A few key points…
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. Using matrix algebra… Hello World, ever wondered how your favourite Machine Learning algorithms actually work? Let’s see how a Multiple Linear Regression(MLR) model computes the ideal parameters, given the features matrix (X) and …
![Machine Learning for Time Series Data in Python [Regression]](https://i3.wp.com/miro.medium.com/v2/resize:fit:875/0*cOFt58mkYzWOS62r?w=875&resize=875,1094&ssl=1 "Machine Learning for Time Series Data in Python [Regression]")
Machine Learning for Time Series Data in Python [Regression]
Author(s): Youssef Hosni Originally published on Towards AI. A practical guide for time series forecasting using machine learning models in Python Time series data is one of the most common data types in the industry and you will probably be working with …
How To Use The LazyPredict Python Library To Select The Best Machine Learning Model In One Line
Author(s): Serafeim Loukas, PhD Originally published on Towards AI. More details Photo by Andrea De Santis on Unsplash. Lazypredict is a cutting-edge Python library that revolutionizes the process of building machine-learning models. With Lazypredict, we can easily build a wide range of …
Do House Sale-Price Prediction Like a Professional Data Scientist
Author(s): John Adeojo Originally published on Towards AI. Advanced Machine Learning Tactics Image by Author: Generated by Midjourney Join me as I work through a fun and challenging regression problem — predicting house-sale prices. I will walk you through everything from best …
A Quick Introduction to Machine Learning: Part-2 (Regression)
Author(s): Abhijith S Babu Originally published on Towards AI. In this article, we are going to see some of the supervised learning techniques. Before reading this article, read part-1 to have a basic idea about supervised learning. One of the commonly used …
Efficient Nonlinear Function Fitting with Matlab’s nlinfit
Author(s): LucianoSphere Originally published on Towards AI. Powerful and versatile fitting of complex functions with Matlab's nlinfit function Photo by eskay lim on Unsplash Fitting procedures play a crucial role in various scientific and engineering fields, enabling researchers to model and analyze …
Heteroscedasticity and Homoscedasticity in Regression Learning
Author(s): Jose D. Hernandez-Betancur Originally published on Towards AI. Variability of the residual in regression analysis 1. Introduction In data science and statistical analysis, several challenges can appear during the modeling process, making it difficult to get high-performance models. One of those …
5 Commonly Used Python Datasets
Author(s): Yeung WONG Originally published on Towards AI. There are some handy datasets ready to be analysed and can be easily obtained from Python scikit-learn package This member-only story is on us. Upgrade to access all of Medium. Scikit-learn (sklearn) provides several …
5 Commonly Used Python Datasets
Author(s): Yeung WONG Originally published on Towards AI. There are some handy datasets ready to be analysed and can be easily obtained from Python scikit-learn package Scikit-learn (sklearn) provides several datasets that are useful for practicing machine learning techniques. These datasets can …
ChatGPT Guide for Machine Learning Top 100 Most Important Prompts
Author(s): Gencay I. Originally published on Towards AI. Mastering Machine Learning with ChatGPT: The Top 100 Most Important Prompts for Deep Learning, AI, Machine Learning, and Computer Vision This member-only story is on us. Upgrade to access all of Medium. Image by …
REGRESSION — HOW, WHY, AND WHEN?
Author(s): Data Science meets Cyber Security Originally published on Towards AI. SUPERVISED MACHINE LEARNING — PART 2 REGRESSION: Image source: By author As we previously saw, the supervised part of machine learning is separated into two categories, and from those two categories, …
Non-Linear Models
Author(s): Dr. Marc Jacobs Originally published on Towards AI. When the formula looks nice but is hurting the analysis This is not my first blog concerning non-linear models. In fact, if you sift through my lists of blogs, you can see I …
Modelling Mortality in Laying Hens
Author(s): Dr. Marc Jacobs Originally published on Towards AI. Combining mortality and temperature data for an exciting endeavor This post will NOT be about Kaplan-Meier or Cox Regression, but about modeling time-to-event data via the Binary, Poisson, or Negative-Binomial way. If you …
Growing Teeth
Author(s): Dr. Marc Jacobs Originally published on Towards AI. Bayesian analysis of the Teeth Growth dataset. To show that Bayesian analysis is really not that difficult, or far from how we humans deal with (new) information, I have posted several Bayesian analyses …
Machine Learning A-Z Briefly Explained
Author(s): Gencay I. Originally published on Towards AI. Regression Model in Weight Prediction This member-only story is on us. Upgrade to access all of Medium. Image by Author In this article, I attempt to indicate to you machine learning A-Z briefly. You …
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