There can be several reasons why bugs can creep into your apps. A robust system must detect them and make suitable changes to the Play Store app to ensure it works properly. The Android Studio gives an advanced debugging feature. It permits developers to undertake the following activities: Create the breakpoints in Kotlin, Java, and…
The APK Analyser, which comes with Android Studio, provides adequate information on the structure of the APK once the build is over. If you use the APK Analyser, it can help reduce the debugging time spent. The app has DEX files along with other resources that can reduce the APK size. The APK Analyser allows…
The app which is being downloaded from the Play Store must be secure. Insecure can lead to loss of data and make you lose customers. The Play Store app must be secure, and developers consider this factor while designing the app. Android Studio can help developers to ensure security. Enforce secure communication The app’s stability…
Android has quickly become a popular operating system for playstore app. Android Studio allows developers to build fast tools to design various applications of their choice on all Android devices. It is an IDE for Google Android Development and contains various Android tools for developing the application. The Android Studio has several intelligent features to…
Developers have been using Android Studio for developing apps which cater to several use cases. They mostly use Java or Kotlin for native app development. Java has several open-source tools and libraries that prove helpful for developers. Kotlin can introduce new solutions to prevalent use cases and enhance the Java ecosystem. Kotlin has gradually grown…
Android Studio is a critical IDE that helps developers design PlayStore app crucial for several business workflows. The Ide sees frequent upgrades with new features and various other enhancements. We will discuss some of the past Android Studio versions for PlayStore and some of the major components of these releases. Android Studio Bumblebee | 2021.1.1…
Classification Naive Bayes Naive Bayes is a classification algorithm which checks the probability of a test point belonging to a class. Unlike other algorithms, Naive Bayes is purely a classification algorithm. As explained in the last release this is the formula for the Bayes theorem and as the algorithm name suggests Naive Bayes is inspired…
In layman’s terms, Ridge regression adds one more term to linear regression’s cost function to reduce error. Ridge regression is a model-tuning method used to analyze data that suffer from multicollinearity. This method performs L2 regularization. When the issue of multicollinearity occurs, least-squares are unbiased, and variances are large; this results in predicted values being…
In supervised learning, overfitting is a major problem. When it comes to regression trees, it becomes more obvious to prevent this, we specify the Seth of the tree, but there is still a high chance of the dataset being overfitted. To avoid this, we use a random first regressor. Before understanding how and why this…
The decision tree is one of the most commonly used algorithms in supervised learning. You can use it for both regression and classification when we use this algorithm for regression problems, it is called a regression tree. In real life, decision trees are very famous algorithms they are used to predict high occupancy dates for…
