Chapters
Introduction
Introduction
0:00
Introduction
0:00
Where should I be at this point
Where should I be at this point
2:00
This week is linear regression correlation
This week is linear regression correlation
4:20
We havent hit the web app
We havent hit the web app
5:00
What will happen after 26 weeks
What will happen after 26 weeks
6:00
What to do after this course
What to do after this course
6:45
AI for Beginners
AI for Beginners
8:00
AI for Beginners
8:00
GPT
GPT
9:00
GPT
9:00
Large Language Models
Large Language Models
10:00
Large Language Models
10:00
Next Steps
Next Steps
10:30
Next Steps
10:30
Azure Subscription
Azure Subscription
11:55
Azure Subscription
11:55
Playlists
Playlists
13:10
Playlists
13:10
Follow the curriculum
Follow the curriculum
13:40
Follow the curriculum
13:40
Notebook
Notebook
14:40
Notebook
14:40
Julia
Julia
15:30
Julia
15:30
Kevin
Kevin
18:00
Kevin
18:00
R
R
19:55
R
19:55
TidyVerse
TidyVerse
20:40
TidyVerse
20:40
Python vs R
Python vs R
21:05
Python vs R
21:05
Models
Models
22:35
Models
22:35
Machine Learning in Java
Machine Learning in Java
23:15
Machine Learning in Java
23:15
Watson Notebook
Watson Notebook
25:40
Watson Notebook
25:40
Library Overview
Library Overview
27:15
Library Overview
27:15
Solution Notebook
Solution Notebook
29:30
Solution Notebook
29:30
Reading the Data
Reading the Data
30:00
Reading the Data
30:00
Loading the Data
Loading the Data
30:50
Loading the Data
30:50
Cleaning the Data
Cleaning the Data
32:10
Cleaning the Data
32:10
Plots
Plots
34:00
Plots
34:00
pandas
pandas
34:35
pandas
34:35
day of year
day of year
35:00
day of year
35:00
what is correlation
what is correlation
37:00
what is correlation
37:00
correlation doesnt mean causation
correlation doesnt mean causation
39:15
removing outliers
removing outliers
41:25
removing outliers
41:25
Correlation function
Correlation function
44:00
Correlation function
44:00
Pvalue
Pvalue
45:20
Pvalue
45:20
Correlation values
Correlation values
46:50
Correlation values
46:50
Confusion matrices
Confusion matrices
47:10
Confusion matrices
47:10
Using different bits and pieces
Using different bits and pieces
47:50
Filtering out different types
Filtering out different types
49:30
Making predictions
Making predictions
50:15
Making predictions
50:15
Building a model
Building a model
52:00
Building a model
52:00
Mean Square Error
Mean Square Error
54:05
Mean Square Error
54:05
False Positives False Negatives
False Positives False Negatives
56:50
Plot a Line
Plot a Line
58:15
Plot a Line
58:15
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Microsoft Reactor
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