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by simran

Visualizing Missing Values in R

Data analysis is a useful component of outcome measurement because it helps you quantify your support and provides a much more compelling message when communicating

  • Excel

by simran

Using the VBA Recorder

When starting to write a VBA program, it is sometimes useful to first using the VBA record to translate the keystrokes into VBA code and

  • Predictive Analytics

by simran

Projecting High Dimensional Data into 2D using TSNE

In the age of big data, dealing with large high dimensional data is not uncommon. Data with with 100+ features can be useful for creating

  • Relational Database

by simran

Design Pattern - SQL Procedure Logging

One the responsibilities for individuals working with relational databases and writing stored procedures, is watching SPs to make sure they work flawlessly. And in instances

  • Predictive Analytics

by simran

Deriving the loss function for the sum squared error

In machine learning and statistics, loss functions are used to measure the performance of a machine learning algorithms. Loss functions are typically optimized to increase the