==================LAB TASKS==================
Task 01: Exploration of Python Modules, Data Types and Function for Data Collection.
Task 02: Discriptive Stastics.
Task 03: Exploratory Data Analysis: Variance, Standard Derivation, Summarization, Distribution and Statistical Inference.
Task 04: Data Distributions using Box Plot and Scatter Plot, Outliers using Plot on Sample Dataset (IRIS DATASET).
Task 05: X,Y Graph, Bar-Chart, Histogram and Pie Chart.
Task 06: Correlation and Covariance Analysis (Heart_disease_pridiction.csv).
Task 07: Build and Evaluate the Model using Regression (Tips Dataset).
Task 08: Identify and Analyze Missing Values in a Dataset.
Task 09: Build and Evaluate the Decision Tree Model.
Task 10: Build and Evaluate the Decision Tree Model for Multi-Class Classification.