A well-balanced data architecture helps in improving efficiency and ensures better alignment with the business priorities. The first and second questions below could help you with finding the right balance. First: What is balancing and What to balance? “Balancing” isn’t about something tec...
5 min Read Power BI users desire to see the real-time data; in sync with their data source, on their dashboard. Since the exact source refresh completion time cannot be assumed, instant updating of data isn’t possible by scheduling the data refresh in the Power BI service. Among the three Power BI Connec...
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Power BI has enough adapters that enable a user to connect to every type of data source as it isn’t always that the data source would be a desktop file. Various Power BI connectors, based on the type of data source you are connecting to, help you to choose a connection type and alter the […...
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Modernization of the data platform: What does it mean? The attitude towards the word “Data” is changing rapidly from that’s just employee/ sales data to expecting a straightforward answer for “what is my sales revenue last quarter?” with help of BI systems. Modernization of the data p...
5 min Read What is the health condition of a heart patient? Normal, suspect and pathologic as per CTG? Here, we are predicting the health condition of heart patients by analyzing their CTG with Random Forest algorithm. What Is Random Forest? A Random Forest can be considered as an ensemble of decision trees. I...
5 min Read Decision tree is a supervised learning algorithm which is used for both classification and regression. As the name goes, it uses a tree-like model of decisions, where each internal node denotes a test on an attribute, each branch represents an outcome of the test, and each leaf node (terminal node) ...
5 min Read How many patients will suffer from diabetes? Let’s predict people who will suffer with diabetes as per there health records. Logistic Regression: Linear Regression can be used only when y is continuous, and it isn’t fit for categorical data. This is where Logistic Regression is used. It is used ...
5 min Read Hello, in this article, I will be giving you a brief introduction on Supervised Learning and then, I will show you a very easy 6-line code to implement the code. Theory Supervised Learning occurs when we are provided with a dataset and we train our model according to that data. The dataset is genera...
5 min Read What is Linear Regression? Linear regression is a supervised learning algorithm. It is used for prediction of numerical output from a set of inputs. It is used for continuous data. It assumes that the two variables are linearly related. Hence, we try to find a linear function that predicts the respo...
5 min Read Machine Learning is a part of Artificial Intelligence. Its algorithms can self-learn from experience. It builds some patterns based on historical data by using statistical techniques. In 1959, Arthur Samuel defined Machine Learning as a “Field of study that gives computers the ability to learn wi...
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