Python Programming: Machine Learning, Deep Learning | Python
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Hello there,
Python instructors on Udemy specialize in everything from software development to data analysis, and are known for their effective, friendly instruction for students of all levels.
Machine learning isn’t just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries and new problems. Whether you’re a marketer, video game designer, or programmer, this course is here to help you apply machine learning to your work.
Welcome to the “Python Programming: Machine Learning, Deep Learning | Python” course.
In this course, we will learn what is Deep Learning and how does it work.
This course has suitable for everybody who interested in Machine Learning and Deep Learning concepts in Data Science.
First of all, in this course, we will learn some fundamental stuff of Python and the Numpy library. These are our first steps in our Deep Learning journey. After then we take a little trip to Machine Learning Python history. Then we will arrive at our next stop. Machine Learning in Python Programming. Here we learn the machine learning concepts, machine learning a-z workflow, models and algorithms, and what is neural network concept. After then we arrive at our next stop. Artificial Neural network. And now our journey becomes an adventure. In this adventure we’ll enter the Keras world then we exit the Tensorflow world. Then we’ll try to understand the Convolutional Neural Network concept. But our journey won’t be over. Then we will arrive at Recurrent Neural Network and LTSM. We’ll take a look at them. After a while, we’ll trip to the Transfer Learning concept. And then we arrive at our final destination. Projects in Python Bootcamp. Our play garden. Here we’ll make some interesting machine learning models with the information we’ve learned along our journey.
In this course, we will start from the very beginning and go all the way to the end of “Deep Learning” with examples.
The Logic of Machine Learning such as Machine Learning models and algorithms, Gathering data, Data pre-processing, Training and testing the model etc.
Before we start this course, we will learn which environments we can be used for developing deep learning projects.
During the course you will learn:
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Fundamental stuff of Python and its library Numpy
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What is the Artificial Intelligence (Ai), Machine Learning, and Deep Learning
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History of Machine Learning
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Turing Machine and Turing Test
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The Logic of Machine Learning such as
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Understanding the machine learning models
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Machine Learning models and algorithms
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Gathering data
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Data pre-processing
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Choosing the right algorithm and model
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Training and testing the model
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Evaluation
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Artificial Neural Network with these topics
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What is ANN
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Anatomy of NN
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Tensor Operations
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The Engine of NN
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Keras
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Tensorflow
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Convolutional Neural Network
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Recurrent Neural Network and LTSM
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Transfer Learning
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Reinforcement Learning
Finally, we will make four different projects to reinforce what we have learned.
Why would you want to take this course?
Our answer is simple: The quality of teaching.
OAK Academy based in London is an online education company. OAK Academy gives education in the field of IT, Software, Design, development in English, Portuguese, Spanish, Turkish and a lot of different language on Udemy platform where it has over 1000 hours of video education lessons. OAK Academy both increase its education series number by publishing new courses, and it makes students aware of all the innovations of already published courses by upgrading.
When you enroll, you will feel the OAK Academy`s seasoned developers expertise. Questions sent by students to our instructors are answered by our instructors within 48 hours at the latest.
Video and Audio Production Quality
All our videos are created/produced as high-quality video and audio to provide you the best learning experience.
You will be,
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Seeing clearly
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Hearing clearly
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Moving through the course without distractions
You’ll also get:
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Lifetime Access to The Course
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Fast & Friendly Support in the Q&A section
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Udemy Certificate of Completion Ready for Download
We offer full support, answering any questions.
If you are ready to learn “Python Programming: Machine Learning, Deep Learning | Python”
Dive in now! See you in the course!
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1
Introduction to Deep Learning with PythonIn this video, we will talk about a general introduction to the Python Programming: Machine Learning, Deep Learning course. We will look at which topics will be taught.
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2
Project Files and Course DocumentsYou will find the project files of this deep learning with python course in this lecture
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5
Data Types in Python
In this lesson, we try to learn what are data types in Python, why we need to use It. Python instructors on Udemy specialize in everything from software development to data analysis, and are known for their effective, friendly instruction for students of all levels.
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6
Operators in Python
In this lesson, we try to learn operators in Python.
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7
Conditionals
In this lesson, we try to learn conditional statements concept in python programming and why we need to use it.
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8
Loops
In this lesson, we try to learn loops concept and why we need to use it.
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9
Lists, Tuples, Dictionaries and Sets
In this lesson, we try to learn Lists, Tuples, Dictionaries and Sets data types in Python. And also we will tak about the main differences between them
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10
Data Type Operators and Methods
In this lesson, we try to learn sequence operators and methods in Python and how to use it.
