Hands-On Python for Finance This is the code repository forHands-On Python for Finance, published by Packt. A practical guide to implementing financial analysis strategies using Python What is this book about?
Following is what you need for this book: Hands-On Machine Learning for Algorithmic Trading is for data analysts, data scientists, and Python developers, as well as investment analysts and portfolio managers working within the finance and investment industry. If you want to perform efficient algorit...
He has taught various finance courses at eight universities in Canada, Singapore, and the U.S. He has published 23 research and teaching-related papers, and is the author of 6 books. Two of his recent publications are Python for Finance and Financial Modelling using R. He is well-versed ...
In R, we have several ways to sort data. The easiest way is to use the sort() function (see the code for the simplest one-dimensional data):> set.seed(123) > x<-rnorm(100) > head(x) [1] -0.56047565 -0.23017749 1.55870831 0.07050839 0.12928774 1.71506499 > y<-sort(x) > head(y...
Implement HMMs using different datasets in Python using different packages Understand multiple inference algorithms and how to select the right algorithm to resolve your problems Develop a Bayesian approach to inference in HMMs Implement HMMs in finance,natural language processing (NLP),and image processin...
Visualization packages for Julia Dynamic visualization Saving pictures as pdf Saving dynamic visualization as HTML file Summary Review questions and exercises Statistical Modeling in Anaconda Introduction to linear models Running a linear regression in R Python Julia and Octave Critical value and the decisio...
1 Machine Learning for Trading 2 Market and Fundamental Data 3 Alternative Data for Finance 4 Alpha Factor Research 5 Strategy Evaluation 6 The Machine Learning Process 7 Linear Models 8 Time Series Models 9 Bayesian Machine Learning 10 Decision Trees and Random Forests ...
By using concrete examples, minimal theory, and two production-ready Python frameworks―scikit-learn and TensorFlow―author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple li...
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You have full access to this open access chapter,Download conference paper PDF 1Introduction According to [38], the degree of immersion on a Virtual Environment (VE) is related to the description of the technology, the realism that a display can show, the number of sensory types, the surroun...