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…
Contents
- 1 blog posts on data science
- 1.1 Installing Cookiecutter data science project template
- 1.2 How to read data using pandas read_csv
- 1.3 Python Standard Deviation Calculation
- 1.4 if else in R
- 1.5 dplyr rename() – For Renaming Columns
- 1.6 raw_input python
- 1.7 10 ways to import data into R
- 1.8 Data visualization using ggplot2
- 1.9 R Factors
- 1.10 Introduction to R for Data Science
- 1.11 Natural Language Processing with Python
- 1.12 Topic modeling in Python
- 1.13 Data manipulation with dplyr part 3
- 1.14 Data manipulation with dplyr part 2
- 1.15 Data manipulation with dplyr
- 1.16 Intro to Data Science
- 1.17 Intro to dplyr package in R
- 1.18 Intermediate Python for Data Science
- 1.19 Python Random Data Generation
- 1.20 Intro to Python for Data Science
blog posts on data science
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…
Python Standard Deviation Calculation
In this post, we will learn about how to calculate standard deviation in Python.It can be calculated using stdev or pstdev functions of statistics module. Before calculating standard deviation, 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…
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…
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 ways to import data into R
In this post, we will learn the various techniques to import data into R from different types of sources, and convert to a R dataframe. Contents1 Import data from csv …
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. dplyr is a famous package for data manipulation. It has been developed by Hadley Wickham and…
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…
Intro to Python for Data Science
The aim of this post is to provide a reference to people who want a quick Intro to Python for Data Science. As you know, Python is a general purpose programming…