Category Archives: Geek

Geek

Why Your Email Address Sucks (And How BruhEmail Can Fix It)

In a crowded digital landscape, your email address is often the first touchpoint of your professional brand. Yet, most professionals settle for cluttered, over-complicated addresses like name.lastname.1992@gmail.com because their preferred username was claimed years ago.

When you send a proposal, a resume, or a pitch, your email domain should reflect a sense of intentionality. It’s time to move past the limitations of standard providers and claim a custom email alias that is as concise as it is memorable.

Continue reading Why Your Email Address Sucks (And How BruhEmail Can Fix It)

How To Fit A Machine Learning Model To A Kaggle Dataset In 8 Lines

import pandas as pd
train_transaction_raw = pd.read_csv('data/ieee-fraud-detection.zip Folder/train_transaction.csv')

import TEF
train_transaction = TEF.auto_set_dtypes(train_transaction_raw, set_object=[0])

TEF.dfmeta(train_transaction)
TEF.plot_1var(train_transaction)
TEF.plot_1var_by_cat_y(train_transaction, 'isFraud')

TEF.fit(train_transaction, 'isFraud', verbose=2)

Disclaimer and Caveat

Every ML practitioner knows it is a risky behavior to fit a model without understanding the data. The purpose of this article is to introduce the universal usage of TEF only instead of detailed exploration. Within these code, we can only have a rough understanding about the dataset.

In the following section I will walk through these codes for this ieee fraud detection dataset. A more detailed exploration, feature engineering, and model selection may be published in the future.

Continue reading How To Fit A Machine Learning Model To A Kaggle Dataset In 8 Lines