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: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/gautamthampy/color-detection
Provides colour names and HTML/RGB mappings in various output formats.
Last synced: 10 Apr 2026
https://github.com/pranjalshivhare06/medical-ensurance-charge-predictor
The Insurance Price Predictor is a machine learning project designed to predict insurance costs based on various input features. The project leverages four different algorithms, with XGBoost emerging as the most accurate and efficient model.
fastapi machine-learning numpy pandas xgboost-classifier
Last synced: 19 Apr 2026
https://github.com/anmamun0/data-analysis-home-cleaning-services
This repository contains the analysis and visualization of data from a home cleaning services dataset. The project provides valuable insights into revenue generation, customer trends, and regional performance, helping businesses make data-driven decisions.
Last synced: 05 Mar 2025
https://github.com/vyjayanthipolapragada/image_classifier_model_hotdog
Building an Image classifier model to train and test a dataset and classify the given images into hotdog and not-hotdog.
artificial-intelligence dataset image-classification image-processing machine-learning matplotlib neural-networks numpy pandas python pytorch tensor torchvision transfer-learning
Last synced: 08 Apr 2026
https://github.com/bala-1409/peerloankart-loan-fraud-detection-datascience-project
This project uses machine learning to predict whether a loan applicant will repay their loan. The project uses a dataset of historical loan data from PeerLoanKart, a peer-to-peer lending platform.
correlation data-analysis data-cleaning data-science data-visualization dimensional-analysis eda exploratory-data-analysis feature-engineering gradient-boosting-classifier hyperparameter-tuning juypter-notebook machine-learning machine-learning-algorithms numpy pandas predictive-modeling python3 scikitlearn-machine-learning supervised-learning
Last synced: 08 Apr 2026
https://github.com/muhkartal/e-forecast
machine learning-powered energy consumption prediction system that analyzes historical data to forecast future energy usage trends, optimizing efficiency and sustainability.
fastapi joblib matplotlib numpy pandas pydantic pytest sckit-learn seaborn tensorflow tqdm uvicorn xgboost yaml
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https://github.com/rkschroeder/portfolio
This repository contains a data science project.
matplotlib numpy pandas sckit-learn seaborn
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https://github.com/sanjana-bongale/cancer_survival_data_analysis_and_prediction_using_logistic_regression
This project performs data analysis using Python to predict cancer patient survival outcomes. It involves data cleaning, exploratory analysis, and visualizations to explore factors like cancer type, stage, and treatments. A logistic regression model is built to predict patient survival based on demographic and medical data.
data-analysis data-cleaning data-science data-visualization eda jupyter-notebook kaggle logistic-regression machine-learning matplotlib numpy pandas predictive-modeling python scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/kkKaan/tensor-library-403-hw1
A numpy like library for tensor (gergen) operations.
deep-learning numpy python tensor
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https://github.com/abdullahkhurshid/lung-cancer-prediction
Exploring predictive machine learning for cancer prevention
data-visualisation keras-neural-networks machinelearning matplotlib numpy pandas python scikit-learn seaborn seaborn-python
Last synced: 08 Apr 2026
https://github.com/night-fury-me/deep-learning-fau
A repository that contains implementation of DNN, CNN and RNN from Scracth using numpy only. ResNet implementation using PyTorch
cnn deep-learning dnn machine-learning numpy pytorch rnn
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https://github.com/loaiwalid07/portfolio
Loai Nazeer portfolio
classification clustering computer-vision data-science deep-learning deep-neural-networks machine-learning matplotlib matplotlib-pyplot nlp nlp-machine-learning nltk numpy pandas plotly sklearn streamlit tensorflow-tutorials
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https://github.com/paulbrenker/decision-tsp
Scripts from a university data analysis project to approximate the decision tsp problem using heuristics and machine learning
data-science machine-learning numpy poetry python
Last synced: 26 May 2026
https://github.com/wisskirchenj/matrix-processor
Python app to process matrices using numpy
matrix-calculations numpy python3
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https://github.com/stkisengese/numpy-data-fundamentals
A comprehensive collection of NumPy exercises covering array manipulation, slicing, broadcasting, random data generation, and real-world data analysis applications.
data data-analysis numpy pre-processing
Last synced: 16 May 2026
https://github.com/klaudiozdrava/image-analysis
A Python project that was developed as a university assignment and the goal is to colorize an grayscale image using machine learning techniques.
