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Introduction to Machine Learning and A.I

SAT Score Range

•

3 sessions

•

+12

This series was cancelled on December 7, 2024. We're very sorry–you can explore more Computer Science series here. All 1:1 and group chats related to this series are disabled 7 days after the last session.

About

Dive into the world of Machine Learning with this hands-on tutoring series designed to equip you with the foundational skills and techniques to build models using Python. Whether you're a beginner or have some coding experience, this series will guide you through key concepts such as supervised and unsupervised learning, data preprocessing, model evaluation, and more. With Python as our tool of choice, you'll learn to implement algorithms like linear regression and neural networks. By the end, you’ll be able to confidently apply Machine Learning techniques to real-world problems and projects.

In this series, we'll be covering the following:
TensorFlow, Python, linear regression, variables, data analysis, data preprocessing, model evaluation, neural networks.

Before the start of the series, I reccomend taking a look at GoogleColab and Tensorflow below are the links:
https://colab.research.google.com/ https://www.tensorflow.org/.

For your success in this class, I highly recommend having some experience with Python! While we'll cover essential Python libraries and functions for machine learning, having a basic understanding of Python syntax, data structures, and object-oriented programming will help you follow along more smoothly and get the most out of this series. Don't worry if you're new—I'll provide plenty of guidance along the way!

Currently, there are only two sessions listed. More will be added soon.



Tutored by

Destiny J 🇺🇸

View Profile

I'm a dual-enrolled high school student with an avid interest in computer science and aviation. With a wide range of experience in Unity, C#, Python, and machine learning, I'm here to help out anyone with questions!

Schedule

✋ ATTENDANCE POLICY

To get the best understanding of the material, I encourage you to attend every session. Each lesson builds on concepts from the previous one, so consistent participation will help you stay on track and fully grasp the topics we cover. Your active engagement is key to mastering the fundamentals of machine learning with Python!

SESSION 1

9

Nov

SESSION 1

Artificial Intelligence

Artificial Intelligence

Sat 8:00 PM - 9:00 PM UTCNov 9, 8:00 PM - 9:00 PM UTC

Welcome! This will be an introductory session where we'll be talking about what's to come in the course, what machine learning is, how it works, and what tools we'll be using to develop models. We'll also be taking a look at our first dataset. This session is also the perfect time to ask any questions that you may have about the course or machine learning.
SESSION 2

14

Nov

SESSION 2

Other Topics

Other Topics

Thu 10:15 PM - 11:15 PM UTCNov 14, 10:15 PM - 11:15 PM UTC

This is a co-host meeting. Please do not register for this session.
SESSION 3

23

Nov

SESSION 3

Artificial Intelligence

Artificial Intelligence

Sat 8:00 PM - 9:00 PM UTCNov 23, 8:00 PM - 9:00 PM UTC

The basics of linear regression.

Public Discussion

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Nov 9 - Nov 23

3 weeks

60 mins

/ session

SCHEDULE

Saturdays

8:00PM