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Machine Learning and Data Science Blueprints for Finance From Building Trading Strategies to RoboAdvisors Using Python

studies in trading strategies and portfolio management Reinforcement learning models and techniques used for building trading strategies;

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Python for Algorithmic Trading From Idea to Cloud Deployment

algorithmic trading Learn how to retrieve financial data from public and proprietary data sources Explore vectorization for financial analytics with;

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Machine Learning for Algorithmic Trading

Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn;

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Hands-On Data Science and Python Machine Learning

wants to analyze and gain actionable insights from data using Python, this book is for you. Programmers with some experience in Python who;

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Machine Learning with Python

best strategies for rising up in the marketplace. Python can provide an easy understanding to your data because of its capabilities as a;

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Artificial Intelligence in Finance A PythonBased Guide

trading. Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine;

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Machine Learning Applications Using Python

of implementing applied machine learning Build Python machine learning examples in the three subject areas Who This Book Is For Data scientists and;

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Building Machine Learning Systems with Python

datasets and libraries to help you build practical machine learning systems. Using machine learning to gain deeper insights from data is a key;

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Python

effective strategies. * Develop a strategy to deal with a large amount of data. * Use of Python code for implementing a range of machine;

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Python Machine Learning

Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization * Learn effective strategies and best;

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Data Science Projects with Python

scientist, or business analyst who wants to get started using Python and machine learning techniques to analyze data and predict outcomes, this book;

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Python Machine Learning

Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs;

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Detecting Regime Change in Computational Finance

Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to financial market monitoring;

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Detecting Regime Change in Computational Finance

Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to financial market monitoring;

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Python for Finance Cookbook

used to model financial time series data Who this book is forThis book is for financial analysts, data analysts, and Python developers who;

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Hands-On Financial Trading with Python

quantitative analysis using Python, and learn how to build algorithmic trading strategies with Zipline using various market data sources. Using Zipline;

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Machine Learning in Finance

covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective;

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Machine Learning in Finance

covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective;

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Machine Learning on Geographical Data Using Python

, and an overview of Python tools for geodata. Specifics and difficulties one may encounter when using geographical data are discussed: from;

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Practical Machine Learning for Data Analysis Using Python

Practical Machine Learning for Data Analysis Using Python is a problem solver's guide for creating real-world intelligent systems. It;

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Python Data Science Essentials -

to test your data science hypotheses * Choose the most effective and scalable learning algorithm for your data science tasks * Optimize;

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Python Machine Learning -

learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data. What You Will Learn;

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Python

Learn to solve challenging data science problems by building powerful machine learning models using Python About This Book * Understand;

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Machine Learning Using R

shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with;

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Introduction to Data Science

experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis;

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Training Systems Using Python Statistical Modeling

Leverage the power of Python and statistical modeling techniques for building accurate predictive models Key Features Get introduced to;

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Blueprints for Text Analytics using Python Machine Learning Based Solutions for Common Real World NLP Applications

quickly. Extract data from APIs and web pages Prepare textual data for statistical analysis and machine learning Use machine learning for;

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