VGaneshKarthikeyan

unified_process inheritance tuples neural networks gradient descent solutions basic coding skills in python python basics data types and variables in probability maximum liklihood estimation f dimensionality reduction bias-variance lecture-1-motivation & applica linear regression-gradient des data conversion visiblity and scope java presesntation java basics c++ templates and exceptions object oriented programming inheritance and type casting introduction to java unified process and use case d 1.3 basic coding skills funds model for predictions_ml errors in exp observations final_day11_interfaces_roles_a final_day7_moremethod_overload final_day10_abstract_classes.p final_day8_visibility_labels_r final_day10_interfaces_roles a final_day9_method_overriding polymorphism java basics data abstraction java ppt-class_introduction introduction to dbms implementation of classes operators_in_c++ standard error experimentdata operator overloading linear_discriminat_analysis k-mean clustering numpy_defintion_description_us linear algebra review randomwalks_states_figures stochasticmodelling