PickAClass · Trading, Investing & Money · Algorithmic & Quantitative Trading

Machine Learning for Trading

Apply machine learning models, including regression, classification, and reinforcement learning, to predict market movements and generate trading signals.

Machine Learning for Trading

Tracking Model Training in Jupyter Notebooks with MLflow

Applied Machine Learning with Python: A Practical Introduction

Neural Networks for Tabular Data and Car Price Prediction

Python for Credit Risk Analysis and Default Prediction

Data Preparation for Machine Learning in Python

Debugging Machine Learning Code: Diagnose, Trace, and Fix ML Pipelines

Evaluating and Analyzing Machine Learning Model Performance

Python Machine Learning: Analyze Data and Apply Models

Statistical Machine Learning with Python

Octave Machine Learning: Apply, Analyze, and Build Models

Matrix Calculus for Data Science and Machine Learning

Practical Python Machine Learning by Example

House Price Prediction with Python and Linear Regression

Data Analysis and Machine Learning with Octave

Implementing Machine Learning Algorithms with Python

End-to-End Machine Learning Engineering with PyTorch

Practical Machine Learning Projects in Python: From Theory to Code

Practical Machine Learning for Mechanical Engineers

Introduction to Machine Learning: Core Algorithms and Gradient Descent

Implementing Perceptrons and Logistic Regression with Python

Introduction to Machine Learning in JavaScript with TensorFlow.js

Refund Request Filtering with Neural Networks

Machine Learning in JavaScript: Pre-Trained TensorFlow.js Models

Practical Statistics and Machine Learning with TensorFlow and Keras