yakupkaplan
Data Scientist with Operations Research Background and Industrial Engineering Experience
Germany
Pinned Repositories
Association-Rules
Method used to reveal product relationships from user purchases. It provides the opportunity to see the unity of products purchased according to a threshold value to be determined.
Covid-19-Detection-Using-X-Ray-Images
Computer vision project for prediction covid-19 by using x-ray images
Customer-Churn-Prediction-Model
Data-Science-Machine-Learning-Bootcamp-
Here you may find the studies that I've done during Data Science Machine Learning Bootcamp.
Diabetes-Prediction-Model
In this project we will try to predict if the person has diabetes has or not.
Home-Credit-Default-Risk
In this project we try to predict home credit default risk for clients. We try to predict, if the client will have payment difficulties or not.
House-Prices-Prediction-Model
Regression analysis is a statistical analysis technique that can be used to model relationships between a dependent and one or more independent ones. The implementation of a regression is used to describe relationships quantitatively or to predict values of the dependent variables. Here you may find the model to predict house prices.
IBM---Deep-Learning-and-Reinforcement-Learning
In this repo you can find my files of Deep Learning and Reinforcement Learning, which is one of IBM Machine Learning courses on coursera.
RFM-Analysis
RFM is a method used for analyzing customer value, creating customer segments. It is commonly used in database marketing and direct marketing and has received particular attention in retail and professional services industries.
Sign-Language-Classification
Computer vision project for classifying American sign language.
yakupkaplan's Repositories
yakupkaplan/Home-Credit-Default-Risk
In this project we try to predict home credit default risk for clients. We try to predict, if the client will have payment difficulties or not.
yakupkaplan/IBM---Deep-Learning-and-Reinforcement-Learning
In this repo you can find my files of Deep Learning and Reinforcement Learning, which is one of IBM Machine Learning courses on coursera.
yakupkaplan/Data-Science-Machine-Learning-Bootcamp-
Here you may find the studies that I've done during Data Science Machine Learning Bootcamp.
yakupkaplan/Covid-19-Detection-Using-X-Ray-Images
Computer vision project for prediction covid-19 by using x-ray images
yakupkaplan/Sign-Language-Classification
Computer vision project for classifying American sign language.
yakupkaplan/AutoTS
Automated Time Series Forecasting
yakupkaplan/code_snippets
yakupkaplan/codebasics_py
Repository to store sample python programs for python learning
yakupkaplan/customer_segmentation
An end-to-end project on customer segmentation
yakupkaplan/darts
A python library for user-friendly forecasting and anomaly detection on time series.
yakupkaplan/data-engineering-zoomcamp
Free Data Engineering course!
yakupkaplan/datatalksclub-mlops-zoomcamp
yakupkaplan/Deep-Learning-Materials
Notes for Deep Learning
yakupkaplan/dlaicourse
Notebooks for learning deep learning
yakupkaplan/dsbootcamp
yakupkaplan/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
yakupkaplan/hierarchicalforecast
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
yakupkaplan/IBM-Exploratory-Data-Analysis-for-Machine-Learning
In this repo you can find my files of Exploratory Data Analysis for Machine Learning, which is one of IBM Machine Learning courses on coursera.
yakupkaplan/metats
MetaTS | Time Series Forecasting using Meta Learning
yakupkaplan/mlbookcamp-code
The code from the Machine Learning Bookcamp book and a free course based on the book
yakupkaplan/mlforecast
Scalable machine 🤖 learning for time series forecasting.
yakupkaplan/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
yakupkaplan/nixtla
Automated ⚙️ time series forecasting.
yakupkaplan/sktime
A unified framework for machine learning with time series
yakupkaplan/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
yakupkaplan/tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
yakupkaplan/the-algorithm
Source code for Twitter's Recommendation Algorithm
yakupkaplan/the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
yakupkaplan/tsfeatures
Calculates various features from time series data. Python implementation of the R package tsfeatures.
yakupkaplan/tsfresh
Automatic extraction of relevant features from time series: