COEN 4850 101 Intro to Intelligent Systems

• This course provides a broad exposure to intelligent systems, including related fields such as artificial and computational intelligence. Topics include intelligent agents, search, game playing, propositional logic and first-order predicate calculus, uncertainty, learning, communication and perception, and philosophical foundations of intelligent systems. This course is a COEN design elective in the area of intelligent systems

• The data should be split into training data and test data in the ratio of 90:10.(1 point)

1. Read in the training data2. (10 points)

• Prepare the data[Investigate what data that has a linear or some kind of relation to the sale price
• Drop the unimportant features or less unimportant features
• Drop features which has many NaN values
• descriptive + statistics + summary + histogram + scatterplot + missing data] 3.( 2 points) standardizing data if needed4.(5 points)

4. create the model: -explain each step 5.( 2 points) fit the data 6.( 2 points) summarize history for accuracy 7.(2 points) ( points) summarize history for loss

• In the appropriate cells, explain what you are doing.