Data Preparation is the process of collecting, cleaning, and transforming data and creating a workflow. Data cleaning, is also data scrubbing to detect & remove the missing values, special values, errors, and outliers and inconsistencies from data in order to improve the quality of data. Data Consistency have three types – In Record Consistency, Cross-Record Consistency, Cross-Dataset Consistency.
Data Munging or Data Wrangling is cleaning and transforming the data and pre-processing of data before the Data Mining. It invovles Enrich the Data, Standardization, Normalization, Applying Macro, Finding Patterns, Sort, Filter, Merge, Transpose and Parse the data. Data Transformation to different data types and handling missing Data values.
An algorithm (Machine learning) is a set of heuristics and mathematical calculations that develops a Model based on Data Content. To Develop a Model, an algorithm first analyze the data and generates patterns or trends. Later Algorithm Optimizes the model by Analysis of Data.
Different algorithms - Classification Algorithms, Regression Algorithms, Segmentation Algorithms, Association Algorithms and Sequence Analysis Algorithms. Choosing the Algorithms based on Tasks - Predicting a discrete attribute, Predicting a continuous attribute, Predicting a sequence, Finding groups of common items in transactions, Finding groups of similar items.
Xenonstack IT Infrastructure & DevOps expertize helps you to Build & Deploy the model in production based on Performance Requirements and Optimization of Model. XenonStack Machine learning & Deep Learning Solutions, Docker Solutions Helps you to Deploy Machine learning and Deep Learning Models (Python & R Models) on Docker and Kubernetes, supports Machine Learning and Data Processing libraries such as Spark MLLib and OpenNLP.
XenonStack Data Visualization & AI Services enables you to develop Interactive Dashboard, Data Product in form of ChatBots, Digital Agents and Decision Science framework, recommendation systems with progressive web Applications Using Angular.js, React.js, and Reactive Programming – Scala, Go.
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