Predictive Analytics:
- Forecasting
- Optimization
- Clustering
- Regression
- Pattern Recognition
- Classification
- Correlation, Principal Component, and Data Decomposition Anlaysis
- Classical Statistics & Explanatory Inference
Tools typically used:
- Python & SQL
- sci-kit learn packages
- xgboost, lgbm, catboost, and others
- Data staging and processing is done using Data Engineering tools
Data Science Example
How to predict US stocks using simple machine learning algorithms
We used SnowFlake & Python scikit-learn linear regression and Naive Bayes