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.

Top Picks

Reinforcement Learning in Finance: Resources and Expert Advice from Paul Bilokon

Discover expert resources on Reinforcement Learning in Finance, featuring insights and strategies from Dr. Paul Bilokon. Learn how RL is transforming trading with AI-driven solutions and practical tools....
15 min read

Neural Network In Python: Types, Structure And Trading Strategies

What is a neural network and how does it work? How can you create a neural network with the famous Python programming language? In this tutorial, learn the concept of neural networks, their work, and their applications along with Python in trading....
19 min read

Machine Learning Basics: Components, Application, Resources and More

Machine Learning basics, algorithms, concepts and techniques are the talk of the day! Machine Learning has dramatically altered every field. Dive into the basics of machine learning, and learn all about it....
14 min read

An Introduction to Unsupervised Learning for Trading

Learn about the basics of unsupervised learning algorithms and their use cases in Finance/Investment/Trading with examples in Python....
15 min read

Gold Price Prediction: Step By Step Guide Using Python Machine Learning

A guide about Gold price using prediction using machine learning in Python. Learn about defining the variables to create a linear regression model, and eventually predicting the Gold ETF prices....
7 min read

Machine Learning Strategy using Blueshift Visual Programming

We use Blueshift Visual Programming to create a machine learning strategy without writing any code! We also backtest and then live trade the strategy....
10 min read

Reinforcement Learning in Trading: Components, Challenges, and More

In this article, we will start with the concept of reinforcement learning and its components. Further, we will look at the learning process of the model and how to apply in trading....
12 min read

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....
15 min read

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....
14 min read

Machine Learning

Introduction to XGBoost in Python

Unlock the power of XGBoost in Python with our beginner-friendly guide. Learn the fundamentals, interpret models, and explore its application in trading. Discover how to overcome challenges and enhance your trading strategies with this versatile machine learning algorithm....
Machine Learning
17 min read

Machine Learning Classification: Concepts, Models, Algorithms and more

Explore powerful machine learning classification algorithms to classify data accurately. Learn about decision trees, logistic regression, support vector machines, and more. Master the art of predictive modelling and enhance your data analysis skills with these essential tools....
Machine Learning
24 min read

Bag of Words: Approach, Python Code, Limitations

Explore Bag of Words (BoW) in NLP with our detailed guide. Learn the BoW approach, implement it in Python, and understand its limitations. After reading, you'll confidently create BoW models, grasp their applications, and recognize their caveats in text analysis....
Machine Learning
15 min read

Top 10 Blogs on Machine Learning | 2023

Explore a curated collection of our finest machine learning blogs spanning various expertise levels, tailored for students ranging from beginners to advanced practitioners....
Machine Learning
6 min read

K-Nearest Neighbors Algorithm: Steps to Implement in Python

With KNN, you can effortlessly classify and predict data points based on their proximity to the k nearest neighbors. Find out more about the simplicity and robustness of KNN and let it help you revolutionise your trading experience....
Machine Learning
12 min read

Autocorrelation in Trading: A Practical Python Approach to Analyzing Time Series Data

Autocorrelation can do a lot. Discover how this powerful statistical tool can uncover hidden patterns in time series data.Get ready to dive into the fascinating world of autocorrelation with this informative blog!...
Machine Learning
14 min read

Convolutional Neural Networks in Trading with Python: A Complete Guide for CNN

A convolutional neural network is an important concept of deep learning and can be applied to trading as well. But what is it and how can it be applied to trading? This informational blog covers it all....
Machine Learning
11 min read

Machine Learning for Algorithmic Trading in Python: A Complete Guide

Python's popularity and its rich ecosystem of libraries, coupled with the simplicity of implementing Machine Learning have made machine learning for algorithmic trading in Python a popular choice. Get all these useful insights with this informative blog....
Machine Learning
17 min read

RNN, LSTM, and GRU For Trading

Use the power of RNN (Recurrent Neural Networks), LSTM (Short Term Memory networks) & GRU (Gated Recurrent Unit Network) and predict the stock price....
Machine Learning
7 min read

Random Forest Algorithm In Trading Using Python

Discover step-by-step instructions to preprocess data, build models, interpret feature importance, and evaluate trading strategies. Overall, gain practical skills to enhance trading decisions using random forest algorithms with this comprehensive blog....
Machine Learning
7 min read