Distruptive technologies

1. DISCOVER . LEARN . EMPOWER
INSTITUTE - UIE
DEPARTMENT- ACADEMIC UNIT-III
(Engineering-UG Programs)
DISRUPTIVE TECHNOLOGIES-I (22ECH-102)
By:
Dr. Rajanish Kumar Kaushal
NOLOGIES-1

2. Disruptive Technology

3. DISRUPTIVE
TECHNOLOGIES-1
OBJECTIVE
&
LEARNING
OUTCOMES
OBJECTIVE
To develop an understanding of the building blocks of AI, Data
Science/Analytics, and Cloud Computing as presented in terms of intelligent
agents: search, knowledge representation, inference, logic, and learning.
CO No. TITLE
CO1 Recognise the characteristics of disruptive technologies and understand
building blocks of data science, artificial intelligence, and machine
learning.
CO2 Describe AI/ML algorithms and techniques to demonstrate its
applications.
CO3 Experiment with effective data visualizations, and explain how to work
with data through the entire data science process.
CO4 Analyse and evaluate solutions to address real time problems using
AI/ML for different applications.
CO5 Design, formulate and integrate in a team that can propose, a solution for
their selected domain.

4. Level-1/Unit-1
4
Sr. No. Experiment Name
Task 1 Explore data pre-processing packages and AIML
algorithms.
Task 2 Explore, visualize, transform and summarize input datasets
for building Classification/regression/prediction models.
Task 3 Understand supervised learning to train and develop
classifier models.
Task 4 Build a classification model by using different machine
learning algorithms.

6. 6

11. Experiment-1
Explore data pre-processing packages and AIML algorithms.

21. Working on CSV file (Exp-1B)

28. Data Visualization using Matplotlib
First:

29. Example-1

30. Example-2

31. Example-3 (bar plot)

32. Example-4

33. Example-5 (Horizontal bar plot)

34. Example-6 (scatter plot)

35. THANK YOU