Lungi Boys: KujiliMasthu Challenge Predict IPL 2026 Winner with Data Science
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KujiliMasthu Challenge

Predict IPL 2026 Winner with Data Science

Predict IPL Winner, Orange Cap & Purple Cap Winner

Build & Deploy Resume-Ready Project

Meet & Interact with Your Favorite Influencer: Lungi Boys

Get Roadmap to Become a Data Scientist

*Limited Seats Available

KujiliMasthu Challenge

Predict IPL 2026 Winner with Data Science

Predict IPL Winner, Orange Cap & Purple Cap Winner

Build & Deploy Resume-Ready Project

Meet & Interact with Your Favorite Influencer: Lungi Boys

Get Roadmap to Become a Data Scientist

Build & Deploy Resume-Ready Project

Host free interactive AI workshops 

Champion India’s AI learning mission

*Limited Seats Available

Lungi Boys: KujiliMasthu Challenge

Predict IPL 2026 Winner with Data Science

Build & Deploy Resume-Ready Project

Get Roadmap to Become a Data Scientist

Meet & Interact with Your Favorite Influencer: Lungi Boys

Predict IPL Winner, Orange Cap & Purple Cap Winner

Build & Deploy Resume-Ready Project

Host free interactive AI workshops 

Champion India’s AI learning mission

*Limited Seats Available

WHO WILL GUIDE YOU?

Meet Unique Masterclass Panel

Official Recognition Certificate for College From MeitY x HCL GUVI

Certificate of Participation for All Participating Students From MeitY x HCL GUVI

Your College Name will be Mentioned in the Final Pre-Summit Report Submitted to MeitY

Boost College’s Branding Nationwide via HCL GUVI’s Digital Platforms & National Campaign

A real industry-grade project, built live during the session with the end point.

Think data science is hard? Join this session to build a project and see if it’s the right career for you.

The same project lifecycle Data Science teams follow at top product companies.

Understand how to break into DS roles in 2026 with a structured approach.

Get access to the full project codebase & dataset.

Receive masterclass certification alongside the recording access of the masterclass.

Post masterclass, get the opportunity to receive structured advice from HCL GUVI’s counsellors.

Get your doubts answered live from your favorite influencer & Industry Expert

WHO WILL GUIDE YOU?

Meet Unique Masterclass Panel

Raj Priyan & Harirajan 

Lungi Boys-Tamil Nadu’s Most Loved Creators

🔘 2.3M+ Followers
🔘 Special Hosts For This Masterclass
🔘 They’ll Make Learning Simple & Fun

Shabarinath Premlal

Senior Data Science Mentor - HCL GUVI

🔘 18+ Years of Experience of Building DS Systems
🔘 Trained 10,000+ Learners for Data Science & AI
🔘 Your Mentor For This Session

THIS ISN'T YOUR USUAL WEBINAR

Nothing Like This Exists!

Your favourite creator will actually teach you Data Science. Not just talk about it.

We're using the most talked-about tournament right now as a real DS project. By the end you'll have a deployed model that predicts who lifts the trophy.

Other webinars give you theory and a roadmap PDF. This session ends with a live deployed AI model, a GitHub repo, and a project for your resume, built by you.

Doing is believing. 3 hours of real work will tell you more about whether Data Science is your thing than any career blog or YouTube video ever could.

Your favourite creator, live in a classroom

Your favourite creator will actually teach you Data Science. Not just talkabout it.

IPL 2026: You build the predictor

Think data science is hard? Join this session to build a project and see if it’s the right career for you.

Hands-on, not another slide deck

Other webinars give you theory and a roadmap PDF. This session ends with a live deployed AI model, a GitHub repo, and a project for your resume, built by you.

Figure out if DS is for you

Doing is believing. 3 hours of real work will tell you more about whether Data Science is your thing than any career blog or YouTube video ever could.

WHAT YOU’LL LEAVE WITH?

The Most Feature Packed Masterclass

A real industry-grade project, built live during the session with the end point.

Build DS project using data science lifecycle process followed by every company.

Receive certification alongside the recording access of the masterclass.

Structured guide to break into DS career in 2026

Full project codebase & dataset to revisit anytime.

1-on-1 Resume review session with HCL GUVI’s senior counsellors

Get your doubts answered live from your favorite influencer & Industry Expert.

