Course Name: Practical Machine Learning with Tensorflow

Course abstract

This will be an applied Machine Learning Course jointly offered by Google and IIT Madras. We will cover the basics of Tensorflow and Machine Learning in the initial sessions and advanced topics in the latter part. After this course, the students will be able to build ML models using Tensorflow.


Course Instructor

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Prof. Balaraman. Ravindran

Prof. Balaraman Ravindran is currently a Professor in Computer Science at IIT Madras. He has nearly two decades of research experience in machine learning and specifically reinforcement learning. Currently his research interests are centered on learning from and through interactions and span the areas of data mining, social network analysis, and reinforcement learning.
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Dr. Ashish Tendulkar

Dr. Ashish Tendulkar is a ML architect with Google Pay. He got his Master's and PhD from IIT Bombay and post-doc from Spain. He has held various positions including Assistant Professor at IIT Madras, VP of Data Science at Reliance and Principal Data Scientist at Media.net before joining Google.
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Teaching Assistant(s)

Pranshu Malviya

MS

Siddharth Nishtala

Project Associate

 Course Duration : Jan-Mar 2020
  View Course
 Enrollment : 18-Nov-2019 to 03-Feb-2020
 Exam registration : 16-Dec-2019 to 21-Feb-2020
 Exam Date : 29-Mar-2020

Enrolled

12175

Registered

717

Certificate Eligible

364

Certified Category Count

Gold

2

Silver

42

Elite

161

Successfully completed

159

Participation

161

Success

Elite

Silver

Gold




Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score Note: We have taken best assignment score from Both Jan and July course
Practical Machine Learning with Tensorflow - Toppers list
Top 1 % of Certified Candidates

SAICHARAN GONTLA 91%

Indian Institute of Technology, Madras

MIR SAMEED ALI 90%

Indian Institute of Technology, Tirupati

SHRUTI SACHDEVA 88%

Netaji Subhas University of Technology

SAI VARUN SEEMAKURTHI 88%

Indian Institute of Technology, Madras


Top 2 % of Certified Candidates

RAJKUMAR LAKSHMANAMOORTHY 86%

NIRO PROJECTS

PARTH MAHESHKUMAR PATEL 85%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING, KANCHEEPURAM

SOMAROUTHU SAI SAKETH 84%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)


Top 5 % of Certified Candidates

ANIMESH SHUKLA 83%

BHARATI VIDYAPEETH (DU) COLLEGE OF ENGINEERING, PUNE

MANJUNATH S 83%

Rakuten India

V JAWAHAR NARAYANAN 83%

Indian Institute of Technology, Madras

BRAJESH KUMAR 82%

APPYHIGH TECHNOLOGY LLP

KRISHNA KISHORE JULAKANTI 82%

IIT Madras

SANJANA SRIVASTAVA 82%

Indian Institute of Technology,Roorkee

MANAV JAYESH JAIN 82%

BHARATIYA VIDYA BHAVANS SARDAR PATEL INSTITUTE OF TECHNOLOGY

ANDREA CELESTINE SOLOMON 82%

SRI SIVASUBRAMANIYA NADAR COLLEGE OF ENGINEERING

ADITYA DAS 81%

Indian Institute of Technology,Madras

NISHANT GHULE 81%

Indian Institute of Technology,Roorkee

ASHISH AGARWAL 81%

RAJAT AHUJA 81%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING, KANCHEEPURAM

Enrollment Statistics

Total Enrollment: 12175

Registration Statistics

Total Registration : 1424

Assignment Statistics



Feedback Videos

Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.