Data Preparation
Time-series Data Preparation
Time-series Data Preparation organizes and formats transactional data into time-series data to predict trends and seasonality in the data. Transactional data is timestamped data recorded over a period at no specific frequency, while time-series data ...
Train Test Split in Forecasting
Train Test Split in Forecasting Description The data is split randomly into train data and test data. Ideally, the split is in the ratio of 70:30 or 80:20 for Train and test. Why to use To evaluate the accuracy of the model with an unknown dataset. ...
Lag
Lag Description Lag, also called the sliding window method, is a backshift operator function. The window width is the number of places the data points are shifted. Why to use Lag is used to create a new list of data points by shifting them by an ...
Time-series Data Preparation Tests in Forecasting
The different tests available in Time-series Data Preparation under Forecasting are given below. Accumulation Missing Value Transformation Differencing Data Preparation Description The time-series data may contain missing values that need to be ...
Data Preparation in Forecasting
Data Preparation is the process of cleaning and transforming raw data into organized data so that it can be processed and analyzed further. In data preparation, data is reformatted, corrected, and combined to enrich the data. Data preparation is ...
Popular Articles
Sequence Generator
Sequence Generator Description Sequence Generator adds a sequence column to your dataset. Why to use To add Surrogate Keys, Primary Keys to the dataset. When to use When you want to add a sequence column to your dataset. When not to use — ...
Keyboard Shortcuts in Dashboard
Keyboard shortcuts are helpful for enhancing user efficiency. Rubiscape provides you with various shortcut keys to move around the RubiSight dashboard and perform tasks using keyboards. The table below describes the shortcuts available in rubiscape ...
Using Filters
When you plot a chart, all the data in the dataset is not required to be used. Also, within the data used, there might be sub-categories that you want to plot separately. You can view classified results in the charts using filters. Filters help you ...
Changing the Workspace
A workspace is a place where you can manage multiple datasets and projects. Workspaces are the parent structures that include datasets and projects. Workspaces are mapped to the login, which means you may have limited access to specific workspaces as ...
Advcance Course in AI_ML-Application form filling Guide
Course Application Help Guide Please follow the process below mentioned, for course application. 1. Register yourself on [ https://campus.unipune.ac.in/ccep/login.aspx ] 2. Select your Nationality and fill in Email id 3. Verify your email address 4. ...