The same project lifecycle Data Science teams follow at top product companies.

A real industry-grade project, built live during the session with the end point.

Think data science is hard? Join this session to build a project and see if it’s the right career for you.

Understand how to break into DS roles in 2026 with a structured approach. 

Understand how to break into DS roles in 2026 with a structured approach.

Get access to the full project codebase & dataset.

The same project lifecycle Data Science teams follow at top product companies.

Get your doubts answered live from your favorite influencer & Industry Expert.

1-on-1 Resume review session with HCL GUVI’s senior counsellors

WHY DATA SCIENCE?

Data Science: The Best Career Bet

Average Annual Salary

10 - 30 LPA (Highlight this in the graph)

Source: Glassdoor

Data Science Jobs Are Growing 

Data Science is Among the top 5 Fastest Growing Occupations in the World

Source: US Bureau of Labor Statistics

1,48,000 Open Data Science Job Roles Today

In India right now, over the Naukri job-board 86,000 & on LinkedIn 42,000 open data science jobs are available.

WHY DATA SCIENCE?

Data Science: The Best Career Bet

Average Annual Salary 10 - 30  LPA

Source: Glassdoor

Data Science Jobs Are Growing 

Data Science is Among the top 5 Fastest Growing Occupations in the World

Source: US Bureau of Labor Statistics

1,48,000 Open Data Science Job Roles Today

In India right now, over the Naukri job-board 86,000 & on LinkedIn 42,000 open data science jobs are available.

Official Recognition Certificate for College From MeitY x HCL GUVI

Certificate of Participation for All Participating Students From MeitY x HCL GUVI

Your College Name will be Mentioned in the Final Pre-Summit Report Submitted to MeitY

Boost College’s Branding Nationwide via HCL GUVI’s Digital Platforms & National Campaign

WHY DATA SCIENCE?

This is For You If

Students & Young Graduates

You’re interested in a career in data science, but not sure where to start.

Freshers (0 - 1 Year Experience)

I want to get into data science, but feeling it’s tough, break that barrier in this session.

Tech Working Professional

Already working in IT, but want to break into an in demand DS role, this workshop gives you the pathway.

Non-Tech Working Professional

Struggling in a non-tech career, and looking for an IT career that pays well, explore data science and see if it’s your calling.

Individual Certifications

Total Learners

Total Mentors

Total Learners

Students & Young Graduates.

You’re interested in a career in data science, but not sure where to start.

Individual Certifications

Total Learners

Total Mentors

Total Learners

Freshers (0 - 1 Year Experience)

You’re interested in a career in data science, but not sure where to start.

Individual Certifications

Total Learners

Total Mentors

Total Learners

Tech Working Professional

I want to get into data science, but feeling it’s tough, break that barrier in this session.

Individual Certifications

Total Learners

Total Mentors

Total Learners

Non-Tech Working Professional

Struggling in a non-tech career, and looking for an IT career that pays well, explore data science and see if it’s your calling.

NOT A THEORETICAL MASTERCLASS

Explore What You’ll Build

Understanding Data & Data Preparation

Explore the IPL Dataset. Understand attributes. Do data cleaning & remove inconsistencies.

Exploratory Data Analytics

Understand & visualize relationship between different attributes

Building the Predictive Model

Understanding math behind ML Predictive model and implementing it live.

Deploy Model - Produce Live End-Point

You don’t stop at model training, we deploy it with Strimlit & produce the end-point.

Understanding Data & Data Preparation

Explore the IPL Dataset. Understand attributes. Do data cleaning & remove inconsistencies.

Exploratory Data Analytics

Understand & visualize relationship between different attributes

Building the Predictive Model

Understanding math behind ML Predictive model and implementing it live.

Deploy Model - Produce Live End-Point

You don’t stop at model training, we deploy it with Strimlit & produce the end-point.

MASTERCLASS CURRICULUM

Learn Skills that Industry Demands

Module 1 

Understanding Data Science
  • What is Data Science?
  • Difference Between DA vs DS vs AI
  • Tools Required for Data Science

Module 2 

First Taste of Data Science
  • How Data Science Solves Real-World Problems
  • Basics of Predictive Analytics

Module 3 

IPL Project Kickstart
  • Understanding IPL Dataset & Attributes
  • Data Cleaning & Preparation
  • Introduction to NumPy & Pandas

Module 4 

Exploratory Data Analysis (EDA)
  • Asking the Right Questions to Data
  • Visual Understanding of Data
  • Insights from IPL Data
  • Does Winning Toss Impact Match Results?

