- Supervised, Unsupervised and Deep Learning Algorithms
- Data Preprocessing: Feature Engineering and Data Normalization
- Model Valuation and optimization
- Programming Languages: Python, R and/Scala
- Frameworks: PyTorch, Tensorflow, Scikit-Learn
Creating Information From Data
