MACHINE LEARNING WITH APPLICATION TO OBJECT RECOGNITION

= Course Details =

{| class="wikitable sortable"
!Course Code !!L !!T !!P !!C
|-
| SB8007 || 1 || 0 || 2 || 2
|}

== COURSE OBJECTIVE ==

The objective of this course is to provide a view of data science, recognize why data science is gaining importance in today’s business world to comprehend where data science can be applied across industry domains to understand major components of data science stack to learn how a data science project is implemented step-by-step in each business use-case

== Pre-requisite courses ==
{| class="wikitable sortable"
!Pre-requisite Knowledge !!Courses Available on Springboard
|-
|Probability and Statistics || Probability and Statistics<br>Probabilty distribution using Python<br>Statistical Interence using Python
|-
|Python Programming Language || Programming Fundamentals using Python - Part 1
|-
|Linear Algebra	|| Basics of Linear Algebra
|-
|Regression Analysis || Regression Analysis
|-
|Deep Learning || Deep Learning for Developers
|-
|Exploratory Data Analysis || Exploratory data analysis
|}

== SYLLABUS ==

=== UNIT I - INTRODUCTION TO AI AND DATA SCIENCE ===

Why AI? - What is AI? - AI in Practice - AI in Business - AI Platforms. Data Science: The Data Revolution - Components of Data Science - Data Science in Action – Conclusion.

=== UNIT II - PYTHON FOR DATA SCIENCE ===

Why Python Libraries – NumPy - Introduction to NumPy - Operations on NumPy – Pandas – Introduction to Pandas – Introduction to Pandas Object – Working with datasets – Pandas Plots - Matplotlib – Introduction to Matplotlib – Types of Plots – Scikit-learn – Machine Learning using sklearn. [Practical hands-on exercises using NumPy, Pandas, Matplotlib]

=== UNIT III - DATA VISUALIZATION USING PYTHON ===

Data visualization using Python: Data Visualization: Developing insights from data using Basic Plots using Matplotlib (Box, Scatter, Line, Bar, Pie, Histogram), Statistical analysis using Heatmap, Kernel Density plot using Seaborn, Network Graphs, Choropleth Map Using Ploty, Word Cloud. [Practical hands-on exercises for creating charts]

=== UNIT IV - EXPLORE MACHINE LEARNING USING PYTHON

Introduction to Machine Learning - Regression – Classification – Clustering – Introduction to Artificial Neural Network. [Hands-on Exercises for Practicing Machine Learning Models Using Capstone Project]

=== UNIT V - OBJECT DETECTION AND RECOGNITION USING DEEP LEARNING IN OPENCV ===

Basic Operations and Algorithms in OpenCV - Object Detection and Recognition Using Features - Deep Learning in OpenCV - Object Classification Using Deep Learning, Recognizing Text in an Image.

'''TOTAL : 45 PERIODS'''
 
== SUGGESTED ACTIVITIES ==
*Continuous / Self-Assessment (MCQ)
*Capstone Project - Build a ML model using a sample image dataset, to detect or identify specific features in sample image such as mask on human face etc.,

== SUGGESTED EVALUATION METHODS ==

*Video Proctored Exam
*Self-Assessment

== COURSE OUTCOMES ==

On completion of the course, students will be able to:<br>
'''CO1 :'''Demonstrate fundamental understanding of the history of artificial intelligence (AI) and its foundations.<br>
'''CO2 :'''Apply basic principles of AI in solutions that require problem solving, inference, perception, knowledge representation, and learning.<br>
'''CO3 :'''Assess and select appropriate data analysis models for solving real-world problem.<br>
'''CO4 :'''Demonstrate the importance of data visualization, design, and use of visual components.<br>
'''CO5 :'''Demonstrate fundamental understanding of applications of machine learning for object recognition<br>

== REFERENCE(Course Material) ==
#[https://infyspringboard.onwingspan.com/web/en/app/toc/lex_8840337130015322000_shared/overview Introduction to AI]
#[https://infyspringboard.onwingspan.com/web/en/app/toc/lex_12666306402263577000_shared/overview Introduction to Data Science]
#[https://infyspringboard.onwingspan.com/web/en/app/toc/lex_auth_01333063698060902494_shared/overview Python for Data Science]
#[https://infyspringboard.onwingspan.com/web/en/app/toc/lex_auth_0126051913436938241455_shared/overview Data visualization using Python]
#[https://infyspringboard.onwingspan.com/web/en/app/toc/lex_auth_012600400790749184237_shared/overview Explore Machine Learning]
#[https://infyspringboard.onwingspan.com/web/en/app/toc/lex_auth_0130944396404162562520_shared/overview Object Detection and Recognition Using Deep Learning in OpenCV]

'''Mode of Training:''' Online (Self-Learning)<br>
'''Course Evaluation:''' Online Assessment<br>
'''Multiple Hybrid Branch of Students:''' Applicable for IT/CSE<br>
'''Internship/Placement Opportunities:''' [https://infytq.onwingspan.com/ Click Here]<br>
'''NOS Alignment:''' Yes, Infosys Industry Standard<br>
'''Train-the-Trainer:''' Faculty Enablement Program<br>
'''Commercials:''' Free of Cost<br>