Let's use ChatGPT to build a pairs trading bot in Python and understand pairs, algorithmic, algo-trading, and stock trading strategies. Compute z-scores, log, cumulative, and portfolio returns. Apply data science strategies to financial analysis and trading strategies for stocks, forex, cryptocurrencies, Bitcoin, Ethereum, and altcoins.
Dive into the world of image segmentation with PyTorch. From tensors to UNet and FPN architectures, grasp the theory behind convolutional neural networks, loss functions, and evaluation metrics. Learn to mold data and tackle real-world projects, equipping developers and data scientists with versatile deep-learning skills.
The goal of this course is to teach you how to deploy machine learning models in Flask. You'll also learn to deploy applications to the web. You'll learn to train your models, test them, and ensure that they are of the best quality.
Learn core Apache Kafka features along with creating Java, Node.js and Python producers and consumers