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/Udacity-MachineLearning-Internship/Support-Vector-Machine
Implementing SVM's using pandas and sklearn in python
numpy pandas sklearn support-vector-machines svm
Last synced: 17 Jul 2025
https://github.com/riju18/from-data-production-to-client-handover
The common tedious problem is to build a data app to demonstrate the data analysis & analytics along with Machine Learning to a client. It was an attempt to do it on small scale in the most powerful & simplest way.
machine-learning matplotlib numpy pandas plotly python seaborn streamlit
Last synced: 30 Apr 2026
https://github.com/luona-zhang/kaggle-data-science-competitions
This repository contains code developed for participating in Kaggle Data Science competitions.
fitting-algorithm machine-learning model-evaluation numpy pandas scikit-learn seaborn tensorflow
Last synced: 07 Apr 2026
https://github.com/maheera421/supervised-machine-learning
Implementation of necessary supervised machine learning algorithms for regression and classification.
classification classification-models cost-function feature-engineering feature-scaling gradient-descent linear-function linear-regression logistic-loss logistic-regression machine-learning matplotlib numpy regression-models regularization-to-avoid-overfitting scikit-learn sigmoid-function squared-error-cost-function vectorization
Last synced: 11 Apr 2026
https://github.com/priyanshii1511/edge-detection-methods
Repo for implementation of various edge detection techniques.
cv2 edge-detection image-processing matplotlib numpy opencv python
Last synced: 07 Apr 2026
https://github.com/yash-dave/creditcard-fraud-detector
An end-to-end Streamlit app for detecting credit card fraud using unsupervised anomaly detection techniques like Isolation Forest, One-Class SVM, LOF, and Autoencoders.
numpy pandas plotly python seaborn streamlit tensorflow
Last synced: 07 Apr 2026
https://github.com/anathonic/big-data-mining-project
This repository contains the implementation of a machine learning project aimed at predicting movie ratings based on user reviews and tags. The data used for this project comes from the MovieLens dataset, which includes ratings and tags for over 9000 movies collected from 1995 to 2016.
decision-tree-regression gradient-boosting-regressor linear-regression machine-learning matplotlib mlp-regressor numpy pandas python random-forest-regression scipy sklearn
Last synced: 26 Jun 2025
https://github.com/open-risk-academy/academy-course-dat31055
Support material for Academy course DAT31055
linear-algebra matrix-libraries ndarray numpy
Last synced: 20 May 2026
https://github.com/ricardorobledo/data_science_for_beginners
matplotlib numpy pandas python3 scikit-learn
Last synced: 07 Apr 2026
https://github.com/badranalyst/udemy-course-data-analysis-with-pandas-and-visualization-libraries
Explores Udemy course data using NumPy and Pandas for data manipulation. Provides insights into course topics, ratings, and pricing with visualizations created using Matplotlib, Seaborn, and Plotly.
data-science dataset eda exploratory-data-analysis matplotlib matplotlib-pyplot numpy pandas plotly python seaborn
Last synced: 16 Apr 2026
https://github.com/Akhil-krishnan-r/super_market_analysis
The growth of supermarkets in most populated cities are increasing and market competitions are also high. This dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this dataset
data-visualization matplotlib numpy pandas seaborn
Last synced: 03 Feb 2026
https://github.com/linsanity03/particle-in-potential-well
Visualizing the Wavefunction and Probability density of a Particle in a 1D Infinite Potential Well
jupyter-notebook matplotlib-pyplot numpy probability-density schrodinger-equation wavefunction-visualisation
Last synced: 28 Apr 2026
https://github.com/nermeenkamal/image-processing-system
This Python application provides a graphical user interface (GUI) for performing various image processing operations. Users can upload, manipulate, and save images using a range of techniques, including grayscale conversion, binary conversion, histogram equalization, and more.
