robust standardized feature selection methods figure module axes objects cosine curve - sine curve - filter methods fine-tuning pre-trained models fixed-width binning - forecasting gold price dataset modeling acf and pacf plots arima( , , ) arima_grid_search_cv() forecast(method mean and standard deviation plot - plotgold prices stationarity statsmodel library test statistic problem statement traditional approaches arima model - differencing stationarity unit root tests generalized linear models gini impurity/index global parameters global vectors for word representation (glove) gradient boosting machines (gbmmodel graph legend - grayscale image pixels grid search breast cancer dataset svm gridsearchcv(method hacking skills hierarchical clustering model - histogram of oriented gradients (hog) histogramsprice distribution - hybrid-recommendation engines hyperparameters decision tree definition grid search breast cancer dataset svm randomized search - hyper text markup language (html) - hypothesis models image data binning image intensity distribution canny edge detector channel pixels - exif data grayscale image pixels hog image aggregation statistics raw image - surf two-layer cnn feature map visualizations - pooling stride visualizing vbow - inferential statistics information gain instance based learning methods internet movie database (imdb) interpretation model decision trees logistic regression model data point with no cancer - features malignant cancer worst area feature - skater - inter-quartile range (iqr) java script object notation (jsondict nested attributes object structure pandas - sample file -fold cross validation - -means algorithm - -means clustering model knowledge discovery of databases (kdd)