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/fjohnson87/planning-and-feasability
Data-driven feasibility analysis using pandas, seaborn, and FAO food supply data
Last synced: 04 May 2026
https://github.com/pyfig/s21_data-science-bootcamp
School21 Bootcamp Data Science
data data-science numpy pandas python school21
Last synced: 26 Jun 2025
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/atharvkadammm/suicide-prediction-system
A machine learning project predicting suicide risk based on multiple socio-economic and environmental factors using data mining techniques.
csv data-analysis data-science data-visualization datamining exploratory-data-analysis feature-engineering machine-learnin matplotlib mental-health numpy pandas riskassesment seaborn sklearn suicide-prediction supervised-
Last synced: 01 Jul 2025
https://github.com/iankitnegi/datapy
Welcome to DATAPy! This repo contains my Python coding projects for data science, featuring data manipulation, analysis, and visualization. Stay tuned for updates and new content!
basic-programming matplotlib numpy pandas python seaborn
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https://github.com/atharvkadammm/calmlytic
An end-to-end machine learning project that predicts anxiety severity using classification models (Naive Bayes, Decision Tree, SVM, Logistic Regression, XGBoost), based on lifestyle, health, and behavioral features.
anxiety-prediction classification csv data-analysis data-preprocessing-and-cleaning data-science data-visualization ensemble-learning logistic-regression machine-learning-algorithms matplotlib mental-health numpy pandas python sci-kit-learn seaborn supervised-learning svm xgboost
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https://github.com/ola-kaznowska/first-steps-in-numpy
My first steps in the NumPy library
mathematics numpy python python3
Last synced: 20 May 2026
https://github.com/ayushhhh123/diwali_sales_analysis
This project provides a comprehensive analysis of Diwali sales data using Python. The primary goal is to derive business insights from customer purchasing behavior during the Diwali festival season. This analysis can help improve marketing strategies, customer targeting, and overall sales performance.
matplotlib numpy pandas python seaborn
Last synced: 07 May 2026
https://github.com/swarnabhaghosh/house-price-prediction-model
Built an end-to-end regression pipeline to predict house prices using Linear Regression with automated preprocessing (PowerTransform, StandardScaling) via Scikit-learn's Pipeline and ColumnTransformer.
column-transformer linear-regression matplotlib-pyplot numpy pandas pipeline python scikit-learn seaborn
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https://github.com/elifftosunn/textdataclean
Kirli veri çekildiğinde ön işleme adımlarına gerek kalmadan model eğitimi için hazır hale getirmek amacıyla yapılan uygulamadır.
corpus deasciifier morphological-analysis ngram nltk numpy pandas sentence-embedding sentence-tokenizer stemmer stopwords string turkish turkish-sentence-tokenizer word-tokenizer
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Gender and Age recognition from face images
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https://github.com/kr1shnasomani/speedvision
Vehicle speed detection using Computer Vision, Deep Learning and Neural Network
bytetrack computer-vision deep-learning neural-network numpy opencv pytorch supervision tqdm yolo
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https://github.com/jol79/python_exercises
Solving interesting python exercises on different topics
matplotlib-pyplot numpy pandas python3 pythonexercises scikit-learn seaborn
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https://github.com/damiieibikun/data-science-capstone-project-ibm---space-x-falcon-9-landing-predictions
Applied Data Science Capstone Project for Cousera's IBM Data science professional
beautifulsoup4 classification dash-plotly data-science data-visualization ibm-capstone interactive-visualizations machine-learning matplotlib numpy pandas python requests-library-python seaborn sklearn spacex-launches
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https://github.com/snigdho8869/clustering-projects
Repository for various clustering projects including mall customer segmentation and more. Explore data analysis and clustering techniques
cluster-analysis clustering clustering-algorithm customer-segmentation deep-learning gaussian-mixture-models hierarchical-clustering hierarchical-models kmeans-algorithm kmeans-clustering machine-learning mall-customer-segmentation mall-customers numpy pandas scikit-learn segmentation spectral-clustering tensorflow
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https://github.com/trivediayush/python-bootcamp
This repository contains code, notes, and examples from my journey learning Python and its essential libraries.
