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The history of ESG: A journey towards sustainable investing

IBM Big Data Hub

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. In response, asset managers began to develop ESG strategies and metrics to measure the environmental and social impact of their investments.

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Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg

AWS Big Data

Data files in snapshots are stored in one or more manifest files that contain a row for each data file in the table, its partition data, and its metrics. Run the job again to add orders 2001 and 2002, and update orders 1001, 1002, and 1003. Run the job again to add order 3001 and update orders 1001, 1003, 2001, and 2002.

Snapshot 108
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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

Working with highly imbalanced data can be problematic in several aspects: Distorted performance metrics — In a highly imbalanced dataset, say a binary dataset with a class ratio of 98:2, an algorithm that always predicts the majority class and completely ignores the minority class will still be 98% correct. In their 2002 paper Chawla et al.

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Credit Card Fraud Detection using XGBoost, SMOTE, and threshold moving

Domino Data Lab

from sklearn import metrics. This is to prevent any information leakage into our test set. 2f%% of the test set." 2f%% of the test set." Fraudulent transactions are 0.17% of the test set. 2f%% of the test set." Fraudulent transactions are 50.00% of the test set. Feature Engineering.

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Unintentional data

The Unofficial Google Data Science Blog

With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. Yet when we use these tools to explore data and look for anomalies or interesting features, we are implicitly formulating and testing hypotheses after we have observed the outcomes.

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The Data Visualization Design Process: A Step-by-Step Guide for Beginners

Depict Data Studio

Apply the Squint Test In these before scatter plot on the left, the cluttered appearance distracts us from the data. Apply the Squint Test. I like to test my drafts ahead of time to make sure they’ll still be legible even if they’re printed in grayscale. You can test your drafts a couple of different ways.