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...
Tagged: Data Science
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...
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...
When to Use plotly?
When to Use plotly?, as you can see, has a number of features that make it exciting and fun to use. There are numerous situations where ggplot or plotly could be used, but the...
PCA for Categorical Variables in R
PCA for Categorical Variables in R, Using Principal Component Analysis to minimize the dimensionality of your data frame may have crossed your mind (PCA). However, can PCA be applied to a data set with...
How to combine Multiple Plots in R
How to combine Multiple Plots in R, recently came across Thomas Lin Pedersen’s patchwork program, and how simple it is to use this package to integrate numerous ggplot2 plots into a single plot composition....
Missing Value Imputation in R
Missing Value Imputation in R, Every data user is aware of the problem: Nearly all data sets contain some missing data, which can cause major issues like skewed estimations or decreased efficiency owing to...
XGBoost’s assumptions
XGBoost’s assumptions, First will provide an overview of the algorithm before we dive into XGBoost’s assumptions. Extreme Gradient Boosting, often known as XGBoost, is a supervised learning technique that belongs to the family of...
Method for Counting TRUE Values in a Logical Vector
Method for Counting TRUE Values in a Logical Vector, The following techniques can be used to determine how many TRUE values are present in a logical vector in R: Method 1: Use sum() Method...
How to find employment as a Data Scientist
How to find employment as a Data Scientist, you are letting potential employers know that you are fresh to the field each time you complete a new online course designed for beginners and list...
