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Enrichment • Series

Intro to Machine Learning (Let the machine work for us)

Md.Sadek Hossain A

Series Details

Sessions

Public Discussion

This series ended on September 18, 2021. All 1:1 and group chats related to this series are disabled 7 days after the last session.

Series Details

About

We'll go through each topic of machine learning, from python packages to linear regression. We will also try to do some advanced level machine learning techniques if possible. I will give some homework problems, and I hope everyone will go with them. Requirements: Base knowledge of Python and Precalculus

Tutor Qualifications

I am highly experienced in machine learning, where I am studying it for the last 3 years. I have done some graduate-level courses and worked on 5 machine learning research projects.

✋ ATTENDANCE POLICY

The attendance policy is flexible, but you may not understand the next topic if you miss the previous one.

Dates

September 7 - September 18

Learners

14 / 40

Total Sessions

7

About the Tutor

View Md.Sadek Hossain A's Profile

Upcoming Sessions

0

Past Sessions

7
7
Sep

Session 1

Orientation

This is our orientation session, where we will draw our course plan, and we meet everyone. We will have a total of 10-12 sessions.
9
Sep

Session 2

Computer Science

Class: 01 We will go with the NumPy python packages, and some basic math structures need for our machine learning course.
11
Sep

Session 3

Computer Science

Class: 02 We will go with the NumPy python packages part 02, and some basic math structures need for our machine learning course and we will solve some problems.

Session 4

Computer Science

Class: 03 We will go with the pandas Python package and the basics of this package needed for our machine learning.
13
Sep

Session 5

Computer Science

Class: 04 We will go with the Numpy stack, statistical and mathematical functions.
15
Sep

Session 6

Computer Science

Class: 04.2 We will go with the Numpy stack, statistical and mathematical functions. (Replay)
18
Sep

Session 7

Computer Science

We will be introducing the pythons' pandas package and its functions.

Public Discussion

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