Data Science with R: Machine Learning

at NYC Data Science Academy -

(47)
Course Details
Price:
$2,990 10 seats left
Start Date:

Sat, Oct 31, 10:00am - Dec 05, 5:00pm Eastern Time (5 sessions)

Next start dates (2)

Important:
No class on Nov 28
Purchase Options
Description
Class Level: Intermediate
Age Requirements: 18 and older
Average Class Size: 15
Teacher: Kathy Liu

Flexible Reschedule Policy: This provider has flexible, free rescheduling for any-in person workshop. Please see the cancellation policy for more details

What you'll learn in this data science course:

This 35-hour Machine Learning with R course introduces both the theoretical foundation of machine learning algorithms as well as their practical applications in R. It will introduce you to data mining, performance measures and dimension reduction, regression models, both linear and generalized, KNN and Naïve Bayes models, tree models, and SVMs as well as the Association Rule for analysis. After successfully completing of this course, you will be able to break down the mathematics behind major machine learning algorithms, explain the principles of machine learning algorithms, and implement these methods to solve real-world problems.

Prerequisites:
  • Knowledge of R programming
  • Able to munge, analyze, and visualize data in R
Syllabus:
Unit 1: Foundations of Statistics and Simple Linear Regression
  • Understand your data
  • Statistical inference
  • Introduction to machine learning
  • Simple linear regression
  • Diagnostics and transformations
  • The coefficient of determination
Unit 2: Multiple Linear Regression and Generalized Linear Model
  • Multiple linear regression
  • Assumptions and diagnostics
  • Extending model flexibility
  • Generalized linear models
  • Logistic regression
  • Maximum likelihood estimation
  • Model interpretation
  • Assessing model fit
Unit 3: kNN and Naive Bayes, the Curse of Dimensionality
  • The K-Nearest Neighbors Algorithm
  • The choice of K and distance measure
  • Conditional probability: Bayes’ Theorem
  • The Naive Bayes’ Algorithm
  • The Laplace estimator
  • Dimension reduction
  • The PCA procedure
  • Ridge and Lasso regression
  • Cross-validation
Unit 4: Tree Models and SVMs
  • Decision trees
  • Bagging
  • Random forests
  • Boosting
  • Variable Importance
  • Hyperplanes and maximal margin classifier
  • Sort margin and support vector classifier
  • Kernels and support vector machines
Unit 5: Cluster Analysis and Neural Networks
  • Cluster analysis
  • K-means clustering
  • Hierarchical clustering
  • Neural networks and perceptrons
  • Sigmoid neurons
  • Network topology and hidden features
  • Back propagation learning with gradient descent

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

School Notes: We offer a certification licensed by the NYS Board of Education.

Still have questions? Ask the community.

Refund Policy

Note: This provider has a temporary cancellation policy for COVID-19 related cancellations which is as follows: 

Students receive a full refund of their tuition fees if they cancel their enrollment any time before the first day of the course or if they don't start the course at all (no-shows). We don't charge any registration or materials fee, and there is no charge for transferring to a future session of the course. 

----

Original cancellation policy (non-COVID-19):

We offer full refund if you are not happy with the first class and decide to drop it.

Start Dates (3)
Start Date Time Teacher # Sessions Price
10:00am - 5:00pm Eastern Time Kathy Liu 5 $2,990
This course consists of multiple sessions, view schedule for sessions.
Sat, Nov 07 10:00am - 5:00pm Eastern Time Kathy Liu
Sat, Nov 14 10:00am - 5:00pm Eastern Time Kathy Liu
Sat, Nov 21 10:00am - 5:00pm Eastern Time Kathy Liu
Sat, Dec 05 10:00am - 5:00pm Eastern Time Kathy Liu
10:00am - 5:00pm Eastern Time Kathy Liu 5 $2,840.50
This course consists of multiple sessions, view schedule for sessions.
Sat, Jan 16 10:00am - 5:00pm Eastern Time Kathy Liu
Sat, Jan 23 10:00am - 5:00pm Eastern Time Kathy Liu
Sat, Jan 30 10:00am - 5:00pm Eastern Time Kathy Liu
Sat, Feb 06 10:00am - 5:00pm Eastern Time Kathy Liu
10:00am - 5:00pm Eastern Time Kathy Liu 5 $2,840.50
This course consists of multiple sessions, view schedule for sessions.
Sat, Mar 06 10:00am - 5:00pm Eastern Time Kathy Liu
Sat, Mar 13 10:00am - 5:00pm Eastern Time Kathy Liu
Sat, Mar 20 10:00am - 5:00pm Eastern Time Kathy Liu
Sat, Mar 27 10:00am - 5:00pm Eastern Time Kathy Liu

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Reviews of Classes at NYC Data Science Academy (30)

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Data Science with R: Machine Learning
Reviewed by Anonymous on 12/9/2019
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