data wrangling (cont product purchase transactions dataset attributes/features/properties - categorical data - duplicates filtering data missing values - normalization process string data transformations - typecasting date-based features decision tree decision tree based regression algorithms hyperparameters - node splitting - stopping criteria testing training - decision tree regressor - deep learning ann architectures autoencoder backpropagation characteristics cnn - comparing learning pipelines comparison of machine learning and distributed representational hierarchical layered representation keras lstms mlp model building process neural network - power - representational learning rnn tensorflow packages theano packages - deep neural network (dnn) density based clustering models deployment model custom development persistence model service descriptive statistics distributed machine learning community (dmlc) document object model (domparser dummy coding scheme edasee exploratory data analysis (edaeffect coding scheme efficient market hypothesis eigen decomposition - embedded methods ensemble model euler' number exploratory data analysis (eda) - correlations - data enhancing - distribution and trends loading and trimming data - outliers - preprocessing - visual analysis popular artist popular songs - user vs songs distribution - extensible markup language (xmlannotated with key components attributes content dom parser element elementtree parser - sax parser tag false positive rate (fpr) feature engineering business and domain business problem data anddatasets data types definitions evaluating model feature model accuracy models predictive models raw data representation of data unseen data feature extraction methods feature hashing scheme feature scaling jupyter notebook min-max - online videos