Remove Cross Validation Remove Data Pipeline Remove Exploratory Data Analysis
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Build a Stocks Price Prediction App powered by Snowflake, AWS, Python and Streamlit?—?Part 2 of 3

Mlearning.ai

I have checked the AWS S3 bucket and Snowflake tables for a couple of days and the Data pipeline is working as expected. The scope of this article is quite big, we will exercise the core steps of data science, let's get started… Project Layout Here are the high-level steps for this project. The data is in good shape.

Python 52
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AI in Time Series Forecasting

Pickl AI

Making Data Stationary: Many forecasting models assume stationarity. If the data is non-stationary, apply transformations like differencing or logarithmic scaling to stabilize its statistical properties. Exploratory Data Analysis (EDA): Conduct EDA to identify trends, seasonal patterns, and correlations within the dataset.

AI 52