Module 5 

Feature Engineering & Model Building
  • Extracting Important Features
  • Building IPL Winner Prediction Model
  • Model Training, Validation & Testing

Module 6 

Model Deployment & Portfolio
  • Deploying Model Using Streamlit
  • Creating Portfolio-Ready Endpoints
  • Understanding End-to-End ML Workflow
INDUSTRY-RECOGNIZED CREDENTIAL

Credible Certification For Digital Portfolio

Industry-Recognized Credentials

Add credibility to your data science skills

Signal DS Skills to Recruiters

Place certification on your digital portfolio and signal you possess DS skills to recruiters.

Build Industry-Grade Project

Build an industry-grade project live and explore real data science workflow.

Industry-Recognized Credentials

Add credibility to your data science skills

Build Industry-Grade Project

Build an industry-grade project live and explore real data science workflow.

Build Industry-Grade Project

Build an industry-grade project live and explore real data science workflow.

MASTERCLASS FAQs

Frequently Asked Questions

Do I need coding experience?

No. The masterclass opens with plain-language explanations. If you can use a laptop, you can follow this session end to end.

Is this actually free?

Yes. The live session, GitHub repo, certificate, roadmap PDF, and resume assessment, all included at no cost.

What do I need to set up before?

A laptop with internet. We can work the programming part on Google colab so no additional setup is required. However, if you have a jupyter notebook setup locally, that would be good as well.

Will I get a recording?

All registered attendees get the recording access for masterclass. 

How is this different from other webinars?

Most webinars give you slides. This ends with a deployed model you built, a GitHub repo you own, and a resume project ready to go. Delivered by someone whose content you already trust.

