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You are here: Home / Archives for Machine Learning

Machine Learning

Linear Regression Using Matrix Multiplication in Python Using NumPy

March 17, 2020 by cmdlinetips

Linear Regression fit with Matrix Multiplication in Python

Linear Regression is one of the commonly used statistical techniques used for understanding linear relationship between two or more variables. It is such a common technique, there are a number of ways one can perform linear regression analysis in Python. In this post we will do linear regression analysis, kind of from scratch, using matrix […]

Filed Under: Linear Regression by Matrix Multiplication, Linear Regression in Python, Python Tips, Scikitlearn Linear Regression Tagged With: Linear Regression, Linear Regression by Matrix Multiplication

Introduction to Probabilistic Programming with PyStan

December 14, 2019 by cmdlinetips

Stan, developed by a team led by Andrew Gelman, is one of the leading languages to do probabilistic computing. The core of probabilistic computing lies in Bayesian statistics. Stan gets its name in honor of Stanislaw Ulam, co-inventor of the Monte Carlo method, the computational engine behind all Bayesian computing. Stan is C++ package providing […]

Filed Under: Introduction to PyStan, PyStan, PyStan Example Tagged With: PyStan

Introduction to Linear Regression in R

November 2, 2019 by cmdlinetips

linear regression: scatter plot

Linear Regression is one of the most commonly used statistical methods. Linear modeling and Linear regression helps us understand the relationship between multiple variables. In the simplest case, linear regression is about understanding the relation between two variables, X and Y. One of the ways to understand linear regression is that we have the observed […]

Filed Under: Linear Regression in R Tagged With: Linear Regression in R

Introduction to Linear Regression in Python

September 23, 2019 by cmdlinetips

Linear Regression example: Scatterplot

Linear regression is one of the most commonly used statistical technique to understand relationship between two quantitative variables (in the simplest case). Simple linear regression models relationship between two variables X and Y, where X and Y are vectors with multiple values. For example, X could how well each country is doing economically, like GDP […]

Filed Under: Linear Regression in Python, Scikitlearn Linear Regression Tagged With: Linear Regression in Python, Scikitlearn Linear Regression

Dimensionality Reduction with tSNE in Python

July 14, 2019 by cmdlinetips

tSNE plot: Visualizing high dimensional data

tSNE, short for t-Distributed Stochastic Neighbor Embedding is a dimensionality reduction technique that can be very useful for visualizing high-dimensional datasets. tSNE was developed by Laurens van der Maaten and Geoffrey Hinton. Unlike, PCA, one of the commonly used dimensionality reduction techniques, tSNE is non-linear and probabilistic technique. What this means tSNE can capture non-linaer […]

Filed Under: Dimensionality Reduction with tSNE, tSNE in Python Tagged With: Dimensionality Reduction with tSNE, tSNE in Python

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