Learn Azure Machine Learning from scratch

Name: Learn Azure Machine Learning from scratch
Rating: 4.1 (224 reviews)

This course starts from scratch with Azure Machine Learning and lands in decision trees.

Created byKhaled Jemni

Last updated 10/2018

English

What you'll learn

Master Azure Machine Learning
Have a great intuition of many Azure Machine Learning models
Build an army of powerful Machine Learning models and know how to combine them to solve any problem
Know which Machine Learning model to choose for each type of problem
Make robust Machine Learning models

Course content

5 sections • 16 lectures • 57m total length

Azure Machine Learning Studio2:28
Take a quick tour in Azure ML Studio.
Where to find samples1:10
Where to find Azure ML Samples published

Upload a new dataset into Azure Machine Learning Studio2:08
Learn how to upload a new dataset to Azure Machine Learning Studio from your local machine
Create a new expirement and upload an online dataset3:36
Create your first Azure ML expirement, and learn how to upload an online dataset.
Work with your first expirement and use the convert to Dataset3:17
Create your first Azure ML experience, upload a local dataset then convert it into a ML dataset.
Preprocessing Data6:02
Clean, transform, and normalize your data.

Preprocessing flights data5:42
Learn azure machine learning from scratch: preprocess flight data by combining flight delays and weather datasets, clean missing values, normalize data with descriptive statistics, and prepare for model training.
Cleaning data and transforming its type3:42
Apply Math in your Azure Machine Learning Expirement4:49
Preprocessing the weather data5:48
Preprocess the weather data for Azure machine learning by visualizing, cleaning missing values, removing incomplete rows, converting airport id to categorical, and adjusting time fields with math.
How to join the datasets and split the rows4:07
Join weather and planes data in Azure Machine Learning by selecting join keys (year, month, day, airport id, departure time) and split the merged data to prepare flight delay predictions.

Explore the available Algorithms2:21
Explore Azure Machine Learning cheat sheet1:30
Explore a free machine learning cheat sheet to help you select Azure Machine Learning algorithms for regression, classification, clustering, and anomaly detection based on your data and prediction goals.
Use algorithms in the ML expirement6:07
Drag and drop multiclass algorithms in Azure Machine Learning to train and score models using an 80/20 data split, comparing multiclass logistic regression and multiclass decision jungle.
How to see the decision trees in your expirement2:06
Explore how to work with two datasets, split data, train models, and visualize decision trees in Azure machine learning for analysis across experiments.

Requirements

Basic mathematics level
Passion for Machine Learning, AI, and Data Science

Description

Are you passionate about Machine Learning and AI? Are you looking to find your first steps into Data Science. This course starts from scratch with Azure Machine Learning and lands in decision trees.

I will walk you through the Azure ML Studio, how to create expirements, how to add datasets, how to add algorithms and predict values.

This course does not cover any coding with R or Python, this will be published in a different course.

Who this course is for:

Anyone interested in Azure Machine Learning.
Any people who are not that comfortable with coding but who are interested in Azure Machine Learning and want to apply it easily on datasets.
Any students in college who want to start a career in Data Science.
Any data analysts who want to level up in Azure Machine Learning.
Any people who want to become a Data Scientist.

Learn Azure Machine Learning from scratch

What you'll learn

Explore related topics

Course content

Azure Machine Learning Studio2 lectures • 4min

Creating Machine Learning Models4 lectures • 15min

First example: flight delays prediction5 lectures • 24min

Add Algorithms into your ML Expirement4 lectures • 12min

Azure AI Gallery1 lecture • 2min

Requirements

Description

Who this course is for: