Events

1. Introduction to Data Science:
- Understand the fundamentals of data science and its applications.
- Explore the data science lifecycle: from data collection to analysis and interpretation.
- Learn about different types of data and their significance in decision-making processes.
2. Simple Machine Learning Project using R Language:
- Step-by-step tutorial on setting up R environment for machine learning.
- Data preprocessing techniques: cleaning, transforming, and preparing data for analysis.
- Introduction to various machine learning algorithms: decision trees, regression, and clustering.
- Hands-on practice sessions to implement machine learning models in R.
- Evaluation and validation techniques to assess model performance.
- Insightful visualization of results for better understanding and communication.