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Ankush kunwar
Ankush kunwar

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The Startup

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Missing Data Imputation in Feature Engineering.

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering is the most important step for any data scientist. What is a Variable? A variable is…

Feature Engineering

4 min read

Missing Data Imputation in Feature Engineering.
Missing Data Imputation in Feature Engineering.
Feature Engineering

4 min read


Published in

Analytics Vidhya

·Pinned

Categorical Encoding (One Hot Encoding) in Feature Engineering.

One Hot Encoding One hot encoding, consists in encoding each categorical variable with different boolean variables (also called dummy variables) which take values 0 or 1, indicating if a category is present in an observation. For example, for the categorical variable “Gender”, with labels ‘female’ and ‘male’, we can generate…

Data Science

5 min read

Categorical Encoding in Feature Engineering.
Categorical Encoding in Feature Engineering.
Data Science

5 min read


Jan 26

flask jwt_extended explanation

Here is a full tutorial on how to implement JSON Web Tokens (JWT) in a Flask application using the Flask-JWT-Extended library: Install the necessary packages: pip install flask-jwt-extended 2. Import the necessary modules into your Flask application: from flask import Flask, request, jsonify from flask_jwt_extended import JWTManager, jwt_required, create_access_token, get_jwt_identity …

Python

2 min read

Python

2 min read


Jan 23

Use MongoDB in python

MongoDB is a popular NoSQL database that can be used with Python. To get started with MongoDB and Python, you will need to have MongoDB installed and running on your machine. Here is a tutorial that covers the basics of how to use MongoDB with Python: Install the pymongo library…

Python

2 min read

Python

2 min read


Jan 21

OS module in python

The os library in Python provides a way for developers to interact with the operating system. This library contains a wide variety of functionality, including the ability to interact with the file system, execute shell commands, and interact with environment variables. …

Python

1 min read

Python

1 min read


Jan 12

Constraints in SQL must be known Concepts.

In SQL, a constraint is a rule that defines the acceptable values for a column in a table. Constraints can be used to enforce data integrity and ensure that only valid data is entered into the database. …

Sql

2 min read

Constraints in SQL must be known Concepts.
Constraints in SQL must be known Concepts.
Sql

2 min read


Jan 11

Collections Module In Python

Collections in Python are containers used for storing data and are commonly known as data structures, such as lists, tuples, arrays, dictionaries, etc. Python has a built-in collections module providing additional data structures for collections of data. Here is a list of some of the classes provided by the collections module: Counter: A Counter is a dict subclass for counting hashable objects. It is…

Python

2 min read

Python

2 min read


Jan 10

Basic Linux command Every Software Engineer should know.

Here are some basic Linux commands that every software engineer should know: cd - Change the current working directory ls - List the files and directories in the current working directory pwd - Print the current working directory mkdir - Create a new directory rmdir - Remove an empty directory …

Software Development

1 min read

Software Development

1 min read


Jan 9

Working With Large CSV File Using Python.

There are several ways to work with large CSV files in Python, depending on your needs and the resources available to you. Here are a few options: Use a generator: You can use a generator to read the file one line at a time, rather than reading the entire file…

Python

3 min read

Python

3 min read


Jan 8

Working With Large Nested JSON Data

To work with JSON data in Python, you can use the json module. This module provides functions for working with JSON in Python. Here is an example of how to parse a JSON string in Python: import json # Some JSON data json_data = '{"name": "John", "age": 30, "city": "New York"}' # Parse…

Python

2 min read

Python

2 min read

Ankush kunwar

Ankush kunwar

21 Followers

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