Advanced Machine Learning with Deep Learning 

Introduction to Artifical Intelligence & Machine Learning

Overview- AI Vs ML Vs Deep Learning

Overview- Subfields of Artificial Intelligence- Robotics, ML, NLP, Computer Vision

Applications of Machine Learning/AI

Difference between AI & Programmed Machine

R & R Studio Setup & Installation

Quick tour of R-Studio ?? Variables, Install, Plot, help, console, repository

Important Links to get datasets ?? Kaggle, data.gov etc

Classes & Objects

Vector and List in R

Hands-on

Matrix & Factor in R

Hands-on

Dataframe in R

Plotting using gggplot2 in R ?? Scatter plot, Box plot, Hist, Bar chart etc

N-Dimensional Array in R

Table function in R

Hands-on

Statistics in R ?? Mean, Median, Mode, Range, Variance, SD, Inter Quartile

Twitter- R Integration

Get data from MYSql using R

Get data from website using R

Hands-on

Steps involved in solving a Machine Learning Usecase

Data preprocessing/preparation in R

Missing data, Categorical data, Feature Scaling, Spliting data to test & train sets

Hands-on with sample data

Types of Machine Learning- Supervised & UnSupervised Machine Learning

Supervised Learning ?? Regression & Classification

UnSupervised Learning- Clustering

Regression Algorithm- Simple Linear Regression

UseCase: Create a Model to predict Salary from years of exp

Classification Algorithm- K Nearest Neighbour

UseCase: Create a Model to predict if a particular customer will purchase a product or not

Hands-on with Sample data

Clustering Algorithm- Kmeans

Elbow Method in Kmeans to predict optimal no. of Clusters

Clustering Algorithm- Hierarchical Clustering

Dendograms in Hierarchical Clustering to predict optimal no. of Clusters

UseCase: Using Kmeans & HC to extract patterns to analyse customer data based on spending score and income

Hands-on with Sample data

Logistics Regression

UseCase: Create a Model to predict if a particular customer will purchase a product or not

How to create and read ROC curve

How to check the accuracy of the Model using Confusion Matrix

Hands-on with Sample data

Random Forest using Decision Trees

Support Vector Machien for Classification

UseCase: Create a Model using Random Forest & SVM to predict if a particular customer will purchase a product or not

How to create and read ROC curve

How to check the accuracy of the Model using Confusion Matrix

Hands-on with Sample data

Polynomial Regression

UseCase: Create a Model to predict Salary from years of exp

UseCase: Satellite Image Classification using Random Forest. Create a Model to indetify/classify different types of land re.g barren, forest, urban, river etc from a Satellite image

Hands-on with Sample data

Dimensionality Reduction

Feature Selection Vs Feature Extraction

Feature Selection using Backward Elimination technique

Feature Extraction using PCA

Hands-on with Sample data

How to tune/check accuracy of Model using P- Value, R Square, Adjusted R Square

CAP

Overview of NLP/Text Mining

Libraries in R for NLP/text mining ?? tm, Snowball, dplyr

Bag of words using R

Use Case: Restaurents Review System

Sentiment Analaysis using R

Usecase: Analyse twitter data for two teams to predict sentiments

Hands-on with Sample data

Overview of types of recommendation engines ?? Example Ecommerce, Netflix etc

Frequently bought items , User Based Collaberative Filtering

Libraries in R for recommendation ?? recommenderlab

Use Case: Analyse grocery store data to find out frequently bought together item

Use Case: Analyse jokes data to recommend best jokes to users

Hands-on with Sample data

Time Series data analysis in R

Components in time series - Trend, Seasonality

Arima Model Vs ETS Model

Use Case: Forecast Fight booking from Airline data

Sentiment Analaysis using R

Hands-on with Sample data

Deep Learning Introduction

Limitations of ML and how Deep Learning comes to rescue

Biological Neural Network Vs Artificial Neural Network

Popular Framworks of DeepLearning ?? Tensorflow, Keras

Understanding Deep Learning Terminologies ?? Input Layer, Hidden Layer, Output Layer, Activation Function, Cost Function, BackPropogation, Gradient Descent, Epoch, Learning Rate

Install Keras (uses tensorflow)

Use Case: Create a model using ANN for boston housing data

Convolutional Neural Network

Convolution, Polling, Flattening

Use Case: Image classfication using CNN

Hands-on with Sample data

Case Study ?? Predict Customer Churn

Case Study ?? Canada Crime Analysis

Summary & QA