Machine Learning Interpretability: Unveiling the Black Box with Case

Objective

Apart from basics of machine learning concepts, Participants would be introduced to real life scenarios by casestudy method, where Statistical and Machine Learning concepts can be applied to solve business/data problems. This course takes a deep dive to explain and interpret the machine learning output in the context of case-study using Zerocodelearning machine learning tools.

Syllabus

Introduction of statistical inferences, Exploratory data analysis, Data pre-processing, hypothesis, machine learning, different types of machine learning (supervised: Regression, classification, , time-series, decision tree, random forest, unsupervised learning : clustering, factor analysis, PCA), Overview deep learning, and hands on experience using Zerocodelearning machine learning tools