Introduction to R and how to learn

I am Python language lover due to it's easy to learn for beginners, human language like simple code, powerful enough to do huge scientific and statistical analysis. There is another language called "R" which is famous among statistician and data miners. The world of Data science is ruled by two language R and Python. I wanted to learn "R" language and I found a simple and easy way to learn the "R". Before going straight into the R tutorial I want to introduce you with our Mr.R.

Unsupervised ML with PCA

In this section I am using the unsupervised algorithm called "PCA" which is called as "Principal components analysis".PCA is used on the correlated data and make them uncorrelated dataset.In this blog we will use the PCA on the 3D modelling of the armadillo which shows the structure of the armadillo and I will try to use PCA make it a 2D structure.The package I am going to use are:

Iris dataset and ML with Sklearn

Iris dataset and ML with Sklearn┬ÂIn this blog I am will use some machine learning concept with help of ScikitLearn(sklearn) an Machine Learning Package and Iris dataset which can be loaded from sklearn ,use numpy to work on the Iris dataset and Matplotlib for Visualization. Iris dataset is a multivariate data set introduced by the British statistician and biologist Ronald Fisher in his 1936 paper The use of multiple measurements in taxonomic problems as an example of linear discriminant analysis.The data set consists of 50 samples from each of three species of Iris (Iris setosa, Iris virginica and Iris versicolor).Four features were measured from each sample: the length and the width of the sepals and petals, in centimetres.

  • Fri 23 June 2017
  • Blog

Population Analyze and Visualize

Today I am writing about Population though my last two post were also about population .But, today in this post i will analyse the data and make some visuals using the data and find some answers. In this blog i am going to use dataset from the UN databank (Link:

  • Sun 28 May 2017
  • Blog

US Immigration

US Imigration analysis 1980-2013(SAARC)┬ÂIn this program i am going to read data about the no of migrants in US from all around the globe from 1980 to 2013 taken from and loaded in python. I am filtering data from given data and only using data of SAARC countries(Afganistan,Bangladesh,Bhutan,India,Maldives,Nepal,Pakistan,Srilanka).In this program i am using matplotlib python package to visualize the given data.The data i will use is No of people moved to US in given Years from their homeland.