Your Gateway to Data Science Insights
Calculate White’s Test in R, The White test is a statistical test that determines whether the variance of errors in a regression model is constant, indicating homoscedasticity. Halbert White proposed this test, as well...
Job duties and responsibilities: Work closely with business/product team and understand their priorities/roadmap Build an automated and algorithmic-driven solution that will drive the right decisions for the business Develop detailed analytics framework around impact...
What you will be doing? Investigate new trends and business areas, working across a wide variety of industries on a range of topics that are important to the global investment community Develop and use...
Data Scientist – Job Descirption Support development of algorithms that detect and interpret changes in system behavior and predict timing of future maintenance needs. Have atleast 3-5 years of data science experience. Apply statical-based...
Binning in R, you will learn about data binning in this tutorial. Binning develops distinct categories from numerical data that are frequently continuous. It’s very handy for comparing different sets of data. Binning is...
Data Normalization in R, data normalization is a vital technique to understand in data pre-processing, and you’ll learn about it in this tutorial. Different numerical data columns may have vastly different ranges, making a...
YOU’RE GOOD AT Work with case (and proposal) teams Executes & delivers original analysis and insights to case teams, typically owns all or part of an analytics module and may be integrated with a...
Recurrent Neural Networks, This is a follow-up to one of our previous posts, which you can read here if you missed it. Let’s look into Recurrent Neural Networks and the different types of issues that they...
Convolutional neural networks, Let’s look at a picture classification problem. Assume you have a data set including numerous photographs of planes and cars. And you’d like to create a model that can recognize and...
Plot Categorical Data in R, Categorical variables are data types that can be separated into categories. Race, sex, age group, and educational level are examples of categorical variables. This tutorial describes three approaches to...
You currently have an Ad Blocker on.
Please support FINNSTATS.COM by disabling these ads blocker.
