Introduction to python and machine learning

سرفصل های دوره

The road to python mastery

1. Introduction

1. Introduction to python

2. SETTING UP PYTHON

1. Installing anaconda distribution and python

2. Introduction to jupyter notebook and google colab

3. Fundamentals of python

1. Data types in python

2. Operators in python

3. Conditionals

4. loops

5. Lists ,Tuples , Dictionaries and sets

6. Data types, operators and methods

7. Modules in python

8. Functions in python

9. EXERCISE 1

10. EXERCISE 1 SOLUTION

4. Object Oriented Programming

1. Logic of OOP

2. Constructor

3. Methods

4. Inheritance

5. Overriding and Overloading

5. Numpy library

1. What is Numpy

2. Array and Features

3. Why use Numpy

4. Array Operators

5. Numpy functions

6. Indexing and slicing

7. NUMPY EXERCISE

8. Using numpy in linear algebra

9. NUM EPR guide

6. Machine Learning

1. Introduction to AI. Machine Learning and Deep Learning

2. History of Machine Learning

3. Turing Machine and Turing Test

4. Introduction to deep Learning

5. Learning Representations

6. WORKFLOW

7. Machine learning methods

8. Supervised machine learning methods

9. Supervised machine learning methods 2

10. Supervised machine learning methods 3

11. Supervised machine learning methods 4

12. Unsupervised machine learning

13. Gathering data

14. Data pre-processing

15. Choosing the right algorithm and model

16. Training and testing the model

17. Evaluation

7. Artificial Neutral Network

1. Introduction to ANN

2. Anatomy of Neutral Network

3. Creating a simple ANN

4. Tensor Operations

5. Tensor Operations 2

6. Keras API

7. Optimizers

8. Tensor flow

8. CONVOLUTIONARY Neutral Network

1. What is CNN

9. RNN AND LSTM

1. What is RNN AND LSTM

10. Transfer Learning

1. What is transfer learning

11. Projects and Exercises

1. 1

2. 2

3. 3

4. 4

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تولید کننده: Udemy-Training