To survive and thrive in this competitive world, one must adapt to new technologies and reforms. Its easy for an individual to adapt the change, but, what if we want an organization to adapt that change? One must agree with the statement that the struggle is real! One of the key metrics for any orga...
5 min Read This article explains about the securing of RESTful web API which exposes the data between on-premise data sources and Office 365. OpenID connect can be used to build the authentication for the web API solution. Refer[1] blog posts on how to implement OpenID authentication for a custom web solution....
4 min Read This article explains how to create a PowerApp with Flow, calling custom web API hosted on local IIS to connect to local data sources Creating a Microsoft Flow to access local data sources using Custom connector Open the Flows in Office 365 Select Sign in and Login with your credentials Select My Fl...
3 min Read How to Create a custom connector for PowerApps and Flows. Let’s review the prerequisites needed to create a custom connector. A Web API solution which is hosted on your local IIS machine with access to the web API through the domain api.contoso.com An app registered in azure app registrations (htt...
3 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...
3 min Read We all know that there are a number of prerequisites that needs to be installed before downloading SharePoint onto our systems. Without these prerequisites, it is not possible to run the SharePoint environment successfully. Which is why, it is vital that we install the required prerequisites properl...
2 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) ...
3 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 ...
3 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...
3 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...
4 min Read Work Flow to build a Machine Learning Algorithm: Earlier, we discussed about Machine Learning and its types. In this document, we will discuss about the workflow to build a model and working on historical data (Data Preprocessing). Before building a model, we need to transform data from an unstructu...
2 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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