flask matplotlib numpy pandas python python3 pythonbootcamp
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https://github.com/jpcadena/malware-analysis
Analysis of malware signatures and their associated Common Vulnerabilities and Exposures (CVEs)
black common-vulnerabilities-and-exposures cve-search data-analysis data-engineering data-reporting data-visualization isort malware-analysis matplotlib mypy numpy pandas plotly poetry pre-commit pydantic python ruff seaborn
Last synced: 03 Mar 2026
https://github.com/anshpg/linearluminary
Greetings! I've developed a straightforward linear regression model from scratch to predict house prices in Bangalore. But before delving into coding, let me walk you through the algorithm's conceptualization. I considered various factors such as location, ocean proximity, plot size, finished state, and flat type.
algo linea mathematics matplotlib numpy pandas pyth
Last synced: 13 May 2026
https://github.com/pedronjorge/average-face-python
Generate an average face from a given set of images by detecting facial landmarks, aligning features, and blending the images using Delaunay Triangulation. Libraries used: Dlib, OpenCV, NumPy
dlib image-generation jupyter-notebook numpy opencv python3
Last synced: 21 Jun 2025
https://github.com/davgiles/ML-Projects
This repository contains my projects from the Data Science & Business Analytics Post-Graduate Program through UT Austin.
eda matplotlib numpy pandas python scikit-learn scipy seaborn visualization xgboost
Last synced: 20 Jan 2026
https://github.com/makoczoro/credit-default-risk-analysis-eda
This repository contains the detailed EDA Analysis of Home Credit Group Dataset. The analysis aims to find demographic and financial factors associated with higher or lower default risks, providing actionable insights for risk mitigation and improved lending practices
bivariate-analysis correlation-analysis data-preprocessing exploratory-data-analysis exploratory-data-visualizations matplotlib numpy pandas seaborn univariate-analysis
Last synced: 20 May 2026
https://github.com/pransu-code/marathonprediction
Case-based Time Prediction for Recreational Marathon Runners
gbm machine-learning-algorithms numpy pandas python random-forest regression-models scikit-learn seaborn sklearn
Last synced: 07 Mar 2026
https://github.com/pzuehlke/ml-with-numpy
Basic ML algorithms using only NumPy
deep-learning machinelearning numpy
Last synced: 20 May 2026
https://github.com/massimilianovisintainer/house-price-model-prediction
House price prediction model using XGBoost.
machine-learning models numpy pandas python sklearn xgboost xgboost-regression
Last synced: 20 Jan 2026
https://github.com/nik-kusanagi/jupyter
Treinamento Para Análise de Dados.
big-data jupyter jupyter-notebook matplotlib numpy pandas python python3
Last synced: 30 Apr 2026
https://github.com/viivianreine/carbon-footprint-calculator-using-advanced-machine-learning-cnn-
🌍 An AI-powered Carbon Footprint Calculator built with Python, TensorFlow (CNNs), and Streamlit. Delivers real-time emission predictions, visual insights, and country-wise comparisons from user lifestyle data. Adaptive, scalable, and designed to drive sustainability through intelligent software solutions.
api-based-ai-integration cloud-ready convolutional-neural-networks data-featuring data-preprocessing ipcc keras keras-tensorflow matplotlib model-optimization numpy pandas python realtime-database seaborn streamlit streamlit-deployment streamlit-webapp supervised-machine-learning tensorflow
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https://github.com/csengupta1101/python-concepts
All basic to advanced Python Concepts Will be covered here in depth.
data-science django dsa-algorithm flask machine-learning numpy pandas python rest-api software-development
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https://github.com/udayraj04/facialemotion_musicrecommendations
A web application that detects facial emotions via webcam and recommends music tracks that match the user’s mood in real-time. Built with Flask, TensorFlow/Keras, OpenCV, and a React frontend.
