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/shreeparab1890/chat-analyzer
This project is a Data Analysis project to analyze the WhatsApp chats.
data-analysis numpy pandas python
Last synced: 12 Apr 2026
https://github.com/crvargasm/moore-penrose-matrix
A small implementation of an algorithm that is capable of computing the Moore-Penrose inverse of any matrix.
numerical-methods numpy python
Last synced: 10 Apr 2026
https://github.com/hussain-7/emotion_detection-master
Human Emotion Analysis using facial expressions in real-time from webcam feed. Based on the dataset from Kaggle's Facial Emotion Recognition Challenge.
keras-tensorflow matplotlib numpy opencv-python tensorflow
Last synced: 08 May 2026
https://github.com/shakebshamsi/youtube-scraping-using-api
Youtube Scraping
jupyter-notebook numpy pandas python seaborn
Last synced: 10 Apr 2026
https://github.com/solaris0051/simplenn
simple neural network. The comments accompanied with codes are written in English.
anaconda3 colab-notebook conda conda-env conda-packages jupyterlab latex machine-learning markdown matplotlib neural-network numpy object-oriented online-learning python3
Last synced: 12 Apr 2026
https://github.com/iamwatchdogs/retail-insights-from-superstore-data
An simple Data Analysis Project for finding insight within the Super store data set
conda-environment data-analytics jupyter-notebook matplotlib numpy pandas python
Last synced: 05 May 2026
https://github.com/RedInfinityPro/AI_projects
Rating (7/10) The code is a chatbot that interacts with users based on article content. However, issues include incorrect sorting, typos, incorrect indentation, and lack of explanations for each part, potentially affecting the bot's robustness and understanding of context.
newspaper nltk numpy python random sklearn string warnings
Last synced: 30 Sep 2025
https://github.com/abideen-olawuwo/converted-web-app
Deploying model with Flask
flask jsonify matplotlib numpy pandas pickle python requests
Last synced: 12 Apr 2026
https://github.com/hediyeorhan/styletransfer
artificial-intelligence deep-learning numpy python tensorflow
Last synced: 12 Apr 2026
https://github.com/tsungtsetu122/datamining-cifar10-classification
Data mining project on CIFAR-10 extracted features, applying preprocessing, classification models, and evaluation techniques to improve classification performance.
matplotlib numpy pandas python scikit-learn
Last synced: 10 Apr 2026
https://github.com/navindafernando/feature-extraction
Heart Risk Level Predicting Regression Model & Web using Feature Engineering and Data Preprocessing :baby_chick:
categorical-encoding feature-engineering flask handling-outlier html5 joblib label-encoding machine-learning numpy pandas polynomial-features quantile-transformer scaling
Last synced: 10 Apr 2026
https://github.com/ailsonguedes/iris-flower-ml-project
Machine learning model using logistic regression to classify the Iris-Flower of dataset.
classification data-science dataset ia iris-classification iris-dataset jupyter-notebook logistic-regression machine-learning numpy pandas python sklearn
Last synced: 12 Apr 2026
https://github.com/asghar-rizvi/youtube-statistics-project
This project analyzes a dataset of global YouTube statistics to uncover insights about YouTube channels, their ranks, and other attributes. The dataset used for this analysis was obtained from Kaggle.
data-analysis data-analysis-python data-science data-science-projects matplotlib numpy pandas pycharm-ide python seaborn
Last synced: 13 Jun 2026
https://github.com/sahu-sakshi/covid-19
A comprehensive data analysis project for COVID-19 pandemic data, featuring automated data collection, feature engineering, visualization tools, and exploratory analysis notebooks.
Last synced: 05 May 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/c-mohammed-zaid/python
A diverse collection of Python projects showcasing skills in game development, data manipulation, and utility tools, including classic games, encryption, and data analysis.
jupyter-notebook matplotlib numpy pandas python scipy turtle
Last synced: 06 Jan 2026
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.
dewesoft matplotlib modal-analysis numpy orm scipy signal-processing sql sqlalchemy
Last synced: 07 Jan 2026
https://github.com/kareem74x/data-mining-uni-project
A project focused on applying data mining techniques to extract insights from datasets
data-mining matplotlib numpy pandas python
Last synced: 25 Feb 2026
https://github.com/ahmedabdalkreem/speech-recognition
In this project we deal with audio dataset to make classification between ten audio and make preprocssing in it using Librosa and Scipy then be input of Neural Network Model.
