SAS Custom Macros That Make Feature Engineering Easy for Data Scientists, Data Engineers, and Machine Learning Specialists
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Data Science
This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
The Role of Data Science Initiative in Transforming the Industry
Data science is the most advanced transformative tool currently available among business owners. No wonder organizations are increasingly moving toward data-driven decision making. According to… Read More »The Role of Data Science Initiative in Transforming the Industry
How to Job in Power BI in 2021?
Power BI has risen as the pioneer in business investigation. Today, there is a lot of interest in Power BI. Career opportunities in business intelligence… Read More »How to Job in Power BI in 2021?
Bootstrapping Time Series for Gold Rush
Bootstrap aggregating (bagging), is a very useful averaging method to improve accuracy and avoids overfitting, in modeling the time series. It also helps stability so… Read More »Bootstrapping Time Series for Gold Rush
t-SNE : A gem in Data Visualisation
What is t-SNE? It is a Data Visualization Technique t-SNE stands for t-stochastic neighbor embedding Developed by Laurens van der Maaten and Geoffrey Hinton in 2008. It is… Read More »t-SNE : A gem in Data Visualisation
The Worst Covid-19 Misleading Graphs
Graphs are a great tool to appeal to a wide audience, They are often used to deliberately mislead, not inform, A few creative ways graphs… Read More »The Worst Covid-19 Misleading Graphs
New Tests of Randomness and Independence for Sequences of Observations
There is no statistical test that assesses whether a sequence of observations, time series, or residuals in a regression model, exhibits independence or not. Typically,… Read More »New Tests of Randomness and Independence for Sequences of Observations
Approaches to Time Series Data with Weak Seasonality
In the previous article, we have tried to model the gold price in Turkey per gram. We will continue to do that to find the… Read More »Approaches to Time Series Data with Weak Seasonality
Odds vs Probability vs Chance
Data Points There are a number of different terms used for probability in statistics. Each has a distinct (and usually precise) meaning. This article examines… Read More »Odds vs Probability vs Chance