colorization image-processing kmeans-clustering numpy svm
Last synced: 16 May 2026
https://github.com/cr00z/dlschool_adv
Репозиторий для сдачи домашних заданий на первом семестре продвинутого потока курса "Deep Learning" Школы глубокого обучения ФПМИ МФТИ
matplotlib numpy pandas python pytorch sklearn
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https://github.com/rosacarla/projetodio_covid19
Projeto desenvolve modelos com Python e Machine Learning para prever a evolução do COVID-19 no Brasil
etl machine-learning numpy pandas python
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https://github.com/f-ssemwanga/handwriting_cnn
Handwritting Recongnition CNN
cnn-keras computer-vision machine-learning matplotlib-pyplot numpy python
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https://github.com/shdrn2402/budget-analytics
Analyze a family's two-year spending in Israel to uncover trends, optimize budgets, and compare consumption patterns using Python, Pandas, and visualization tools.
jupyter-notebook matplotlib numpy pandas python seaborn visualization
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https://github.com/kunalkumar2001/data-analytics-python-project
Data Analyst Python Project for Portfolio
data-analysis data-anaytics matplotlib numpy pandas python seaborn
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https://github.com/stephnna/my_image_classifier
A deep learning-based image classifier built with PyTorch, designed to identify various flower species using architectures like VGG16, ResNet101, and AlexNet. This project leverages transfer learning for improved performance, checkpointing for seamless training, and supports both CPU and GPU devices. Perfect for exploring deep learning models and i
matplotlib numpy python pytorch
Last synced: 11 May 2026
https://github.com/secary/compsci7211
Foundations of Computer Science B
algorithms git numpy pandas shell unix
Last synced: 10 Apr 2026
https://github.com/alphacrypto246/grape-quality-prediction
The Grape Quality Prediction project uses machine learning to predict the quality of grapes based on chemical properties like acidity, sugar content, and alcohol levels. It applies regression models to forecast the quality score, helping in wine production and quality assessment.
machine-learning numpy pandas scikit-learn scikitlearn-machine-learning
Last synced: 19 Apr 2026
https://github.com/crispengari/effects-of-covid19-on-trade
This repository visulises the effects of covid19 on trade within these years:
100daysofcode datascience datascience-machinelearning matplotlib matplotlib-pyplot numpy pandas python python3
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https://github.com/sutterseba/des-python
A simple DES implementation in Python
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https://github.com/tomas542/dl_examples
Examples of Machine Learning, Deep Learning, Natural Language Processing and so on
computer-vision cv deep-learning dl keras machine-learning ml natural-language-processing nlp numpy python pytorch scikit-learn
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https://github.com/singhvishal003/stock-price-predict
Stock Price Prediction model using yfinance data .
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https://github.com/shreedata/data-analysis-using-python-libraries-
The COVID-19 pandemic has significantly impacted India, necessitating a detailed analysis of the virus’s spread within the country. In this project, we explore an India-specific COVID-19 dataset, leveraging Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
covid-19 data data-cleaning data-visualization datana kaggle-dataset matplotlib numpy pandas-python python3 pythonlibrarires scikit seaborn
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jupyter-notebook kaggle kaggle-datasets numpy pandas python3
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https://github.com/hansalemaos/a_pandas_ex_df_to_string
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https://github.com/beolawork-art/novabank-churn-analysis
NovaBank has noticed that customers are closing accounts or going inactive, and they want to understand why.
data-analysis data-science-projects data-visualization eda machine-learning numpy pandas python scikit-learn sql
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https://github.com/rahul-404/full_stack_data_science_masters
Welcome to the repository for the course "Full Stack Data Science Masters". This repository is designed to accompany the course and provide resources, exercises, and projects related to the study of data science techniques.
computer-vision data-science database deep-learning exploratory-data-analysis flask machine-learning natural-language-processing numpy pandas python statistics time-series visualization
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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
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A deep learning-based framework integrating explainable multimodal AI for accurate prediction and transparent diagnosis of breast cancer and pneumonia.
