The Pleasure of Finding Things Out: A blog by James Triveri

Querying SQL Server from Pandas

June 1, 2024 | The Pleasure of Finding Things Out: A blog by James Triveri

If you research how to connect to a database from Python, many examples use the pyodbc library, which, aptly named, creates a connection to any ODBC-compatible database. However, connections with pyodbc itself are uni-directional: Data can be re... [...Read more...]

Demonstration of Principal Component Analysis

April 28, 2024 | The Pleasure of Finding Things Out: A blog by James Triveri

Principal Component Analysis (PCA) is a statistical technique used in the field of data analysis and machine learning for dimensionality reduction while preserving as much of the data’s variation as possible. It’s particularly useful when dealing...

$A = U \Sigma V^{T}$

[...Read more...]

The Elbow Method for Determining the Number of Clusters in K-Means

April 28, 2024 | The Pleasure of Finding Things Out: A blog by James Triveri

The elbow method is a heuristic used in determining the optimal number of clusters in a k-means clustering algorithm. It is called the elbow method because it involves plotting the explained variation as a function of the number of clusters, and ...

[...Read more...]

Using the Singular Value Decomposition for Image Compression

April 28, 2024 | The Pleasure of Finding Things Out: A blog by James Triveri

The Singular Value Decomposition (SVD) is a mathematical technique used in linear algebra to decompose a matrix into three other matrices. Specifically, for any matrix , the SVD is a factorization of the form where: is . is (unitary with or...

$X$

[...Read more...]

Hyperparameter Search and Classifier Threshold Selection

April 28, 2024 | The Pleasure of Finding Things Out: A blog by James Triveri

The following notebook demonstrates how to use GridSearchCV to identify optimal hyperparameters for a given model and metric, and alternatives for selecting a classifier threshold in scikit-learn. First we load the breast cancer dataset. We will ...

[...Read more...]

Using the Singular Value Decomposition for Image Compression

April 28, 2024 | The Pleasure of Finding Things Out: A blog by James Triveri

The Singular Value Decomposition (SVD) is a mathematical technique used in linear algebra to decompose a matrix into three other matrices. Specifically, for any matrix , the SVD is a factorization of the form where: is . is (unitary with o...

$X$

[...Read more...]

The Elbow Method for Determining the Number of Clusters in K-Means

April 28, 2024 | The Pleasure of Finding Things Out: A blog by James Triveri

The elbow method is a heuristic used in determining the optimal number of clusters in a k-means clustering algorithm. It is called the elbow method because it involves plotting the explained variation as a function of the number of clusters, and...

[...Read more...]

Hyperparameter Search and Classifier Threshold Selection

April 28, 2024 | The Pleasure of Finding Things Out: A blog by James Triveri

The following notebook demonstrates how to use GridSearchCV to identify optimal hyperparameters for a given model and metric, and alternatives for selecting a classifier threshold in scikit-learn. First we load the breast cancer dataset. We will...

[...Read more...]

Estimating Logistic Regression coefficients From Scratch in Python

March 16, 2024 | The Pleasure of Finding Things Out: A blog by James Triveri

In this post, I’ll demonstrate how to estimate the coefficients of a logistic regression model using the Fisher Scoring algorithm in Python. These estimates will be compared with statsmodels coefficients to ensure consistency. In a generalized li...

$\mathrm{Ln} \big(\frac{\pi_{i}}{1 - \pi_{i}} \big) = \beta_{0} + \beta_{1}x_{i1} + \ldots + \beta_{p}x_{ip}$

[...Read more...]

Estimating Logistic Regression coefficients From Scratch in Python

March 16, 2024 | The Pleasure of Finding Things Out: A blog by James Triveri

In this post, I’ll demonstrate how to estimate the coefficients of a logistic regression model using the Fisher Scoring algorithm in Python. These estimates will be compared with statsmodels coefficients to ensure consistency. In a generalized l...

$\mathrm{Ln} \big(\frac{\pi_{i}}{1 - \pi_{i}} \big) = \beta_{0} + \beta_{1}x_{i1} + \ldots + \beta_{p}x_{ip}$

[...Read more...]

Python-bloggers

Data science news and tutorials - contributed by Python bloggers

Articles by The Pleasure of Finding Things Out: A blog by James Triveri

Querying SQL Server from Pandas

Demonstration of Principal Component Analysis

The Elbow Method for Determining the Number of Clusters in K-Means

Using the Singular Value Decomposition for Image Compression

Hyperparameter Search and Classifier Threshold Selection

Using the Singular Value Decomposition for Image Compression

The Elbow Method for Determining the Number of Clusters in K-Means

Hyperparameter Search and Classifier Threshold Selection

Estimating Logistic Regression coefficients From Scratch in Python

Estimating Logistic Regression coefficients From Scratch in Python