A 2 Days Hands-On Workshop on Getting Started with Machine Learning / Deep Learning
Deep Learning is the latest Mantra! Computers are getting Smarter and Automation is Taking Over! Soon everyone of us will be influenced by Machine Learning in one or the other way.
Keeping this in mind, We've Designed a Workshop to get you started working hands-on with Machine Learning / Deep Learning
You will be introduced to different concepts associated with Machine Learning. You will learn to work hands-on with basic Machine Learning problems. You will also gain working knowledge of Python programming language.
By the end of the workshop you would've gained a solid foundation on the basics of Machine Learning / Deep Learning with confidence required to take your journey further.
Day 1 - Introduction to Machine Learning
Introduction & Overview
Introduction to the Workshop & Scope
Machine Learning - The What, Why & Hows
Theoretical Overview of Machine Learning Systems
Supervised Learning & Unsupervised Learning
Installations & Preparations
Python Programming Essentials
Introduction to Python
Running Simple Python programs
Variables, Lists & Tuples
Conditional Statements & Loops
Pandas - The Essential Library for Data Preprocessing
Introduction to Pandas
Basic Pandas Operations
Data Manipulation with Pandas
Data Preprocessing- The Foundation of Machine Learning
Data Preprocessing Overview
Date Types - Real Values / Categorical
Handling Null Values
Encoding Categorical Values
Label Distribution & Class Imbalance
Feature Normalization / Standardisation
Classification - Building Your First Classification Model
Building a Classification Model
Exploring 3 Different Classification Algorithms(Logistic Regression, KNN & Naive Bayes)
Methods of Evaluating Classification Models
Day 2 - Introduction to Deep Learning
Going Deep - Introduction to Artificial Neural Networks
Whats a Perceptron?
Understanding Neural Networks
Understanding components & architecture of a Feed Forward Network
Building your First Artificial Neural Network
A Quick Introduction to Google Colab
Porting Our Code for Google Colab
Running our Artificial Neural Network on Google Colab
Going Deeper - Introduction to Convolutional Neural Networks
Understanding Convolution Operation
Architecture of a CNN
Building your First CNN
Fine Tuning your CNN for performance
Where is Deep Learning Now? - Exploring Advances in Deep Learning
Future Directions - Discussion on Post-Workshop Learning
Fees: 2999/- per person
The fee is a training fee and entitles you to attend the workshop. In addition, you will get a certificate. There is also a Simple Vegetarian Lunch Included - Provided to be of convenience rather than to cater to your taste buds. There are no other freebies. No T-shirts, No Stationary - Learning is our only objective :)
Who Can Attend This Workshop?
Anyone with basic programming knowledge, willingness to learn and a curiosity to ask questions can attend the workshop. No other qualifications required!
What Should I bring for the Workshop?
A Laptop with the following Specs
OS: Linux / Windows - [64 Bit Versions] RAM: 4GB [Minimum] Processor: Dual Core [Minimum] Free Disk Space: 4GB [Minimum]
I'm R.V. Prakash, Founder of Simple Labs. I'm the designer of this Workshop and I will be your instructor for this workshop. I love to teach. Over the last 20 years, I've seen/played with technology and have taught everything from Programming to Parasailing!