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- User Authentication
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- Defensive Programmer: Advanced Concepts
- Secure Implementation & Coding
- Model Management: Building & Deploying Machine Learning Models in Production
- Model Management: Building Machine Learning Models & Pipelines
- Computational Theory: Using Turing, Transducers, & Complexity Classes
- Computational Theory: Language Principle & Finite Automata Theory
- Simplifying Regression and Classification with Estimators
- Linear Regression Models: Introduction to Logistic Regression
- Linear Regression Models: Multiple & Parsimonious
- Linear Regression Models: Building Models with Scikit Learn & Keras
- Linear Regression Models: Introduction
- Linear Algebra & Probability: Advanced Linear Algebra
- NLP for ML with Python: Advanced NLP Using spaCy & Scikit-learn
- Linear Algebra and Probability: Fundamentals of Linear Algebra
- AWS Cloud Practitioner 2019: AWS Cloud & the Value Proposition
- NLP for ML with Python: NLP Using Python & NLTK
- Avinash Upadhya's Transcript
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