Select appropriate classifiers empirically and automatically for the prediction scenarios from scikit-learn, XGBoost, LightGBM, CatBoost, spaCy, Optuna, Hyperopt, Ray, and many more. — As machine learning professionals, we must consider several aspects to develop a good model. It involves exploratory data analysis, data cleansing, selecting the optimal set of independent variables, picking the most appropriate algorithm, implementing it efficiently, fine-tuning the parameters to predict the outcome more accurately, and a long list of…