cnn flask machine-learning numpy opencv pil reactjs tensorflow
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https://github.com/sridharyadav07/ai--powered-task-management-system
An intelligent Task Management System that integrates Sentiment Analysis, Task Optimization, and Forecasting to streamline project and task handling. This AI-powered tool is designed to assist teams and project managers in making data-driven decisions by understanding emotional context, forecasting productivity, and optimizing workload distribution
arima flask joblib jupyter-notebook naive-bayes-classifier nltk numpy pandas pickle-file python randomforestregressor scikit-learn stopwords-removal streamlit tfidf-vectorizer
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https://github.com/s-h-i-v-i-s/bangalore-housing-price-prediction
A Machine Learning Project to predict Bangalore House Prices.
jupyter-notebook machine-learning matplotlib numpy pandas python pythonflask sklearn
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https://github.com/rdmolony/nix-numpy-financial
A nix derivation for numpy-financial - https://pypi.org/project/numpy-financial/#files
Last synced: 05 Mar 2025
https://github.com/sumaiyyaf/spotify-data-analysis
This project explores Spotify music data, using Python to clean, analyze, and visualize the dataset. It examines the relationship between audio features and sentiment in song lyrics, uncovering patterns and trends to provide valuable insights into music preferences.
Last synced: 08 May 2026
https://github.com/annygutierrez/data-preprocessing
Preprocessing deep learning template.
matplotlib numpy pandas sklearn
Last synced: 02 May 2026
https://github.com/ramankishore08/sales-data-analytics
Sales data analysis using Python and Power BI
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https://github.com/brenofariasdasilva/dagster-heart-disease-risk
Dagster Heart Disease Risk Model.
dagster heart-disease jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/harrisonwelch/pythondatascience
Repo of code from the linked-in lesson "Python: Data Analysis"
data data-science matplotlib notes numpy python tutorial
Last synced: 12 Apr 2026
https://github.com/vlad1343/tools
This repository demonstrates the acquisition of advanced Python programming skills through structured exercises and projects, with a strong emphasis on NumPy for array manipulation, slicing, masking, and reshaping
jupyter-notebook numpy numpy-library numpy-python pandas pandas-python python python3
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https://github.com/okoge-kaz/deep_learning
O'REILY ゼロから作るDeep Learning
deep-learning neural-network numpy pandas perce python3
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https://github.com/pythoncoderunicorn/linear-algebra-python
Linear Algebra in Python
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https://github.com/gospacedev/exoseeker
A machine learning exoplanet transit data analysis web interface
artificial-intelligence exoplanet-transits exoplanets gradient-boosting machine-learning matplotlib nasa nasa-data nasa-spaceapps-challenge numpy pandas perceptron-neural-networks random-forest sklearn streamlit
Last synced: 07 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
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https://github.com/aritrakar/ml-from-scratch
🤖Common ML implementations from scratch.
machine-learning numpy pandas python pytorch
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https://github.com/dmarks84/coursework_capstone_spacex_predictions
Final Project for IBM Data Science Professional Certificate -- Applied all skills and methods utilized in the series of courses for this certification to predict the success of SpaceX landings; issued full report to stakeholders
api classification dash eda folium linear-algebra matplotlib mysql numpy pandas plotly probability python seaborn sql statistics supervised-ml technical-writing web-scraping
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https://github.com/carinquantifiable119/data-science-handbook
📝 Explore Jupyter notebooks and reusable code to master data science workflows and enhance your skills effectively.
analytics aws biostatistics causal-inference computer-science ipython machine-learning meta neural-networks notebook numpy probability probability-cheatsheet python scicloj seaborn statistics-cheatsheet targeted-learning
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https://github.com/mostafa-bashir/investigating_dataset_udacity
ipython jyputer-notebook numpy pandas python
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https://github.com/chinmayee4/diwali_sales_analysis_using_python
Analyze Diwali Sales Data to improve customer experience and sales.
