Scikit-Learn Course – Machine Learning in Python Tutorial


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Scikit-learn is a free software program machine learning library for the Python programming language. Learn about machine learning utilizing scikit-study in this full course.

💻 Code: https://github.com/DL-Academy/MachineLearningSKLearn
🔗 Scikit-learn web site: https://scikit-study.org
✏️ Course from DL Academy. Check out their YouTube channel: https://www.youtube.com/channel/UCTgBlZ1fmNa87NUY1xvoxpg
🔗 View extra programs right here: https://thedlacademy.com/

⭐️ Course Contents ⭐️

Chapter 1 – Getting Started with Machine Learning
⌨️ (0:00) Introduction
⌨️ (0:22) Installing SKlearn
⌨️ (3:37) Plot a Graph
⌨️ (7:33) Features and Labels_1
⌨️ (11:45) Save and Open a Model

Chapter 2 – Taking a have a look at some machine learning algorithms
⌨️ (13:47) Classification
⌨️ (17:28) Train Test Split
⌨️ (25:31) What is KNN
⌨️ (33:48) KNN Example
⌨️ (43:54) SVM Explained
⌨️ (51:11) SVM Example
⌨️ (57:46) Linear regression
⌨️ (1:07:49) Logistic vs linear regression
⌨️ (1:23:12) Kmeans and the maths beind it
⌨️ (1:31:08) KMeans Example

Chapter 3 – Artificial Intelligence and the science behind It
⌨️ (1:42:02) Neural Network
⌨️ (1:56:03) Overfitting and Underfitting
⌨️ (2:03:05) Backpropagation
⌨️ (2:18:16) Cost Function and Gradient Descent
⌨️ (2:26:24) CNN
⌨️ (2:31:46) Handwritten Digits Recognizer

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Comment List

  • freeCodeCamp.org
    November 9, 2020

    It was a great pleasure working with freecodecamp to bring you this content!!! Freecodecamp is probably one of the best communities out there for aspiring programmers, if not the best!! If you liked this video, you'll love our YouTube content even more – TheDLAcademy

  • freeCodeCamp.org
    November 9, 2020

    Did not even finish the training, but I can already say that it is one of the clearest ML Course that there is so far. The audio delay really makes it weird though 😀

  • freeCodeCamp.org
    November 9, 2020

    hlo

  • freeCodeCamp.org
    November 9, 2020

    Thanks!! 1:14:00.. the logit function… I think it should separate y from 0 [instead of 1]. If you consider z= e^-y, z would go from inf to 0, crossing 1 at y=0. So when y is negative, z gets bigger and bigger, and logit function would tend to 0; when y is positive, z gets closer and closer to 0, and logit function would tend to 1

  • freeCodeCamp.org
    November 9, 2020

    his green was my blue 0_0

  • freeCodeCamp.org
    November 9, 2020

    At 55:10 i am getting
    ValueError: bad input shape (30, 4) ….but you didn't got the error … please help…..

  • freeCodeCamp.org
    November 9, 2020

    I know programming but when it comes to machine learning I can't understand, i read documentation example but don't get why and what is doing

  • freeCodeCamp.org
    November 9, 2020

    My hairs turned into white by setting the environment,

  • freeCodeCamp.org
    November 9, 2020

    36:36 Sir, what is difference between label enconder and mapping feature?

  • freeCodeCamp.org
    November 9, 2020

    26:41 Sir, how to describe in scatterplot form if more than 2 features

  • freeCodeCamp.org
    November 9, 2020

    I really appreciate the hard work this community had to do in order to make these awesome courses for freely available without even a single advertisement. Thank you very much freeCodeCamp.

  • freeCodeCamp.org
    November 9, 2020

    holaaa lindo video desearía que permanezcan haciendo este metarial¡¡¡!!! Voy a seguir mirando sus creaciones. Les mando un beso nos estamos viendo ❤️👍🏽

  • freeCodeCamp.org
    November 9, 2020

    Great video. Many thanks

  • freeCodeCamp.org
    November 9, 2020

    Thanks

  • freeCodeCamp.org
    November 9, 2020

    Thank you very much 🙂

  • freeCodeCamp.org
    November 9, 2020

    yo boiiii youreee godddd

  • freeCodeCamp.org
    November 9, 2020

    Merci 😊

  • freeCodeCamp.org
    November 9, 2020

    2h Abdul vin can Nd ah

  • freeCodeCamp.org
    November 9, 2020

    Free code camp is the best platform ever but you,,you are the worst lecturer ever😂😂..am in 15th min and i still don't know what am learning and you are there with a complete model(i donno what this is) which you are showing me how to save lol..no offense though..i just can't understand anything you are teaching.

  • freeCodeCamp.org
    November 9, 2020

    Why we should find transpose of X in linear regression??

  • freeCodeCamp.org
    November 9, 2020

    21

  • freeCodeCamp.org
    November 9, 2020

    Man the fact that you guys make these lessons and then upload them free for all is just very admirable. Grateful for Freecodecamps.

  • freeCodeCamp.org
    November 9, 2020

    The worst tutorial I have ever seen

  • freeCodeCamp.org
    November 9, 2020

    At 49:00, it gets more textual with little insights from the speaker and adds no value! Sorry to say, but this video just gives information rather than explaining the science and logic behind it

  • freeCodeCamp.org
    November 9, 2020

    Good content and helpful learn-by-coding approach. The sound quality could be better–I know a lot of programmers love their mechanical keyboards but it's hella distracting for tutorial purposes.

  • freeCodeCamp.org
    November 9, 2020

    So instead of using 'from sklearn.externals import joblib' use 'import joblib' directly as the former brings up few errors. 🙂 Otherwise I really liked this, great content.

  • freeCodeCamp.org
    November 9, 2020

    I'm about 36 minutes in and they are not using LabelEncoder() correctly. LabelEncoder converts to 0, 1, 2, etc. by alphabetical order. Using the car data, high will equal 0, low will equal 1, med will equal 2, and vhigh will equal 3. This does not make any sense

    Edit 1: For the SVM section, he has continuous features but he doesn't standardize them to a uniform scale. He should probably do that because it could skew the results

  • freeCodeCamp.org
    November 9, 2020

    Atrocious sound quality, sound is out of sync, your ability to explain something is also horrendous. You should be ashamed of these videos.

  • freeCodeCamp.org
    November 9, 2020

    Check out my tutorial on sklearn, I go over preprocessing, scaling the data, metrics using classification reports and confusion matrix and much more!

  • freeCodeCamp.org
    November 9, 2020

    a good tutorial as always, but pointer work was bad

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