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

The Pleasure of Finding Things Out

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 ...

Utilizing Zero-Width Assertions with grep

Utilizing Zero-Width Assertions with grep

more ...

Estimating Logistic Regression Coefficents From Scratch in Python

Estimating Logistic Regression Coefficents From Scratch in Python

more ...

Assessing Goodness-of-Fit in Python

Assessing goodness-of-fit in Python with Scipy

more ...

Kernel Density Estimation from Scratch in Python

Kernel Density Estimation in Python

more ...

Expectation Maximization from Scratch in R

Expectation maximization from scratch in R

more ...

Bessel’s Correction

Correcting the bias in estimators of population variance

more ...

Derivation of the Normal Equations

Derivation of the Normal Equations via Least Squares and Maximum Likelihood

more ...

Goodness of Fit and Significance Testing for Logistic Regression Models

Assessing the quality of fit for logistic regression models

more ...

  • «
  • 1
  • 2
  • 3
  • »

About James Triveri
Data Scientist interested in ML/DL, automation and scientific computing.

  • Links

    • Python.org
    • The Python Module Index
    • Scikit-Learn
    • Scipy
    • PyTorch

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

Back to top