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Unlocking the Power of Machine Learning and AI in Python: A Comprehensive Exploration

SAT Score Range

5 sessions

+12

This series ended on February 4, 2024. All 1:1 and group chats related to this series are disabled 7 days after the last session.

About

In this series we will be delving into various topics when it comes to machine learning and how it can be utilized with Python. This series will require you to have a proficient knowledge of Python. While exposure to machine learning algorithms in coding is not a prerequisite to this series, it could prove somewhat useful. Expect to learn about various algorithms and apply it through a practical example which provides exercises to test your knowledge.

Tutored by

Deniz G 🇺🇸

Certified in 7 topics

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Hi! My name is Deniz and I am currently a senior in high school. I enjoy math, science, computer science, and engineering. I hope to learn and tutor those who need it!

Schedule

✋ ATTENDANCE POLICY

While attendance at each session is not necessary, I strongly encourage that you try to make each one because it might later prove useful in a future session. Please do message me in advance of a planned absence.

SESSION 1

13

Jan

SESSION 1

Artificial Intelligence

Artificial Intelligence

Sat 8:00 PM - 9:00 PM UTCJan 13, 8:00 PM - 9:00 PM UTC

Linear Regression
SESSION 2

20

Jan

SESSION 2

Artificial Intelligence

Artificial Intelligence

Sat 8:00 PM - 9:00 PM UTCJan 20, 8:00 PM - 9:00 PM UTC

Logistic Regression
SESSION 3

27

Jan

SESSION 3

Artificial Intelligence

Artificial Intelligence

Sat 8:00 PM - 9:00 PM UTCJan 27, 8:00 PM - 9:00 PM UTC

Sentiment Classification
SESSION 4

3

Feb

SESSION 4

Artificial Intelligence

Artificial Intelligence

Sat 8:00 PM - 9:00 PM UTCFeb 3, 8:00 PM - 9:00 PM UTC

Neural Networks
SESSION 5

4

Feb

SESSION 5

Review

Review

Sun 8:00 PM - 9:00 PM UTCFeb 4, 8:00 PM - 9:00 PM UTC

This session will serve as a brief summary of previous lessons and content. Please attend this session if you missed a previous meeting and would like to learn the missed material, while asking me any questions you might have.

Public Discussion

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Jan 13 - Feb 4

4 weeks

60 mins

/ session

SCHEDULE

Saturdays

8:00PM