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

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

🧩 Setting Up Our Objects…

First parts first, we’ve acquired to assemble our fashions for this magical journey. 🛠️ We’ll be utilizing a mixture of terribly environment nice libraries like numpy, pandas, matplotlib, yfinance, statsmodels, and ipywidgets. That’s the lineup:

# Put collectively essential libraries
!pip put collectively 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 able to fetch inventory information, carry out kernel regression, and make our visualization interactive! 🌈

💾 Fetching Google Inventory Knowledge…

To begin out out, we’d like some historic inventory costs for Google (ticker image: GOOGL). Our magic perform fetch_data will merely do that. 🪄

def…

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Thanks for being a valued member of the Nirantara household! We respect your continued assist and notion in our apps.

You in all probability haven’t already, we encourage you to amass and expertise these unimaginable apps. Maintain related, educated, fashionable, and uncover nice journey presents with the Nirantara household!