Quick survey
Please complete the survey. It will make the sessions better.

Note : If you are in First year Bachelors, please understand that you cannot grasp it enough. We will try to have these sessions next year also. You can attend then.
Email *
Full Name  *
Roll Number *
Branch *
Year *
Can you dedicate atleast 7 hours per week (3 hours sessions + 4 hours homework) to this course?
The course will pause during your exams.
 *
Can you do programming assignments?
(If yes, type "Yes", else type why not). *
Do you know any programming language? *
Which programming language do you know? *
Required
How good are you with these ? *
1 = Heard about it, but never learnt  
2 = Started learning, but forgot now
3 = Learnt it but use it rarely
4 = Learnt it and did projects
5 = Explored them thoroughly, and working with them 
Never heard about it
1
2
3
4
5
Python
Numpy
Scikit
Tensorflow
Pytorch
Multivariate Calculus
Column space, Row space, Null space
Eigen Decomposition
Singular Value Decomposition
Taylor Series
Netwon Raphson (or Range Kutta) Method
Principle Component Analysis
Random Variable
First and Second Order Moments
Bayes Theorem
Markov Chain
Convolution
Fourier Series and Transform
FFT
Linear and Logistic Regression
Perceptron
SVM
Fully Connected ANNs
Convolutional Neural Networks
Recurrent Neural Networks
Long Short Term Memory RNN
Generative Adversarial Networks
HTML
CSS
Javascript
ReactJS (or any other JS frameworks)
Overleaf
Lisp
Rust
Julia
R language
Cover letter :
Why do you want to attend the sessions, and what makes you suitable to the sessions?

Atleast 400 words.  Less than 800 words.
 *
Highlight something about yourself which stands out, and how you can contribute to the sessions.

Atleast 400 words.  Less than 800 words.
 *
What do you expect from the sessions? 

Atleast 200 words.
 *
Give your preferred date for the first session. *
MM
/
DD
/
YYYY
We will have two 1.5 hour sessions per week.
Which day of the week would you prefer the sessions? *
Mon
Tue
Wed
Thu
Fri
Sat
Sun
Session 1
Session 2
Describe ONE project you would want to complete before your bachelors ends. (or in your life)
Need not be related to Machine Learning
 *
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