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Computer Science • Series

Deep Dive into Machine Learning and AI with Python

Deniz G

Series Details

Sessions

Public Discussion

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.

Series Details

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.

Tutor Qualifications

-I have worked with Python for the past 3 years and have participated in two Python/AI & Machine Learning camps.

-I have also taken classes in school and learned Java (AP Computer Science A), C++, and Python.

-Completed a research paper using ML and statistical analysis with Python

-Currently using Python to program a robot that will compete in a national competition

-Worked in a professor's robotics lab, helping with coding and implementing machine learning algorithms

✋ 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.

Dates

August 2 - August 19

Learners

14 / 40

Total Sessions

6

About the Tutor

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!

View Deniz G's Profile

Upcoming Sessions

0

Past Sessions

6
2
Aug

Session 1

Computer Science

Linear Regression

Session 2

Computer Science

Linear Regression
3
Aug

Session 3

Computer Science

Logistic Regression
10
Aug

Session 4

Computer Science

Sentiment Classification
18
Aug

Session 5

Computer Science

Neural Networks
19
Aug

Session 6

Review

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

Public Discussion

Please log in to see discussion on this series.