Useful tips for everyday
How can you improve the accuracy of the gradient boosting Regressor? General Approach for Parameter Tuning Choose a relatively high learning rate. Determine the optimum…
What is the relationship of one variable to another? A correlation is the measurement of the relationship between two variables. These variables already occur in…
How do you use sigmoid in keras? sigmoid function Sigmoid activation function, sigmoid(x) = 1 / (1 + exp(-x)) . Applies the sigmoid activation function.…
How do you find the correlation coefficient manually? This tutorial provides a step-by-step example of how to calculate a Pearson Correlation Coefficient by hand for…
Are ordinary least squares linear? In statistics, ordinary least squares (OLS) is a type of linear least squares method for estimating the unknown parameters in…
Which is worse, underestimation or over estimation? Whilst obviously accurate estimates are the best outcome, over-estimation is less bad than underestimation. Underestimation can impact dependencies…
How do you explain autoencoder? Autoencoder is an unsupervised artificial neural network that learns how to efficiently compress and encode data then learns how to…
How does one determine which independent variables are statistically significant? The coefficients describe the mathematical relationship between each independent variable and the dependent variable. The…
Which is the least squares estimator for β2? Since E(b2) = β2, the least squares estimator b2 is an unbiased estimator of β2. If many…
What is the rank of a distribution? Rank–size distribution is the distribution of size by rank, in decreasing order of size. For example, if a…