(as part of the Data Science Certification Program from IBM Cognitive Class)
- Data Acquisition
- Data Wrangling
- Identify and handle missing values
- Identify missing values
- Deal with missing values
- Correct data format
- Data standardization
- Data Normalization
- Binning
- Dummy Variable
- Identify and handle missing values
- Exploratory Data Analysis
- Analyzing Individual Feature Patterns using Visualization
- Descriptive Statistical Analysis
- Basics of Grouping
- Correlation and Causation
- ANOVA
Important variables to take into account when predicting the car price :
Continuous numerical variables:
- Length
- Width
- Curb-weight
- Engine-size
- Horsepower
- City-mpg
- Highway-mpg
- Wheel-base
- Bore
Categorical variables:
- Drive-wheels