Machine Learning History and Overview
In this post, I cover some basic concepts about Machine Learning. Machine Learning is not just a buzzword; it’s a force shaping the present and future of computing.
Tag: statistics
Why should you use R-Squared?
This article aims to review R-squared, starting with its definition and delving into its applications, advantages, and limitations.
What is the Difference Between R-squared and Adjusted R-squared?
R-squared and Adjusted R-squared are valuable tools for assessing the quality of regression models, but they serve different purposes and are applied in distinct scenarios.
What is Variation and Standard Deviation?
In this article, we will explore what variation is, delve into the concept of standard deviation, and discuss the relationship between these two ideas.
Housing Cost: Prediction
Completing the housing cost prediction model. The results were great and landed in the top 20% of Kaggle submission on the fist try!
Housing Cost: Data Model
Creating a data model for predicting home values is a fun and challenging task! This article walks through data processing steps.
Mortality Rates: Deep Dive
A continuation of the mortality rates analysis with Python using clustering and a neural network.
Mortality Rates: An Introduction
Introduction into a data exercise for clustering and machine learning with Python!
Combinatorics Problems and Solutions
Combinatorics, a branch of mathematics dealing with counting and arranging objects or events, offers intriguing problems that require creative thinking and careful analysis to solve.
Combinatorics: Unlocking the Secrets of Counting and Probability
Combinatorics, a branch of mathematics that deals with counting, arrangements, and selections, is a powerful tool in the world of probability and statistics.