Ezeji

<?xml version="1.0" encoding="utf-8" ?>
<Shell       xmlns="http://xamarin.com/schemas/2014/forms"
             xmlns:x="http://schemas.microsoft.com/winfx/2009/xaml"
             xmlns:d="http://xamarin.com/schemas/2014/forms/design"
             xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006"
             FlyoutBehavior="Disabled"
             xmlns:local="clr-namespace:MedTracker.View"
             mc:Ignorable="d"
             x:Class="MedTracker.AppShell">

Ezeji

<?xml version="1.0" encoding="utf-8" ?>
<ContentPage xmlns="http://xamarin.com/schemas/2014/forms"
             xmlns:x="http://schemas.microsoft.com/winfx/2009/xaml" 
             xmlns:xct="http://xamarin.com/schemas/2020/toolkit" 
             xmlns:yummy="clr-namespace:Xamarin.Forms.PancakeView;assembly=Xamarin.Forms.PancakeView"
             x:Name="ProgressDashboard"
             Title="Medication Tracker"
             x:Class="MedTracker.View.DashboardPage">

Ezeji

Dataset Source: Healthcare Dataset Stroke Data from Kaggle.

This dataset is used to predict whether a patient is likely to get stroke based on the input parameters like gender, age, and various diseases and smoking status. A subset of the original train data is taken using the filtering method for Machine Learning and Data Visualization purposes.

About the Data: Each row in the data provides relavant information about a person , for instance; age, gender,smoking status, occurance of stroke in addition to other information Unknown in Smoking status means the information is unavailable. N/A in other input fields imply that it is not applicable.

Ezeji

public static int RemoveArrayDuplicate(int[] nums)
        {
            int arrayLength = 0;

            for (int i = 0; i < nums.Length; i++)
            {

                if (nums[i] == nums[i++])
                {
                    arrayLength = arrayLength + 1;

Ezeji

public static int RemoveNumberInstances(int[] nums, int val)
        {
            if (nums == null)
            {
                return 0;
            }
            else
            {
                nums = nums.Where(arrayElement => arrayElement != val).ToArray();

Ezeji

class Program
    {
        private static List<int> ResultWhenValIsInArray { get; set; } = new List<int>();
        private static List<int> ResultWhenValIsNotInArray { get; set; } 

        static void Main(string[] args)
        {
            ResultWhenValIsInArray.Add(-1);
            ResultWhenValIsInArray.Add(-1);

Ezeji

class Program
    {
        private static int TotalNumber { get; set; }
        private static List<int> Result { get; set; } = new List<int>();

        static void Main(string[] args)
        {
            TotalNumber = 1;
            int[] nums = { 4, 5, 10, 2 };

Ezeji

class Program
    {
        private static List<int> SingleArray { get; set; } = new List<int>();

        static void Main(string[] args)
        {
            int[] classA = { 13, 15, 19 };
            int[] classB = { 11, 13, 18 };

            AddFirstArrayIntoSingleArray(classA);

Ezeji

class Program
    {
        private static List<int> Result { get; set; } = new List<int>();

        static void Main(string[] args)
        {
            int[] nums = { 4, 1, 3 };
            int val = -1;

            ShufflePupils(nums, val);

Ezeji

class Program
    {
        private static List<string> MinutesArray { get; set; } = new List<string>();

        static void Main(string[] args)
        {
            string[] timeArray = { "16:15", "16:00", "12:20" };

            GetMinutesFromTimeArrayIntoMinutesArray(timeArray);
            var result = MinimiumTimeDifference(MinutesArray);