Introduction to Support Vector Machines
In this article, we will understand how support vector machines work and its application in trading. We will also go through the maths behind the SVM and the process of using it in a non-linear model....
Machine Learning
Learn basics to advanced concepts in machine learning and its implementation in financial markets. Includes deep learning, tensor flows, installation guides, downloadable strategy codes along with real-market data.
Scikit Learn Tutorial: Installation, Requirements and Building Classification Model
In this Scikit learn tutorial, we will see how we can leverage the power and simplicity of Scikit Learn to build a classification model (also called a classifier) and tune its parameters in a step by step guide....
Trading Using Machine Learning In Python
In this Python machine learning tutorial, we have tried to understand how machine learning has transformed the world of trading and then we create a simple Python machine-learning algorithm to predict the next day’s closing price for a stock....
K-Means Clustering Algorithm For Pair Selection In Python
In this article on the K-means machine learning algorithm, we will understand how it works and its importance in the world of statistical arbitrage trading. We will also develop and code a Statarb strategy using the K-means algorithm....
Neural Network In Python: Introduction, Structure And Trading Strategies
In this Neural network in Python tutorial, we would understand the concept of neural networks, how they work and their applications in trading....
Machine Learning Basics
This article on Machine Learning Basics aims to clarify Machine Learning basic concepts including evolution, classification & applications of Machine Learning....
Machine Learning In Trading Q&A By Dr. Ernest P. Chan
A Machine Learning in Trading Q&A session with Dr. Ernest Chan. You are free to ask him any query pertaining to this topic....
Ensemble Methods - Bagging And Boosting
This blog demonstrates some methods to improve the performance of decision trees & focus on ensemble methods like Bagging and Boosting to build decision trees....
Gini Index For Decision Trees
This blog aims to introduce and explain the concept of Gini Index and how it can be used in building decision trees, along with an example....