librosa matplotlib neural-network numpy pandas python3 scipy sklearn tensorflow
Last synced: 11 Apr 2026
https://github.com/ahmedabdalkreem/hotel-reservation
Our task is to classify a Hotel Reservation as either booking canceled (class1) or no canceled(class0) and use more one model to arrive the best model.
bagging decisiontreeclassifier ensemble extra-trees-classifier logistic-regression matplotlib numpy pandas python3 random-forest sklearn-library svc-model
Last synced: 11 Apr 2026
https://github.com/farial-mahmod/nuclear-energy-generation-prediction-logistic-regression
Nuclear Energy Generation Prediction Logistic Regression project is aimed at predicting the nuclear energy generation based on the production (generation) data from 1991 to 2023 by using Logistic Regression.
energy kaggle logistic-regression machine-learning matplotlib nuclear-energy nuclear-power numpy power python3 sklearn
Last synced: 05 May 2026
https://github.com/rohitinu6/image_cartoonify
To Cartoonify an Image using opencv-python
image-processing matplotlib numpy opencv opencv-python python
Last synced: 12 Apr 2026
https://github.com/tnleite/credit-card-customer-clustering
Este repositório apresenta um projeto de segmentação e predição de clientes de cartões de crédito. Utilizando EDA, clusterização (K-Means) e machine learning, o objetivo é prever o grupo de novos clientes, apoiando estratégias de marketing personalizadas.
classification-algorithm clustering-algorithm clustering-analysis data-science exploratory-data-analysis kmeans-clustering logistic-regression machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn seaborn
Last synced: 07 May 2026
https://github.com/azaz9026/data_cleaning
Welcome to the Data Cleaning repository! This collection is dedicated to showcasing techniques and methods for cleaning and preparing datasets for analysis.
data-analysis data-engineering data-structures data-visualization eda feature-engineering machine-learning numpy outliers pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/techcsispit/algorithmic-trading
This project focuses on algorithmic training using Python in Jupyter Notebooks. It covers various data structures and algorithms, providing a hands-on approach to solving algorithmic challenges. The notebooks are designed to be interactive and educational for learners of all levels.
matplotlib numpy pandas python sklearn
Last synced: 04 Sep 2025
https://github.com/hrolive/fundamentals-of-accelerated-data-science
How to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results.
accelerated-computing bokeh cudf cugraph cuml cupy dask data-science jupyter numpy pandas python rapids xgboost
Last synced: 12 Apr 2026
https://github.com/ahmedabdalkreem/connected_component_labeling
Technique used to detect small object in the image like shapes and number can used this technique in OCR.
computer-vision connected-components matplotlib numpy object-detection python rgb2gray threshold
Last synced: 11 Apr 2026
https://github.com/rama1997/lane-line-detection
Uses computer vision to detects lane lines on the road from images/videos using the POV of a driving vehicle
numpy opencv opencv-python python
Last synced: 10 Apr 2026
https://github.com/dmalexx/lab1_computervision
Computer Vision Intro
matplotlib matplotlib-python numpy opencv rgb
Last synced: 09 May 2026
https://github.com/elon-fask/nlp_num1
Natural Language Processing with Disaster Tweets
ai machine-learning nlp nlp-machine-learning numpy pandas python text-processing
Last synced: 10 Apr 2026
https://github.com/badranalyst/titanic-survival-prediction-full-data-science-project-classification
This project predicts Titanic survivors using classification models. It includes data cleaning, pre-processing, exploratory data analysis (EDA), categorical feature conversion, model building, and evaluation. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used to analyze and predict survival outcomes.
classification data-analysis data-science eda exploratory-data-analysis machine-learning matplo matplotlib-pyplot ml model numpy pandas predictive-modeling python seaborn
Last synced: 06 May 2026
https://github.com/apal21/tensorflow-linear-regression-fit-data
Fit a line passing through data with some random noise using Tensorflow linear regression with Gradient Descent Optimizer.
gradient-descent linear-regression numpy python3 tensorflow
Last synced: 12 Apr 2026
https://github.com/niteshchawla/logistics-nn-regression
The case study is about India's Largest Marketplace for Intra-City Logistics. This dataset has the required data to train a regression model that will do the delivery time estimation, based on all those features.
