Measures in Power BI are really a beautiful feature. They are fast in the calculation, has the benefit of reusability. Measures can be applied to multiple tables. We create measures to obtain counts, averages, sums, ranking, percentiles, aggregating year to dates and many more handy calculations. Measures are dynamically calculated. And most importantly it gets ... Read more

Data model relationships are the core of Power BI. The report preparation and visualization becomes very easy if data modelling is done well. So here in this article, we will discuss data modelling relationship with a simple example. A common misconception among Power BI users is that Power BI is all about visualization. But that ... Read more

Microsoft’s Power BI is a very popular and most frequently used data visualization business intelligence tool. This is an introductory article on Power BI which will be followed by a series of practical problem-solving articles. So it will be “learning by doing”. Data exploration and visualization is the most basic yet very important step in ... Read more

This article presents a thorough discussion on how to perform Exploratory Data Analysis (EDA) to extract meaningful insights from a data set. And to do this I am going to use Python programming language and its four very popular libraries for data handling. EDA is considered a basic and one of the most important steps ... Read more

This article discussed two very easy fixes for this problem faced by almost all Jupyter notebook users while doing data science projects. I have faced this issue myself while working folder of Jupyter notebook, the most preferred IDE of data scientists.

What is web scraping in data science? Web scraping, also known as web harvesting or screen scraping or web data extraction is a way of collecting a large amount of data from the internet. In data science, especially in machine learning, the accuracy of the model is largely dependent on the amount of data you ... Read more

To deploy machine learning(ML) models means to take a machine learning model from development to production. You have built an ML model, validated and tested its performance. But what its use if it is not utilised to solve real-world problems? Deploying a model means making an ML model production-ready. Here in this blog, we will ... Read more

This article contains a brief discussion on python functions. In any programming language, be it Python, R, Scala or anything else, functions play a very important role. Data science projects require some repetitive tasks to perform every time to filter the raw data and while data preprocessing. In this case, functions are the best friend ... Read more

This article is to help you to start with your first machine learning project. Machine learning projects are very important if you are serious about your career as a data scientist. You need to build your profile with a number of machine learning projects. These projects are evidence of your proficiency and skill in this ... Read more

This article is to introduce you a really super easy data exploration tool from Python. You have to just install and import this simple module. It gets integrated with any python IDE you are using. And D-tale is ready with all its data exploration features and a very easy user interface. Data exploration is a ... Read more