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Introduction

0:00

Where should I be at this point

2:00

This week is linear regression correlation

4:20

We havent hit the web app

5:00

What will happen after 26 weeks

6:00

What to do after this course

6:45

AI for Beginners

8:00

GPT

9:00

Large Language Models

10:00

Next Steps

10:30

Azure Subscription

11:55

Playlists

13:10

Follow the curriculum

13:40

Notebook

14:40

Julia

15:30

Kevin

18:00

R

19:55

TidyVerse

20:40

Python vs R

21:05

Models

22:35

Machine Learning in Java

23:15

Watson Notebook

25:40

Library Overview

27:15

Solution Notebook

29:30

Reading the Data

30:00

Loading the Data

30:50

Cleaning the Data

32:10

Plots

34:00

pandas

34:35

day of year

35:00

what is correlation

37:00

correlation doesnt mean causation

39:15

removing outliers

41:25

Correlation function

44:00

Pvalue

45:20

Correlation values

46:50

Confusion matrices

47:10

Using different bits and pieces

47:50

Filtering out different types

49:30

Making predictions

50:15

Building a model

52:00

Mean Square Error

54:05

False Positives False Negatives

56:50

Plot a Line

58:15
05.18.23 | ML for Beginners Week 3 – Let’s work through Linear Regression
We kicked off week three of our Machine Learning for beginners learning cohort by sending you to a brand-new series of videos covering linear regression. In this session, we will be working through the content live, so you can dive deeper into your ML journey. Join us as we introduce linear regression and build a Jupyter Notebook to predict pumpkin prices using linear and polynomial regression. Missed the videos? Catch up at https://aka.ms/ml-beginners-videos. Bring your questions to this session or come chat with us on the Microsoft Python Discord server. Join at http://aka.ms/python-discord-invite if you haven’t joined already and ask your questions on the #machine-learning channel. [eventID:18911]

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