Course curriculum

  • 1

    Introduction

  • 2

    Python Setup

  • 3

    Fundamentals of Python

    • 4 - Data Types in Python

    • 5 - Operators in Python

    • 6 - Conditionals

    • 7 - Loops

    • 8 - Lists, Tuples, Dictionaries and Sets

    • 9 - Data Type Operators and Methods

    • 10 - Modules in Python

    • 11 - Functions in Python

    • 12 - Exercise Analyse

    • 13 - Exercise Solution
  • 4

    Object Oriented Programming

    • 14 - Logic of OOP

    • 15 - Constructor

    • 16 - Methods

    • 17 - Inheritance

    • 18 - Overriding and Overloading
  • 5

    Numpy Library

    • 19 - What is Numpy

      ÜCRETSİZ ÖNİZLEME

    • 20 - Why Numpy

    • 21 - Array and Features

    • 22 - Array Operators

    • 23 - Numpy Functions

    • 24 - Indexing and Slicing

    • 25 - Numpy Exercises

    • 26 - Using Numpy in Linear Algebra

    • 27 - NumExpr Guide
  • 6

    Fundamentals of Machine Learning

    • 28 - AI, Machine Learning and Deep Learning

    • 29 - History of Machine Learning

    • 30 - Turing Machine and Turing Test

    • 31 - What is Deep Learning

      ÜCRETSİZ ÖNİZLEME

    • 32 - Learning Representetion from Data

    • 33 - Workflow of Machine Learning

    • 34 - Machine Learning Methods

    • 35 - Supervised Machine Learning Methods - 1

    • 36 - Supervised Machine Learning Methods - 2

    • 37 - Supervised Machine Learning Methods - 3

    • 38 - Supervised Machine Learning Methods - 4

    • 39 - Unsupervised Machine Learning Methods

    • 40 - Gathering Data

    • 41 - Data Pre-Processing

    • 42 - Choosing The Right Algorithm and Model

    • 43 - Training and testing the model

    • 44 - Evaluation
  • 7

    Artificial Neural Network

    • 45 - What is ANN

    • 46 - Anatomy of a neural network

    • 47 - Creating a Simple ANN

    • 48 - Tensor Operations - 1

    • 49 - Tensor Operations - 2

    • 50 - Keras API

    • 51 - Optimizers

    • 52 - What is Tensorflow
  • 8

    Convolutional Neural Network

    • 53 - What is CNN
  • 9

    Recurrent Neural Network and LTSM

    • 54 - Understanding RNN and LSTM Networks
  • 10

    Transfer Learning

    • 55 - What is Transfer Learning
  • 11

    Projects

    • 56 - Project - 1

    • 57 - Project - 2

    • 59 - Project - 4

    • 58 - Project - 3