You've successfully subscribed to Smartcodehub ™ Blog
Great! Next, complete checkout for full access to Smartcodehub ™ Blog
Welcome back! You've successfully signed in.
Success! Your account is fully activated, you now have access to all content.

Python

Neeraj Dana
Members Public

Machine Learning Prerequisite | Python Basics: Functions in python

Prerequisit Machine Learning Prerequisite | Python Basics: Variables and DatatypesAgain can seems to be very basic please feel free to escape if you know what functions are and how they workAll the code is in Google Colab and  Notebook can be found here Comments in pythona comment is a programmer-readable explanation
Neeraj Dana
Members Public

Machine Learning Prerequisite | Python Basics: Variables and Datatypes

Prerequisit Google Colab SetupThe Colab Notebook for this article can be found here Variables and datatypes Someof this Might seems very basic to you but it may help someone so please free to skip when required In the last article we had setup our colab notebook  . This is the very
Neeraj Dana
Members Public

Machine Learning From scratch | Part 4. Setup Google Colaboratory

Ok so in this article we will see how you can quicky setup your dev env to gett your hands dirty with some coding Requirment to start machine learning is just a web browser with a google account with good internet speed thats it yes We will be using Google
Neeraj Dana
Members Public

Regular expressions in Python

Regular Expressions (sometimes called regex for short) allow a user to search for strings using almost any sort of rule they can come up with. For example, finding all capital letters in a string, or finding a phone number in a document.
Neeraj Dana
Members Public

Python Operators

Operators are special symbols in Python that carry out arithmetic or logical computation. The value that the operator operates on is called the operand.
Aditya Kumar
Members Public

Column and Row operations in Pandas

In the previous blog we have learned about creating Series, DataFrames and Panels with Pandas. In this blog we will learn about some advanced features and operations we can perform with Pandas. But for this we first need to create a DataFrame.
Aditya Kumar
Members Public

Creating Series, Data Frames and Panels in Pandas

Creating series, dataframe, panel in pandas using various methods. And learning about the arguments used by pandas data structures.
Neeraj Dana
Members Public

Python Keywords & Identifiers

Keywords are the reserved words in python . We cannot use a keyword as a variable name, function name or any other identifier. They are used to define the syntax and structure of the Python language.
Neeraj Dana
Members Public

Python Memory Management

In this Article, we will see how memory is assigned to variables in python By the end of this lesson, you will be able to answer some of the frequently asked questions in python.
Aditya Kumar
Members Public

Learn about Pandas package in Python

Till now we have learned to install and use NumPy. But there is more to scientific computing,
Aditya Kumar
Members Public

NumPy and Python Lists: Which one is better?

Comparing NumPy array and Python lists. Advantages of NumPy array over Python lists. Features of NumPy Package with examples and doing Matrix operations
Aditya Kumar
Members Public

Exploring NumPy Functions

Exploring NumPy functions. Introduction to NumPy. Creating arrays with NumPy and performing arithmetic operations, sorting operations and array manipulations