Python Programming: Machine Learning, Deep Learning | Python

Short Description

Complete hands-on deep learning tutorial with Python. Learn Machine Learning Python, go from zero to hero in Python 3

What you’ll learn

• Fundamental stuff of Python and its library Numpy
• What is the AI, Machine Learning and Deep Learning
• History of Machine Learning
• Turing Machine and Turing Test
• The Logic of Machine Learning such as Machine Learning models and algorithms, Gathering data, Data pre-processing, Training and testing the model etc.
• What is Artificial Neural Network (ANN)
• Anatomy of NN
• Tensor Operations
• 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, I am here to help you apply machine learning to your work.
• The Engine of NN
• Keras
• Tensorflow
• Convolutional Neural Network
• Recurrent Neural Network and LTSM
• Transfer Learning
• 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.
• Python
• Machine Learning
• Deep Learning
• Machine Learning with Python
• Python Programming
• Deep Learning with Python

This course includes:

• 11 hours on-demand video
• 2 articles
• Full lifetime access
• Access on mobile and TV
• Certificate of completion

Requirements

• Coding skills are a plus
• Math skills will boost your understanding
• Be able to download and install all the free software and tools needed to practice
• A strong work ethic, willingness to learn and plenty of excitement about the back door of the digital world
• Just you, your computer and your ambition to get started now!

Description

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:

1. Fundamental stuff of Python and its library Numpy
2. What is the Artificial Intelligence (Ai), Machine Learning, and Deep Learning
3. History of Machine Learning
4. Turing Machine and Turing Test
5. The Logic of Machine Learning such as
   • Understanding the machine learning models
   • Machine Learning models and algorithms
   • Gathering data
   • Data pre-processing
   • Choosing the right algorithm and model
   • Training and testing the model
   • Evaluation
6. Artificial Neural Network with these topics
   • What is ANN
   • Anatomy of NN
   • Tensor Operations
   • The Engine of NN
   • Keras
   • Tensorflow
7. Convolutional Neural Network
8. Recurrent Neural Network and LTSM
9. Transfer Learning
10. Reinforcement Learning

Finally, we will make four different projects to reinforce what we have learned.