# Read the file & display first 5 rowsimport pandas as pd
import numpy as np
import matplotlib.pyplot as plt6
import seaborn as sns
warnings.filterwarnings(“ignore”, category=FutureWarning)super_store = pd.read_csv(“D:/ANCHIT/Python/SampleSuperstore.csv”)
Age is just a number
Life is nothing but a ride. A ride towards a destination. And so it’s not all about reaching the destination but enjoying the journey all along. Usually people try experimenting with their lives in their early 20’s. It’s the time when your risk taking appetite is more. But sometimes a stage comes when you feel so alive which you haven’t felt ever in your life. Mine came at the age of 33.
We will discuss the examples of these 5 Basic functions & observe the errors. Before we begin, let’s install and import PyTorch
# !pip install numpy torch==1.7.0+cpu torchvision==0.8.1+cpu torchaudio==0.7.0 -f https://download.pytorch.org/whl/torch_stable.html# Import torch and other required modules
First function we will be using is the ‘Inverse’ function.
a = torch.randn(2,3,3)
The above 'randn' function has created 3X3 square matrix with 2 outer most rows. …
A new and effective way of exploring and analyzing data
As a Data Scientist, it becomes very important on your part not only to work towards achieving the desired result but also able to understand it. This analyses has to be effectively communicated to your stake holders. Exploratory Data Analyses plays an important role to grab the basic understanding of the data.
In EDA, we perform all the necessary tasks to extract the relevant information out of our data which ranges from performing the tasks related to—