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Update Introduction to Machine Learning

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`@@ -246,5 +246,20 @@ Algorithm CV Variants`
`246`	`246`	`----------------------`
`247`	`247`	`Algorithm + Cross Validation; Runs the algorithm K times;`
`248`	`248`
	`249`	`+Overview`
	`250`	`+----------`
	`251`	`+a. Evaluated Naive Bayes model`
	`252`	`+ - predict()`
	`253`	`+ - confusionMatrix()`
	`254`	`+`
	`255`	`+b. Tried using Random Forest Algorithm`
	`256`	`+ - Overfit`
`249`	`257`
	`258`	`+c. Improved performance with Logistics Regression`
	`259`	`+ - Regularization;`
	`260`	`+ - Achieved performance goal;`
	`261`	`+`
	`262`	`+d. Logistic Regression Cross Validation`
	`263`	`+- Slightly below 70% target`
	`264`	`+- Better performance on real data;`
`250`	`265`

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