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Computer Science • Series

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

Deniz G

Series Details

Sessions

Public Discussion

This series ended on November 12, 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, 5 on the exam), C++, and Python.

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

- Utilized Python to program a robot that competed and placed 3rd 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

September 30 - November 12

Learners

11 / 40

Total Sessions

5

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

5
30
Sep

Session 1

Computer Science

Linear Regression
7
Oct

Session 2

Computer Science

Logistic Regression
21
Oct

Session 3

Computer Science

Sentiment Classification
11
Nov

Session 4

Computer Science

Neural Networks
12
Nov

Session 5

Review

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

Please log in to see discussion on this series.