The Pleasure of Finding Things Out
  • About Me
  • Linux
  • Machine learning
  • Python
  • R
  • Statistical modeling

Gradient Descent for Logistic Regression

Implementing gradient descent in order to estimate logistic regression coefficients

more ...

The Buried Assumption in Constant Dispersion Tweedie Models

The buried assumption in constant dispersion tweedie models

more ...

Understanding the Graph Convolutional Network Propogation Model

Walking through the forward pass described in the Kipf and Welling paper

more ...

Gibbs Sampling for Bayesian Linear Regression

Gibbs sampling approaches for Bayesian linear regression

more ...

Using Dijkstra's Algorithm to Find All Shortest Paths in a Graph

Using Dijkstra's Algorithm to Find All Shortest Paths in a Graph

more ...

Smoothing Data with Cubic Splines

Smoothing data with cubic spline approaches

more ...

A Matrix Factorization Approach to Linear Regression

A matrix factorization approach to linear regression

more ...

Generating Correlated Boostrap Reserve Estimates

Generating correlated boostrap reserve estimates with R

more ...

Clustering in Python with k-Means

Clustering in Python with k-Means

more ...

Calculating Distance Between Geographic Coordinate Pairs

Using the Haversine formula to compute geographic distances with examples

more ...

Accessing C Library Functions from Python

Accessing C library functions from Python

more ...

Developing Command Line Applications with argparse and configparser

Developing command line applications with argparse and configparser

more ...

Introduction to Special Symbols in data.table

Introduction to special symbols in data.table

more ...

Applications of Inverse Transform Sampling

Applications of inverse transform sampling

more ...

Introduction to sqlite3

Introduction to sqlite3 in Python

more ...

Polynomial Interpolation: Newton's Method

Polynomial interpolation via Newton's method

more ...

Sampling from Mixed Exponential Distributions using the Inverse Transform Method

Sampling from mixed exponential distributions using the inverse transform method

more ...

Using pip Behind a Proxy

Using pip hehind a proxy

more ...

Interacting with Oracle from Pandas

Leveraging Pandas to read and write tables in an Oracle database

more ...

User-Defined Binary Operators in R

Implementing custom binary operators in R

more ...

Variable Argument Functions in R

Implementing variable argument functions in R

more ...

Working with PDFs in PyPDF2

Working with PDFs in PyPDF2

more ...

Evaluating Classifier Performance in scikit-learn

Assessing the quality of machine learning classifiers with scikit-learn

more ...

Machine Learning Classification with Naive Bayes

Implementing a Navie Bayes Classifier from scratch in Python

more ...

Shared Data Parallel Processing in Python

Sharing data between processes with Python's multiprocessing library

more ...

  • «
  • 1
  • 2
  • 3
  • »

About James Triveri
Data Scientist specializing in ML/DL, Geospatial Data Science and Scientific Computing.

  • Social

    • LinkedIn
  • Links

    • Python.org
    • Scikit-Learn
    • Scipy
    • PyTorch

© 2023 James Triveri · Powered by pelican-bootstrap3, Pelican, Bootstrap

Back to top