- Linear Algebra
- Matrices and Vectors
- Identity and Inverse
- Matrices
- Linear Dependence and Span
- Conditional Probability
- Expectation, Variance and Covariance
- Common Probability
- Distribution
- Useful Properties of Common Functions
- Python Built-in types
- Python operators
- Python Control flow
- Python functions
- User defined and Lamda functions
- Python classes
- Python modules and packages
- Numpy
- Pandas
- Dataframe manipulation
- Introduction to Deep
- Learning
- Gradient based Learning
- Hidden Units
- Back Propagation
- Introduction to Computer
- Vision using TensorFlow
- Convolutional Neural Network (CNN)
- CNN Architecture
- Object detection
- Transfer Learning
- Introduction to Natural
- Language Processing (NLP)
- What is NLP
- Sentence Segmentation and Tokenization
Stemming, - Lemmatization
- Introduction to the NLTK library Bag-of-Words, TF-IDF Word-To-Vec Embedding RNN Architecture
- Introduction to Transformer