mxmaria/data_analysis_with_python

This repository contains completed python notebooks for IBM’s “Data Analysis with Python” course

Data_analysis_with_Python

This repository contains completed python notebooks for IBM’s “Data Analysis with Python” course

Table of content

Data wrangling

• Identify and handle missing values
  • Identify missing values
  • Deal with missing values
  • Correct data format
• Data standardization
• Data Normalization (centering/scaling)
• Binning
• Indicator variable

Data wrangling notebook

Exploratory Data Analysis

• Import Data from Module
• Analyzing Individual Feature Patterns using Visualization
• Descriptive Statistical Analysis
• Basics of Grouping
• Correlation and Causation
• ANOVA

Exploratory Data Analysis notebook

Model Development

• Linear Regression and Multiple Linear Regression
• Model Evaluation using Visualization
• Polynomial Regression and Pipelines
• Measures for In-Sample Evaluation
• Prediction and Decision Making

Model Development notebook

Model Evaluation and Refinement

• Model Evaluation
• Over-fitting, Under-fitting and Model Selection
• Ridge Regression
• Grid Search

Model Evaluation and Refinement notebook

Peer-graded assignment

• House Sales in King County, USA

Peer-graded assignment notebook