Steps of the machine learning process

​Basic steps of the machine learning process

https://www.youtube.com/watch?v=G7FfCJfV7pk

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​1.Collecting Data:

machines initially learn from the data given to them.

It is of the utmost importance to collect reliable data so that your machine learning model can find the correct patterns.

• The quality of the data that you feed to the machine will determine how accurate your model is.

• If you have incorrect or outdated data, you will have wrong outcomes or predictions which are not relevant. 

Multiple Choice

Machines initially learn from the -------------- given to them

• books

• AI

• data

• songs

Multiple Choice

The quality of the data that you feed to the machine will not affect how accurate your model is

• True

• False

​2. Preparing the Data: do this by

​a)Putting together all the data you have and randomizing it.

b)Cleaning the data to remove unwanted data

c)Visualize the data to understand how it is structured and understand the relationship between various variables and classes present.

Multiple Choice

•Testing set  data is used to-----

• •splitting the cleaned data into two sets

• •check the data your model learns from

• •check the accuracy of your model after training

Multiple Choice

During step 2 Preparing the Data to understand how id data is structured or presented this is called --------

• Testing

• Training

• Visualization

Multiple Choice

Machine learning forth step is called

• Training the Model

• Choosing a Model

• Evaluating the Model

• Preparing the Data

Multiple Choice

Choosing a Model for your machine isn't important

• true

• false

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Evaluating the Model means

• to check  how is the selected model do this

• to check to see how is the selected model is  performing

• Cleaning the data to remove unwanted data

Open Ended

What will happen If testing was done on the same data which is used for training?

Multiple Choice

When evaluating the model using ---------------------- , you get an accurate measure of how your model will perform and its speed.

• Tuning

• unseen data

• training,

• testing data

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the 6 step mean ---------------

• check to see how it’s performing

• see if model accuracy can be improved in any way

• the most important step

Multiple Choice

---------------arethe variables in the model that the programmer generally decides.

• Parameters

• Predictions

• unseen data.