Machine Learning Interview Guide by Guha Rehan;

Author:Guha, Rehan; [Guha, Rehan]
Language: eng
Format: epub
Publisher: BPB Publications
Published: 2023-02-15T00:00:00+00:00

Conclusion

Regression problems are essential problems in the field of ML and are used in areas that have a tremendous impact on different fields. This chapter has offered a detailed discussion of the basic ideas and techniques that are used in solving regression problems. When the knowledge from these topics is achieved, readers will be ready to build, assess, and enhance regression models, thus providing worthwhile and correct solutions to organizations. With the help of acquired knowledge, would-be ML practitioners can face regression questions in interviews and prove their readiness to work in this sphere, which is critical for the entire ML field.

In the next chapter, clustering and dimensionality reduction are two significant methods to discover patterns and analyze data intricacy. Clustering, on the other hand, is centered on the ability to classify data points that have similar characteristics to a given category that will help in perceiving subgroups of data that are not recognizable at a glance. Dimensionality reduction is the process of reducing the number of features in a dataset while retaining necessary and significant details in an easier way for analysis. Both these techniques are extremely useful in EDA and feature engineering, as well as in enhancing the performance of the ML models.

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