## Machine Learning part 7: Random Forests Explained

#7 random forest Machine Learning 👉 ♡ supervised learning♡ unsupervised learning♡ reinforcement learning recap:🔖 types of supervised learning ✔ classification 📑 ✔ regression 📈 ✔ mixed ⚗– tree based – random forest 🎈– neural networks– support vector machines 🌳 overfitting and the problem with trees trees classify by drawing square boxes around the data, which… Continue Reading Machine Learning part 7: Random Forests Explained

## Machine Learning part 6: enthropy and gain

Machine Learning 👉 ♡ supervised learning ♡ unsupervised learning ♡ reinforcement learning recap: 🔖 types of supervised learning ✔ classification 📑 ✔ regression 📈 ✔ mixed ⚗ tree based :balloon: random forest neural networks support vector machines 🎗 enthropy enthropy is just another word for expected value in the past post, we decided what to… Continue Reading Machine Learning part 6: enthropy and gain

## Machine Learning part 5: mixed methods

#5 mixed methods Machine Learning 👉 ♡ supervised learning♡ unsupervised learning♡ reinforcement learning types of supervised learning ✔ classification 🗒 ✔ regression 📈 ✔ mixed ⚗– tree based– random forest– neural networks– support vector machines mixed methods are used for classification and regression. 🌱 tree based method  those trees used for both for classification and… Continue Reading Machine Learning part 5: mixed methods

## Machine Learning part 4: Gradient Descent and cost function

#4 gradient descent and cost function Machine Learning 👉 ♡ supervised learning♡ unsupervised learning♡ reinforced learning ☄ cost function cost function is also called mean squared error. well mean means sum of elements / number of elements. here we take the sum of all squared errors (error1 ^ 2 + error2 ^ 2 + error3… Continue Reading Machine Learning part 4: Gradient Descent and cost function

## Machine Learning part 2: supervised learning

Machine Learning ♡ supervised learning♡ unsupervised learning♡ reinforcement learning #2 supervised learning in supervised learning we have labelled data available. the machine just see and do as we do. types of supervised learning ✅ classification 🔖 :– logistic regression– supervised clustering ✅ regression 📈 – linear regression (single value)– multivariate linear regression ✅ mixed ⚗–… Continue Reading Machine Learning part 2: supervised learning

## Machine Learning part 1: introduction

what is it? wikipaedia defines machine learning as: _the scientific study of algorithms and statistical models that computer systems use to progressively improve their performance 📈 on a specific task. Machine learning algorithms build a mathematical model of sample data, known as “training data”, in order to make predictions or decisions without being explicitly programmed… Continue Reading Machine Learning part 1: introduction

## calculating distance for four features

if you want to calculate the distance between 4 features coordinates, you do it like that : A (1,2,5,1) B (7, 1, 3, 0)