Predict IPL 2026 Winner with Data Science
Predict IPL 2026 Winner with Data Science
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  • Albania(+355)
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  • Austria(+43)
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  • Barbados(+1 246)
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  • Bulgaria(+359)
  • Bahrain(+973)
  • Burundi(+257)
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  • Guadeloupe(+590)
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  • Kuwait(+965)
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  • Kazakhstan(+7)
  • Laos(+856)
  • Lebanon(+961)
  • St Lucia(+1 758)
  • Liechtenstein(+423)
  • Sri Lanka(+94)
  • Liberia(+231)
  • Lesotho(+266)
  • Lithuania(+370)
  • Luxembourg(+352)
  • Latvia(+371)
  • Libya(+218)
  • Morocco(+212)
  • Monaco(+377)
  • Moldova(+373)
  • Montenegro(+382)
  • St Martin (French)(+590)
  • Madagascar(+261)
  • Marshall Islands(+692)
  • North Macedonia(+389)
  • Mali(+223)
  • Myanmar (Burma)(+95)
  • Mongolia(+976)
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  • Netherlands(+31)
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  • Oman(+968)
  • Panama(+507)
  • Peru(+51)
  • French Polynesia(+689)
  • Papua New Guinea(+675)
  • Philippines(+63)
  • Pakistan(+92)
  • Poland(+48)
  • St Pierre & Miquelon(+508)
  • Pitcairn(+870)
  • Puerto Rico(+1 787)
  • Palestine(+970)
  • Portugal(+351)
  • Palau(+680)
  • Paraguay(+595)
  • Qatar(+974)
  • Réunion(+262)
  • Romania(+40)
  • Serbia(+381)
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  • St Maarten (Dutch)(+599)
  • Syria(+963)
  • Eswatini (Swaziland)(+268)
  • Turks & Caicos Is(+1 649)
  • Chad(+235)
  • French Southern Territories(+99)
  • Togo(+228)
  • Thailand(+66)
  • Tajikistan(+992)
  • Tokelau(+690)
  • East Timor(+670)
  • Turkmenistan(+993)
  • Tunisia(+216)
  • Tonga(+676)
  • Turkey(+90)
  • Trinidad & Tobago(+1 868)
  • Tuvalu(+688)
  • Taiwan(+886)
  • Tanzania(+255)
  • Ukraine(+380)
  • Uganda(+256)
  • US minor outlying islands(+1)
  • United States(+1)
  • Uruguay(+598)
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  • Vatican City(+379)
  • St Vincent(+1 784)
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  • Virgin Islands (UK)(+1 284)
  • Virgin Islands (US)(+1 340)
  • Vietnam(+84)
  • Vanuatu(+678)
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  • Samoa (western)(+685)
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Please fill all the required fields!
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Reserve Your Free Seat
Name*
Phone Number*
  • Andorra(+376)
  • United Arab Emirates(+971)
  • Afghanistan(+93)
  • Antigua & Barbuda(+1 268)
  • Anguilla(+1 264)
  • Albania(+355)
  • Armenia(+374)
  • Angola(+244)
  • Antarctica(+8)
  • Argentina(+54)
  • Samoa (American)(+1 684)
  • Austria(+43)
  • Australia(+61)
  • Aruba(+297)
  • Åland Islands(+358 18)
  • Azerbaijan(+994)
  • Bosnia & Herzegovina(+387)
  • Barbados(+1 246)
  • Bangladesh(+880)
  • Belgium(+32)
  • Burkina Faso(+226)
  • Bulgaria(+359)
  • Bahrain(+973)
  • Burundi(+257)
  • Benin(+229)
  • St Barthelemy(+590)
  • Bermuda(+1 441)
  • Brunei(+673)
  • Bolivia(+591)
  • Caribbean NL(+599)
  • Brazil(+55)
  • Bahamas(+1 242)
  • Bhutan(+975)
  • Botswana(+267)
  • Belarus(+375)
  • Belize(+501)
  • Canada(+1)
  • Cocos (Keeling) Islands(+61)
  • Congo (Dem. Rep.)(+243)
  • Central African Rep.(+236)
  • Congo (Rep.)(+242)
  • Switzerland(+41)
  • Côte d'Ivoire(+225)
  • Cook Islands(+682)
  • Chile(+56)
  • Cameroon(+237)
  • China(+86)
  • Colombia(+57)
  • Costa Rica(+506)
  • Cuba(+53)
  • Cape Verde(+238)
  • Curaçao(+599)
  • Christmas Island(+61)
  • Cyprus(+357)
  • Czech Republic(+420)
  • Germany(+49)
  • Djibouti(+253)
  • Denmark(+45)
  • Dominica(+1 767)
  • Dominican Republic(+1 809)
  • Algeria(+213)
  • Ecuador(+593)
  • Estonia(+372)
  • Egypt(+20)
  • Western Sahara(+212)
  • Eritrea(+291)
  • Spain(+34)
