Remove Cross Validation Remove Definition Remove EDA
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The AI Process

Towards AI

We can define an AI Engineering Process or AI Process (AIP) which can be used to solve almost any AI problem [5][6][7][9]: Define the problem: This step includes the following tasks: defining the scope, value definition, timelines, governance, and resources associated with the deliverable.

AI 96
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Meet the winners of the Kelp Wanted challenge

DrivenData Labs

Summary of approach: In the end I managed to create two submissions, both employing an ensemble of models trained across all 10-fold cross-validation (CV) splits, achieving a private leaderboard (LB) score of 0.7318. I'd definitely would try more models pre-trained on remote sensing data.

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Artificial Intelligence Using Python: A Comprehensive Guide

Pickl AI

This section delves into its foundational definitions, types, and critical concepts crucial for comprehending its vast landscape. Exploratory Data Analysis (EDA) EDA is a crucial preliminary step in understanding the characteristics of the dataset.

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

Mlearning.ai

Data Extraction, Preprocessing & EDA & Machine Learning Model development Data collection : Automatically download the stock historical prices data in CSV format and save it to the AWS S3 bucket. Data Extraction, Preprocessing & EDA : Extract & Pre-process the data using Python and perform basic Exploratory Data Analysis.

Python 52