Abstract
The objective of this briefing is to present an overview of the topic, machine learning techniques currently in use or in consideration at statistical agencies worldwide. It is important to know the main reason why real-world scenarios should start exploring the use of machine learning techniques, terminology, approach and about few popular libraries in python, what regression is, by completely throwing light on simple as well as multiple linear and non-linear regression models and their applications, classification techniques, various clustering techniques. The material presented in this paper is the result of a study based on different models and the study of various datasets (analysis and choice of the correct model are important). While Machine Learning involves concepts of automation, it requires human guidance. Machine Learning involves a high level of generalization to get a system that performs well on yet-unseen data instances. Topics like regression, classification, and clustering, the report covers the insight of various techniques and their applications.
Highlights
Machine learning is used in almost every field nowadays like the data scientists predict if a human body cell which is at a risk to develop cancer is either benign or malignant by using this technology
It is worth pointing out that machine learning algorithms always involves the use of historical data in order to understand the relationship between two or more variables
Machine learning algorithms are popular for real world problems
Summary
Machine learning is used in almost every field nowadays like the data scientists predict if a human body cell which is at a risk to develop cancer is either benign or malignant by using this technology. Decision Trees if made with accuracy and precision from the historical data can help doctors prescribe proper medication to their patients [5]. In banking systems, this technology is used to do bank customer segmentation, approval of loan applications, etc. Ever thought of recommendations on the sites like YouTube Amazon or Netflix, this uses machine learning algorithms to provide certain product or service recommendations that the customer might find interesting to purchase or utilize. A2Z Journals telecommunication or automobile industry to predict customer churn, all can be done using the available libraries like scikitlearn of python with an ultimate ease [1]
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