Selected projects completed during 550+ hours of hands-on curriculum with 1:1 industry expert mentor oversight, implementing machine learning topics such as regression, clustering, deep learning and NLP.
Here are the topics covered:
- Linear and Logistics Regression
- Random Forest
- Data Wrangling, EDA & Feature engineering using NumPy, Pandas, Matplotlib, Seaborn
- K-Mean clustering
- Grid Search
- Bayesian Optimization
- SQL