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<html>
<head></head>
<body>
<p id="demo">SHIEK</p>
<script>
var i = 0;
var txt = 'Lorem ipsum typing effect!'; /* The text */
var speed = 50; /* The speed/duration of the effect in milliseconds */

function typeWriter() {
  if (i < txt.length) {
    document.getElementById("demo").innerHTML += txt.charAt(i);
    i++;
    setTimeout(typeWriter, speed);
  }
}
</script>
</body>
</html>

ShiekShams's Projects

aexpress icon aexpress

Ecommerce Application Tutorial (Source) - Mian Speaks

dl4eti icon dl4eti

Computer-aided diagnosis in histopathological images of the Endometrium

jobsplanet_mern_app icon jobsplanet_mern_app

Job Portal (Publishing job offers, job search, and supporting the recruitment process including rejection, shortlisting, accepting, and rating) made using MERN stack. Link to ss:

stock-market-prediction-web-app-using-machine-learning-and-sentiment-analysis icon stock-market-prediction-web-app-using-machine-learning-and-sentiment-analysis

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA,

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