Data Science Bootcamp

Introduction To Machine Learning

This module introduces machine learning and discussed how algorithms and languages are used.

Lessons

What is machine learning?

Introduction to machine learning algorithms.

Introduction to machine learning languages.

Introduction To Azure Machine Learning

Describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio.

Lessons

Azure machine learning overview

Introduction to Azure machine learning studio

Developing and hosting Azure machine learning applications

Managing Data Sets

At the end of this module the student will be able to explore various types of data in Azure machine learning.

Lessons

Categorizing your data

Importing data to Azure machine learning

Exploring and transforming data in Azure machine learning

Building Azure Machine Learning Models

This module describes how to use regression algorithms and neural networks with Azure machine learning.

Lessons

Azure machine learning workflows

Using regression algorithms

Using neural networks

Using Azure Machine Learning Models

This module explores how to provide end users with Azure machine learning

services, and how to share data generated from Azure machine learning models.

Lessons

Deploying and publishing models

Consuming Experiments

  Day 2:- Data Science with R Programming Course Outline

Introduction To R Programming

Using the R console

Learning about the environment

Writing and executing scripts

Object oriented programming

Installing packages

Working directory

Saving your work

Variable Types And Data Structures

Variables and assignment

Data types

Numeric, character, boolean, and factors

Data structures

Vectors, matrices, arrays,

Assigning new values

Viewing data and summaries

Base Graphics System In R

Scatterplots, histograms, barcharts, box and whiskers, dotplots

Labels, legends, titles, axes

Exporting graphics to different formats

General Linear Regression

Linear and logistic models

Regression plots

Interaction in regression

Day 3:-Data Science using Python Course Outline

Introduction To Python

Python History

Users of Python

Installing Python

Installing IDE

Data Types

Numbers

Sequences

File

Tuples

Dictionaries

Data Science Introduction

Why Python for Data Science

Popular packages

Use cases

Popular Libraries

Panda

Numpy

Matplotlib

Scikit-learn

Working With Data

Reading & Writing to different data sources

Cleaning data

Visualisation

Data Transformation