Course overview:

• Programming basics
• Statistics
• Fundamentals of Python
• DataFrames
• Data Cleaning
• Plotly Visualization
• Introduction to Machine Learning
• Characteristics of Regression, Classification, Clustering models
• Preperation tools for Predictive models
• Regression ( Linear, Random Forest, Decision Tree)
• Classification ( Logistic Regression, XGBoost, LightGBM, Random Forest)