matplotlib numpy opencv python tkinter
Last synced: 01 May 2026
https://github.com/dimits-ts/computational_statistics
Fundemental ML algorithm mathematics, algebraic and Python implementations, data-based problem solving
applied-mathematics machine-learning numpy regression statistics
Last synced: 14 May 2026
https://github.com/separatrixxx/tmandcm_labs_3_sem
👓 Laboratory works for 3 semester of MAI on theoretical mechanics
matplotlib numpy python theoretical-mechanics
Last synced: 20 May 2026
https://github.com/NoumanAhmad448/linux_windows_mysql_php_python_cheatsheet
A cheatsheet resource that covers the deep learning libraries.
matplotib numpy panda pytorch torchvision
Last synced: 16 Jul 2025
https://github.com/HarshilChampaneri/Titanic_Survival_Prediction
I have Created a Machine Learning Model based on the Logistic Regression algorithm. This Model is capable of predicting whether the person will survive or not survive based on the given data of that particular person.This Model is highly accurate in predicting the result.
artificial-intelligence jupyter kaggle logistic-regression machine-learning matplotlib numpy pandas python seaborn titanic-kaggle titanic-survival-prediction
Last synced: 30 Dec 2025
https://github.com/jigyasag18/fake-news-prediction-project
The Fake News Prediction App Repository offers a machine learning project that focuses on identifying the authenticity of news articles as fake or real. It uses a dataset of 20,000 articles and employs methods such as TF-IDF vectorization and the Porter stemming algorithm, achieving around 97% classification accuracy with logistic regression model.
data datapreprocessing logistic-regression machine-learning machine-learning-algorithms numpy pandas prediction stemming vectorization
Last synced: 08 Jun 2026
https://github.com/aasmirnov-webdev/data_science_projects
Сборник всех выполненных учебных проектов курса Яндекс.Практикум "Специалист по Data Science".
bert catboost data-science database lgbm mashine-learning matplotlib numpy pandas python pytorch scikit-learn scipy seaborn sql xgboost
Last synced: 06 Apr 2026
https://github.com/ksharma67/partial-dependent-plots-and-individual-conditional-expectation-plots
Individual Conditional Expectation (ICE) plots display one line per instance that shows how the instance's prediction changes when a feature changes. The Partial Dependence Plot (PDP) for the average effect of a feature is a global method because it does not focus on specific instances, but on an overall average.
eda gradient-boosting individual-conditional-expectation linear-regression matplotlib numpy pandas partial-dependence-plot python seaborn sklearn xgboost
Last synced: 12 Apr 2026
https://github.com/artuk009/numericalprogramming
Notes and Code examples for Numerical Programming.
matplotlib numpy pandas python scipy sympy
Last synced: 07 Apr 2026
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
Last synced: 30 Dec 2025
https://github.com/anodicpassion/printing-accuracy-analyzer
This project provides a web-based application for analyzing the print quality of scanned documents by comparing them against a template. It identifies issues such as misalignment and blur, providing visual feedback and quantitative metrics.
Last synced: 20 May 2026
https://github.com/fdopa/curso-ciencia-datos
Contenido completo del curso
calculus csv data-science database example graphics-programming ipynb-jupyter-notebook jupyter-notebook library markdow-editor markdown md migration notebook numpy pandas preview python rules web
Last synced: 05 Mar 2026
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/fioraz/ml-project
Salary Prediction Using Multiple Machine Learning Approaches
machine-learning ml natural-language-processing numpy pandas prediction pytorch tensorflow
Last synced: 12 Apr 2026
https://github.com/redreaper420/secret-qr-code-injector
Script for secret QR code injection into PNG images.
image-manipulation numpy pillow png python qrcode steganography
Last synced: 14 May 2026
https://github.com/saattrupdan/neural_network
Homemade neural network from scratch in numpy.
