How-to-do Machine Learning! NO EXPERIENCE NECESSARY
SAT Score Range
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7 sessions
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MY
AK
RS
+51
This series ended on July 21, 2023. All 1:1 and group chats related to this series are disabled 7 days after the last session.
About
I will teach you machine learning that you can use to make a website, app, and more with some examples at the end!
First, I will teach from a noncoding perspective and cover databases and some tools that require no programming. Then we will move onto the most basic of lessons in coding with Python so that you learn about linear correlation, then I will give you some tools to learn other forms of machine learning!
Join if you are interested in games, ideas, knoweledge, and more!
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Schedule
✋ ATTENDANCE POLICY
Come to all the sessions you can and participate in classes you attend :)
SESSION 1
19
Jun
SESSION 1
Computer Science
Computer Science
Mon 8:00 PM - 9:00 PM UTCJun 19, 8:00 PM - 9:00 PM UTC
We'll play a https://skribbl.io/ game for some time, do a few ice breakers, then cover the concept of machine learning and its significance in various fields. We will look at some examples, and then learn about why we should learn machine learning. Mostly, let's get to know eachother!
SESSION 2
23
Jun
SESSION 2
Computer Science
Computer Science
Fri 8:00 PM - 9:00 PM UTCJun 23, 8:00 PM - 9:00 PM UTC
We'll play a trivia game on Blooket, then we will learn about the different types of machine learning algorithms: supervised, unsupervised, and reinforcement learning. We will cover what each type does, and the advantages and disadvantages.
SESSION 3
26
Jun
SESSION 3
Computer Science
Computer Science
Mon 8:00 PM - 9:00 PM UTCJun 26, 8:00 PM - 9:00 PM UTC
We will create a word cloud together first with slido. Then we will play around with google teachable machine to try and create our own machine learning models! If time permits, I will show you how to embed the model into a website.
SESSION 4
10
Jul
SESSION 4
Computer Science
Computer Science
Mon 8:00 PM - 9:00 PM UTCJul 10, 8:00 PM - 9:00 PM UTC
We'll play two truths and a lie, then we will take a look at data preprocessing. We will strat our first real bit of coding as well, as we will learn techniques for handling missing data, outliers, and categorical variables.
SESSION 5
14
Jul
SESSION 5
Computer Science
Computer Science
Fri 8:00 PM - 9:00 PM UTCJul 14, 8:00 PM - 9:00 PM UTC
We'll play a (tame!) game of would you rather, then we will learn about data visualization and some more coding. We'll learn about correlation and how that can influence how we start some basic linear regression using popular libraries like Scikit-learn.
SESSION 6
17
Jul
SESSION 6
Computer Science
Computer Science
Mon 8:00 PM - 9:00 PM UTCJul 17, 8:00 PM - 9:00 PM UTC
We'll play Emoji guess who to see how well we really know each other. Then we will take a deeper look at Kaggle and talk about what else you guys want to know.
SESSION 7
21
Jul
SESSION 7
Computer Science
Computer Science
Fri 8:00 PM - 9:00 PM UTCJul 21, 8:00 PM - 9:00 PM UTC
We'll play Emoji guess who to see how well we really know each other. Then we will take a deeper look at Kaggle and talk about what else you guys want to know.