I am quite new to Quantconnect but determined to study hard to advance quickly.

One of the issues i want clarifications on is about Technical Indicators Algorithms and Machine learning Algorithms.. Are these 2 trading methods strictly independend of each other or not. Specifically i want to know whether technical indicators such as RSI, MCAD, Bollinger bands etc can be used to develop machine learning algorithms and if so how? . Some machine learning models are Linear Regression, SVM, KNN, Logistic Regression, Random Forest, Decision Trees etc.  So how can technical indicators be used in any of these machine learning algorithms if it is possible, I am a python programmer.

Please i will be most grateful for an elaborate education on this matter.