Last synced: 20 May 2026
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
Last synced: 05 Mar 2025
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
Last synced: 13 Apr 2026
https://github.com/nellyndj52/breast-cancer-classification-ml
This project aims to build a machine learning models to predict whether a tumor is malignant or benign based on the Breast Cancer dataset. Various classification algorithms are tested, including Logistic Regression, Random Forest, and Support Vector Machine (SVM).
breast-cancer cancer dataset flask-api heroku-deployment lime machine-learning mlp-networks numpy perceptron-neural-networks pickle segmentation support-vector-machines svm
Last synced: 03 Apr 2025
https://github.com/sakhileln/multimodal-agent
A beginner-friendly project to build a simple multimodal AI agent. 🦾
agent agents ai keras nlp nlp-machine-learning numpy opencv pillow spacy-nlp tensorflow
Last synced: 07 Apr 2026
https://github.com/ahmedabdalkreem/breast-cancer
It help to know the patient have breast cancer or not and show some of diagram analysis data to know what depenent in this disease that lead to this disease.
matplotlib numpy pandas python sklearn-library
Last synced: 07 Apr 2026
https://github.com/navindafernando/heart-disease-prediction
Deploying the heart risk level predicting Regression model in a web application using Flask :white_flower:
flask html joblib machine-learning numpy supervised
Last synced: 06 May 2026
https://github.com/anthippi/naive-bayes-imdb-classification
A custom Naive Bayes classifier for sentiment analysis of movie reviews from the IMDb dataset, utilizing feature selection based on Information Gain and comparing its performance with scikit-learn's BernoulliNB.
classification imdb matplotlib naive-bayes-classifier numpy pandas scikit-learn sklearn
Last synced: 09 Apr 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/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/al-ghaly/global-warming-analysis
Analyze the effect of global warming on the average temperature of some of USA states.
matplotlib-pyplot numpy python python-visualization
Last synced: 10 May 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
Last synced: 08 Apr 2026
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
Last synced: 08 Apr 2026
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
Last synced: 08 Apr 2026
https://github.com/pramodyasahan/learn-ml
This repository serves as both a personal learning diary and a resource for others interested in understanding and applying machine learning concepts. The projects are categorized based on the type of ML model and are implemented in Python using libraries like scikit-learn, pandas, and numpy.
classification clustering machine-learning matplotlib numpy pandas regression scikit-learn supervised-learning unsupervised-learning
Last synced: 07 Apr 2026
https://github.com/pramodyasahan/house-price-prediction
This repository contains the code for a machine learning model aimed at predicting housing prices. The model is based on the RandomForestRegressor algorithm from the scikit-learn library and utilizes feature selection, preprocessing, and pipeline techniques for improved performance.
machine-learning numpy pandas python scikit-learn
Last synced: 08 Apr 2026
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
Last synced: 08 Apr 2026
https://github.com/chewzzz1014/python-libraries
jupyter-notebook learning numpy pandas pygal python seaborn sklearn tensorflow urllib
Last synced: 12 Apr 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
datacleaning datavisualization exploratory-data-analysis linear-regression numpy pandas python seaborn
Last synced: 20 May 2026
https://github.com/aneeshmurali-n/ann-diabetes-prediction
Predicting diabetes progression using an Artificial Neural Network (ANN). This project leverages the scikit-learn diabetes dataset for training and evaluation. Includes data preprocessing, model building, and performance visualization.
ann data-preprocessing data-visualization deep-learning diabetes-prediction exploratory-data-analysis keras machine-learning matplotlib neural-network numpy pandas regression scikit-learn seaborn tensorflow visualization
Last synced: 07 Apr 2026
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
Last synced: 20 Apr 2026
https://github.com/farzeennimran/fashion-mnist-dataset-classification-using-neural-network
Implementation of a Multi-layer Perceptron classifier with hyperparameter tuning and k-fold cross-validation employing GridSearchCV for classifying images on the Fashion MNIST dataset 👗👚👖
artificial-intelligence data-analysis data-mining data-science dataset deep-learning fashion-mnist-dataset gridsearchcv hyperparameter-tuning kfold-cross-validation machine-learning multilayer-perceptron-network neural-network numpy pandas python sklearn
Last synced: 03 Apr 2026
https://github.com/01one/python-online-with-pyodide
Run and edit python code including matplotlib and numpy on the browser with pyodide and codemirror
matplotlib-python numpy pyodide python-browser python-online python-online-compiler
Last synced: 29 Mar 2025
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
Last synced: 27 Apr 2026
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/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/jha2001/movie-recommender-system
machine-learning nltk numpy pandas pickle scikit-learn streamlit
Last synced: 05 Mar 2025
https://github.com/abrahamkoloboe27/fruits-recognition-streamlit-app
🍎 Fruits Classification App (Streamlit) 🍌
convolutional-neural-networks deep-learning image-classification image-processing keras logging machine-learning machine-learning-engineering mlops numpy pandas plotly prototype python streamlit streamlit-application tensorflow
Last synced: 08 Apr 2026
https://github.com/abdur-rahim-mygit/ml-movie-recommendation-system
This project is a Machine Learning-based Movie Recommendation System developed during my internship at YBI Foundation. The system uses collaborative filtering techniques to recommend movies based on user preferences and behavior. It was implemented on Google Colab using Python and popular machine learning libraries.
