© 2022 Hashnode

#statistics

You just got admitted to study STATISTICS or you are currently studying STATISTICS and you are wondering how to go about it ?, You are tired of hearing statistics is same as mathematics?, then follow me here. You really what to understa…

I truly believe that one should understand the building blocks of data to be a spectacular data professional. Personally, I find it efficient to break down and categorize. Statistics, DS, ML,AI & Mathematics are contributors to ensuring we …

Introduction to Feature Scaling It is the last step in feature transformation. Feature Scaling is a method to standardize the independent features present in the data to a fixed range Methods to do …

Challenge Importance The time has come to add another layer to the hierarchy of Machine Learning models. Do we have the variable we want to predict in the dataset? YES: Supervised Learning Predicting…

Hi there 👋 I am Aleksandar and I am building Writings. Simple tool to write, organize and share your content. Hope you enjoy this article. Builders cry and laugh the most over their analytics. If yo…

In the data analysis and decision sector the terms correlation and causation are quite often confused, however, they are not synonyms, and here are the reasons why: TL;DR A correlation does not imply…

INTRODUCTION In data science, statistics is at the core of sophisticated machine learning algorithms, capturing and translating data patterns into actionable evidence. Data scientists use statistics t…

Overview Hi guys, In this blog I'll be describing a game and an approach to solve through by simulating the game. This might serve as a basic project for folks new to python or as an interesting problem to solve for a curious fella! :). pr…

© Jesús López 2022 Ask him any doubt on Twitter or LinkedIn 🎯 Chapter Importance Machine Learning is all about calculating the best numbers of a mathematical equation by minimising the distance betwe…

What is Data Science? Data Science is all about using various techniques, and algorithms to analyze large amounts of datasets (both structured & unstructured), to extract useful data insights, thus a…