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Student Developer

Tech Camp on

Python

and

Machine Learning

Date: TBA

Tech Camp Starting on

11:00 AM

Online Live Training

12+ hrs. of Hands-on Technology session

Attractive Prizes

Prizes to be won

Know More

Challenges to Compete

To test your mettle


About SDTC

SDTC is a platform dedicated to teach the young learners the application of Python in integration to Artificial Intelligence & Machine Learning.

Machine Learning and Al are all about putting data to good use to help make decisions for us and Python is one language that facilitates integration of data using the shorter learning curve.


Why Should you attend

  • Python is not just a beginner's programming language but it is also a great tool to build applications that can solve problems in today's constantly changing technological space.

  • Earn Certificates.

  • Opportunity to create an innovative solution.

  • Opportunity to win prizes.

Who should attend

Students from Class 9-12


Meet Our Expert Speakers

TBA


Meet Our Expert Mentors

Atul Bhardwaj

Atul has been awarded the RISING STAR Award by the HRD Ministry of India. He's the Lead Backend Developer of an application that's is India's first Non Profit app based on reverse model of Swiggy.

He is the Smart India Hackathon finalist with 7 certifications in fields like Data Science, Internet of things.

Rohan Mujoo

Rohan is an avid pythonista and loves to work on different up and coming technologies. He has won several hackathons and also been a finalist in Smart India Hackathon. In the past few years and has also worked on projects shortlisted for DRDO and Google Build for Digital India Bootcamp.

Other achievements of his include, being an active member of the MHRD innovation cell and also, showcasing his project in a science fair organised by Hon’ble Chief Minister Yogi Aditya Nath with Hon’ble President Ram Nath Kovind as Chief Guest at India International Science Festival.


Program Outline

Keynote on SDTC

Masterclass in Py

Data Structures & Functions

Checkpoint 1

Machine Learning Insight

Hack the Py Challenge

ML - Prediction & Validation

Application of ML

Checkpoint 2

Q&A

Ask Us Anything


Agenda

Day 1

TBA

11:00 am to 11:45 am (45 mins)

Masterclass in Python #1 (Recommended for Beginners)

Getting Started with the pre-requisites for Machine Learning

11:45 am to 12:30 pm (45 mins)

Masterclass in Python #2 (Recommended for Beginners)

Diving Deeper into the pre-requisites for Machine Learning

12:30 pm to 1:30 pm (60 mins)

Masterclass in Python #3

Data Structures and Functions

1:30 pm to 1:45 pm (15 mins)

Break

Informal QnA Sessions

1:45 pm to 2:45 pm (60 mins)

Getting Started with Machine Learning!

Introduction to Machine Learning

2:45 pm to 3:30 pm (45 mins)

Into the Data...

Data Pre-processing: The first step towards a successful ML model!

3:30 pm to 4:00 pm (30 mins)

Hack the Py Challenge

Day 2

TBA

11:00 am to 11:30 am (30 mins)

What is ML?

Machine Learning: What exactly happens under the hood?

11:30 am to 12:30 pm (60 mins)

Machine Learning Model

Introduction to Machine Learning Models and training our first model.

12:30 pm to 1:00 pm (30 mins)

Diving Deeper...

Prediction, Validation and Real-World Applications

1:00 pm to 1:15 pm (15 mins)

Break

Informal QnA Sessions

1:15 pm to 2:15 pm (60 mins)

Case Study

What is machine learning intuition? Diving into a hands-on Parallel Case study!

2:15 pm to 2:45 pm (30 mins)

Applications of ML

Getting Familiar with Online ML tools, and other fun applications of Machine Learning!

2:45 pm to 3:00 pm (15 mins)

A.U.A.

Ask Us Anything

Day 3

TBA

03:00 am to 05:00 am (2 Hrs)

Review Session


Prizes

₹ 1500

cash prize to
Hack the Py Winners

₹ 1000

cash prize to
Hack the Py Runner-up

₹ 200

worth Gift Vouchers to
Checkpoint Winners


Hack the py challenge

Implement One-Hot Encoding, Using Scikit learn on a dataset provided bt us. (Intermediate)
Write a program Find the mean, Median & Mode of data provided by us. (Beginner)
Write a menu driven program to implement distance formula, Section formula an 3 point collinearity check. (Beginner)
Any Competitive Programming question. (Intermediate)

Pre Requisites

General Requisites

A system with at least 5 to 10 GB of free space.

Python version 3.6+ installed on system

Jupyter notebook installed on System/Settings up a google collab Notebook.

Installing numpy, pandas and scikit learn. (matplotlib: optional)

Pre-requisites (Beginners)

Familiarity with accessing/downloading and installing softwares from internet.

Interest/Knowledgeble in Maths. (Coordinate system/Probability/Straight Lines)

Pre-requisites (Intermediate)

All the ones mentioned in Beginners+

Prior Knowledge about programming (Basic) (Preferably in C or Python)


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17th-18th October 2020

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FAQ

The event will be held on November 28-29, 2020

It will be a virtual event

Students from class 9-12 are eligible to register for the event.

Click on REGISTER NOW. Fill in the details. Make the payment of registration fee.

Once you have made the payment, you will get a link to the WhatsApp group shared on your screen. This is a confirmation that the registration is complete. Join the group.

Master Class 1 and 2 are optional. However Master Class 3 is Mandatory for all to attend along with the rest of the classes.

The certificates will be dispatched within 4 working days after the completion of the workshop.

There will be one follow up class on December 1st, 2020 between 3 pm- 6pm.


Partners

Knowledge Partner

Alpha Devs