AL-702 (C) Predictive Analytics Notes
5 notes for Predictive Analytics, unit by unit.
Notes for AL-702 (C)
- Unit 1 · Short notes Introduction to Data Products Data Product · Data Product Examples in Enterprise · Developing a Data Product Strategy
- Unit 2 · Short notes Reading Data in Python Reading CSV & JSON Files · Processing Structured Data in Python · Live‑Coding: JSON · Extracting Simple Statistics from Datasets · Data Processing in Python · Data Filtering and Cleaning
- Unit 3 · Short notes Python Libraries and Toolkits Matrix Processing and NumPy · Introduction to Data Visualization · Introduction to Matplotlib · urllib and BeautifulSoup
- Unit 4 · Short notes Gradient Descent Classification in Python Introduction to Training and Testing · Gradient Descent in Python · Gradient Descent in TensorFlow
- Unit 5 · Short notes Diagnostics for Data 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
More for AL-702 (C)
Other 7th semester AIML subjects
- AL-701 Computer Vision
- AL-702 (A) AI in Gaming
- AL-702 (B) Advance Machine Learning
- AL-702 (D) Machine Learning for Data Science
- AL-703 (A) Compiler Design
- AL-703 (B) Augmented and Virtual Reality
- AL-703 (C) Agile Software Development
- AL-703 (D) Internet and Web Technology
- AL-705 Skill Development Lab