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Subject Syllabus

AL702 (C) - Predictive Analytics

AIML · Semester 7

Course Modules

Learn topic-wise with Hyper AI and revise using mapped PYQs.

Data Product Data Product Examples in Enterprise Developing a Data Product Strategy

Reading CSV & JSON Files Processing Structured Data in Python Live-Coding: JSON Extracting Simple Statistics from Datasets Data Filtering and Cleaning Processing Text and Strings in Python Processing Times and Dates in Python

Matrix Processing and Numpy Introduction to Data Visualization Introduction to Matplotlib urllib and BeautifulSoup

Introduction to Training and Testing Gradient Descent in Python Gradient Descent in TensorFlow

Meaningful Predictive modelling Regression Diagnostic Over- and Under-Fitting Classification Diagnostics: Accuracy and Error Classification Diagnostics: Precision and Recall Codebase for Evaluation and Validation Model Complexity and Regularization Evaluating Classifiers for Ranking