Microsoft Azure DP-100: Designing and Implementing a Data Science Solution Exam Covered. Learn Azure Machine Learning
What you'll learn
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Master Data Science and Machine Learning Models using Azure ML.
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Understand the concepts and intuition of Machine Learning
algorithms
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Build Machine Learning models within minutes
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Choose the correct Machine Learning Algorithm using the
cheatsheet
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Deploy production grade Machine Learning algorithms
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Deploy Machine Learning webservices in the simplest form
possible including excel
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Bring in great value to business you manage
Requirements
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Basic Math is good enough. This course does not require
background in Data Science. Will be great if you have one.
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Free or paid subscription to Microsoft Azure is required. It may
ask for Phone and/or Credit Card for verification
Description
Machine Learning is one of the hottest and top
paying skills. It's also one of the most interesting field to work on.
In this course of Machine Learning using Azure
Machine Learning, we will make it even more exciting and fun to learn, create
and deploy machine learning models. We will go through every concept in depth.
This course not only teaches basic but also the advance techniques of
Data processing, Feature Selection and Parameter Tuning which an
experienced and seasoned Data Science expert typically deploys. Armed with
these techniques, in a very short time, you will be able to match the
results that an experienced data scientist can achieve.
This course will help you prepare for the
entry to this hot career path of Machine Learning as well as the Azure DP-100:
Azure Data Scientist Associate exam.
This course has more than 80 lectures and
is over 14 hours in content. That simply means, we go
through the details of Data Science and Machine Learning along with its
implementation. Almost every topic has a hands-on lab that you
can practice. I have dealt with almost all scenarios during my tenure
with various governments across the world and Fortune 500 companies.
I am committed to and invested in your
success. I have always provided answers to all the questions and
not a single question remains unanswered for more than a few days. The course
is also regularly updated with newer features.
Learning data science and then further
deploying Machine Learning Models have been difficult in the past. To make it
easier, I have explained the concepts using very simple and day-to-day
examples. Azure ML is Microsoft's way of democratizing Machine
Learning. We will use this revolutionary tool to implement our models. Once
learnt, you will be able to create and deploy machine learning models
in less than an hour using Azure Machine Learning Studio.
Azure Machine Learning Studio is a great
tool to learn to build advance models without writing a single line of code
using simple drag and drop functionality. Azure Machine Learning
(AzureML) is considered as a game changer in the domain of Data Science
and Machine Learning.
This course has been designed keeping in mind
entry level Data Scientists or no background in programming. This course will
also help the data scientists to learn the AzureML tool. You can skip
some of the initial lectures or run them at 2x speed, if you are already
familiar with the concepts or basics of Machine Learning.
The course is very hands on and you will be
able to develop your own advance models while learning,
- Advance Data Processing methods
- Statistical Analysis of the
data using Azure Machine Learning Modules
- MICE or Multiple Imputation By
Chained Equation
- SMOTE or Synthetic Minority
Oversampling Technique
- PCA; Principal Component
Analysis
- Two class and multiclass
classifications
- Logistic Regression
- Decision Trees
- Linear Regression
- Support Vector Machine
(SVM)
- Understanding how to evaluate
and score models
- Detailed Explanation of input
parameters to the models
- How to choose the best model using
Hyperparameter Tuning
- Deploy your models as a
webservice using Azure Machine Learning Studio
- Cluster Analysis
- K-Means Clustering
- Feature selection using
Filter-based as well as Fisher LDA of AzureML Studio
- Recommendation system using one
of the most powerful recommender of Azure Machine Learning
- All the slides and reference
material for offline reading
You will learn and master, all of the above
even if you do not have any prior knowledge of programming.
This course is a complete Machine Learning
course with basics covered. We will not only build the models but also explain
various parameters of all those models and where we can apply them.
In this course, we will start with some
basic terms which are used very frequently in machine learning.
I will also explain
- What is Machine Learning and
some real world examples.
- Azure Machine Learning
Introduction
- Provide an overview of Azure
Machine Learning Studio and high level architecture.
We would also look at
- Steps for building an ML model.
- Supervised and Unsupervised
learning
- Understanding the data and
pre-processing
- Different model types
- The AzureML Cheat Sheet.
- How to use Classification and
Regression
- What is clustering or cluster
analysis
KDNuggets one of the leading forums on Data
Science calls Azure Machine Learning as the next big thing in
Machine Learning. It further goes on to say, "people without
data science background can also build data models through drag-and-drop
gestures and simple data flow diagrams."
Azure Machine Learning's library has many
pre-built models that you can re-use as well as deploy them.
This course will also be a great help
in preparing for the Microsoft DP-100 Exam - Designing and Implementing a Data
Science Solution on the Azure using Azure Machine Learning. It
covers almost all the topics of Azure Machine Learning.
So see you inside the course.
Who this course is
for:
·
Developers who want to start a career in or wants to learn about
the exciting domain of Data Science and Machine Learning
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Business Analysts who want to apply Data Science to solve
business problems
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Functional Experts who can take help of Machine Learning and
build/test their hypothesis quickly
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Anyone who wants to learn Machine Learning
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Students and non-technical professionals who want to start a
career in Machine Learning
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Business Process Managers who want to automate their processes
or decision making
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Marketing professionals who want to apply machine learning for
better predictions of sales, conversion, churn
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