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Python & Machine Learning for Financial Analysis| Programming Buddy Club | Discount Udemy Course

Python & Machine Learning for Financial Analysis | Programming Buddy Club | Free Udemy Courses

Python & Machine Learning for Financial Analysis| Programming Buddy Club | Discount Udemy Course


MASTER PYTHON PROGRAMMING FUNDAMENTALS AND HARNESS THE POWER OF ML TO SOLVE REAL-WORLD PRACTICAL APPLICATIONS IN FINANCE

Discount - $ 94.99 12.99 100% Off

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Course Includes

  • ☑️ 23 hours on-demand video
  • ☑️ 18 articles
  • ☑️ 15 downloadable resources
  • ☑️ Full lifetime access
  • ☑️ Access on mobile and TV
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What Will I learn?

  • ☑️ Master Python 3 programming fundamentals for Data Science and Machine Learning with focus on Finance.
  • ☑️ Understand how to leverage the power of Python to apply key financial concepts such as calculating daily portfolio returns, risk and Sharpe ratio.
  • ☑️ Understand the theory and intuition behind Capital Asset Pricing Model (CAPM), Markowitz portfolio optimization, and efficient frontier.
  • ☑️ Apply Python to implement several trading strategies such as momentum-based and moving average trading strategies.
  • ☑️ Understand how to use Jupyter Notebooks for developing, presenting and sharing Data Science projects.
  • ☑️ Learn how to use key Python Libraries such as NumPy for scientific computing, Pandas for Data Analysis, Matplotlib for data plotting/visualization, and Seaborn for statistical plots.
  • ☑️ Master SciKit-Learn library to build, train and tune machine learning models using real-world datasets.
  • ☑️ Apply machine and deep learning models to solve real-world problems in the banking and finance sectors such as stock prices prediction, security news sentiment analysis, credit card fraud detection, bank customer segmentation, and loan default prediction.
  • ☑️ Understand the theory and intuition behind several machine learning algorithms for regression tasks (simple/multiple/polynomial), classification and clustering (K-Means).
  • ☑️ Assess the performance of trained machine learning regression models using various KPI (Key Performance indicators) such as Mean Absolute Error, Mean Squared Error, and Root Mean Squared Error intuition, R-Squared intuition, and Adjusted R-Squared.
  • ☑️ Assess the performance of trained machine learning classifiers using various KPIs such as accuracy, precision, recall, and F1-score.
  • ☑️ Understand the underlying theory, intuition and mathematics behind Artificial Neural Networks (ANNs), Recurrent Neural Networks (RNNs) and Long Short Term Memory Networks (LSTM).
  • ☑️ Train ANNs using back propagation and gradient descent algorithms.
  • ☑️ Optimize ANNs hyper parameters such as number of hidden layers and neurons to enhance network performance.
  • ☑️ Master feature engineering and data cleaning strategies for machine learning and data science applications.

Requirements

  • ☑️ No prior experience required.

Who is the target audience?

  • ☑️ Who this course is for:Financial analysts who want to harness the power of Data science and AI to optimize business processes, maximize revenue, reduce costs.Python programmer beginners and data scientists wanting to gain a fundamental understanding of Python and Data Science applications in Finance/Banking sectors.Investment bankers and financial analysts wanting to advance their careers, build their data science portfolio, and gain real-world practical experience.There is no prior experience required, Even if you have never used python or any programming language before, don’t worry! You will have a clear video explanation for each of the topics we will be covering. We will start from the basics and gradually build up your knowledge.
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Python & Machine Learning for Financial Analysis| Programming Buddy Club | Discount Udemy Course Python & Machine Learning for Financial Analysis| Programming Buddy Club | Discount Udemy Course Reviewed by Course Girl @ Programming Buddy Club on 4:19 PM Rating: 5

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