impressive R2 score, it predicts student performance effectively. With extensive data preprocessing and deployment on AWS Elastic Beanstalk, it ensures scalability and high availability.
amazon-web-services aws-elastic-beanstalk end-to-end-deployment flask machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn
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https://github.com/raduldev/ibm_capstone_final_project
IBM Data Science Professional Certifcate Capstone Project
api arcgis-api folium-maps foursquare-api ibm-watson jupyter-notebook matplotlib numpy pandas python3 sklearn
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https://github.com/cosmicsid004/air_draw
Digital drawing....
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https://github.com/tharushi11/titanic-data-analysis
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dax machine-learning numpy pandas powerbi sklearn titanic-survival-prediction visualization
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https://github.com/christiemj/clock-drift-simulation
A Monte Carlo simulation in Python to model vacuum-induced frequency drifts in atomic clocks, with code and visuals (experimental setup, simulated vs. real-world comparison, and drift graph), as described in "Probing Vacuum-Induced Clock Drifts via Quantum Metrology: A Testable Hypothesis" (DOI: 10.5281/zenodo.15163879). Licensed under GPL 3.0.
allan-variance atomic-clocks cesium-ion clock-drift matplotlib monte-carlo-simulation numpy open-science pandas physics precision-metrology python quantum-metrology research-software scipy simulation vacuum-fluctuations vacuum-noise
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https://github.com/nikhilsree5/aerofitcasestudy
Customer Profiling and Market Segmentation for AeroFit Treadmills: A Data-Driven Approach
customerprofile eda numpy pandas python visualization
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https://github.com/theakashshukla/diabetes-prediction
Diabetes Prediction using futuristic tool
ai jupiter-notebook ml numpy pandas sklearn
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https://github.com/vishal-verma-96/oil_spill_prediction_using_ml
This ML project predicts oil spills using various machine learning algorithms like XGBoost and Random Forest. This project also contains saving and load of the model to make predictions on a sample dataset.
data-science machine-learning-algorithms machine-learning-classification matplotlib model-building-and-evaluation numpy pandas pickle python-3 scikitlearn-machine-learning xgboost
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https://github.com/antonio-f/regularization-methods
Shrinkage methods: Ridge Regression and Lasso
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https://github.com/kaushik-puttaswamy/exploratory-data-analysis-using-python
This project applies Exploratory Data Analysis (EDA) using visualizations like box plots, scatter plots, and correlation matrices. It helps identify patterns, select ideal functions via least squares error, and map test data while evaluating deviations.
bokeh expolatory-data-analysis matplotlib numpy pandas python seaborn sqlalchemy
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https://github.com/shhiivvaam/regression
Linear Regression Model
linear-regression numpy python
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https://github.com/noluyorabi/bravais-pearson-interactive
Bravais-Pearson Interactive – A web app for visualizing Pearson correlation. Generate datasets, analyze correlations, and explore regression lines, r², and p-values interactively.
data-visualization interactive-analysis matplotlib numpy pearson-correlation scipy seaborn statistics streamlit
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https://github.com/abhijeet107/superstore-sales-data
Many more to come stay tune
matplotlib numpy pandas python3 seaborn-python
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https://github.com/jinhx128/data_analysis
基于Matplotlib+Numpy+Pandas搭建的数据分析项目。
matpolotlib numpy pandas python
Last synced: 18 Apr 2026
https://github.com/devllm/exemple-de-quantization
Démo de quantization de modèle
ai artificial-intelligence deep-learning ia intelligence-artificielle keras machine-learning matplotlib ml numpy python python3 quantization tensorflow tensorflow-lite
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https://github.com/nicovandenhooff/kaggle-competitions
A repository that contains my Kaggle projects.
data-analysis data-visualization deep-learning exploratory-data-analysis kaggle machine-learning matplotlib modeling neural-network numpy pandas seaborn sklearn
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https://github.com/thoughtscript/python_api_2023
Some fun with Flask, Python, and Machine Learning
angular docker docker-compose flask machine-learning mysql numpy
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https://github.com/vansh-py04/data-analysis-questions-pandas-numpy-sql
Solution to 450+ Data Science Tech Stack questions essential for Data Analysts and Scientists!
