📈 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, proper 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 Units…

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

# Put collectively obligatory 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 able to fetch inventory info, carry out kernel regression, and make our visualization interactive! 🌈

💾 Fetching Google Inventory Data…

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

def…

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

You in all probability haven’t already, we encourage you to accumulate and expertise these unimaginable apps. Maintain linked, educated, modern, and uncover unbelievable journey provides with the Nirantara household!