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Deep Dive into Machine Learning and AI with Python

SAT Score Range

6 sessions

+11

This series ended on August 19, 2023. 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

2

Aug

SESSION 1

Computer Science

Computer Science

Wed 7:00 PM - 8:00 PM UTCAug 2, 7:00 PM - 8:00 PM UTC

Linear Regression
SESSION 2

2

Aug

SESSION 2

Computer Science

Computer Science

Wed 11:00 PM - Thu, 12:00 AM UTCAug 2, 11:00 PM - Aug 3, 12:00 AM UTC

Linear Regression
SESSION 3

3

Aug

SESSION 3

Computer Science

Computer Science

Thu 7:00 PM - 8:00 PM UTCAug 3, 7:00 PM - 8:00 PM UTC

Logistic Regression
SESSION 4

10

Aug

SESSION 4

Computer Science

Computer Science

Thu 7:30 PM - 8:30 PM UTCAug 10, 7:30 PM - 8:30 PM UTC

Sentiment Classification
SESSION 5

18

Aug

SESSION 5

Computer Science

Computer Science

Fri 7:00 PM - 8:00 PM UTCAug 18, 7:00 PM - 8:00 PM UTC

Neural Networks
SESSION 6

19

Aug

SESSION 6

Review

Review

Sat 7:00 PM - 8:00 PM UTCAug 19, 7:00 PM - 8:00 PM UTC

This session will serve as a brief summary and review of linear/logistic regression for those who may have missed these sessions.

Public Discussion

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Aug 2 - Aug 19

3 weeks

60 mins

/ session