Feature Selection Techniques in Machine Learning: Principles and Implementation
0x00 Introduction
In machine learning, data and features determine the performance ceiling, while models and algorithms merely approach this ceiling. This illustrates the critical role of feature engineering in machine learning applications. In practice, feature engineering is often the key to successful machine learning implementations.
What ...
Posted on Sat, 25 Jul 2026 16:18:57 +0000 by detrox
Practical Data Preprocessing with Pandas for Stroke Risk Analysis
Sample Dataset: Patient Demographics and Clinical Metrics
ID
Gender
Hypertension
Married
Occupation
Residence
BMI
SmokingHistory
Stroke
9046
Male
No
Yes
Private
Urban
36.6
FormerSmoker
Yes
51676
Female
No
Yes
SelfEmployed
Rural
NaN
NeverSmoked
Yes
31112
Male
No
Yes
Private
Rural
32.5
NeverSmoked
Yes
60182
Female
No
Yes
Private
Urba ...
Posted on Sun, 14 Jun 2026 17:26:31 +0000 by soccerstar_23
Time Series Prediction with LightGBM: Feature Engineering and Model Training
Data Exploration with Visualization
Understanding the dataset structure is crucial before building any model. The training data contains house identifiers, daily timestamps, house types, and the target variable representing electricity consumption.
import numpy as np
import pandas as pd
import lightgbm as lgb
import matplotlib.pyplot as plt
fro ...
Posted on Fri, 08 May 2026 17:39:22 +0000 by ejwf