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Machine Learning Lab

1. Install and set up Python and essential libraries like NumPy and pandas. Install NumPy and pandas : Open a command prompt (Windows) or terminal (macOS / Linux). To install NumPy, type : pip install numpy To install pandas , type : pip install pandas Press Enter and wait for the installation to complete. Verify installation : After installation , you can verify if NumPy and pandas are installed correctly by opening a Python interpreter. Type python in your command prompt or terminal to open the Python interpreter. Once inside the Python interpreter, try importing NumPy and pandas: python import numpy import pandas If there are no errors, the libraries are successfully installed. 2.Introduce scikit-learn as a machine learning library Here 's an introduction to some key aspects of scikit-learn: 1. Versatility : scikit - learn offers a wide range of machine learning algorithms and tools that are suitable for various tasks such as classification,regression, clus...

Mobile Application Development Lab

GITHUBLINK 1.Creating “Hello world” Application 1. Click Start →Android Studio, a Welcome to Android Studio dialog box will appear. Click New Project, the New Project Dialog box appears.  2. Choose Empty Views Activity then click Next.  3. Specify the Name of your project, Select the Language as Java, and Select the Minimum SDK as API 16 (“Jelly Bean”, Android 4.1). Click Finish Button.  4. Create a Button resource in activity_main.xml and update the following code <? xml version ="1.0" encoding ="utf-8" ?> <androidx.constraintlayout.widget.ConstraintLayout xmlns: android ="http://schemas.android.com/apk/res/android" xmlns: app ="http://schemas.android.com/apk/res-auto" xmlns: tools ="http://schemas.android.com/tools" android :layout_width ="match_parent" android :layout_height ="match_parent" tools :context =".MainActivity" > <Button android :id ="@+i...