adam-optimizer data-visualization encoding exploratory-data-analysis feature-engineering hidden-layers hyperparameter-tuning keras-tensorflow kerastuner metrics neural-network numpy pandas regression relu scaling sequential-models
Last synced: 10 Apr 2026
https://github.com/gyselle-marques/reconhecimentofacial-desafiodio
Machine Learning: Sistema de Reconhecimento Facial criado com OpenCV e YOLO11.
colab-notebook dataset dio-bootcamp face-detection face-recognition image-classification machine-learning numpy object-detection opencv opencv-python portuguese-brazilian python transfer-learning yolo yolov11
Last synced: 12 Apr 2026
https://github.com/lmizner/codecademy_life_expectancy_gdp
Utilize understanding of data visualization to analyze and plot data about GDP and life expectancy
barplot jupyter-notebook lineplot matplotlib-pyplot numpy pandas python scatterplot seaborn
Last synced: 12 Apr 2026
https://github.com/jaweria-b/eda-basketball
The Streamlit app analyzes NBA player stats with user-selected filters, offering data download and intercorrelation heatmap.
matplotlib numpy python streamlit
Last synced: 10 Apr 2026
https://github.com/babagata/racunalna_fizika
Math and physics solved with python
matplotlib numpy random scipy sympy
Last synced: 10 Apr 2026
https://github.com/afnanenayet/kaggle-titanic
The classic Kaggle Titanic data science challenge
backprop backpropagation classification classifier data forest kaggle layer learn mlp multi numpy pandas perceptron random science scikit sklearn titanic
Last synced: 12 Apr 2026
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
Last synced: 05 May 2026
https://github.com/mnitin-reddy/summer-olympics-data-analysis-web-app
An interactive web app for exploring trends in Olympic Games history, analyzing overall medal tallies, country-wise performance, and athlete demographics. Built with Python and Streamlit, this app offers insights through visualizations and data-driven statistics.
dataanalytics matplotlib numpy pandas python seaborn streamlit
Last synced: 12 Apr 2026
https://github.com/jpcano/boston_housing
Predicting Boston Housing Prices using supervised Machine Learning algorithms
cross-validation machine-learning numpy pandas python regression-models scikit-learn
Last synced: 12 Apr 2026
https://github.com/semihbugrasezer/rockvsmine
Rock vs Mine Prediction with Python | Machine Learning Project
Last synced: 05 May 2026
https://github.com/armahdavi/mlops
Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.
apache-beam docker fastapi logistic-regression mlops mlops-workflow numpy random-forest sklearn tensorflow-extended unicorn xgboost
Last synced: 12 Apr 2026
https://github.com/anuuragg/numpyneuralnet
machine-learning matplotlib neural-network numpy pandas
Last synced: 18 Jan 2026
https://github.com/anubhavkumar31/simple-heart_disease_prediction-using-logisticregression
Its a simple yet good model which predicts if a person have heart disease or not. This is a binary classification model i.e its output is either 0(dont have heart disease) or 1 (have heart disease).
logistic-regression machine-learning numpy python sklearn sklearn-linear-model sklearn-metrics
Last synced: 10 Apr 2026
https://github.com/khaymanii/spam_mail_detection_model
This model was built using Python and Logistics Regression algorithm
matplotlib numpy pandas python sckiit-learn
Last synced: 10 Apr 2026
https://github.com/lijesh010/employeeanalysis-
This is a simple data analysis project developed as part of my Entri Elevate Data Science and Machine Learning course. It serves as a practical demonstration of my skills in data analysis.
