Li-Hsiang Hsu – Medium

Li-Hsiang Hsu

Li-Hsiang Hsu

Pedaling Predictions: Machine Learning Insights into Parisian Bike Traffic

In this article, we will embark on a journey of exploring Parisian bike count data through various stages of machine learning, from data…

Mar 29

Pedaling Predictions: Machine Learning Insights into Parisian Bike Traffic

Mar 29

Li-Hsiang Hsu

Optimizing Parisian Bike Count Predictions: A Comparative Analysis of Model Performance and…

In this post, we’ll delve into the Parisian bike count data and compare the performance of various models and then fine-tune their…

Mar 28

Optimizing Parisian Bike Count Predictions: A Comparative Analysis of Model Performance and…

Mar 28

Li-Hsiang Hsu

Exploring Outlier Handling Techniques: A Comparative Analysis of Isolation Forest…

Handling outliers is a critical aspect of data preprocessing to ensure that statistical analyses and machine learning models remain robust…

Mar 23

Exploring Outlier Handling Techniques: A Comparative Analysis of Isolation Forest…

Mar 23

Li-Hsiang Hsu

Feature Selection with “Recursive Feature Elimination” (RFE) for Parisian Bike Count Data

In our previous article, we delved into the process of feature selection using the SelectKBest method. This technique offers several…

Feb 19

Feature Selection with “Recursive Feature Elimination” (RFE) for Parisian Bike Count Data

Feb 19

Li-Hsiang Hsu

Feature Selection with SelectKBest for Parisian Bike Count Data

Feature selection is a critical step in machine learning and aims at identifying the subset of features most relevant to the target…

Feb 14

Feature Selection with SelectKBest for Parisian Bike Count Data

Feb 14

Li-Hsiang Hsu

One-Way ANOVA Analysis of Parisian Bike Count Data

The analysis of Parisian bike count data involves delving into various factors that may influence bike traffic within the city. At earlier…

Feb 11

One-Way ANOVA Analysis of Parisian Bike Count Data

Feb 11

Li-Hsiang Hsu

Linearity Assessment of Parisian Bike Count Data

The analysis of data linearity is a fundamental aspect of data science, because the linearity will influence the selection of appropriate…

Feb 8

Linearity Assessment of Parisian Bike Count Data

Feb 8

Li-Hsiang Hsu

Dealing with Skewed Data Distribution: A Case of Parisian Bike Count Data

Our analysis of the Parisian bike count data highlighted a skewed distribution with high variability and a long right tail, deviating from…

Jan 3

Dealing with Skewed Data Distribution: A Case of Parisian Bike Count Data

Jan 3

Li-Hsiang Hsu

Unveiling Patterns: Visual Analysis of Paris Bike Count Data Distribution

As discussed in a prior quantitative analysis, understanding how data values are spread or concentrated is a fundamental step in…

Dec 30, 2023

Unveiling Patterns: Visual Analysis of Paris Bike Count Data Distribution

Dec 30, 2023

Li-Hsiang Hsu

Exploring Paris City’s Bike Count Data: Statistical Analysis of Data Distribution

Understanding the distribution of a dataset is a pivotal aspect of data analysis, providing insights into how values are spread or…

Nov 21, 2023

Exploring Paris City’s Bike Count Data: Statistical Analysis of Data Distribution

Nov 21, 2023

Li-Hsiang Hsu

Li-Hsiang Hsu

Passionate Data Scientist. Dedicated to multidisciplinary approaches to study human and artificial intelligence. Interested in art, perception and emotion.

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