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- 85% Introduction to Machine Learning & Deep Learning in Python

[2020] Machine Learning and Deep Learning Bootcamp in Python

$14.99Track price

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8.4/10 (Our Score)
Product is rated as #170 in category Machine Learning

This course is about the fundamental concepts of machine learning, focusing on regression, SVM, decision trees and neural networks. These topics are getting very hot nowadays because these learning algorithms can be used in several fields from software engineering to investment banking. Learning algorithms can recognize patterns which can help detect cancer for example or we may construct algorithms that can have a very good guess about stock prices movement in the market. 

In each section we will talk about the theoretical background for all of these algorithms then we are going to implement these problems together. We will use Python with SkLearn, Keras and TensorFlow.

Machine Learning Algorithms: machine learning approaches are becoming more and more important even in 2020. In this course, you can learn about:

linear regression model

logistic regression model

k nearest neighbour classifier

naive Bayes classifier

support vector machines (SVMs)

random forest classifier

boosting algorithm

principle components analysis (PCA)

Machine Learning approaches in finance: how to use learning algorithms to predict stock prices

Computer Vision and Face Detection with OpenCV

Neural Networks: what are feed–forward neural networks and why are they useful

Deep Learning: feedforward neural networks and deep neural networks are the state–of–the–art approaches in artificial intelligence in 2020. So what are the topics you will learn in this course?

Instructor Details

Hi! My name is Balazs Holczer. I am from Budapest, Hungary. I am qualified as a physicist. At the moment I am working as a simulation engineer at a multinational company. I have been interested in algorithms and data structures and its implementations especially in Java since university. Later on I got acquainted with machine learning techniques, artificial intelligence, numerical methods and recipes such as solving differential equations, linear algebra, interpolation and extrapolation. These things may prove to be very very important in several fields: software engineering, research and development or investment banking. I have a special addiction to quantitative models such as the Black-Scholes model, or the Merton-model. Take a look at my website if you are interested in these topics!

Specification: [2020] Machine Learning and Deep Learning Bootcamp in Python

Duration

18.5 hours

Year

2020

Level

All

Certificate

Yes

Quizzes

No

10 reviews for [2020] Machine Learning and Deep Learning Bootcamp in Python

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  1. kyle yee

    Very easy to understand.

    Helpful(0) Unhelpful(0)You have already voted this
  2. Alialbaalbaki

    this course is amazing , I could understand everything about ML . I recommend highly this course to beginner .

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  3. Tenzin Nyima

    My friend Hamza recommended your learning videos to me and they are very good…thank you

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  4. Kirill Kalmykov

    Very exciting. You caught me form second video!

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  5. Sanjeev

    The pace of teaching is too fast

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  6. Saravanan Durai

    Yes super good

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  7. chakradhar reddy

    awesome theory+practical mix

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  8. Tae Young Lee

    very useful to understand basic machine learning

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  9. Neetu Agarwal

    video is fine….its repeititive though

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  10. Anieno Adeyemi

    I usually do not write reviews but i must commend this work. Well explained Linear regression, this is the best so far, I like his repetition approach, Just so to ensure it sticks With his approach to teaching, I really dont see a need to jot. Thanks for breaking this down

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    [2020] Machine Learning and Deep Learning Bootcamp in Python
    [2020] Machine Learning and Deep Learning Bootcamp in Python

    $14.99

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