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/mogankumar/virtual-mouse
A Python-based Virtual Mouse that uses hand gestures for cursor control, clicking, scrolling, and taking screenshots. Powered by OpenCV, PyAutoGUI, and a custom hand tracking module for a touch-free experience.
autopy numpy opencv pyautogui python3
Last synced: 10 Apr 2026
https://github.com/kbunwong/stock-price-prediction-using-lstm
This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.
google-colab jupyter-notebook keras-tensorflow lstm-model machine-learning matplotlib numpy pandas python visualization yfinance
Last synced: 05 May 2026
https://github.com/sahil210695/gradient-descent
A simplified explanation of gradient descent for linear regression in python using numpy
gradient-descent gradient-descent-algorithm linear-regression matplotlib mini-batch-gradient-descent numpy python stochastic-gradient-descent
Last synced: 03 May 2026
https://github.com/rizkyrajitha/ann_101
A really simple neural network for binary classification written from scratch using python
Last synced: 08 May 2026
https://github.com/alisonmitchell/countries-of-the-world
Exploratory Data Analysis of US Government data from the World Factbook to investigate GDP ($ per capita), Literacy (%) and Phones (per 1000).
data-science machine-learning matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/visu512/spotify-music-recommender
Built Spotify Music recommendation system using Machine learning
csv-files dataset jupyter-notebook kmeans-clustering machine-learning matplotlib numpy panda python scikit-learn spotify-api stream vscode
Last synced: 12 Apr 2026
https://github.com/aleksandarbuk/machine-learning
The Machine Learning Library repository provides a collection of scripts and tools leveraging Scikit-Learn, Pandas, and NumPy for various machine learning tasks and data analysis.
matplotlib numpy python scikit-learn tensorflow
Last synced: 16 Apr 2026
https://github.com/aneeshmurali-n/project-ml-data-preprocessing
The main objective of this project is to design and implement a robust data preprocessing system that addresses common challenges such as missing values, outliers, inconsistent formatting, and noise. By performing effective data preprocessing, the project aims to enhance the quality, reliability, and usefulness of the data for machine learning.
data-analysis data-cleaning data-encoding data-exploration feature-scaling label-encoding matplotlib minmaxscaler numpy one-hot-encoding outlier-detection pandas standardscaler
Last synced: 02 May 2026
https://github.com/ewakamoto/03.-python-projects
This is my collection of Python Projects
jupyter jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/knightkun77/image_classification_project
Image Classification Using Python
keras machine-learning matplotlib numpy opencv python tensorflow tikinter
Last synced: 24 Jan 2026
https://github.com/sonatipek/matris_transactions_py
My "Python Programlama-I" lesson's homework. Some matris transactions with numpy library in Python
matrix numpy numpy-arrays python sonatipek
Last synced: 24 Mar 2025
https://github.com/sothulthorn/stock-prediction-portal
The Stock Prediction Portal is a full-stack web application that demonstrates how to use machine learning models to analyze stock market data and forecast future trends.
axios django django-rest-framework javascript keras matplotlib numpy pandas python react tensorflow yfinance
Last synced: 02 Apr 2026
https://github.com/szymon-budziak/fundamentals_of_deep_learning
Fundamentals of Deep Learning NVIDIA course.
deep-learning machine-learning numpy nvidia pandas python tensorflow
Last synced: 10 Apr 2026
https://github.com/hariprasath-v/av-job-a-thon-november-2022
Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.
exploratory-data-analysis kaggle lightgbm-regressor matplotlib numpy pandas python rmse-score seaborn sklearn statsmodels timeseries-forecasting
Last synced: 12 Apr 2026
https://github.com/prarthana-singh/potato-disease-classification-using-deep-learning
🌱 Potato Disease Classification using Deep Learning – A deep learning-based model to detect and classify potato plant diseases using image processing and CNNs. Built with TensorFlow/Keras & Python.
agriculture cnn deep-learning image-classification keras machine-learning neural-network numpy pandas plant-disease-detection python3 streaming tensorflow
Last synced: 12 Apr 2026
https://github.com/ryan-bendelson/2024-summer-research
This is Python code that I worked with during my summer 2024 research project involving quantum physics.
density-matrices kronecker-product linear-algebra miniconda3 numpy numpy-arrays partial-trace python quantum-information
Last synced: 16 Apr 2026
https://github.com/sowmi0304/predictive-modeling-titanic-survival-prediction
Machine learning project to predict passenger survival on the Titanic using classification algorithms, data preprocessing, and model evaluation techniques.
machine-learning matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/munawar-code/car_price_predictor
This project is a ML-based car price prediction system. The model is built using Jupyter Notebook for training and evaluation, while a simple one-page website was developed using Pycharm to provide interface for users to input car details and get price predictions.