data-science exploratory-data-analysis matplotlib numpy pandas python seaborn
Last synced: 08 Apr 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
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https://github.com/jha2001/movie-recommender-system
machine-learning nltk numpy pandas pickle scikit-learn streamlit
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https://github.com/szymon-budziak/fundamentals_of_deep_learning
Fundamentals of Deep Learning NVIDIA course.
deep-learning machine-learning numpy nvidia pandas python tensorflow
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https://github.com/mikhailkhorokhorin/the-loop
Student project of team "полетики-самолетики"
3dsmax krpc ksp math matplotlib numpy python
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https://github.com/ksharma67/eda-on-ipl
In this python notebook, analysis of IPL matches from 2008 to 2020 is done using python packages like pandas, matplotlib and seaborn.
data-analysis data-science eda matplotlib numpy pandas python seaborn
Last synced: 07 May 2026
https://github.com/matteofasulo/pytripadvisor
Trip Advisor Web Scraper
beautifulsoup4 folium geopandas matplotlib nltk-tokenizer numpy pandas plotly python restaurant scipy selenium sql
Last synced: 08 Apr 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
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https://github.com/marferdom/codenotes
Notes while learning to code in python
fastai ipython matplotlib-pyplot numpy python sci-kit-learn seaborn tensorflow tkinter torch
Last synced: 04 Apr 2026
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/redinfinitypro/redditbot
Rating: (7/10) This script collects, preprocesses, trains models, processes images, and handles files, handling data from Reddit, image processing, and file handling.
autocorrect bytesio concurrent nltk numpy openpyxl pandas pil praw random re requests secrets sklearn string tensorflow time urllib
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https://github.com/andriikot/smartmatch
Smart Match with python
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https://github.com/tuokri/rs2-weapon-damage-analysis
Data visualization app for Rising Storm 2: Vietnam.
dash data-display data-visualization numba numpy pandas plotly postgres rising-storm-2-vietnam sqlalchemy timescaledb
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https://github.com/matheusotenio/oficina-python
https://oficina-python.streamlit.app/
matplotlib numpy python streamlit
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https://github.com/michaeldehaney94/opencv
Python OpenCV computer vision projects
matplotlib numpy opencv-python python
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https://github.com/dulajkavinda/diabetes-detection
💊detect diabetes using machine learing
added machinelearning numpy pandas python scikit
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https://github.com/lorenzorottigni/ml-interview
Machine Learning python bootcamp: K Nearest Neighbors job interview simulation dataset
ipynb k-nearest-neighbours machine-learning numpy pandas python scikit-learn seaborn
Last synced: 07 Apr 2026
https://github.com/sandeepannandi/slicecam
SliceCam is a fun, camera-controlled game powered by OpenCV and Mediapipe that lets you slash flying fruits with real-time hand tracking.
collision-detection handtracking mediapipe mediapipe-hands motiondetection numpy opencv pygame python
Last synced: 06 May 2026
https://github.com/nurulashraf/linear-regression-spotify
Data Science - Spotify Linear Regression Analysis
data-analysis data-preprocessing data-visualization dataset-exploration feature-selection linear-regression machine-learning matplotlib mean-squared-error model-evaluation multiple-regression music-analytics numpy predictive-modeling python regression-analysis root-mean-squared-error scikit-learn seaborn spotify-data
Last synced: 01 May 2026
https://github.com/itzzmeakhi/ab-testing
This project was done as a part of Udacity's Data Analyst Nanodegree program in which AB-Testing is performed for the users under treatment and control groups to predict whether changes should be done for an website or it is ideal to keep the existing one, based on the performance of old and new pages. Hypothesis testing, z-test, and Logistic Regression is performed to predict results.
bootstrapping hypothesis-testing jupyter-notebook matplotlib numpy pandas python statistics z-test
Last synced: 04 May 2026
https://github.com/faraazarsath/handson-numpy
This respository is on various Numpy Tasks provided as academic assignment
Last synced: 16 May 2026
https://github.com/bearddan2000/python-web-3d-matplotlib-polygon-graph
A demo of creating a 3d polygon graph.