deep-learning explainable-ai grad-cam groq-api llm machine-learning matplotlib multimodal numpy pandas python pytorch scikit-learn seaborn streamlit
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parallel_radixsort from C++ for Python (Windows)
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https://github.com/shreyavats23/sign_language_recognition
Sign Language Recognition using Deep Learning : ~ Built a model to recognize American Sign Language (ASL) for letters A–Z and digits 1–9 ~ Achieved ~89% validation accuracy using a Convolutional Neural Network (CNN) ~ Used data augmentation techniques to improve generalization ~ Visualized predictions to test the model on real samples
artificial-intelligence keras machine-learning matplotlib numpy python pytorch seaborn sklearn tensorflow
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https://github.com/abideen-olawuwo/converted-logistic-regression
Converted Prediction Model
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https://github.com/alejoduarte23/reading_data_from_dewesoft
The following repository retrieves sensor data (acceleration and strains) from both local and cloud databases. It processes the data using classes from another repository called Modal Engine for spectral analysis, modal analysis, and signal processing.
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https://github.com/ashithapallath/comparison-of-ssd-sad-in-motion-estimation-of-video-coding
Course assignment for Algorithm and Massive Datasets comparing SAD and SSD for motion estimation. Includes analysis of accuracy, speed (Python/NumPy), and error sensitivity. Highlights trade-offs for speed-critical vs. precision-focused applications.
l1-normalization l2-norm numpy pytho video-cod
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https://github.com/unikraft/lib-python-numpy
The fundamental package for scientific computing with Python.
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https://github.com/hariprasath-v/machinehack_analytics_olympiad_2023
Create a machine learning model to determine the likelihood of a customer defaulting on a loan based on credit history, payment behavior, and account details.
binaryclassification catboost exploratory-data-analysis machine-learning numpy pandas python scikit-learn shap
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https://github.com/barraharrison/seoul-bike-sharing
Performing EDA on a kaggle dataset to look at the distribution of Seoul's bike-sharing system
jupyterlab matplotlib numpy pandas python scikit-learn seaborn
Last synced: 23 Jul 2025
https://github.com/alphacrypto246/insurance-charges-prediction
The Predicting Insurance Charges project uses Decision Tree Regression to predict insurance charges based on features like age, sex, BMI, and smoking habits. It involves data preprocessing, feature scaling, and model evaluation with metrics like MAE and R².
machine-learning numpy pandas scikit-learn scikitlearn-machine-learning
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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
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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!
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https://github.com/jaidevd/tutorials
data-science deep-learning hpc machine-learning numpy pandas sklearn training tutorial
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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
Last synced: 20 Mar 2025
https://github.com/ashkarin/rawimage
Read and write RAW images (or data arrays) without a headache.
image-processing imagej ndarray numpy raw-data raw-image readers writers
Last synced: 28 Apr 2026
https://github.com/mukhtarmid/data-science
This repository is for the knowledge of data science.
Last synced: 10 May 2026
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
Last synced: 20 Mar 2025
https://github.com/dmarks84/ind_project_superstore-sales-time-series-analysis--kaggle
Independent Project - Kaggle Dataset-- I worked on the Superstore Sales Dataset, performing (as Part 1) data cleaning and preparation and exploratory data analysis. The main task was to make predictions for future sales based on time-series analysis, which is found in Part 2.
chloropleth data-modeling data-visualization eda linear-regression matplotlib numpy pandas python seaborn sklearn statistics statsmodels supervised-ml time-series-analysis
Last synced: 09 Apr 2026
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
clustering-algorithm k-means-clustering machine-learning matplotlib-pyplot numpy pandas python unsupervised-machine-learning wcss
Last synced: 01 May 2026
https://github.com/yashpatel1234586/gesture-volume-control
cv2 math mediapipe numpy python subprocess
Last synced: 10 Apr 2026
https://github.com/bassemhalim/webrtc-demo
webrtc demo using aiortc library
Last synced: 09 Apr 2026
https://github.com/eljandoubi/disasterresponsepipeline
Project aim is to build a Natural Language Processing (NLP) model to categorize messages on a real time basis.
flask nltk numpy pandas plotly scikit-learn scipy sqlalchemy
Last synced: 09 Apr 2026
https://github.com/armahdavi/analytics_statistics_ML_plotting_dust_extraction_hvac_filters_ph2
PhD Technical Paper 1 - Phase 2 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available
data-pipelines data-science data-visualization machine-learning matplotlib-pyplot numpy pandas-dataframe python scipy-stats sklearn statistics
Last synced: 17 Sep 2025
https://github.com/armahdavi/data_pipeline_analytics_statistics_ML_PM_PSD_residential_QFF
Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782
data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics
Last synced: 17 Sep 2025
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.
