Protecting your online data should be as important as protecting your car or house. Actually, It should be more important since you cannot insure your online data. When someone steals your data there is no way back, unlike a car which you can insure & you can get a part of your money back. That isn’t the case with your online data. That’s why I’m going to explain a secure concept to you how you could make all your accounts a lot safer.

Universal 2nd Factor (U2F)

This is a key you could put into your pocket and put on your key-chain. It is…

We all know how the big tech companies collect as many data as possible about us and how hard it is to escape their surveillance. This browser is a private browser out of the box. Which is ideal for people who don’t like configuring a lot of settings, and still want to be private.

The appearance of the brave browser

The goal of linear regression to find a relationship between features, then using this to predict the future, with the assumption of an existing linear correlation.

Exploratory data analysis

For this example, we will use the following dataset.

x = [5, 4, 3, 6, 8, 1, 9, 2, 7]
y = [10, 9, 6, 14, 14, 2, 17, 5, 13]

Just by looking at the data, we could guess if there a linear trend. To make sure our assumptions are correct, we need to confirm it with a graph. Doing this will also give us a better feeling of how the data looks.

We have all seen the word predictor of our mobile keyboards and pressing on the next prediction until it creates a ridiculous story. But how do they work and how do we create one ourselves with Python & Numpy.