amruthvvkp / ai-playground

This repository contains various code snippets and projects that I created while learning AI concepts and techniques. It covers topics such as machine learning, computer vision, natural language processing, and more. This is my personal playground for experimenting with AI and improving my skills.

AI Playground

This repository contains various code snippets and projects that I created while learning AI concepts and techniques. It covers topics such as machine learning, computer vision, natural language processing, and more. This is my personal playground for experimenting with AI and improving my skills.

ai-playground's Issues

Clean Data Sets for Workshop 2

Clean data sets and perform data visualization. We can use Jupyter to clean data sets and use Power-BI to visualize. Perhaps a visualization with Python is worth approaching for.

Data Science Principles, Workshop 4, Activity 2 - Linear Regression

We will use the data in Appendix A to:

1. Create a scatter plot
2. Fit a best fit line
3. Discover the equation for the line
4. Check the regression and see if it is statistically significant
5. Predict what some one who score 60 in Test 1 will get in Test 2

Appendix A

Test 1	Test 2
40	52
60	65
30	28
70	68
66	68
55	57
57	65
50	43
50	70
62	68
63	67
63	63
62	70
55	61
52	57
67	72
64	65
43	45
48	60
82	84
66	54
62	66
51	53
40	40
33	40
55	56
61	68
67	75
75	78
72	74
54	57
53	58
84	86
42	50
61	63
74	78
55	54
45	56
52	67
58	60
55	50
81	83
55	55
63	72
63	66
75	74
72	78
50	54
62	63
64	68

Assignment for module 1

Module 1 assignment needs us to produce a demonstrable artifact. This artifact can be a simple program, a script, a document, or a set of documents. The artifact should be something that you can show to others and that demonstrates your understanding of the material in module 1.