canerK

caner

coursera

data-science-complete-tutorial

Notebooks to learn data science - Videos https://www.edyoda.com/resources/videolisting/1416/

data-science-from-scratch

code for Data Science From Scratch book

datalab-samples

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

Federated-Learning-with-TensorFlow

Federated Learning with TensorFlow [Video], by Packt Publishing

Fundamentals-of-Deep-Learning-Book

Code companion to the O'Reilly "Fundamentals of Deep Learning" book

my-tensorFlow2.0-notes

in this directory I am publishing the notebooks as complementary of my medium articles

canerK/my-tensorFlow2.0-notes

in this directory I am publishing the notebooks as complementary of my medium articles

canerK/caner

canerK/coursera

canerK/data-science-complete-tutorial

Notebooks to learn data science - Videos https://www.edyoda.com/resources/videolisting/1416/

canerK/data-science-from-scratch

code for Data Science From Scratch book

canerK/deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

canerK/feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

canerK/Federated-Learning-with-TensorFlow

Federated Learning with TensorFlow [Video], by Packt Publishing

canerK/Fundamentals-of-Deep-Learning-Book

Code companion to the O'Reilly "Fundamentals of Deep Learning" book

canerK/gmaps

Google maps for Jupyter notebooks

canerK/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.

canerK/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.

canerK/introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

canerK/ML

canerK/My_Python_Notes_from-0_to_100

My_Python_Notes_0-100

canerK/Numpy

Data Science with Python 2nd Serial Numpy Arrays

canerK/Oreilly-Learning-TensorFlow

canerK/pandas

Useful Functions for data science

canerK/Principles-of-Machine-Learning-Python

Principles of Machine Learning Python

canerK/pyod

A Python Toolkit for Scalable Outlier Detection (Anomaly Detection)

canerK/PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

canerK/rest-api-playlist

Course files for the REST API tutorial series on The Net Ninja Youtube channel

canerK/seq2seq

Sequence to Sequence Learning with Keras

canerK/spark

Apache Spark

canerK/Spark-The-Definitive-Guide

Spark: The Definitive Guide's Code Repository

canerK/TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

canerK/TensorFlow-LiveLessons

"Deep Learning with TensorFlow" LiveLessons

canerK/test

Python_Notes

canerK/tf2_course

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

canerK/ThinkBayes2

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.