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Machine Learning for Finance in Python
- Trung cấpTrình độ kỹ năng
- 4.7+
- 535
Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.
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Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.
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Learn how to design Power BI visualizations and reports with users in mind.
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In this course, youll learn about the concepts of random variables, distributions, and conditioning.
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Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.
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Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.
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Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.
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In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.
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Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
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Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.
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Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.
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Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.
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Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.
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Learn to bring data into Microsoft Fabric, covering Pipelines, Dataflows, Shortcuts, Semantic Models, security, and model refresh.
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Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!
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Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.
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Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.
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Learn how to detect fraud using Python.
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Using Python and NumPy, learn the most fundamental financial concepts.
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Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.
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Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.
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Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.
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Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.
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Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.
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Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.
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Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.
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Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.
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Take your reporting skills to the next level with Tableau’s built-in statistical functions.
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Boost your coding with Windsurf, the AI-powered IDE that helps you build, debug, and deploy faster.
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Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!
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In this course, students will learn to write queries that are both efficient and easy to read and understand.
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