cmake cv2 dlib face-recognition numpy python
Last synced: 20 May 2026
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/priyankapriyadarshini50/autos_data_analysis
Data Analysis of auto dataset
matplotlib numpy pandas psycopg2 scikit-learn scipy seaborn
Last synced: 09 Apr 2026
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
Last synced: 02 Apr 2026
https://github.com/abolfazl-younesi/levy-walk
This repository contains a Python implementation of the Lévy Walk simulation, a random walk model with a power-law step length distribution. The code simulates multiple walkers with boundary conditions and visualizes their trajectories for different values of the power-law exponent.
levy-walks matplotlib numpy python random-walk
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https://github.com/harmanveer-2546/campus-placement-prediction
Student Campus-Placement Prediction ML Project using Python
decision-trees machine-learning matplotlib numpy python random-forest scipy seaborn
Last synced: 08 Mar 2026
https://github.com/roluochke/real-estate-price-prediction-app
This is a data science project for a real estate price prediction website.
flask html-css-javascript jupyter-notebook matplotlib numpy python sklearn
Last synced: 09 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/dsowles/miniproject1davidsowles2025
INF601 Mini Project 1
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https://github.com/riyajain255/customer-segmentation-for-e-commerce
This project analyzes online retail data to segment customers using K-Means clustering and build classification models to predict those segments based on purchasing behavior.
customer-segmentation data-analysis kmeans-clustering logistic-regression machine-learning matplotlib numpy pandas python random-forest scikit-learn seaborn-plots
Last synced: 02 Apr 2026
https://github.com/zakintaliban/indonesia-train-passenger-forecasting
A project to analyze and forecast train passenger numbers in Indonesia using Python, Pandas, and Scikit-learn.
bps data-analysis data-science dataanalysis datascience forecasting indonesia kereta-api machine-learning machinelearning numpy pandas python scikit-learn scikitlearn seaborn time-series
Last synced: 29 Apr 2026
https://github.com/kushalagarwalla/netflix-movie-data-analysis
🚀 Netflix Data Analytics Project 🎬📊 | Analyzed 9K+ movies to uncover insights on genres, popularity, votes & release trends. Includes EDA, KPIs & visualizations using Python (Pandas, NumPy, Matplotlib, Seaborn). Supports data-driven content & engagement strategy.
data-analysis data-visualization jupyter-notebook numpy pandas python seaborn
Last synced: 06 May 2026
https://github.com/kandil2001/lid-cavity-evolution
Lid Cavity Evolution is an open-source CFD suite for the lid-driven cavity problem, featuring MATLAB, Python, and parallel solvers with benchmark comparisons.
benchmarking cfd cfd-simulation lid-driven-cavity matlab mpi numpy open-source openfoam openmp parallel-computing python scientific-computing simple-algorithm star-ccm
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https://github.com/4ngelojr/ai-ml-cheatsheets
🗂️ Access essential AI and ML concepts with quick-reference cheatsheets for effective learning and project implementation.
bigdata cheatsheet computer-science convolutional-neural-networks data-science deep-learning dl excel hadoop keras linux neural-networks numpy pig plotly probability sql statistics
Last synced: 01 May 2026
https://github.com/labex-labs/numpy-for-beginners
This comprehensive course covers the fundamental concepts and practical techniques of NumPy, the essential library for numerical computing in Python. Learn to create, manipulate, and analyze arrays efficiently.
array-manipulation array-slicing beginner-friendly course data-analysis data-science data-structures fast-computation hands-on labex labs linear-algebra matrix-operations numerical-computing numpy programming python python-programming scientific-computing vectorized-operations
Last synced: 20 Jun 2026
https://github.com/jaketherealone/machinelearningtoolset
Collection of primary tools used in the field of machine learning - Written for numpy projects
machine-learning numpy python toolset
Last synced: 19 Jun 2026
https://github.com/rohanbanerjee1234567-cell/prediction-of-expected-salary-using-machine-learning
Here is my first Project Repository where I have made a Machine Learning Project using Python. The Problem statement was to train a model based on the given Dataset and from there we need to Predict the Expected Salary of an Employee who will have similar profiles.
