Intro to Azure ML and Cloud Computing

Explore Azure Machine Learning Studio, a powerful cloud-based graphical data science tool, in this comprehensive 1-hour 23-minute tutorial. Learn to upload, analyze, visualize, manipulate, and clean data using the intuitive interface. Dive into key concepts such as experiments, notebooks, and workspaces. Master data preprocessing techniques, including handling categorical values, normalization, and data mining. Discover how to create and manage experiments, work with various data formats, and perform ingress and egress operations. Gain insights into data visualization, descriptive statistics, and summary statistics. Explore methods for cleaning missing data, data scrubbing, and handling categorical and numerical data. Develop skills in regression, predictive modeling, and working with categorical variables. By the end of this tutorial, acquire the knowledge to effectively utilize Azure ML for various data science tasks and cloud computing applications.

Intro
Azure ML
SAS
Experiments
Notebooks
Create an experiment
Workspace
Modules
Outputs
Download Data
Format Conversion
Ingress Egress
CSV
Save Data Set
Write Data
Preprocessing
Juggling Learning
Preprocessing Data
Categorical Values
Normalized Values
Unique Values
Data Mining
Categorical Casting
Ordinal Casting
Meta Data Editor
Autocomplete
Doors
Visualizations
Data Visualization
Descriptive Statistics
Summary Statistics
Clean Missing Data
Scrubbing Data
Cleansing Missing Data
Versatility
Regression
Predictive
Categorical
Mode
Column Selector
Cleaning Mode
numerix
numeric