  • Ethiopia(+251)
  • Finland(+358)
  • Fiji(+679)
  • Falkland Islands(+500)
  • Micronesia(+691)
  • Faroe Islands(+298)
  • France(+33)
  • Gabon(+241)
  • Britain (UK)(+44)
  • Grenada(+1 473)
  • Georgia(+995)
  • French Guiana(+594)
  • Guernsey(+44 1481)
  • Ghana(+233)
  • Gibraltar(+350)
  • Greenland(+299)
  • Gambia(+220)
  • Guinea(+224)
  • Guadeloupe(+590)
  • Equatorial Guinea(+240)
  • Greece(+30)
  • South Georgia & the South Sandwich Islands(+99)
  • Guatemala(+502)
  • Guam(+1 671)
  • Guinea-Bissau(+245)
  • Guyana(+592)
  • Hong Kong(+852)
  • Honduras(+504)
  • Croatia(+385)
  • Haiti(+509)
  • Hungary(+36)
  • Indonesia(+62)
  • Ireland(+353)
  • Israel(+972)
  • Isle of Man(+44 1624)
  • India(+91)
  • British Indian Ocean Territory(+246)
  • Iraq(+964)
  • Iran(+98)
  • Iceland(+354)
  • Italy(+39)
  • Jersey(+44 1534)
  • Jamaica(+1 876)
  • Jordan(+962)
  • Japan(+81)
  • Kenya(+254)
  • Kyrgyzstan(+996)
  • Cambodia(+855)
  • Kiribati(+686)
  • Comoros(+269)
  • St Kitts & Nevis(+1 869)
  • Korea (North)(+850)
  • Korea (South)(+82)
  • Kuwait(+965)
  • Cayman Islands(+1 345)
  • Kazakhstan(+7)
  • Laos(+856)
  • Lebanon(+961)
  • St Lucia(+1 758)
  • Liechtenstein(+423)
  • Sri Lanka(+94)
  • Liberia(+231)
  • Lesotho(+266)
  • Lithuania(+370)
  • Luxembourg(+352)
  • Latvia(+371)
  • Libya(+218)
  • Morocco(+212)
  • Monaco(+377)
  • Moldova(+373)
  • Montenegro(+382)
  • St Martin (French)(+590)
  • Madagascar(+261)
  • Marshall Islands(+692)
  • North Macedonia(+389)
  • Mali(+223)
  • Myanmar (Burma)(+95)
  • Mongolia(+976)
  • Macau(+853)
  • Northern Mariana Islands(+ 1 670)
  • Martinique(+596)
  • Mauritania(+222)
  • Montserrat(+1 664)
  • Malta(+356)
  • Mauritius(+230)
  • Maldives(+960)
  • Malawi(+265)
  • Mexico(+52)
  • Malaysia(+60)
  • Mozambique(+258)
  • Namibia(+264)
  • New Caledonia(+687)
  • Niger(+227)
  • Norfolk Island(+672)
  • Nigeria(+234)
  • Nicaragua(+505)
  • Netherlands(+31)
  • Norway(+47)
  • Nepal(+977)
  • Nauru(+674)
  • Niue(+683)
  • New Zealand(+64)
  • Oman(+968)
  • Panama(+507)
  • Peru(+51)
  • French Polynesia(+689)
  • Papua New Guinea(+675)
  • Philippines(+63)
  • Pakistan(+92)
  • Poland(+48)
  • St Pierre & Miquelon(+508)
  • Pitcairn(+870)
  • Puerto Rico(+1 787)
  • Palestine(+970)
  • Portugal(+351)
  • Palau(+680)
  • Paraguay(+595)
  • Qatar(+974)
  • Réunion(+262)
  • Romania(+40)
  • Serbia(+381)
  • Russia(+7)
  • Rwanda(+250)
  • Saudi Arabia(+966)
  • Solomon Islands(+677)
  • Seychelles(+248)
  • Sudan(+249)
  • Sweden(+46)
  • Singapore(+65)
  • St Helena(+290)
  • Slovenia(+386)
  • Svalbard & Jan Mayen(+47)
  • Slovakia(+421)
  • Sierra Leone(+232)
  • San Marino(+378)
  • Senegal(+221)
  • Somalia(+252)
  • Suriname(+597)
  • South Sudan(+211)
  • Sao Tome & Principe(+239)
  • El Salvador(+503)
  • St Maarten (Dutch)(+599)
  • Syria(+963)
  • Eswatini (Swaziland)(+268)
  • Turks & Caicos Is(+1 649)
  • Chad(+235)
  • French Southern Territories(+99)
  • Togo(+228)
  • Thailand(+66)
  • Tajikistan(+992)
  • Tokelau(+690)
  • East Timor(+670)
  • Turkmenistan(+993)
  • Tunisia(+216)
  • Tonga(+676)
  • Turkey(+90)
  • Trinidad & Tobago(+1 868)
  • Tuvalu(+688)
  • Taiwan(+886)
  • Tanzania(+255)
  • Ukraine(+380)
  • Uganda(+256)
  • US minor outlying islands(+1)
  • United States(+1)
  • Uruguay(+598)
  • Uzbekistan(+998)
  • Vatican City(+379)
  • St Vincent(+1 784)
  • Venezuela(+58)
  • Virgin Islands (UK)(+1 284)
  • Virgin Islands (US)(+1 340)
  • Vietnam(+84)
  • Vanuatu(+678)
  • Wallis & Futuna(+681)
  • Samoa (western)(+685)
  • Yemen(+967)
  • Mayotte(+262)
  • South Africa(+27)
  • Zambia(+260)
  • Zimbabwe(+263)
Educational Qualification*
Current profile*
Year of Graduation*
Speaking Language*
Please fill all the required fields!
Please accept terms and conditions to proceed
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Lungi Boys: KujiliMasthu Challenge: Predict IPL 2026 Winner with Data Science.

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