Overview
This will introduce students to the basic principles of machine learning and data science. It is designed to start at the course in Python, ranging from the interactive management and querying of databases with SQL to the different types of machine learning techniques: regression, classification, clustering, and time series forecasting. The entire course is a combination of hands-on projects and labs through which one will be geared up with model building in machine learning and data analysis and implementing sophisticated algorithms.
Skills You’ll Gain:
- Programming data analysis in Python.
- SQL Managing and querying a database.
- Data exploration and visualization techniques.
- Building machine learning models (linear regression, classification, clustering).
- Works with the advanced algorithms (Random Forest, KNN, Boosting).
- Time Series Forecasting.
- Hands-on practice with real datasets.
