AI-Powered Automation: Building a Crypto Trading Bot
Reading lesson
Building an ML Price Prediction Model
Module 5 · AI and Machine Learning for Trading
15 min
Course lesson
Reading lesson
Premium
15 min
Sign in to track progress
Lesson format
Reading lesson with structured written material and clear navigation inside the course flow.
Access
Upgrade to Learner to open the full Academy library, certificates, and comparison tables.
Lesson preview
Step-by-Step ML Pipeline from sklearn.ensemble import RandomForestClassifier from sklearn.model_selection import TimeSeriesSplit from sklearn.metrics import accuracy_score, classification_report # 1. Create target variable df['target'] = (df['close'].shift(-1) > df['close']).astype(int) # 1 = up, 0 = down # 2....