1) Learned to use Python libraries like Numpy, Pandas, etc. to analyze data efficiently.2) Exploratory Data Analysis (EDA) in the data science field.3) To use Linear Regression, Logistic Regression, and Decision Trees for building machine learning models.4) Solved Classification and Regression problems using machine learning.5) Evaluate machine learning models using the right evaluation metrics.6) Learnt to improve and enhance machine learning model’s accuracy through feature engineering