Machine Learning / Deep Learning - The Getting Started Workshop copy copy copy

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.

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Day 1 - Introduction to Machine Learning

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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 Corelation
• Feature engineering
• Feature Bucketization
• 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

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Day 2 - Introduction to Deep Learning

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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 

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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 in working condition
• Your Personal Hotspot / Mobile Hotspot Device for Connecting to the Internet
• A 4GB Pendrive( A Fallback arrangement )
• A Valid Government ID Card

 Laptop Specs

 OS: Linux / Windows / Mac - [64 Bit Versions]

RAM: 4GB [Minimum]
Processor: Dual Core [Minimum]
Free Disk Space: 4GB [Minimum]

About Me

 

 

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!