Quantra – Python for Machine Learning in Finance

Quantra – Python for Machine Learning in Finance

Quantra – Python for Machine Learning in Finance

This course is perfect for those looking to get started on using Python for Machine learning. Learn in a step-by-step fashion to create a Machine Learning algorithm for trading. Evaluate the performance of the machine learning algorithm and perform backtest, paper trading and live trading with Quantra’s integrated learning.

  • Backtest, analyse the strategy returns and drawdowns, paper trade and live trade machine learning strategy
  • Describe machine learning and its applications in finance
  • List and implement common tasks in machine learning such as feature creation, training, forecasting, and evaluation in a step-by-step fashion
  • Explain and implement accuracy, f1-score, recall and confusion matrix and R-squared
  • Implement the train-test split for time series data

What You’ll Learn In Python for Machine Learning in Finance?

  • Introduction
  • Machine Learning Overview
  • Introduction to Python
  • Financial Market Data and Visualisation
  • Machine Learning Tasks
  • Target Variable and Features
  • Machine Learning Algorithms
  • Train-Test Split
  • Training & Forecasting
  • Metrics to Evaluate Classifier
  • Introduction to Backtesting
  • Live Trading on Blueshift
  • Live Trading Template
  • Metrics to Evaluate a Regressor
  • Run Codes Locally on Your Machine
  • Course Summary

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Quantra – Python for Machine Learning in Finance

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