datapreprocessing datavisualization exploratory-data-analysis feature-engineering flask-application html-css-javascript linear-regression machine-learning-algorithms matplotlib numpy pandas python scikitlearn-machine-learning
Last synced: 13 Apr 2026
https://github.com/manikantasanjay/data_analysis_using_python_libraries_series
This Series contains Data Analysis projects performed on different Kaggle datasets and providing valuable insights into the data by making use of Python libraries.
exploratory-data-analysis kaggle-datasets machine-learning matplotlib numpy opendatasets pandas python visualization
Last synced: 12 Apr 2026
https://github.com/the-developer-306/fake-review-detector
This project is a machine learning-based review classification system that predicts whether a product review is GENUINE or FAKE. It preprocesses review text, analyzes sentiment, and uses numerical features like ratings and helpfulness to make predictions. The model is deployed via a Flask web application for user interaction.
classification flask logistic-regression machine-learning numpy pandas python renderdeploy scikit-learn sentiment-analysis
Last synced: 12 Apr 2026
https://github.com/jkosla/neural_network_from_scratch_numpy
Neural Network From Scratch in Python | Build a simple neural network from scratch using pure Python and NumPy. Learn about forward propagation, backpropagation, and training with gradient descent. Accompanies my Medium article.
ai aritificial-intelligence medium nerual-networks numpy python3 tutorial
Last synced: 10 Apr 2026
https://github.com/ahmedabdalkreem/animals_classification
This project is dependent to make classification between faces of cats, dogs and wild_animals and use multiple model such as CNN and pretrained model like ResNet and MobileNet and show the result of all model in the image using heatmap to know what is the part that model take decision when see it.
classification cnn heatmap matplotlib mobilenet numpy opencv pandas pretrained-models python restnet
Last synced: 12 Apr 2026
https://github.com/pedasoft-consult/multi_class_text_classification
Multi-Class Text Classification for News Headlines
keras matplotlib-pyplot nltk numpy pandas seaborn sklearn tensorflow
Last synced: 09 Apr 2026
https://github.com/soumyapro/heart-disease-prediction
This project is aimed at predicting the likelihood of coronary heart disease (CHD) in individuals over the next ten years using Logistic Regression.
logistic-regression numpy pandas simpleimputer sklearn
Last synced: 21 Jan 2026
https://github.com/ledsouza/MedPhys-BI
Aplicativo desenvolvido para gestão e análise de dados do Serviço de Física Médica em Medicina Nuclear do HCPA
aws boto3 cloud-computing cloud-run docker dotenv gcp mongodb numpy os pandas plotly pymongo python s3 streamlit terraform vitrinedev yaml
Last synced: 22 Sep 2025
https://github.com/anselmoo/useful-math-functions
useful-math-functions for Optimization, Benchmarking, Visualizing, and more ...
basic functions math mathematics numpy
Last synced: 17 Mar 2025
https://github.com/mogankumar/covid-19-classification
A deep learning-based project that classifies chest X-ray images into Normal, COVID-19, and Viral Pneumonia using a two-layer CNN architecture. Achieves high accuracy and demonstrates potential for aiding in early diagnosis and treatment of COVID-19.
keras-tensorflow matplotlib numpy python3
Last synced: 11 May 2026
https://github.com/themysterysolver/python_basics
"This repo includes simple Python programs for beginners, covering various concepts, object-oriented programming, and different module usages, to help with understanding and learning Python."
basic-python-syntax collections dsa matplotlib numpy oops-in-python pandas python re scipy
Last synced: 05 Apr 2026
https://github.com/amardeepsingh-06/smart_attendance_system
The Smart Attendance System is designed to automate the attendance process using facial recognition. Traditional methods of taking attendance can be time-consuming and prone to errors. This project aims to streamline the process by leveraging computer vision technology, allowing for efficient, contactless, and accurate attendance tracking.
asgiref django mysql numpy opencv pillow-library python sqlparse
Last synced: 05 Apr 2026
https://github.com/rakibhhridoy/appliedmachinelearninghousing-regression
Let's take the Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library. The objective is to predict the value of prices of the house using the given features.
