Simple ML code and visualisations
Resources for self teaching Machine Learning and other related fields (Just to get you started)
https://www.kaggle.com/wiki/LinearRegression | https://www.coursera.org/learn/machine-learning/home/week/2 In machine learning and statistical modeling, regression analysis is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables (or 'predictors').
https://www.coursera.org/learn/machine-learning/home/week/3 In machine learning and statistics, classification is the problem of identifying to which of a set of categories (sub-populations) a new observation belongs, on the basis of a training set of data containing observations (or instances) whose category membership is known. An example would be assigning a given email into "spam" or "non-spam" classes or assigning a diagnosis to a given patient as described by observed characteristics of the patient (gender, blood pressure, presence or absence of certain symptoms, etc.).
https://www.coursera.org/learn/natural-language-processing/home/week/1 Natural language processing is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages.