Using Machine Learning — Walmart Inc. is an American multinational retail corporation that operates a chain of hypermarkets (also called supercenters), discount department stores, and grocery stores in the United States, headquartered in Bentonville, Arkansas. Read more. About Data : The Dataset contains historical sales data for 45 Walmart stores located in different regions…

Using Python libraries Requests, and Beautiful Soup — Index Of Contents · Introduction · 1. Download the webpage using requests · 3. Extract the Book details position, name, writer, price, rating, total reviews form the document · 3.1. Finding movies Items · 3.2. Extracting position and poster of book · 3.3. Extracting book name and writer · 3.4. Extracting the reviews and rating of the…

And how to use it using PyMongo. — Index Of Contents · Introduction · How MongoDB stores data · Why and When to use MongoDB · Let’s talk about the CRUD operations in MongoDB (with python): ∘ PyMongo ∘ Create operations ∘ Insert Operations ∘ Query Inserted Documents ∘ Query with Filter ∘ Comparison Operator…

The more you use git, the more comfortable you’ll….. git with it! — Index Of Contents · Prerequisites · Accessing GIT through command line interface ∘ Install Git and Create an account on GitHub ∘ Creating a repository using the web interface (Github) · Working with local repositories on the Command line · git config · git init · git add · git commit · git status · git…

“Git is a masterpiece of design, I use it all day every day and I can’t imagine what it would be like not to use it. So, no question, I love git”- Matthew-brett. when you hear the word version control or Git at the start You might be thinking this…

There are better ways to impute missing values than just taking the average — Missing values is one of the most common problems during data analysis and machine learning. Machine learning models require that a dataset does not contain any missing values before they can be fitted to the data. Therefore, it is crucial that we learn how to properly handle them. The two…

MinMaxScaler Vs StandardScaler Vs RobustScaler — Standardization is a preprocessing method used to transform continuous data to make it look normally distributed. In scikit-learn this is often a necessary step because many models assume that the data you are training on is normally distributed, and if it isn't, your risk biasing your model. In the world…

Say What? — Data or digital Oil as the fancy people like to call it, is nothing like oil. It doesn’t possess a high calorific value, nor can it undergo destructive distillation to provide me with Vaseline. It like oil does come in various categories and types. Each has a specific use and…

Using Pandas, Numpy, Matplotlib, Seaborn, and Plotly libraries in Python. — What is Exploratory Data Analysis? Exploratory data analysis (EDA) is used by data scientists to analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods. It helps determine how best to manipulate data sources to get the answers you need, making it easier for data scientists to discover patterns, spot…