Collection of Data Science tutorials and materials.

classification causal-inference interpretability

2020-04-26 · 👀This application has been created to help people to visually understand how machine learning works.

full-stack tensorflow-js linear-regression vue-js

A book on data science and machine learning with a foundation in applied statistics leading into deep learning.

machine-learning neural-networks linear-regression linear-discriminant-analysis

2020-02-12 · Creating organized tutorials for some of the machine learning concepts.

neural-networks convolutional-neural-networks logistic-regression linear-regression

Brief visual explanations of linear regression with diagrams, code examples and links to resources for learning more.

linear-regression regression tutorial article

This repo contains mathematical derivations and python implementations in numpy for key machine learning algorithms

linear-regression logistic-regression neural-networks k-nearest-neighbors

2016-06-02 · Linear regression from both frequentist and Bayesian perspectives.

maximum-likelihood-estimation linear-regression bayesian-linear-regression bayesian-inference

It is used to explain the relationship between independent variables and a single continuous dependent variable.

multinomial-regression regression linear-regression tutorial

We will explore linear regression and we will implement it using Python from scratch.

linear-regression regression tutorial article

2017-11-15 · This article will focus on a technique that helps in avoiding overfitting and also increasing model interpretability.

regularization linear-regression regression article

contents **1 - 10** of **16**

Don't forget to tag @BrianKissell in your comment, otherwise they may not be notified.