Useful tips for everyday
What is difference between reinforcement learning and deep reinforcement learning? Difference between deep learning and reinforcement learning The difference between them is that deep learning…
When to use Bic to compare estimated models? It is important to keep in mind that the BIC can be used to compare estimated models…
How to perform feature selection for categorical variables? If i have a dataset with 50 Categorical and 50 numerical variables then how can i perform…
When to use natural logs in log transformation? I n log transformation you use natural logs of the values of the variable in your analyses,…
Do you need a strong PC for machine learning? A CPU such as i7–7500U can train an average of ~115 examples/second. So, if you are…
Can a contour based decision boundary be plotted? In this way, Single Line Decision Boundary can be plotted for any Logistic Regression based Machine Learning…
What is the purpose of using a box and whisker plot for a data sample? A box and whisker plot is a visual tool that…
What are the outputs of ANOVA? Complete the following steps to interpret a one-way ANOVA. Key output includes the p-value, graphs of groups, group comparisons,…
Which K NN model is more complex and will be over fitted? In general the Training accuracy rises as the model complexity increases, for KNN…
How many ways can letters be arranged? How many different ways can the letters P, Q, R, S be arranged? The answer is 4! =…