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  • 👋 Hi, I’m @cigdemozen
  • 👀 I’m interested in bioinformatics, data science, ML, DL, AI.
  • 🌱 I’m currently learning genomics and transcriptomics data analysis by python and R languages. I teach online ipython.
  • 💞️ I’m looking for job as a data scientist or data analyst.
  • 📫 How to reach me, send me an issue.

Cigdem Ozen's Projects

fes icon fes

Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson

handling-missing-values icon handling-missing-values

This repository is on different types of data, types of missing values and how to handle missing value

handson-ml2 icon 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.

imputation-techniques icon imputation-techniques

Fast, efficient code to pull non-null categorical data out, encode it and impute nulls with KNN Impute from fancyimpute library

ipython icon ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

kubelabs icon kubelabs

Kubernetes - Beginners | Intermediate | Advanced

lazypredict icon lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

lucky_numbers_v1 icon lucky_numbers_v1

With this short python code, you can check your lotary or tombala number in any web page :) GOOD LUCK!

mdi icon mdi

Missing Data Imputation Python Library

ml_cheat_sheet icon ml_cheat_sheet

My notes and superstitions about common machine learning algorithms

modern_r_programlama icon modern_r_programlama

Bu Repo'da Udemy platformunda Mustafa Vahit Keskin tarafından verilen Modern R Programlama eğitiminin kodlarını bulabilirsiniz.

nglview icon nglview

Jupyter widget to interactively view molecular structures and trajectories

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