Python machine learning for beginners (PART 1)

Hello guys, today am going to teach you some basics on machine in python. 

Machine Learning is a step into the direction of artificial intelligence (AI).

What is machine learning ?

Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. 

In this tutorial we will go back to mathematics and study statistics, and how to calculate important numbers based on data sets.

Data set

In the mind of a computer, a data set is any collection of data. It can be anything from an array to a complete database.

Example of an array:

[99,86,87,88,111,86,103,87,94,78,77,85,86]

By looking at the array, we can guess that the average value is probably around 80 or 90, and we are also able to determine the highest value and the lowest value, but what else can we do?

And by looking at the database we can see that the most popular color is white, and the oldest car is 17 years, but what if we could predict if a car had an AutoPass, just by looking at the other values?

That is what Machine Learning is for! Analyzing data and predict the outcome!

MEAN

In Machine Learning (and in mathematics) there are often three values that interests us:

• Mean - The average value

Example: We have registered the speed of 13 cars:

speed = [99,86,87,88,111,86,103,87,94,78,77,85,86]

What is the average, the middle, or the most common speed value?

Mean

The mean value is the average value.

To calculate the mean, find the sum of all values, and divide the sum by the number of values:

(99+86+87+88+111+86+103+87+94+78+77+85+86) / 13 = 89.77

The NumPy module has a method for this:

Use the NumPy mean() method to find the average speed:

Get your python IDE set: 

Insert the code below: 

import numpy

speed = [99,86,87,88,111,86,103,87,94,78,77,85,86]

x = numpy.mean(speed)

print(x)

Returns:  89.76923076923077

Part Two coming soon stay tuned.