📈 Predicting Google Stock Prices with Kernel Regression and Interactive Widgets! 🚀 | by Unicorn Day | Jul, 2024 – Niraranra – Nirantara – Niraranra – Niraranra

Hey there, stock lovers! 📊 Ever puzzled how one can predict stock prices using some fancy math? 🤓 Effectively, right now, we’re diving into the world of kernel regression with a contact of interactivity! 🎉 Let’s embark on this journey to predict Google stock prices using Python, statsmodels, and some cool widgets… 🌟

🧩 Setting Up Our Items…

First elements first, we’ve purchased to assemble our models for this magical journey. 🛠️ We’ll be using a combination of terribly setting pleasant libraries like numpy, pandas, matplotlib, yfinance, statsmodels, and ipywidgets. That’s the lineup:

# Arrange important libraries
!pip arrange yfinance statsmodels matplotlib ipywidgets
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import yfinance as yf
import statsmodels.api as sm
import ipywidgets as widgets
from ipywidgets import interactive

With these libraries, we’re in a position to fetch stock information, perform kernel regression, and make our visualization interactive! 🌈

💾 Fetching Google Stock Data…

To start, we’d like some historic stock prices for Google (ticker picture: GOOGL). Our magic carry out fetch_data will merely do this. 🪄

def…

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Thanks for being a valued member of the Nirantara family! We admire your continued help and perception in our apps.

If in case you have not already, we encourage you to acquire and experience these unbelievable apps. Preserve linked, educated, modern, and uncover very good journey affords with the Nirantara family!

Thanks for being a valued member of the Nirantara household! We recognize your continued help and belief in our apps.

If you have not already, we encourage you to obtain and expertise these implausible apps. Keep related, knowledgeable, trendy, and discover wonderful journey affords with the Nirantara household!