 ## 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 on demo in R & python after you have read this.The links are given below or you can browse the […] ## 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 now just focus on ten thousand independent variables and also assume they are continuous so that you need not worry […] ## 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: https://www.udemy.com/machine-learning-using-r/?couponCode=GREAT_CODE Importing libraries & Reading Data Importing the required libraries.MASS is used for importing birthwt dataset library(MASS) #### Storing the […] ## 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 Best Course on Data Science Developed by Data Scientist ,please follow the below link to avail discount https://www.udemy.com/machine-learning-using-r/?couponCode=DATA_MASTER Importing libraries,Reading […] ## 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 usually given a known data set(training data set) on which training is done and unknown dataset(testing data set) against which […] ## 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 Course on Data Science Developed by Data Scientist ,please follow the below link to avail discount https://www.udemy.com/machine-learning-using-r/?couponCode=DISFOR123 #### Let’s store […] ## 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 hidden patters from a data set and transform it into an understandable structure . These hidden patterns are summary of […] ## 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 R. For using R,we need following 1.Install R 2.Install R-Studio 3.Install R-Packages Mac Users To Install R Go to www.r-project.org […] ## 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 computers the ability to learn without being explicitly programmed” (Arthur Samuel, 1959). You can think of your brain.How does that […] ## 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 of data visualization is to communicate information clearly and efficiently via statistical plots like pie chart,histogram,barplots,scatterplot,heatmap and so on. Data […]