<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data Science |</title><link>https://aroraanshu26.github.io/tags/data-science/</link><atom:link href="https://aroraanshu26.github.io/tags/data-science/index.xml" rel="self" type="application/rss+xml"/><description>Data Science</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 27 Dec 2023 00:00:00 +0000</lastBuildDate><image><url>https://aroraanshu26.github.io/media/icon_hu_da05098ef60dc2e7.png</url><title>Data Science</title><link>https://aroraanshu26.github.io/tags/data-science/</link></image><item><title>Trading Bot</title><link>https://aroraanshu26.github.io/projects/trading-bot/</link><pubDate>Wed, 27 Dec 2023 00:00:00 +0000</pubDate><guid>https://aroraanshu26.github.io/projects/trading-bot/</guid><description>&lt;p&gt;Developed a machine learning pipeline for stock trend prediction using technical analysis indicators on NIFTY50 data. The project involved extracting and preprocessing market data, engineering features using indicators such as MACD, RSI, Bollinger Bands, ADX, and Aroon, handling missing values and normalization, and training models to predict short-term gains and trading positions (buy, sell, or hold).&lt;/p&gt;</description></item></channel></rss>