google-colab machinelearning movie-recomendation-system numpy pandas pyhton
Last synced: 02 Feb 2026
https://github.com/mrnust/ai-powered-socialmediapostoptimizer_llm
AI-Powered Social Media Post Optimizer enhances your social media content by optimizing text posts with relevant tags and keywords, predicting engagement metrics, and analyzing image quality. Upload your post and image to receive tailored suggestions for improving engagement and visual appeal.
groq langchain large-language-model llama-3-70b matplotlib numpy opencv streamlit textblob
Last synced: 14 Apr 2026
https://github.com/mikhailkhorokhorin/the-loop
Student project of team "полетики-самолетики"
3dsmax krpc ksp math matplotlib numpy python
Last synced: 20 May 2026
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/jezbravo/lstm
Stock predictions with LSTM
jupiter-notebook keras keras-neural-networks keras-tensorflow lstm lstm-model lstm-neural-networks machine-learning matplotlib numpy pandas pandas-dataframe python scikit-learn scikitlearn-machine-learning stock-price-prediction
Last synced: 08 Apr 2026
https://github.com/dmarks84/coursework_project_ml-classifier-eval-selection
Project for University of Michigan Applied Data Science Specialization -- Predicted viewer engagement based on features related to video metrics; evaluated a large set of classifiers under different scoring metrics to select the "optimal" one.
classification cross-validation data-modeling data-reporting data-visualization databases dataframes eda grid-search matplotlib numpy pandas python scikit-learn statistics supervised-ml
Last synced: 02 Apr 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
Last synced: 08 Apr 2026
https://github.com/andriikot/smartmatch
Smart Match with python
docker faiss huggingface numpy ptyhon pythorch
Last synced: 04 Apr 2026
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
Last synced: 17 Jul 2025
https://github.com/matheusotenio/oficina-python
https://oficina-python.streamlit.app/
matplotlib numpy python streamlit
Last synced: 27 Jun 2025
https://github.com/athiyaman-m/brain-tumor-classification-using-deep-learning
• This deep learning model is developed to classify and identify different types of brain tumors, as well as determine their existence, using Convolutional Neural Networks. This is achieved through the training and testing of 3264 MRI images.
keras numpy opencv pandas sklearn tensorflow
Last synced: 08 Apr 2026
https://github.com/dulajkavinda/diabetes-detection
💊detect diabetes using machine learing
added machinelearning numpy pandas python scikit
Last synced: 14 Sep 2025
https://github.com/fikri-rouzan/energy-consumption-prediction
Final Project for the AI/ML Weekly Class by Google Developer Group on Campus (GDGoC) UIN Jakarta.
jupyter-notebook matplotlib numpy pandas python scikit-learn scipy seaborn
Last synced: 07 Apr 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/rajatnai49/data-science-practices
In this, I am adding all the Python exercises with the solutions related to data handling, analysis, and visualization using libraries such as NumPy, Pandas, and Matplotlib for data analysis and visualization.
jupyter-notebook matplotlib numpy pandas python
Last synced: 09 Apr 2026
https://github.com/jpcadena/pharmacy-prices-prediction
Prices prediction project for Pharmacy products.
