📈 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 elements first, we’ve bought to assemble our gadgets for this magical journey. 🛠️ We’ll be utilizing a mixture of terribly ambiance nice libraries like numpy, pandas, matplotlib, yfinance, statsmodels, and ipywidgets. That’s the lineup:

# Prepare essential libraries
!pip prepare 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 start 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 admire your continued help and notion in our apps.

When you haven’t already, we encourage you to amass and expertise these inconceivable apps. Keep related, educated, trendy, and uncover nice journey gives with the Nirantara household!