How do I learn Machine Learning
Introduction Like anything else ,its not too difficult to learn Machine Learning but yes you need to put time and efforts for practicing it.More you practice,the more you learn.You can have a look on posts…
What are Dimentionality Reduction Techniques
Introduction Consider the case where you are being provided a data set which has say ten thousand independent variables or columns or predictor variables and say ten millions of records or observations or rows. Let’s…
Deviance and AIC for Logistic Regression in R
Introduction This is for you,if you are looking for Deviance,AIC,Degree of Freedom,interpretation of p-value,coefficient estimates,odds ratio,logit score and how to find the final probability from logit score in logistic regression in R. Course for Beginners:…
Logistic Regression output interpretation in R
Introduction This is for you if you are looking for interpretation of p-value,coefficient estimates,odds ratio,logit score and how to find the final probability from logit score in logistic regression in R. Let’s begin !! For…
Avoid Over fitting & start crossvalidation
Introduction If you want to learn what is K-fold cross-validation and how is it done in R,then please follow along.Open your RStudio and have fun!! Course for Beginners: https://www.udemy.com/machine-learning-using-r/?couponCode=DISFOR123 What is Cross-validation A model is…
Plotting Categorical Variable vs continuous variables
Let’s begin Data visualizations from basic to more advanced levels where we can learn about plotting categorical variable vs continuous variable or categorical vs categorical variables.Let’s start RStudio and begin typing in 🙂 For Best…
What is data mining
Data mining is an interdisciplinary subfield of artificial intelligence, machine learning, statistics and so on which involves discovering patterns in large data sets. The goal of the data mining process is to extract information and…
How to install R and RStudio
R is popular tool used in Machine Learning,data analytics,business analytics,statistical analysis,bioinformatics. To use R efficiently we need another tool which is called as integrated development environment (IDE). RStudio is an integrated development environment (IDE) for…
Applications of Machine Learning
Machine learning and Artificial Intelligence is future of our world. Machine learning enables us to crunch big data (Talking of Petabytes of data ???.. Yes). Machine learning is the subfield of computer science that “gives…
Tools for Data Visualization
Let’s begin learning about what are the important tools which are used for Data Visualization by Data Scientist,Business Analyst,Data Analyst and so on Data visualization involves study of the visual representation of data. The goal…