Reinforcement Learning - Markov Decision Process

Introduction

UnSupervised Learning - Optimization

In the lecture series so far in the Supervised Learning we have learnt the various topics as below

Supervised Learning - Till Date

In the lecture series so far in the Supervised Learning we have learnt the various topics as below

Devlog

  • Worked on Freelancing Node REST services. Used ‘bcrypt’ module to effectively hash the password before storing in the Mongo.

Instance Based Learning

In this lecture series professor explains with instance based learning It is nothing but learning based on instances of data *Lazy Learning- Learn at last after creating a model - Knn Neighbour *Easy Learning - Learn as soon as we receive the data

Regression Classification

In this lecture series professor explains with basic linear equations