Udemy Complete 2020 Data Science & Machine Learning Bootcamp

(3 customer reviews)

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This is a complete course. Author deep dives into the concepts, that makes learning more fun. The instructor is exceptional, he touches all the angles all the corners of python programming in relation to machine learning with industry practical examples. To conclude, it’s a very good course for beginners.

Specification: Udemy Complete 2020 Data Science & Machine Learning Bootcamp

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Free Trial (in days)

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What will you learn?

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Suggested hours/week

Programming Language Used

Tools

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Modules

1. Introduction to the Course – What is machine learning & datascience.
2. Predict Movie box-office revenue with linear regression.
3. Python programming for data science and machine learning.
4. Introduction to optimisation and gradient descent algorithm.
5. Predict house prices with multi variable linear regression.
6. Pre-process text data for Naive Bayes Classifier to filter spam emails.
7. Train a Naive Bayes Classifier to create spam filter.
8. Test and Evaluate a Naive Bayes Classifier.
9. Introduction to Neural Networks and How to use Pre-trained Models.
10. Build an artificial neural neural network to recognise images using Keras and Tensorflow.
11. Use Tensorflow to clasify Handwitten Digits.
12. Serving a Tensorflow model through a website.

Upon completion

University credits

Graded quizzes & assignments

Capstone Project

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Photos: Udemy Complete 2020 Data Science & Machine Learning Bootcamp

3 reviews for Udemy Complete 2020 Data Science & Machine Learning Bootcamp

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  1. Kurt Eulau

    Philipp is great at simplifying complex topics into bite-sized chunks. The curriculum based on projects motivates learners to explore and lends a useful context to the skills being learned.

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  2. Craig Dawson

    A lot of it just feels like watching someone work, as they give you hundreds of obscure concepts, bouncing between high level and really in the weeds. Most of the time I am replicating code, with little comprehension of how I would do this in real life, not understanding WHY, HOW, or WHAT I am doing. It’s fine I guess, it’s a complicated subject.

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  3. Chris Sadlak

    I would like a little more theory of machine learning and the math behind it instead of tutorials of python, javascript, and related tools.

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    Expert Score 9
    Course Content
    9
    Learning Experience
    9.5
    Course Price
    9.5
    Credibility
    8.5
    Flexibility
    10
    PROS:
    • The instructor is good at explaining his stuff.
    • Really interesting course. Very hands-on. Good balance between theory and practice!
    • Amazing approach, illustration and step by step explanation!
    • Very practical and the example projects are very interesting.
    • The explanation of various concepts with illustrations is amazing.
    CONS:
    • THERE IS NO ONE TO HELP YOU IN THE Q&A section.
    • It is suggested to have easier but more frequent exercises.
    • Really hard to understand the Math. The logic is also quite unclear.
    • Need more advanced topics.
    Udemy Complete 2020 Data Science & Machine Learning Bootcamp
    Udemy Complete 2020 Data Science & Machine Learning Bootcamp
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