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

Mlearning.ai

Build a Stocks Price Prediction App powered by Snowflake, AWS, Python and Streamlit — Part 2 of 3 A comprehensive guide to develop machine learning applications from start to finish. I have checked the AWS S3 bucket and Snowflake tables for a couple of days and the Data pipeline is working as expected. dt.strftime('%Y%m').astype(int)

Python 52
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Artificial Intelligence Using Python: A Comprehensive Guide

Pickl AI

Exploratory Data Analysis (EDA) EDA is a crucial preliminary step in understanding the characteristics of the dataset. EDA guides subsequent preprocessing steps and informs the selection of appropriate AI algorithms based on data insights. Feature Engineering : Creating or transforming new features to enhance model performance.

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Large Language Models: A Complete Guide

Heartbeat

It is also essential to evaluate the quality of the dataset by conducting exploratory data analysis (EDA), which involves analyzing the dataset’s distribution, frequency, and diversity of text. Use a representative and diverse validation dataset to ensure that the model is not overfitting to the training data.