artificial-intelligence data-analysis data-science deep-learning keras machine-learning machine-learning-models neural-network numpy pandas pharmacy prediction price-prediction pylint python scikit-learn supervised-learning tensorflow
Last synced: 07 Apr 2026
https://github.com/muhdhammad/machine-learning
Crafted for hands-on learning and implementation of ML with scikit-learn
data-science jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 07 Apr 2026
https://github.com/shweta189/sms-spam-detection
Detecting Spam SMS's messages using machine learning algorithms.Utilizing NLP techniques such as tf-idf vectorization and machine learning algorithms like naive bayes and logistic regression for classifications. Integrated with Streamlit to create an interactive web app where users can input a message and instantly check if it's spam or not.
eda machine-learning-models nltk numpy pandas plotly python seaborn streamlit
Last synced: 07 Apr 2026
https://github.com/claby2/mouse-track
Track, display, and graph the position of a mouse cursor.
c cpp matplotlib numpy python sdl2 windows
Last synced: 12 Apr 2026
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
Last synced: 27 Jun 2025
https://github.com/baschin1103/principal_component_analysis
In this repository you find a python program and the prints and 3D-visualization of it. After the KNN-Classification I wanted to know which variables have the most relevance for the results. One approach for this is the Principal-Component-Analysis (PCA). More details in the python program as comments.
3d-printing labelencoder matplotlib numpy pandas principal-component-analysis sklearn-library sqlalchemy standardization variable-importance
Last synced: 13 May 2026
https://github.com/shubh-bharadwaj/zomato-dataset-analysis
Zomato Dataset Analysis
data-analysis data-science data-visualization numpy pandas python sklearn
Last synced: 07 Apr 2026
https://github.com/manshreet27/mrs
This Movie Recommendation System is a web-based application built using Python and Streamlit, designed to provide movie recommendations based on user preferences. It utilizes TMDb API for fetching real-time movie details and Kaggle's TMDB 5000 Movies dataset for content-based filtering.
numpy pandas python scikit-learn streamlit tmdb-5000-movies-dataset-from-kaggle tmdb-api-for-fetching-real-time-movie-data
Last synced: 07 Apr 2026
https://github.com/joeylemon/python-kmeans
an implementation of the K-means clustering algorithm in Python
k-means-clustering matplotlib ml numpy python
Last synced: 21 May 2026
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/shekharkram/project
A collection of data analytics projects showcasing skills in data cleaning, exploration, visualization, and basic SQL queries. Designed to demonstrate entry-level data analyst competencies using real-world datasets and tools.
datacleaning excel jupyter-notebook mysql numpy pandas postgresql python sql
Last synced: 07 Apr 2026
https://github.com/pramodyasahan/titanic-survival
This repository contains a machine learning project focused on predicting the survival of passengers on the Titanic. The project uses a Support Vector Regression (SVR) model from the sklearn library and involves data preprocessing and prediction.
data-preprocessing matplotlib numpy pandas python scikit-learn support-vector-regression
Last synced: 08 Apr 2026
https://github.com/samir-atra/license-plate-recognition
License plate recognition system
imageai-library knn lpr numpy object-detection opencv python tensorflow tensorflow-tutorials
Last synced: 03 May 2026
https://github.com/vivekmodak3/multiple-disease-prediction-system--streamlit-webapp
This repository contains the codebase for "Multiple Disease Prediction Streamlit App". The training notebooks & the datasets are also provided in the respective folders.
machine-learning-algorithms numpy pandas python3 scikitlearn-machine-learning streamlit
Last synced: 07 Apr 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/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/kumpatlapavankumar/recognizing-flowers-with-convolutional-neural-networks
This project uses a Convolutional Neural Network (CNN) to classify flower images into five categories: Daisy, Dandelion, Rose, Sunflower, and Tulip. The model is trained on the Flowers Recognition dataset with image augmentation techniques to enhance generalization.
cnn-keras coding data-science deep-learning enjoying flower-classification machine-learning numpy opencv2 pandas pathlib pillow python tensorflow testing training
Last synced: 08 Apr 2026
