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Data Science

In God we trust. All others must bring data.

Discover Machine Learning, Data Analyst, and Virtualization here!

Join Us Data Science Paper Summary

What do we do?

Some of our programs and our schedule

Data Science lab encircles these fields/subjects:

  • • Data Analysis
  • • Machine Learning and Deep Learning
  • • Data Representation
  • • Everything about data

Meetings: on Wednesday at 10 am!

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  • "I believe that at the end of the century the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted.”

    Alan Turing

Team is here!

Team Member
Ahmet Hamza
Emra
Lab Leader
Team Member
M. Bedir
Tapkan
Member
Team Member
Inamullah
Rasuna
Member
Team Member
Michael
M.Meskhi
Member
  • All
  • Machine Learning
  • Deep Learning
  • Python Language
  • R Language
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Machine Learning Yearning!

Written by Ahmet Hamza Emra

Notes and tips for deep learning from Machine Learning Lagend Andrew Ng's Hand book!

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Classification with Naive Bayes

Written by Enes Kemal

We will learn the principles of probabilistic learning with naive bayes algorithm. Like weather forecasters, naive bayes use past data to predict future data.

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Classification with Neares Neighbors

Written by Enes Kemal

Nearest neighbor classifiers are defined by their characteristic of classifying unlabeled examples by assigning them the class of the most similar labeled examples.

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Introduction to NumPy Library

Written by Enes Kemal

Here is my NumPy library notes studied and summarized from various sources, you can see the sources at the very end of the post.

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Neural Network Basics

Written by Enes Kemal

Hello all today I will start deep learning series by starting with the Neural Networks Basics. Understanding of neural networks is the key to deep learning.

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Comprehensive Tensorflow Tutorial

Written by Enes Kemal

In this comprehensive tutorial, I tried to write everything explicitly as I understood from the Nathan Lintz’s tutorial on github. I hope this finds you well and you get valuable knowledge out of it.

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