Often the hardest part of solving a machine learning problem can be finding the right estimator for the job. An estimator is a machine learning algorithm.
Different estimators are better suited for different types of data and different problems.
The flowchart below is designed to give someone using SciKit Learn bit of a rough guide on how to approach problems with regard to which estimators to try on your data.
Word ladder game (change only one letter to go from Fool to Sage): Fool, Pool, Poll, Pole, Pale, Sale, Sage. How? Dijkstra shortest path algorithm
Finance is highly nonlinear and sometimes stock price data can even seem completely random. Machine learning and Deep Learning have found their place in the financial institutions for their power in p
What are z score values? A Z score is the value of a supposedly normal random variable when we subtract the mean and divide by the standard deviation, thus scaling it to the standard normal distributi