پخش زنده پیرامون برخی اصطلاحات و مشکلات در یادگیری ماشین و یادگیری عمیق

Machine Learning codes approaching models, clustering, underfitting, overfitting and neural networks.

Learning Machine Learning Through Data

Predicting the price of any 🏚house🏡 in Melbourne, Australia🌏by tracing through the decision tree🌳, always picking the path corresponding to that house's characteristics🏘. The predicted price💰 for the house is at the bottom of the tree. The point at the bottom where we make a prediction is called a leaf🍀

Base Iris traz informações sobre algumas dimensões e partes de diferentes flores. Baseado nessas dimensões podemos prever qual tipo de flor estamos tratando!

This repository contains one of the pre-requisite notebooks for my internship as a Data Analyst at Technocolabs. It includes some of the micro-courses from kaggle.

This is a report on what are the things that I have learned from the Kaggle course intro to deep learning.

Predictive machine learning model with 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa.

IMP KEYS OF ML MODEL

Machine Learning Glossary

kaggle course about machine learning basics

Overfitting is often caused by using a model with too many parameters or if the model is too powerful for the given dataset. On the other hand, underfitting is often caused by the model with too few parameters or by using a model that is not powerful enough for the given dataset. In this we are discussing about that.

This repository contains pre-requisite notebooks of Machine Learning Course from Kaggle for my internship as a Machine Learning Application Developer at Technocolabs.