Undergrad @ IIIT Gwalior. Machine Learning enthusiast. Qualified JEE Mains and Advanced. Gate Aspirant.
Excellent orator.

Surya Pratap Singh

Mastery over machine learning concepts in a simple and easy way. It will include both supervised and unsupervised learning as well as other important concepts and algorithm like neural networks and SVM.

GATE (Graduate Aptitude Test in Engineering) 2020 & 2021 complete preparation with best educators. Know about the detailed syllabus, best books, exam pattern and dates, previous year question papers a

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Hindi

(Hindi) Machine Learning Made Easy: GATE

Network Security

Computer Network

CS & IT

GATE - CSIT, DSAI & Interview Preparation

GATE, ESE and IIT-JAM

Ace the toughest competitive and government exams in India 

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An introduction to machine learning- what it is all about, why it is one of the most popular skill set for any professional or student, and where it is used (it's used in all major industries ;) ).

Machine Learning: Introduction (in Hindi)

Classification of ML, supervised and unsupervised learning with examples.

Machine Learning: Classification of ML (in Hindi)

Model representation (Supervised Learning) hypothesis function and cost function - what they are and what they do.

Machine Learning: Model Representation (in Hindi)

More about cost function- how it works to make our model more accurate.

Machine Learning: Cost Function (in Hindi)

Gradient descent - how to reduce the cost and reach maximum accuracy of our hypothesis.

Machine Learning: Gradient Descent (in Hindi)

Machine Learning : gradient descent for linear regression and basics of matrices and vectors.

Machine Learning : Gradient descent & Matrices

Machine Learning : How to handle multiple features in the training examples.

Machine Learning : Multiple features

Machine Learning : Feature scaling and how polynomial regression fits the data well sometimes.

Machine Learning : optimising techniques and polynomial regression

Machine Learning : formula for normal equation & classification introduction

Machine Learning : Normal Equation and Classification

Machine Learning : how Decision Boundary divides the examples for classification & Cost function for classification.

Machine Learning : Decision Boundary & Cost Function

What are requirements of advanced optimisations, what is multiclass classification and how to do it & what is the problem of 'overfitting'.

Machine learning : Advanced Optimisations; Multiclass classification; Overfitting

How to cope with the problem of overfitting using Regularisation.

Machine learning : Coping with Over-fitting & Regularisation

Why Neural Network is used and how to represent it.

Basics of Neural Networks

Examples of neural networks and Multiclass classification.

Simple examples of neural network and Multi-class classification

What is the cost function for N.N. and how to reduce it using Backpropagation algorithm to get optimised value of theta.

Cost function and Back Propagation for Neural Network

Currently pursuing B.Tech in the field of computer science. Exploring the world of Artificial Intelligence

Palash Sharma

In this course, the educator discusses the concepts of cryptography and also the fundamentals required to understand the various security involved with computing and networking devices.

Cryptography and Cyber Security: GATE (CS and IT)

Code HELLOSONU01 | 8+ Years Teaching Exp. in GATE CS IT & GATE DS AI on Unacademy | Mentored 2 Lakh+ Students | Produced Rankers Under 500

Sweta Kumari

In this particular course, our motive is to learn multiple choice questions related to network security important for GATE Exam.

(Hindi) Network Security - 40 Objective Questions

This Course will cover Network Security With Detailed Analysis and Proper understanding of each and every topic.

(Hindi) Threadbare Understanding Of Network Security - GATE (CS & IT)

In this course , I am covering the entire Syllabus of network Security through the expected network security GATE Questions.

(Hindi) Previous Year GATE Questions On Network Security

UG Student at IIT Roorkee |Sports Freak| Data Analyst|  Blogger 

Pravesh Sharma

This course will give everyone an insight into machine learning. Many of the people around usually heard this word but they don't know about it and this course will help them a lot

Introduction to Machine Learning for Data science

This course will cover some of the very important concepts that you must know about IPv4 /IPv6 Addressing and Routing Algorithms.We will discuss Previous Year Questions on this Topics also.

Lessons

15 lessons • 2h 25m

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Machine Learning: Introduction (in Hindi)

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Machine Learning: Classification of ML (in Hindi)

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Machine Learning: Model Representation (in Hindi)

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Machine Learning: Cost Function (in Hindi)

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Machine Learning: Gradient Descent (in Hindi)

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Machine Learning : Gradient descent & Matrices

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Machine Learning : Multiple features

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Machine Learning : optimising techniques and polynomial regression

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Machine Learning : Normal Equation and Classification

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Machine Learning : Decision Boundary & Cost Function

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