Part two of Linear Regression, this time with a machine learning model to calculate control metrics simpler.
I try to teach a battle droid to fly in a straight line in westerly wind. It is admittedly a lame example but it let me pretend I have a flying robot and I can also practice Linear regression.
This is a visual representation of how the Central Limit Theorem works and why it is important.
Here I draw various bar plots and scatter plots. Using these plots I find out which industries my company should target to maximize revenue and minimize risk.
Here is another plotting exercise. I examine the attributes of a small dataframe, wrangle the data and draw a box and whiskers plot a histogram and two revenue charts.
Here I apply a simple machine learning algorithm to predict the chances of the main characters of James Cameron's Titanic.
Here I made another attempt to visualise the chance of survival as a passenger of Titanic.