Predict Future outcomes using Decision Trees
A decision tree is a map of the possible outcomes of a series of related choices. It allows an individual or organization to weigh possible actions against one another based on their costs, probabilities and benefits.
Predict Future Sales using Forecasting Techniques
Demand forecasting is the science of predicting the future demand for a product or service. This prediction is based on past behaviour as well as current trends.
Pentaho+ Data Processing Methodology
There is a critical need for data processing while using data for analytical purposes. Agility and competitiveness are maintained with the help of an effective data processing strategy.
How to Extract and Parse Geo-coding data using OpenStreetMap and Python?
Geo-coding is a regular feature of location-based data. A simple download does not suffice to understand the data; it requires specialised methods of extraction and parsing to be understood.
Creating Web Applications with Interactive User Interfaces using Shiny
Creating interactive user interfaces, with a focus on maximisation of usability and user experience, is essential for building a web application. The goal is to make the user's interaction with the web application as simple and efficient as possible.
Data Cleansing for Machine Learning
Databases may generally contain incorrect, incomplete, duplicate or improperly-formatted data. It is essential to employ data cleaning to remove these inconsistencies and prepare data for further analysis.
Forecasting Product Demand
Demand forecasting provides an estimate of the amount of goods and services that will be purchased in the foreseeable future. Demand forecasting facilitates decision-making and strategic planning.
Time-Series Forecasting using ARIMA model
ARIMA is a time-series forecasting tool that accommodates seasonality, varying trends and multiple parameters.
Time-Series Forecasting using TBATS model
Time-series data with multiple seasonal effects are difficult to model and require the use of specialised algorithms. TBATS is a time-series forecasting method that accounts for multiple seasonalities.
