Identifying dirty data and techniques to clean it in R
In this post, we will learn to identify dirty data and learn the techniques to perform data cleaning in R. Contents1 Why should we care about cleaning data?2 Exploring raw…
blog posts on data science
Intro to Python for Data Science
The aim of this post is to provide a quick intro to Python for Data Science. Python is a general-purpose programming language and is not specific to data science. Let us…
2 ways to calculate standard deviation in Python
In this post, we will learn how to calculate standard deviation in Python. Standard deviation is the measure of dispersion of a set of data from its mean. There are…
Tidying data with tidyr package in R
Overview of tidyr tidyr is a wonderful package in R written by Hadley Wickham for the purpose of helping you to apply the principles of tidy data. Contents1 Overview of…
How to read data using pandas read_csv
In this post, we will learn about the pandas read_csv function. It is used to read a csv(comma separated values) file and convert to pandas dataframe. pandas is a very…
dplyr rename() – For Renaming Columns
In this post, we will learn about dplyr rename function.dplyr rename is used to modify dataframe column names or tibble column names. dplyr rename comes from Tidyverse group of packages…
UW, Berkeley, NYU collaborate in $37.8M data science initiative
In order to achieve their goal of dramatically accelerating the growth of data-intensive discovery in a broad range of fields, the Gordon and Betty Moore Foundation and the Alfred P.…
Installing Cookiecutter data science project template
In this post, we will learn how to install the cookie cutter data science template . 1.Login to your local machine Github account using Git-Bash(Windows) or Git terminal(Mac) 2.Ensure you…
if else in R
In this post, we will learn about if else in R language. if else is also called a conditional expression. A conditional expression evaluates a logical condition and then proceeds to…
raw_input python
In this post, we will learn about raw_input() function in Python. raw_input() function is used to accept user input.It presents a prompt to the user , gets input from the…
10 techniques to load data into R
In this post, we will learn the techniques to load data into R from a variety of sources. Contents1 Import data from csv in R1.1 read.csv()1.1.1 Find structure of the…
Data visualization using ggplot2
In this post, we will learn the basics of data visualization using ggplot2 in R.Using data visualization will make it easier to identify patterns in your data and plan analyses…
Introduction to R for Data Science
In this post, we will start with an introduction to R for data science.We will learn all important R language concepts to be learnt by a data science aspirant. These…
Natural Language Processing with Python
In this post, we will learn to perform Natural language processing with Python. Natural language processing, also called NLP, is the ability of a software program to understand human language.…
Topic modeling in Python
In this post, I will introduce you to topic modeling in Python (or) topic identification, which you can apply to any text you encounter in the wild. Using basic NLP(Natural…
Data manipulation with dplyr part 3
In this post, we will discuss about usage of group_by with dplyr. We will solve some complex coding challenges with dplyr. Post that, we will learn how to work with…
Data manipulation with dplyr part 2
In this post, we will discuss advanced data manipulation concepts with dplyr. First, we will discuss about aggregate functions in dplyr, and then discuss about using pipes for complex data…
Data manipulation with dplyr
In this post, we will learn how to perform data manipulation with dplyr package.We will learn to use mutate, filter, arrange and summarize verbs in dplyr. mutate mutate does the…
Intro to Data Science
In this post , we will talk about what is Data Science and who is a Data Scientist. Data Science is the art of deriving meaningful conclusions out of available…
Intro to dplyr package in R
In this post, we will discuss about a brief intro to dplyr package in R. Contents1 how to install dplyr?2 head() function in dplyr 3 summary() function in dplyr4 what is tbl?5…
Intermediate Python for Data Science
In our previous post, we got started with an introduction to python for data science. Now as part of this post, we will go a bit deeper and learn the concepts…
Python Random Data Generation
In this post, we will discuss how to generate random data(Numbers and Strings) in Python. Random numbers can be generated using the Python standard library or using Numpy. How to…