Data Science in Banking and Finance

Data Science in Banking and Finance, When was the last time you went to the bank or wrote a cheque? Although the classic chequebook still has its uses, your debit card and mobile banking...

How To Become A Quantitative Analyst

How To Become A Quantitative Analyst?, The financial sector must also deal with a significant increase in unpredictability in order to adapt to the needs of today’s globally integrated economies. To operate in today’s...

Hypothesis Testing in R

Hypothesis Testing in R, A formal statistical test called a hypothesis test is used to confirm or disprove a statistical hypothesis. The following R hypothesis tests are demonstrated in this course. Each type of...

Exponential Smoothing Forecast in Time Series

Exponential Smoothing Forecast in Time Series, A forecasting technique for univariate time series data is exponential smoothing. With this strategy, forecasts are weighted averages of historical observations, with the weights of older observations decreasing...

How to perform TBATS Model in R

How to perform TBATS Model in R?, The term “TBATS” refers to a well-liked time series forecasting technique and stands for How to compare the performance of different algorithms in R? (datasciencetut.com) The following...

How to Calculate Ratios in R

How to Calculate Ratios in R? The following two techniques can be used in R to determine the ratio of values in two columns. The following data frame, which displays the total number of shots...

Matthews Correlation Coefficient in R

Matthews Correlation Coefficient in R, We can evaluate a classification model’s effectiveness using a metric called the Matthews correlation coefficient (MCC). How to perform Rolling Correlation in R » It is determined by: MCC =...

How to do Pairwise Comparisons in R?

How to do Pairwise Comparisons in R, To evaluate if there is a statistically significant difference between the means of three or more independent groups, a one-way ANOVA is utilized. The following null and...

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