python

Build your first web application using Django

Jyoti Sachdevapython, python, ,

Reading Time: 3 minutes In our previous blog Introduction to Django, we discussed the Django’s features and architecture. In this blog, we will create a web application in Django. For starting a new project, go to the folder where you want your project to be and run the command: django-admin startproject django_proj django-admin Django’s command-line utility for administrative tasks.manage.py is automatically created in each Django project. manage.py does the Continue Reading

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MachineX :k-Nearest Neighbors(KNN) for classification

Shubham GoyalArtificial intelligence, ML, AI and Data Engineering, python

Reading Time: 4 minutes In this blog, we are going to go through about one of the widely used classification algorithm called KNN (K-Nearest Neighbors). Since I started doing data science, I observed that most of the problems end up with classification model The main reason behind this biased property is, most of the analytic problems are based on decision making. For instance, to identify loan applicants as low, Continue Reading

Introduction to Django

Jyoti Sachdevapython, python, ,

Reading Time: 3 minutes In this blog, we are going to talk about Django. Before that let’s understand what is web framework and why do we need it? A web framework is a software tool that helps us develop application faster and smarter. It eliminates the need to write a lot of repetitive code and saves time. What is Django? Django is a free open source high-level web framework Continue Reading

MachineX: Data Cleaning in Python

Shubham GoyalML, AI and Data Engineering, python

Reading Time: 8 minutes In this Blog, we are going to learn about how to do Data Cleaning in Python. Most data scientists spend only 20 percent of their time on actual data analysis and 80 percent of their time finding, cleaning, and reorganizing huge amounts of data, which is an inefficient data strategy. The reason data scientists are hired in the first place is to develop algorithms and Continue Reading

Introduction to NumPy

Prabhat Kashyappython,

Reading Time: 4 minutes In this blog, I will walk you through the basics of NumPy. If you want to do machine learning then knowledge of NumPy is necessary. It one of the most widely used python library Numeric Python. It is the most useful library if you are dealing with numbers in python. NumPy guarantees great execution speed comparing it with python standard libraries. It comes with a Continue Reading

Data Analysis using Python: Pandas

Jyoti Sachdevapython, ,

Reading Time: 3 minutes In this blog, I am going to explain pandas which is an open source library for data manipulation, analysis, and cleaning. Pandas is a high-level data manipulation tool developed by Wes McKinney. The name Pandas is derived from the word Panel Data – an Econometrics from Multidimensional data. Pandas is built on the top of NumPy. Five typical steps in the processing and analysis of Continue Reading

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