With the data scientist taking important roles on the terms of research and experimentation, the scope of data science is surely surging at unexpected level. Through data science these data scientists interpret the patterns for channeling out future growth and for taking effective steps to achieve success. It is important for analyzing customer behavior which
Data science is the analysis of data collected from various sources used for the purpose of decision making in the corporate world. It is the method of analyzing the business statistics and computation. It is a perfect combination of programming, analytical and business skills for extracting meaningful insights from the raw data. As a data
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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