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11
Modules in Python
In this lesson, we try to learn what is module concept and why we need to use it.
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12
Functions in Python
In this lesson, we try to learn function concept and why we need to use it.
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13
Exercise Analyse
In this video, we try to do an exercise about python fundamentals and we analyse this exercise.
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14
Exercise Solution
In this video, we try to do exercise with you.
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15
Logic of OOP
In this lesson, we try to learn OOP concept in Python and why we need to use it.
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16
Constructor
In this lesson, we try to learn what is the constructors in Object Oriented Programming and why we need to use them. Also we try to learn how to use them.
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17
Methods
In this lesson, we try to learn some useful Methods in OOP and how to use them.
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18
Inheritance
In this lesson, we try to learn what is inheritance concept in OOP and why we need to use it. Also we try to learn how to use it.
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19
Overriding and Overloading
In this lesson, we try to learn what are overriding and overloading terms in OOP and what they do. Also we try to learn how to use them.
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20
Quiz
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21
What is Numpy?
In this lesson, we try to python numpy library and how to install it.
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22
Why Numpy?
In this lesson, we try to learn why we need numpy stack
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23
Array and features
In this lesson, we try to learn Numpy Array and its features.
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24
Array’s Operators
In this lesson, we try to learn Array operators and how to use them.
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25
Numpy Functions
In this lesson, we try to learn some useful Numpy functions
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26
Indexing and Slicing
In this lesson, we try to learn indexing and slicing in Numpy Array
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27
Numpy Exercises
In this video, we try to make some different numpy exercise and we try to use our knowledge.
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28
Using Numpy in Linear Algebra
In this lesson, we try to learn how can we use Numpy for Linear Algebra
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29
NumExpr Guide
In this lesson, we try to learn NumExpr and its advantages
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30
AI, Machine Learning and Deep Learning
In this lesson, we try to understand the artificial intelligence, machine learning a-z and deep learning terms. Machine learning isn’t just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries and new problems. Whether you’re a marketer, video game designer, or programmer, Udemy has a course to help you apply machine learning to your work.
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31
History of Machine Learning
In this lesson, we take a look to history of machine learning python
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32
Turing Machine and Turing Test
In this lesson, we try to understand what are Turing Machine and Turing Test and how they work
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33
What is Deep Learning
In this lesson, we try to learn what is deep learning
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34
Learning representations from data
In this lesson, we try to understand what is learning representations from data
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35
Workflow of Machine Learning
python machine learning: In this lesson, we try to understand machine learning workflow
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36
Machine Learning Methods
In this lesson, we try to examine machine learning methods
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37
Supervised Machine Learning Methods - 1
In this lesson, we try to examine supervised machine learning methods
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Supervised Machine Learning Methods - 2
In this lesson, we try to examine supervised machine learning methods
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Supervised Machine Learning Methods - 3
In this lesson, we try to examine supervised machine learning methods
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Supervised Machine Learning Methods - 4
In this lesson, we try to examine supervised machine learning methods
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41
Unsupervised Machine Learning Methods
In this lesson, we try to examine unsupervised machine learning methods
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42
Gathering data
In this lesson, we try to understand how can we gather data
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43
Data pre-processing
In this lesson, we try to understand what is data preprocessing
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44
Choosing the right algorithm and model
In this lesson, we try to understand how we can choose the right algorithm and model
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45
Training and testing the model
In this lesson, we try to learn what is training and testing the model
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46
Evaluation
In this lesson, we try to learn what is evaluation and how we do it
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47
Quiz
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48
What is Artificial Neural Network (ANN)?
In this lesson, we try to learn what is Artificial Neural Network
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49
Anatomy of Neural Network
In this lesson, we try to understand the anatomy of neural network
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50
Creating a Simple ANN
In this lesson, we try to create a simple neural network
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51
Tensor Operations
In this lesson, we try to learn tensor operations
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52
Tensor Operations 2
In this lesson, we continue to learn tensor operations
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53
Keras API
In this lesson, we try to understand Keras API
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54
Optimizers
In this lesson, we try to understand what is Optimizers and what they do
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55
What is TensorFlow
In this lesson, we try to learn what is Tensorflow
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Project - 1
deep learning a-z: In this lesson, we try to do a simple chatbot
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Project - 2
deep learning python: In this video, we try to do an image segmentation
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Project - 3
In this video, we try to do a movie recommendation algorithm
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Project - 4
In this video, we try to do a fake currency detection algorithm
