## Machine Learning in Chandigarh Mohali

### Introduction to Machine Learning

Duration: 6 Weeks – 6 Months

Machine Learning is a first-class ticket to the most exciting careers in data analysis today. The goal of machine learning generally is to understand the structure of data and fit that data into models that can be understood and utilized by people.

This is a class that will teach you the end-to- end process of investigating data through a machine learning lens. It will teach you how to extract and identify useful features that best represent your data, a few of the most important machine learning algorithms, and how to evaluate the performance of your machine learning algorithms.

“Machine learning will automate jobs that most people thought could only be done by people.” ~Dave Waters

Course curriculum:

Introduction to Machine Learning

• Introduction

• Objectives

• Need of Business Analytics

• Types of Business Analytics

• Descriptive Analytics

• Predictive Analytics

• Supply Chain Analytics

• Health Care Analytics

• Web Analytics

• Data Science

• Importance of Data Science

Introduction to R Learning

• Introduction

• Objectives

• An Introduction to R

• Comprehensive R Archive Network(CRAN)

• Cons of R

• Companies using R

• Understanding R

• Installing R on various Operating System

• Demo Install R

• IDEs for R

• Installing RStudio

• Access the Help Document

• R Packages

• Install and Load a Package

R Programming

• Introduction

• Objectives

• Operator in R

• Arithmetic Operators

• Use Arithmetic Operations

• Relational Operators

• Logical Operators

• Assignment Operators

• Conditional Statements in R

• If Else() Function

• Switch Function

• Loops in R

• Break

• Use Commonly Used Functions

Data Structures in R

• Introduction

• Objectives

• Types of Data Structures in R

• Vectors

• Scalars

• Matrices

• Create a Matrix

• Arrays

• Data Frames

• Factors

• Lists

• Importing Files of R

• Importing a CSV File

• Read Data From a File

• Exporting Files from R

Data Visualization in R

• Introduction

• Objectives

• Graphs in R

• Types of Graphs

• Bar Charts

• Pie Chart

• Histograms

• Kernel Density Plot

• Line Charts

• Box Plot

Introduction to Statistics

• Introduction

• Basics of Statistics

• Types of Data

• Types of Measurement in Order

• Nominal Measurements

• Ordinal Measurements

• Interval Measurements

• Ratio Measurements

• Normal Distribution

• Example of Normal Distribution

• Standard Normal Distribution

• Importance of Normal Distribution in Statistics

• Probability Distribution Function

• Cosine Similarity

• Correlation

Regression Analysis

• Introduction to Regression Analysis

• Types of Regression Analysis

• Simple Regression Analysis

• Multiple Regression Analysis

• Interaction Regression Models

• Bias Vs Variance Trade off

• Dummy Variable Regression Model

• Variable Selection Methods

• Accuracy Metrics

• Logistic Regression

• Case Study of Linear and Logistic Regression

Clustering

• Clustering Vs Classification

• Different Distance Measures

• Hierarchical Clustering

• K-Means Clustering

• Case Study

• Practical Project using Machine Learning

# Why Machine Learning?

Here @Oops Info Solutions Pvt. Ltd., we will teach you the end-to-end process of investigating data through a machine learning lens. You will learn how to extract and identify useful features that best represent the data, a few of the most important machine learning algorithms, and how to evaluate the performance of these machine learning algorithms.

At Oops Info Solutions Pvt. Ltd., Machine Learning Course is available in two formats:

• A Brief Introduction to Data Analysis and Machine Learning
• Duration: 6 Weeks
• Data Analysis and Machine Learning
• Duration: 6 Months