Name: Video recording for Live-Coding Gradient Boosting from Scratch - Codementor Events
Uploaded: 2023-02-17
Description: Griogorii will be introducing what is machine learning with a live demonstration on how to implement Decision Trees and Gradient Boosting algorithm. This talk will give you a better understanding on how to use machine learning in your analysis or solution.

## About the talk
In today's world, machine learning has been used extensively in our daily life, from sending over a text to browsing on social media. To understand machine learning, Gradient Boosting algorithm would be a great starting point. In this talk, I will code and explain everything from scratch: from building of an individual Decision Tree to the ensembling logic. We will also compare the performance of our implementation to the industry standard library — sklearn. In a few lines of code viewers will see how Machine Learning works under the hood. 

### This talk will cover
- Numpy: a Python library for fast array manipulations which we will need to understand the code
- Machine Learning: brief introduction and testing a baseline solution on a toy dataset
- Decision Trees: how they learn from data and make predictions
- Gradient Boosting: the mechanism of ensembling individual Decision Trees to improve the model's performance


Programming & Development

Senior Data Analyst at Yandex

Grigorii Budoragin

LinkedIn

GitHub

Griogorii will be introducing what is machine learning with a live demonstration on how to implement Decision Trees and Gradient Boosting algorithm. This talk will give you a better understanding on how to use machine learning in your analysis or solution. 

Video recording for: Live-Coding Gradient Boosting from Scratch

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