my dataframe consists of the fillowing features$/$columns: $[$user input, course title. course parten, course review, skill gain, course rating, course detail$].$ Using python and machine learning;

$1.$Build content$-$based recommender systems using various unsupervised learning algorithms, such as: Distance$/$Similarity measurements, K$-$means.

$2.$ Build collaborative$-$filtering recommender systems using various supervised learning algorithms such as: K Nearest Neighbours, Linear Regression, Logistic Regression.