Matlab Code - Length-Displacement Ratio - Validation Data set - Data Analytics Assessment Answer

Matlab Code, Length-Displacement Ratio, Validation Data set, Data Analytics Assessment  Answer

Assessment  Task:

In completing this question you may also like to consider:
1. Is it reasonable (or practical) to learn the clusters on all the data?
2. Can the data be aggregated in any way to reduce the volume of data? Does such aggregation alter the ndings?

Using fitlm in MATLAB, a model to predict the resistance per unit weight of displacement as a function of the other variables. Discuss if this is a valid model.
2. Given the above model as a starting point, investigate how it can be improved. In this you should consider:
(a) The use of training and validation datasets. The data should be divided such that the split between these two sets is approximately 80% for training and 20% for validation.
(b) Are all variables important for the model?

Fit a model using Linear regression, Ridge and LASSO regression on noBowdata. With these models consider the following:
(a) Determine the best value of to use in the Ridge model to obtain the best predictive model.
(b) Determine the best value of to use in the LASSO model to obtain the best predictive model.

Fit a model using Linear regression, Ridge and LASSO regression on the data contain- ing the Bag-of-Words features. With these models consider the following:
(a) Determine the best value of to use in the Ridge model to obtain the best predictive model.
(b) Determine the best value of to use in the LASSO model to obtain the best predictive model.

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