• at[] vs loc[]

• sqlalchemy

• pd.read_sql_table() vs pd.read_sql_query()

• finding outliers method

• when to use each outlier finding methods

• skewed and normal distributions

• advantages of catogerical datas

• Euclidean and manhattan distance

• data cleaning steps

• Data preprocessing

• KNN

• Neural Networks

• Why feature scaling is important

• Normalization and standerdilization

Data transformation to data wrangling

• Overview of why data transformation is important.
• Normalization
• Standardization
• When to use what data transformation
• Machine learning