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Python : Machine Learning, Deep Learning, Pandas, Matplotlib

An introduction to deep learning with Python. Study Python 3 Programming, Machine Learning, Matplotlib, Seaborn, and Geoplotlib

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,
Among the Python instructors on Udemy are experts in everything from software development to data analysis, and they are known for providing students of all levels with effective, friendly instruction.

Not only can machine learning be used to predict text messages and recognize voice on smartphones. Learning about new industries and solving new problems is always being applied to machine learning. This course is designed to help anyone, including marketers, video (aff) game designers, and programmers, to use machine learning to improve their work.

I would like to welcome you to the “Python Programming: Machine Learning, Deep Learning | Python” course.

We will cover what Deep Learning is as well as how it works in this Python : Machine Learning, Deep Learning, Pandas, Matplotlib course.

Everyone who is interested in Machine Learning and Deep Learning concepts in Data Science can benefit from this course.

The first thing we will learn in this Python : Machine Learning, Deep Learning, Pandas, Matplotlib course is a few basic things about Python and Numpy. In our journey towards Deep Learning, we have taken these first steps. After that, we'll take a little trip through Python's history of Machine Learning. We are now approaching our next destination. In Python Programming, Machine Learning is used. This lesson introduces the basic notions of machine learning, the machine learning workflow from A-Z, models and algorithms, and what neural networks are. At that point, we reach our next destination. A neural network made of artificial neurons. As a result, our journey turns into an adventure.

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During this adventure we will enter the Keras world and then exit the Tensorflow world. After that, we will try to understand the concept of Convolutional Neural Networks. Nevertheless, our journey doesn't end there. Recurrent Neural Networks and Long Term Stochastic Models will follow. Those will be taken into consideration. Then we will discuss the concept of Transfer Learning. After arriving at our final destination, we will depart. During Python Bootcamp, students work on projects. The play garden we have. Our next step will be to construct some interesting machine learning models with the information we have gathered along the way.

This Python : Machine Learning, Deep Learning, Pandas, Matplotlib course covers deep learning from the very beginning and takes you all the way to its conclusion with examples.

Machine Learning models and algorithms, data gathering, preprocessing, training and testing the model, are part of the logic of Machine Learning.

We will learn about the various environments we can use to develop deep learning projects before we begin this course.

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
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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 (aff) 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 (aff) and Audio Production Quality

All our videos (aff) are created/produced as high-quality video (aff) and audio to provide you the best learning experience.

You will be,

  • Seeing clearly
  • Hearing clearly
  • Moving through the course without distractions

You'll also get:

  • Lifetime Access to The Course
  • Fast & Friendly Support in the Q&A section
  • 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”

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 (aff) 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
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Dive in now! See you in the course!

Who this course is for:

  • Anyone who has programming experience and wants to learn machine learning and deep learning.
  • Statisticians and mathematicians who want to learn machine learning and deep learning.
  • Tech geeks who curious with Machine Learning and Deep Learning concept.
  • Data analysts who want to learn machine learning and deep learning.
  • If you are one of these, you are in the right place. But please don't forget. You must know a little bit of coding and scripting.
  • Anyone who need a job transition

Created by Oak Academy
Last updated 7/2021
English
Size: 4.3 GB

Download Course
Souce: https://www.udemy.com/course/python-machine-learning-deep-learning-pandas-matplotlib/

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