exploratory-data-analysis linearregression matplotlib-pyplot numpy pandas randomforest randomforestregressor scikit-learn scikitlearn-machine-learning searborn visualization
Last synced: 27 Apr 2026
https://github.com/radithsandeepa/robot-path-visualizer
Welcome to Robot Path Visualizer! This tiny project uses Python, Pygame, and NumPy to replay a precomputed trajectory (x, y, θ). It rotates a robot sprite frame-by-frame and draws a trail, making it handy for diff-drive path playback, simulation demos, and quick visual debugging of robotics experiments.
animation numpy pygame python robot-simulation robotics trajectory-visualization
Last synced: 18 Sep 2025
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
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Last synced: 02 Feb 2026
https://github.com/danwild/bike-share-prediction
Predict bike sharing time-series with numpy for Deep Learning
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Last synced: 16 May 2026
https://github.com/anushkapal28/maatri-care
MaatriCare is an AI-based healthcare application designed to provide personalized nutrition advice and maternal care recommendations for pregnant women, lactating mothers, and women in general.
gemini-api jupyter-notebook labelencoder numpy pandas python3 random-forest streamlit svm-training
Last synced: 18 Sep 2025
https://github.com/akash-207/ecommerce-monetization-analysis
“Revenue and monetization analysis of Brazilian e-commerce data (Olist dataset). Includes KPIs, trends, and business insights.”
business-analytics matplotlib mysql numpy pandas python seaborn
Last synced: 09 Apr 2026
https://github.com/jpcadena/cancer-classification
Breast cancer classification project.
cancer-detection classification data-analysis data-science deep-learning imblearn machine-learning neuronal-network numpy pandas pylint python scikit-learn supervised-learning tensorflow
Last synced: 09 Apr 2026
https://github.com/rarawe/taskly
A public repository for taskly
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https://github.com/noxs1d/cv-emotion-classification
This project is a deep learning-based system for detecting human emotions from facial images using TensorFlow, OpenCV, and NumPy.
cnn cnn-classification dockerfile keras numpy opencv tensorflow transfer-learning
Last synced: 09 Apr 2026
https://github.com/fedesgh/parkinson_volatility_spread_on_cedears
Creating a function that returns a graph with the difference between Parkinson's volatility and regular volatility given a certain bounds
Last synced: 10 Apr 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/gitw1n/japandemographicsinsights
JapanDemographicsInsights is an ongoing project aimed at providing comprehensive insights into the demographic trends of Japan. The project is focused on analyzing and visualizing population data, age distribution, migration patterns, birth and death rates, and other related demographic factors that shape the current and future landscape of Japan.
indevelopment jypyternotebook numpy python3 scientific-visualization
Last synced: 11 May 2026
https://github.com/pranaypkadu/networksecurity
End To End MLOPS Project With ETL Pipelines- Building Network Security System
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Last synced: 19 Mar 2025
https://github.com/rosa-lpz/machine-learning-zoomcamp-2025
Machine Learning Zoomcamp 2025 from DataTalksClub. Based on repository: https://github.com/DataTalksClub/machine-learning-zoomcamp/tree/master
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Last synced: 06 Apr 2026
https://github.com/jain1shh/solar-flare-prediction
This repository contains code and data for predicting solar flare energy ranges using machine learning, based on NASA's RHESSI mission data. It includes preprocessing of FITS files into a unified CSV dataset and implements models like Gradient Boosting, Random Forest, and Decision Tree classifiers, achieving accuracies up to 87%.
data-visualization machine-learning numpy pandas python scikit-learn solar-flare-prediction
Last synced: 09 Apr 2026
https://github.com/mayankmittal29/tensortinker_statistical_methods_in_ai
This repository contains implementations of various machine learning algorithms from scratch, including Multi-Layer Perceptron (MLP), Gaussian Mixture Models (GMM), Principal Component Analysis (PCA), Autoencoders, and Variational Autoencoders.
autoencoder-mnist cupy gmm-clustering image-segmentation matplotlib-pyplot mlp-classifier mlp-regressor mnist-dataset numpy pandas pca python3 pytorch roc-auc seaborn torch variational-autoencoder
Last synced: 09 Apr 2026