deep-learning housing-market housing-prices machine-learning numpy pandas python real-estate regression scikit-learn
Last synced: 05 Apr 2026
https://github.com/prajakta1321/authencheck
Amdocs Gen AI Graduate Hackathon 2024-25- A comprehensive fact-checking and misinformation detection system that leverages cutting-edge AI models and multiple news sources to verify information circulating on social media
api bert-fine-tuning flask-application matplotlib ngrok-server nlp nlp-machine-learning numpy pandas python3 scikit-learn seaborn wandb
Last synced: 05 Apr 2026
https://github.com/offthetab/statistics_homework
Практические работы по статистике МИРЭА 3 курс.
numpy pandas python statsmodels
Last synced: 05 Apr 2026
https://github.com/greatmonster11/ct202
Machine Learning Theorety
clustering decision-tree iris-dataset k-fold linear-regression numpy pandas perceptron-learning-algorithm python sklearn
Last synced: 05 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
Last synced: 02 May 2026
https://github.com/anas436/diabetes-prediction-whether-has-diabetes-or-not
jupyter-notebook numpy pandas python3 sklearn svm
Last synced: 05 Apr 2026
https://github.com/tigureis/data-preparation-from-kickstarter-campaigns
Kickstarter Data Prep: A hands-on guide to basic data cleaning and transformation.
data-cleaning data-construction data-integration data-science data-selection numpy pandas
Last synced: 19 Apr 2026
https://github.com/perpendicooler/computational_fluid_dynamics
Numerical Methods
2-dimensional-heat boundary-element-method computational-fluid-dynamics diffusion-models finite-difference-method finite-element-methods finite-volume-methods fluid-dynamics heat-equation heat-transfer jupyter-notebook matplotlib numerical-methods numpy odeint odeivp python rk4 scipy
Last synced: 13 Apr 2026
https://github.com/ondiekelijah/data-analysis-udacity
Udacity Data Analysis Nano Degree course resources
jupyter-notebook matplotlib numpy pandas python
Last synced: 17 Mar 2025
https://github.com/clchinkc/zombie
Personal project, Python, NumPy, Matplotlib, Pygame, Scikit-learn, TensorFlow, Docker
algorithms data-analysis docker machine-learning matplotlib numpy pygame python sklearn tensorflow zombie-simulation
Last synced: 05 Apr 2026
https://github.com/iv4n-ga6l/simple-image-segmentation
Simple implementation of image segmentation using the Watershed algorithm
imagesegmentation matplotlib numpy opencv python watershed-algorithm
Last synced: 13 May 2026
https://github.com/futuresea-dev/media-player-vision
Media Player Vision
numpy opencv pygui python scipy tkinter vlc-media-player vsa
Last synced: 05 Apr 2026
https://github.com/niteshchawla/delhivery-featureengineering
The Data team builds intelligence and capabilities using this data that helps them to widen the gap between the quality, efficiency, and profitability of their business versus their competitors.
feature-engineering hypothesis-testing matplotlib-pyplot numpy pandas-python scipy-stats seaborn
Last synced: 14 May 2026
https://github.com/sejalmankar1012/customer_churn
The goal of this project was to develop a machine learning model that predicts customer churn based on historical customer data.
dataset deep-learning deployment machine-learning model-building modeling numpy optimization pandas seaborn streamlit tensorflow
Last synced: 05 Apr 2026
https://github.com/Marvin-VW/3dengine_python
3D engine written in Python using OpenCV and NumPy
Last synced: 29 Sep 2025
https://github.com/hadson0/dip-candy-classification
Candy classification project using digital image processing. Includes dataset creation, model development, and evaluation tools with TensorFlow, OpenCV, and Albumentations. Complete setup and instructions provided for building and training the model.
albumentations bounding-boxes cnn computer-vision cvat image-classification image-processing keras machine-learning matplotlib numpy opencv python seaborn sklearn tensorflow
Last synced: 29 Sep 2025
https://github.com/yalai92/cava_imp_exp_analysis
Analysis, visualization, preprocessing and clustering of global sparkling wine trade (2017–2024) using Python in Colab and ML to reveal trends and country profiles.
clustering colab-notebook data-science data-visualization machine-learning matplotlib numpy pandas preprocessing python sklearn tableau-public
Last synced: 25 Jan 2026
https://github.com/jovicdev97/Financial-Loan-DataScience-Notebook
using numpy and pandas to analyze a synthetic loan dataset with python
data-analysis matlabplot numpy pandas plotting python seaborn
Last synced: 12 Mar 2025