Data Science – Interview Q & A. Set-1: Difference Between Training & Testing Set? Difference In Validation Set & Testing Set? Define Bias & Variance. How You Will Handle Missing Values In The Dataset ? How Decision Tree Classifier Works ? How Logistic Regression Model Evaluated? Assumptions Of Linear Regression Model. What Is Multicollinearity How To Handle It? Explain Why Performance Of XGBoost Is Better & Why ? Why Is An Encoder & Decoder Model Is Used In NLP ? Set-2: Difference In Machine Learning & Artificial Intelligence ? Difference In Deep Learning & Machine Learning . What Is Cross

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