About this course

Module 1 - Introduction Learning Objectives Understanding the Domain Understanding the Dataset Python package for data science Importing and Exporting Data in Python Basic Insights from Datasets
Module 2 - Data Wrangling Identify and Handle Missing Values Data Formatting Data NormalizationSets Binning Indicator variables
Module 3 - Exploratory Data Analysis Descriptive Statistics Basic of Grouping ANOVA Correlation Correlation 2
Module 4 - Model Development Simple and Multiple Linear Regression Model Evaluation using Visualization Polynomial Regression and Pipelines R-squared and MSE for In-Sample Evaluation Prediction and Decision Making
Module 5 - Working with Data in Python Model Evaluation Over Fitting, Under fitting and Model Selection Ridge Regression Grid Search Model Refinement