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Evaluation Metrics for Regression models- MAE Vs MSE Vs RMSE vs RMSLE

Share0 Share +10 Tweet0 Machine learning & Data Science course Everything you need to start your career as data scientist. Learn machine learning fundamentals, applied statistics, R programming, data visualization with ggplot2, seaborn, matplotlib and build machine learning models with R, pandas, numpy & scikit-learn using rstudio & jupyter notebook.More than 15 projects, Code files […]

What is Deep Learning?

Share0 Share +10 Tweet0 Machine learning & Data science with R Looking to kick start your machine learning & data science career? Learn supervised, unsupervised machine learning models like linear regression, logistic regression, KNN, clustering, PCA, naive bayes & neural networks with this video based online course. 80% OFF-Enroll Today Do you know what is […]

How to become a Data Scientist or Machine Learning engineer?

Share0 Share +10 Tweet0 Do you want to become a Data Scientist? Join machine learning & data science course to become a data scientist. Online video course to help you with;Building your portfolio & profileMachine learning fundamentalsR programming language & PythonApplied StatisticsSupervised machine learning models like linear regression, logistic regression, neural networks etc.Unsupervised machine learning […]

How to do KNN with Python & Sci-Kit Learn

KNN or K-nearest neighbor is one of the easiest and most popular machine learning algorithm available to data scientists and machine learning enthusiasts. In this post, we are going to implement KNN model with python and sci-kit learn library. You can also implement KNN in R but that is beyond the scope for this post. […]

How To Use Azure ML Studio to perform Multiclass Logistic Regression

Azure ML studio has become of the most popular machine learning tool among machine learning community and it is currently widely used across industries & geographies. Thanks to azure’s hold in enterprise software development, it wasn’t a big surprise. Azure ML studio makes it easier to run all kind of machine learning models using built-in […]

R Programming Tutorial-R Operators

Share0 Share +10 Tweet0 Get Access to the Machine learning Course!Are you learning R operators? What about loop, function or visualization with R? Anyway, ultimate goal is to learn machine learning. Right? Don’t miss out to this great opportunity to get into machine learning & data science. Enroll today & learn everything about machine learning […]

How to Perform ANOVA analysis in R for Marketing

Share0 Share +10 Tweet0 Sign Up Do you aspire to become a Data scientist?Do you want to move into a high paying career of machine learning & data science?Are you looking to change your job?Do you dream of a better career & life?If you answered“Yes” to any of the above question, you need to enroll […]

Business Analytic Part 9-Regression Analysis

Welcome to the chapter 9 of business analytics tutorial where we will start with subjects related to predictive modelling in data science. In this chapter, we will cover Regression analysis and its variants. We will first go through the definitions and concepts and later cover them in detail with case studies to see their real […]

Business Analytics Part 8-More Data Science & Statistical Concepts

We have already covered many data science and statistical concepts in previous chapters. We will continue with basic and advance data science related statistical concepts with their business applications in this chapter as well. Data Science & Statistical Concepts Skewness Skewness is the measure of the asymmetry or deviation from the symmetry in statistical analysis. […]

Business Analytics Part 7- Descriptive Analysis Vs Inferential Analysis

You have already covered good ground if you have been following this tutorial from beginning but if you haven’t, you can simply use the link for previous chapters at the bottom of each post. So far, we have covered various statistical tests like f test, p test, one way ANOVA, two ANOVA etc. They are […]

Business Analytics Part 6- Two Way Analysis of variance (ANOVA)

In the last chapter about one way ANOVA, we studied how one way ANOVA is used to measure a variable or output or factor for more than two groups at different interval or level. Suppose we instead of one variable, we have two variables. In that case, we will two way ANOVA. Welcome to part […]

Business Analytics Part 5- One Way Analysis of Variance (ANOVA)

As we have already seen been through t test and f test in previous chapters, it is a good time to look at ANOVA in detail. In this chapter we will go through One Way ANOVA. In the last chapter, we have mentioned that t test for independent variable is equivalent to ANOVA if you […]

Business Analytics Part 4- Analysis of variance (ANOVA)

As mentioned in the first tutorial that these chapters are designed to help you learn and train for SAS Business Analyst certification and other data scientist certifications, we are going to first focus on topics which are more relevant for that and then we will explore the vast ocean of statistical concepts. if you have […]