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25.10.2

Implementing Deep Learning: Practical Deep Learning Using Frameworks & Tools

ConvNets: Introduction to Convolutional Neural Networks

Applied Deep Learning: Unsupervised Data

Improving Neural Networks: Data Scaling & Regularization

Improving Neural Networks: Neural Network Performance Management

Ethical Hacker: Pentesting, Laws, & Standards

Functions in Python: Gaining a Deeper Understanding of Python Functions

Data Research Statistical Approaches

Data Research Techniques

Data Considerations in Analytics

Conditional Statements & Loops: While Loops in Python

Implementing ML Algorithm Using scikit-learn

Linear Algebra & Probability: Advanced Linear Algebra

Process & Applications

Python Classes & Inheritance: Getting Started with Classes in Python

Data Science Statistics: Applied Inferential Statistics