kebab-kun Goto Github PK
Name: Mehmet Taha Apak
Type: User
Name: Mehmet Taha Apak
Type: User
The goal of this data science project is to build a machine learning model that predicts whether a customer of an audiobook app will make another purchase or not. The data includes information about the customer's past purchases, demographics, and engagement with the app.
This project aims to develop a machine learning model using different datasets dynamically and with minimal code repetition. It includes data preprocessing, model selection and evaluation, as well as the Streamlit web application for interactive exploration.
This data science project aims to identify factors contributing to excessive absenteeism in the workplace using an absenteeism dataset. The goal is to develop a predictive model that can accurately identify employees at risk of excessive absenteeism with logistic regression ML model.
Online Food Ordering System Project Management school project. Feasibility analysis, functional and non-functional requirements, use case and stories defined. Activity and Sequence diagrams plotted. Overall we estimated whether project is applicable in real world.
PySpark House Price Prediction features a PySpark-based Linear Regression model for predicting median house prices. It showcases data preprocessing, model training, and evaluation, yielding an RMSE of around 0.11. The code offers insights into building robust predictive models using PySpark.
The readers-writers problem is used to manage synchronization so that there are no problems with the object data. Deadlock solver with no starvation used semaphore and mutex and threads.
Sector based classification with feature engineering and tsfresh. Looking 3 months momentum of stocks.
This project implements a Snake game reinforcement learning model using Deep Q-Networks with the PyTorch library in Python. The model uses a neural network to predict the optimal action-value function, which maps the state of the game to the expected future rewards for each possible action.
Turn based card game playable on console as text school project. Cards and the game mechanism inspired from Magic the Gathering game. Whole code is in single file and no external libraries required nor used.
This is a c++ application that reads and counts unique words used in documents and sorts it by top 10 frequent used words. No explicit library used for parsing. Hashtable and selection sort used.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.