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....
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.
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....
Random Forest Algorithm In Trading Using Python
This blog discusses what are Random Forests, how do they work, how they help in overcoming the limitations of decision trees....
Top 10 Machine Learning Algorithms For Beginners
Harness the power of machine learning to make better trades. Let us understand the top 10 machine learning algorithms for beginners...
Cross Validation In Machine Learning Trading Models
After reading this, you will be able to determine if your model is good in predicting which signal and performance of model in different stress scenarios...
Top Machine Learning Blogs Of 2018
This article lists down the top machine learning blogs for beginners as well as advanced readers to know how to apply machine learning concepts to trading....
Random Walk Simulation Of Stock Prices Using Geometric Brownian Motion
This blog will help you simulate the stock prices using Random Walk Method...
RNN, LSTM, And GRU For Trading
We will use the power of RNN (Recurrent Neural Networks), LSTM (Short Term Memory networks) & GRU (Gated Recurrent Unit Network) and predict the stock price...
Decision Tree For Trading Using Python
We will focus on trading and how to use decision trees to find trading rules that allow us to gain an edge in the market....