Machine Learning Data Information Types Numerical Categorical Training data validation data testing data Structured data Un Structured data Time Series data Data sources create your own data

1. Day-2
Types of Data
Two Weeks online
Live Industrial Training
ON
HANDS ON: MACHINE LEARNING
Day-2
THE NATIONAL SMALL INDUSTRIES CORPORATION In Association with
(A Government of India Enterprise)
. Kamalanagar, Kushaiguda, Hyderabad-500062
Date & Time
18-08-2020
2.30pm-3.30pm

2. Day-2
Content
• Data
• Types
• Structured
• Un-Structured
• Time Series
• Data Sources
• Creation of Data

3. Day-2
Data
facts and statistics collected together for
reference or analysis.
Raw facts / Observations
the quantities, characters, or symbols on
which operations are performed by a
computer, which may be stored and
transmitted in the form of electrical
signals and recorded on magnetic, optical,
or mechanical recording media.
Information
what is conveyed or represented by a particular
arrangement or sequence of things.
Processed Data

4. Day-2
Data

5. Day-2
Data

6. Day-2
Data

7. Day-2
Data
• Numerical
• Exact Numbers-Height
• Discrete Data
• Numerical-Students? - No Half Student
• Continuous Data
• Numerical-3.265
• Categorical Data
• Yes/No, Gender, Race – red-1, green-2 – can take average
• Ordinal Data
• Mix of Numerical and Categorical data
• Scale-Movie Ratings -1-5 starts

8. Day-2
Types
Structured Un-Structured Time Series

9. Day-2
Structured & Un-Structured

10. Day-2
Structured
• Organized
• Can easily processed
• Not Big
• MySQL
• RDMS
• Big
• Hadoop

11. Day-2
Un-Structured
• Not Organized
• Difficult to process
• It include Combination of all forms
• Big
• MongoDB
• Not Big
• Hadoop

12. Day-2
Time Series
• Time series data is a sequence of numbers collected at regular
intervals over some period of time.
• Date & Time
• Finance
• For example, we might measure the average number of home sales
for many years.

13. Day-2
Data Sets
• Training data
• First stage
• Adjusting Parameters - Amitabh
• Simply, you can say training data sets are used to train the model with data used in
real-life that gathered as machine learning training data.
• Validation data
• Second Stage
• evaluating the model predictions and learn from mistakes before validating the data
sets.
• Test Data
• Third Stage
• final evaluation that a model need to go through after the training stage in model
development

14. Day-2
Data Sets

15. Day-2
Data Sets
• Training data
• Validation data
• Test Data

16. Day-2
Data Sources
• Data.gov.in
• https://data.gov.in/resources-from-web-service/3670701
• Kaggle
• https://www.kaggle.com/landlord/handwriting-recognition
• UCI
• https://archive.ics.uci.edu/ml/index.php
• https://archive.ics.uci.edu/ml/datasets.php
• More
• https://towardsdatascience.com/top-sources-for-machine-learning-datasets-
bb6d0dc3378b

17. Day-2
Creation of Data
• IoT – Sensors
• Things Speak
• Download
• Analyse

18. Day-2
Credits
• Harmonizer
• NSIC
• Google

19. Day-2

20. Day-2