Python or R Programming, Algorithms and Data Structures in Python, Problem Solving Techniques, OOP Concepts, Version Control Git
Calculus, Linear Algebra, Probability and Statistics, Discrete Mathematics, Optimization Technologies, Information Theory
Data Preprocessing, Statistical Data Analysis, Data Visualization, Feature Engineering, Pipelines for Data Processing
Queries, Joins, Database Design, Indexing
Scipy, Scikit-learn, Keras, TensorFlow, PyTorch, Pandas, NumPy, OpenCV, Docker, Jupyter Notebook
Supervised Learning, Unsupervised Learning, Model Evaluation and Cross Validation, Optimization Techniques
ANN and CNN, RNN and LSTM, GANs, Transformer Models
Text Processing, Word Embeddings, Transformers, BERT
Image Processing, CNN, Object Detection, Image Segmentation
Bellman Equation, Monte Carlo Methods, Deep Q-Network, Policy Gradient Methods
Cloud Platforms AWS, Azure, Deployment and Scaling MLOps