GitHub - htnani/Harvard-Extension-School-R-programming-Spring-2017: The homework and tests for the class "Elements of Data Science and Statistical Learning with R" at Harvard Extension School for the Spring 2017 semester. Each completed homework is best viewed in hwX-w-solution.md where X is the homework number.

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Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
Final		Final
Homework 1 - Central Limit Theorem		Homework 1 - Central Limit Theorem
Homework 10 - Comparing LDA, Random Forest, and KNN Classifiers		Homework 10 - Comparing LDA, Random Forest, and KNN Classifiers
Homework 11 - Support Vector Classifiers and SVMs		Homework 11 - Support Vector Classifiers and SVMs
Homework 12 - Neural Networks		Homework 12 - Neural Networks
Homework 2 - Preliminary Analysis		Homework 2 - Preliminary Analysis
Homework 3 - Linear Models		Homework 3 - Linear Models
Homework 4 - Resampling and Bootstrapping		Homework 4 - Resampling and Bootstrapping
Homework 5 - Variable Selection and Model Regularization		Homework 5 - Variable Selection and Model Regularization
Homework 6 - Principal Component Analysis and Clustering		Homework 6 - Principal Component Analysis and Clustering
Homework 8 - Clustering Evaluation		Homework 8 - Clustering Evaluation
Homework 9 - Logistic Regression		Homework 9 - Logistic Regression
Midterm		Midterm

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The homework and tests for the class "Elements of Data Science and Statistical Learning with R" at Harvard Extension School for the Spring 2017 semester. Each completed homework is best viewed in hwX-w-solution.md where X is the homework number.