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
Earn your certificate
Once you have completed this course, you will earn your certificate.