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datasciencenanodegree's Introduction

Data Science Nanodegree Program

In this repository I will share the most important ideas and concepts of Udacity Data Science Nanodegree Program .

Core Curriculum:

TERM 1

Part 1- Supervised Learning:

  • Summary: Linear Regression is the Bedrock to Supervised learning . we'll learn how it works additionally to other techniques like Decision Tree, Ensemble Methods and Super Vector Machines.
  • Keywords: Logistic Regression , Perceptron Aglorithm , Super Vector Machines, Decision Tree, Naive Bayes, Ensemble Methods ,Gradient Descent.

Part 2- Deep Learning:

  • Summary:
  • Keywords: ConvNet,Tensorflow , Tensorflow Dropout , K Fold Cross Validation , Deep Neural Networks.

Part 3- Unsupervised Learning:

  • Summary:
  • Keywords:

TERM 2

Part 1- Introduction to Data Science:

  • Summary:
  • Keywords:

Part 2- Software Engineering:

  • Summary:
  • Keywords: .

Part 3- Data Engineering:

  • Summary:
  • Keywords:

Part 3- Recommendation Engines:

  • Summary:
  • Keywords:

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