Python is such a popular programming language among data scientists because of its beginner-friendly syntax and the support of libraries that we get for all data science tasks. So there are some of the Python libraries you need to learn…

Approximately 3.5 billion searches are performed on Google daily, which means that approximately 40,000 searches are performed every second on Google. So Google search is a great use case for analyzing data based on search queries. With that in mind,…

In machine learning, supervised learning is characterized by the concept of a supervisor whose goal is to provide an accurate measure of error that is directly comparable to the output values. If you don’t know in what kinds of problems…

There are so many card games today where you choose a card at random from a deck of cards to create an event. This is the feature of every card game today because you have to choose a card at…

When using a machine learning algorithm, it is very important to train the model on a dataset with almost the same number of samples. This is known as a balanced class. We need to have balanced classes to train a…

When working on a data science task, sometimes the dataset you are using has features with very complex names, so to keep things simple we can rename the columns with complex names. So in this article, I will walk you…

Descriptive analysis is used to understand the past and predictive analysis is used to predict the future. Both of these concepts are important in machine learning because a clear understanding of the problem and its implications is the best way…

Working on some machine learning projects is one of the most useful strategies you can use as a beginner to learn machine learning. As a beginner, you are out of ideas about how to start with a project or which…

Eggs Catcher is a classic game where the goal is to catch as many eggs as possible. In this game, every egg you catch will increase your score and if you miss 3 eggs you will lose the game. In…

If you want to get a data science job, the first thing you need to have is a data science resume. A resume is a document that gives the first impression of a candidate, so it should be well prepared…

To sort an array we need to arrange the elements of the array by comparing each element efficiently. The merge sort algorithm uses the divide and conquer approach to sort an array by making the least number of comparisons between…

There are so many programming jobs that can pay you a really good amount of money no matter what company you work for. Most of these programming jobs can also pay a very good amount as a freelancer. So, in…

Uber has been a major source of travel for people living in urban areas. Some people don’t have their vehicles while some don’t drive their vehicles intentionally because of their busy schedule. So different kinds of people are using the…

There are so many machine learning algorithms for all machine learning problems like classification, regression, and clustering. You may be familiar with more than 3-4 algorithms for each task, but the problem every newbie faces is how to select a…

A choropleth map is a shaded map where the intensity of the colour indicates the intensity or quantity of a particular feature. In Data Science, the choropleth maps are used to visualize the distribution of a feature in a geographical…

Classification means categorizing something from a group based on some features. For example, spam detection is one of the most popular tasks of classification in the machine learning community, here we need to classify emails as spam or not spam.…

AutoTS is an automatic machine learning library in Python which is developed for the task of automatic time series forecasting. You can use this library for any task of time series forecasting such as predicting the stock prices for the…

Dijkstra’s algorithm is also known as the single-source shortest path algorithm. It is used for finding the shortest path between the nodes of a graph where the cost of each path is not the same. In this article, I will…