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https://github.com/alainlebret/python-et-ia-1
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artificial-intelligence image-processing machine-learning matplotlib numpy python scikit-image scikit-learn
Last synced: 04 Apr 2026
https://github.com/sundanc/weatherprediction
This project implements a weather prediction system that predicts the temperature based on real-time weather data, including features like humidity, wind speed, and day-related features (day of the week, month
machine-learning machinelearning numpy pandas programming python scikit-learn scikitlearn-machine-learning weather-prediction
Last synced: 18 Apr 2026
https://github.com/ksasi/dog-breed-classifier
Dog Breed Classifier
cnn cnn-classification computer-vision deep-learning deep-neural-networks keras keras-neural-networks machine-learning numpy pandas python scikit-learn
Last synced: 05 Apr 2026
https://github.com/abideen-olawuwo/converted-docker
Deploy converted model into docker
docker dockerfile flask matplotlib numpy pandas-library pickle pipfile requests sklearn
Last synced: 05 Apr 2026
https://github.com/stffns/snapvec
Fast compressed ANN search via randomized Hadamard transform + Lloyd-Max quantization. Pure NumPy.
ann embeddings hadamard numpy quantization rag vector-search
Last synced: 07 Apr 2026
https://github.com/nksmanya/virtual_canvas
A hand gesture-based drawing app that lets you create art in the air using hand movements
mediapipe numpy opencv opencv-python python
Last synced: 18 Apr 2026
https://github.com/ashithapallath/feature-engineering
This repository contains a range of examples and techniques for feature engineering, aimed at improving dataset quality and boosting model performance. It covers essential methods such as Exploratory Data Analysis (EDA) and Interquartile Range (IQR) analysis for detecting and handling outliers.
exploratory-data-analysis feature-engineering iqr-method matplotlib numpy outlier-detection pandas python seaborn
Last synced: 18 Apr 2026
https://github.com/merekat/ml-shortcut-library
A Visual Studio Code shortcut library designed to simplify and accelerate machine learning development.
cnn coding data-science deep-learning efficiency extension extensions fnn machine-learning machinelearning nlp numpy pandas python scikit-learn shortcut shortcuts tensorflow visual-studio visual-studio-code
Last synced: 05 Apr 2026
https://github.com/perpendicooler/elementary-research-for-steamboat-willie-s-store-in-poland
An elementary research for a company to opening store in a city using gurobi and pulp optimization.
christofides-algorithm gurobipy numpy pandas pulp python3 scikit-learn travelling-salesman-problem
Last synced: 05 Apr 2026
https://github.com/lorenzorottigni/ml-movies
Machine Learning python bootcamp: Recommender Systems on movies dataset
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Last synced: 05 Apr 2026
https://github.com/al-ghaly/prosper-loans-analysis
A statistical Analysis Project, to analyze the data of a finance company’s loans Using Python packages (pandas – NumPy – seaborn – matplotlib)
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Last synced: 18 Apr 2026
https://github.com/ahmaruff/kmeans-img-compress
Simple python image compression library using K-Means clustering
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https://github.com/noopur-phadkar/botnavigator
BotNavigator utilizes the A* (A-Star) algorithm for pathfinding, leveraging Python along with libraries such as Matplotlib and Numpy for efficient array operations and visualization. This innovative solution optimizes robotic navigation within warehouse environments, enhancing operational efficiency and scalability.
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https://github.com/zombietdv/rfl-13_8
Implementaion for Genetic algorithm and Q-Learning.
genetic-algorithm grid-world machine-learning numpy pygame q-learning
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https://github.com/pedro-stanaka/dlnd-projects
Projects from Deep Learning Nanodegree from Udacity
artificial-neural-networks deep-learning machine-learning numpy python3
Last synced: 18 Apr 2026
https://github.com/mayankmittal29/criticalphenomena-exploring_phase_transitions_and_self-organized_criticality
A computational physics project exploring critical phenomena through percolation theory and the Bak-Tang-Wiesenfeld sandpile model.
criticality-c gif-animation jupyter-notebook matplotlib numpy percolation-theory python3 sandpile-model
Last synced: 18 Apr 2026