3d graph matplotlib numpy pandas polygon python web
Last synced: 03 May 2026
https://github.com/aysh2603/credit-card-fraud-detection
The Credit Card Fraud Detection project aims to identify fraudulent transactions from a dataset of credit card transactions. The project addresses the challenge of class imbalance and employs advanced machine learning techniques to build an effective fraud detection model.
ensemble-learning hyperparameter-tuning numpy pandas python3 scikit-learn streamlit
Last synced: 04 Feb 2026
https://github.com/iamfarrokhnejad/some-neural-network-application
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cv2 deep-learning deep-neural-networks educational matplotlib neural-network neural-networks neuralnetwork neuralnetworks numpy python sklearn tensorflow tensorflow2
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https://github.com/miltiadiss/TSLA-stock-price-prediction
matplotlib numpy pandas scipy sklearn
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https://github.com/abynxv/automatedexamsheetgrader-ocr
This Python project automates grading of handwritten or printed answer sheets using OCR (Optical Character Recognition). It extracts student answers from scanned images, compares them to an answer key, and generates a detailed report with class statistics.
numpy ocr-recognition opencv pandas python3 tesseract
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https://github.com/aqueeqazam/a-deep-dive-introduction-to-tensorflow
TensorFlow is a deep learning system that provides an interface for expressing deep learning algorithms and implementing them. It uses dataflow graphs to represent computation, shared state, and the operations that mutate that state.
deep-learning neural-network numpy tensor tensorflow
Last synced: 03 Aug 2025
https://github.com/sadegh-khedry/pneumonia-detection-using-cnn
Classifying chest X-ray images into two categories: Pneumonia or Normal using a Convolutional Neural Network (CNN).
cnn convolutional-neural-networks cv2 deep-learning harris-corners joblib jupyter-notebook keras kmeans-clustering matplotlib numpy orb pandas python seaborn shutil sifit tensorflow
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This repository demonstrates three data mining methodologies applied to various real-world datasets: CRISP-DM (Weather Analysis), KDD (Social Media Ads Analysis), and SEMMA (Spotify Recommendation System). Each project includes data exploration, preprocessing, modeling, and evaluation steps, along with comprehensive documentation, supporting files,
clustering-algorithm crisp-dm kdd latex-template machine-learning numpy pandas random-forest research-paper semma
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https://github.com/mohammedrashithkp/drlforsnakegame
This project utilises a Deep Reinforcement Learning specifically Q learning implemented using PyTorch which learns the game by interacting with the pygame environment .I have followed a tutorial on Freecodecamp YouTube Channel and made the initial model.
deep-reinforcement-learning matplotlib-pyplot numpy pygame python
Last synced: 16 May 2026
https://github.com/mah-22/room-occupancy-prediction-using-environmental-sensor-data
This project uses environmental sensor data to predict room occupancy, providing valuable insights for efficient energy management and space utilization in buildings. By analyzing factors like temperature, humidity, and light levels, the model aims to accurately forecast when rooms will be occupied, optimizing resources and enhancing overall buildi
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https://github.com/joeylemon/python-kmeans
an implementation of the K-means clustering algorithm in Python
k-means-clustering matplotlib ml numpy python
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https://github.com/rtmigo/markov_walk_py
🔢 Python module that calculates probabilities for a random walk in 1-dimensional discrete state space
absorbing-markov-chains absorbing-states markov-chain mathematics numpy probability probability-theory random-walk stochastic-matrix stochastic-models
Last synced: 21 May 2026
https://github.com/rahatmoktadir03/customer-churn-prediction
A machine learning project for predicting customer churn, enabling businesses to identify at-risk customers and develop retention strategies.
