Multicollinearity: Multicollinearity is a problem when there is very high correlation between predictors. It increases the noise in the datawhich result to inaccurate results. Reasons: 1. It might happened because of wrong dummy variables. 2. It might possible that one predictors get calculated with other variables and we included both the variables in the
What is machine learning or Data Science? This is the first question that emerges in our mind. Where and how can we use these new edge technologies probably would be the next hurdle for new entrants in this field. We would like to talk about simple analytics in the early days. Hiring good analyst or
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