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Feature selection in Machine Learning is the process of selecting the most relevant features (input variables) from your dataset that contribute the most to predicting the target variable. It helps improve model performance, reduces overfitting, and decreases training time. Learning about feature selection is an essential part of any machine learning course, as it ensures models are both efficient and effective in handling real-world data.

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If you’re looking for a best data science course, there are several reputable institutes offering comprehensive programs. These courses cover key topics like data visualization, statistical analysis, machine learning, and business intelligence, providing hands-on experience to prepare you for a career in data analytics. Many institutes also offer flexible online and classroom options to suit your schedule.

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If you’re looking for a

=https://www.interviewkickstart.com/courses/data-science-course]best data science course

, there are several reputable institutes offering comprehensive programs. These courses cover key topics like data visualization, statistical analysis, machine learning, and business intelligence, providing hands-on experience to prepare you for a career in data analytics. Many institutes also offer flexible online and classroom options to suit your schedule.

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