business-analytics customer-churn-prediction data-science google-colab machine-learning numpy pandas python sklearn strreamlit xception-model
Last synced: 11 Apr 2026
https://github.com/muralikrishna-cec/mca-s3
MCA SEMESTER 3 PROGRAMS
android-application android-studio java jupyter-notebook ml numpy python
Last synced: 08 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/evernext10/coursera_capstone
This repository is created for sending the IBM Data Science Lab and will be used primarily for the Capstone project.
coursera-data-science ibm numpy pandas
Last synced: 10 May 2026
https://github.com/tushar365/titanic---machine-learning-from-disaster
"Titanic: Machine Learning from Disaster" is a classic Kaggle competition for beginners https://www.kaggle.com/competitions/titanic. The goal is to use machine learning to predict which passengers survived the sinking of the Titanic based on historical data. This teaches data analysis and model building skills in a real-world context.
data-science dicision-tree logistic-regression machine-learning matplotlib-pyplot numpy pandas python seaborn
Last synced: 19 Apr 2026
https://github.com/khaja-shaik-21/heart-disease-prediction-system
This form allows users to enter key health details like age, blood pressure, cholesterol levels, and exercise results to predict the likelihood of heart disease. The data is submitted to the backend for processing, where a machine learning model provides a prediction. The form is styled for a clean and responsive user experience.
css3 flask-application git html5 logestic-regression numpy pandas python3 scikit-learn
Last synced: 12 Apr 2026
https://github.com/anufrievsy/man_women
Данный скрипт был создан с целью поиска субъективно интересных серий ТВ-шоу "Мужское Женское"
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Last synced: 05 Feb 2026
https://github.com/abidhasanrafi/pharma-sales-analytics
A Streamlit-powered web application for analyzing pharmaceutical sales performance across teams, products, and territories.
matplotlib numpy pandas plotly sales-analysis scikit-learn seaborn streamlit
Last synced: 08 Apr 2026
https://github.com/pradyumnakr/facial-recognition-using-opencv
Uses haarcascades to recognize facial features, patterns and performs feature extraction followed by labelling the data to recognize the faces on a live webcam.
Last synced: 09 May 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/moritzsalla/cci-advanced-visualization
Classwork for Mick Grierson's module at the Creative Computing Institute
matplotlib numpy openframeworks python tensorflow
Last synced: 06 May 2026
https://github.com/winterwind/ecg_signal_classification
Two-part project that involves detecting the R-peaks in an ECG signal to extract the individual ECG beats and making a machine learning model to classify them
csv csv-files data-science decision-trees ecg ecg-classification ecg-signal jupyter jupyter-notebook knearest-neighbors knn machine-learning matplotlib matplotlib-pyplot numpy pandas pyplot python random-forest scipy
Last synced: 11 Apr 2026
https://github.com/mohammedsaqibms/planar_data_classification_with_onehidden_layer
This repository implements a simple neural network for binary classification of 2D planar data using Python and NumPy. It compares logistic regression with neural networks and includes code for forward/backward propagation, gradient descent, and decision boundary visualization.
backpropagation binary-classification gradient-descent logistic-regression machine-learning neural-networks numpy python3
Last synced: 10 Jul 2025
https://github.com/praju-1/data_science_projects
It contains the necessary code, datasets, and documentation to understand, replicate, and build upon the project's findings and methodologies.
data-science datasets deep-learning exploratory-data-analysis machine-learning matplotlib numpy pandas predictive-analytics python seaborn sklearn statistics visualization
Last synced: 08 Apr 2026
https://github.com/anas436/loan-case-will-be-paid-off-or-not-prediction-using-classification-with-python
decision-trees f1-score ibm-watson itertools jaccard-score knearest-neighbor-algorithm log-loss logistic-regression matplotlib-pyplot numpy pandas python3 scikit-learn sklearn support-vector-machines
Last synced: 08 Apr 2026