Data Mining is the process of finding anomalies, patterns and correlations within large data sets to predict outcomes. Using a broad range of techniques such as statistics and machine learning , you can use this information to increase revenues, cut costs, improve customer relationships, reduce risks and more. Orange is a platform built for data mining, predictive analytics on a GUI based workflow. This signifies that you do not have to know how to code to be able to work using Orange and mine data, crunch numbers and derive insights. Orange comes with many machine learning and predictive analytics toolbox such as supervised learning, unsupervised learning, model evaluation, image analytics, text mining that make it a great tool for predictive analytics and machine learning. This Data Mining and Machine Learning with Orange training course will teach you how to apply data mining and machine learning techniques using Orange.
Text Mining is the process of exploring and analysing large amounts of unstructured text data aided by software that can identify concepts, patterns, topics, keywords and other attributes in the data. Text mining helps organisations find potentially valuable business insights in corporate documents, customer emails, call center logs, verbatim survey comments, social network posts, medical records and other sources of text-based data. Orange is a powerful free open-source data analytics and visualisation tool for text mining.
Orange is a platform built for data mining, predictive analytics on a GUI based workflow. This signifies that you do not have to know how to code to be able to work using Orange and mine data, crunch numbers and derive insights. You can perform tasks ranging from basic visuals to data manipulations, transformations, and data mining. It consolidates all the functions of the entire process into a single workflow.
By attending Data Mining and Machine Learning with Orange workshop, delegates will learn:
- Apply data mining and machine learning principles to assess business insights
- Integrate information from datasets
- Apply predictive data modelling techniques to identify underlying trends in data
- Apply machine learning classification techniques to gain new insights from data
- Apply clustering techniques to discover data pattern and make decision
- Develop prototype algorithms with dimension reduction techniques
- Construct association rules to Identify patterns across multiple data sets to derive insights
By attending Text Mining with Orange workshop, delegates will learn:
- Text Preprocessing
- Text Clustering
- Text Classification
- Topic Modeling
By attending Predictive Analytics with Orange workshop, delegates will learn:
- Overview of Orange
- Classification and Predictive Modeling
- Regression Analysis
- Clustering
- Image Analytics
- Dimension Reduction
- Data Analysts
- Data Scientists
- Text Analysts
- Marketeers
- Engineers