yakupkaplan Goto Github PK

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.

autots

Automated Time Series Forecasting

awesome-feature-engineering

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

bidding-strategy---a-b-testing

code_snippets

codebasics_py

Repository to store sample python programs for python learning

covid-19-detection-using-x-ray-images

Computer vision project for prediction covid-19 by using x-ray images

credit-risk-prediction

customer-churn-prediction-model

customer-segmentation

In this project, we will first firstly implement RFM Analysis to group customers according to RFM metrics and then the same customers will be segmented by using K-Means and Hierarchical Clustering algortihms.

customer_segmentation

An end-to-end project on customer segmentation

darts

A python library for user-friendly forecasting and anomaly detection on time series.

data-engineering-zoomcamp

Free Data Engineering course!

data-science-machine-learning-bootcamp-

Here you may find the studies that I've done during Data Science Machine Learning Bootcamp.

datatalksclub-mlops-zoomcamp

deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc

deep-learning-materials

Notes for Deep Learning

diabetes-prediction-model

In this project we will try to predict if the person has diabetes has or not.

dlaicourse

Notebooks for learning deep learning

dsbootcamp

googlesentiment

Scrapes google search result headlines and analyzes sentiment.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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.

hello_git

hierarchicalforecast

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

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.

home_credit

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---data-analysis-with-python

In this repo you can find my files of Data Analysis with Python Course, which is one IBM Data Science courses on coursera.

ibm---data-science-methodolgy

In this repo you can find my files of Data Science Methodology Course, which is one IBM Data Science courses on coursera.