Correlation is one of the most important statistical terms used in data science. It is used to measure the intensity of relationships between variables. If you know how to calculate correlation in data science but…
There are some pieces of scripts or code that we generally use in the middle of several tasks daily. For example, whenever I work on a sentiment analysis task, I always use one common script…
One of the mistakes data science newbies make while working on a machine learning project is that they train a machine learning model, check its accuracy score, and then complete the project. They do not…
If you are new to data science or planning to start learning data science, you should know that you need to have a laptop that meets all the minimum requirements for data science tasks. As…
Marketing analysis is the process of identifying your potential customers and their buying and spending habits. It helps identify the perfect group of potential customers to market for a particular product or service. The use…
A data scientist or machine learning engineer often needs the power of GPU to perform powerful calculations using deep neural network architectures. As a data science professional, you will have access to powerful laptops by…
A data scientist has to spend a lot of time preparing a dataset for any data science task because the data we get has a lot of errors, and sometimes it is not labeled. Adding…
Dropping rows and columns from a dataset helps in preparing the data so that we can filter the data for better understanding. When we are working on a data science task, we store the data…
You must have studied that the demand for a product varies with the change in its price. If you take real-world examples, you will see if the product is not a necessity, then its demand…
A recommendation system is a data science application used by almost every platform today to recommend content to its users. Having recommendation system projects on your resume will help you get shortlisted in your preferred…
Data visualization isn’t just about graphing your data, it means finding the story behind the numbers to discover the relationships between the features of a dataset. Data visualization is one of the most important skills…
A glossary is a list of words with their meanings about a specific subject or topic. When learning machine learning, you go through a lot of terms that are not easy to remember, but if…
Sentiment analysis is the task of natural language processing where we detect a positive or negative sentiment from a piece of text. Sentiment analysis is used by companies to analyze the opinions of customers about…
Finding the index of the maximum value in a list or an array is one of the most common coding interview questions you can get in any coding interview. Here you have to find the…
The price of electricity depends on many factors. Predicting the price of electricity helps many businesses understand how much electricity they have to pay each year. The Electricity Price Prediction task is based on a…
There are so many tools that a data scientist has to use daily, and each tool has several alternatives. Just like a programming language, you can choose any tool that you find easy to use,…
Binary classification is one of the types of classification problems in machine learning where we have to classify between two mutually exclusive classes. For example, classifying messages as spam or not spam, classifying news as…
A word cloud is a data visualization technique that shows the most used words in large font and the least used words in small font. It helps to get an idea about your text data,…
A recommendation system is one of the applications of data science that is used by almost any application or website today. Many websites today use a recommendation system to recommend articles to their readers. For…
Data analysis is the process of inspecting and exploring data generated by a particular population to find the information needed to make decisions and draw conclusions. With the use of data in decision making, most…