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    Home » Financial Engineering and Artificial Intelligence in Python Free
    Data Science

    Financial Engineering and Artificial Intelligence in Python Free

    JOATBy JOATJanuary 14, 2024No Comments3 Mins Read
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    Financial Engineering and Artificial Intelligence in Python Free Download
    Financial Engineering and Artificial Intelligence in Python Free Download
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    Financial Engineering and Artificial Intelligence in Python Free Download.

    Requirements:

    • Decent Python coding skills.
    • Familiarity with Numpy, Matplotlib, Pandas, and Scipy (covered in the course).
    • Understanding of matrix arithmetic and probability.

    Description: Combine the power of machine learning and artificial intelligence with financial engineering in this comprehensive course. Gain essential knowledge in financial engineering while incorporating machine learning techniques.

    Key Topics Covered:

    1. Exploratory data analysis, significance testing, correlations, alpha and beta.
    2. Time series analysis, moving averages, exponentially-weighted moving averages.
    3. Holt-Winters exponential smoothing model, ARIMA, SARIMA.
    4. Efficient Market Hypothesis, Random Walk Hypothesis, time series forecasting.
    5. Modern portfolio theory, Efficient frontier, Mean-variance optimization.
    6. Maximizing the Sharpe ratio, Convex optimization with Linear Programming and Quadratic Programming.
    7. Capital Asset Pricing Model (CAPM), algorithmic trading (VIP only), statistical factor models (VIP only), and regime detection with Hidden Markov Models (VIP only).

    Financial Engineering and Artificial Intelligence in Python Free Download

    Machine Learning and AI Techniques:

    • Regression models, Classification models.
    • Unsupervised learning, Reinforcement learning, Q-learning.

    VIP-Only Sections:

    • Algorithmic trading strategies (trend-following, machine learning, Q-learning).
    • Statistical factor models.
    • Regime detection, modeling volatility clustering with HMMs.

    Learn from an instructor with expertise in machine learning, deep learning, data science, and artificial intelligence. The course is suitable for students, professionals, and anyone passionate about finance or artificial intelligence.

    Suggested Prerequisites:

    • Matrix arithmetic.
    • Probability.
    • Decent Python coding skills.
    • Familiarity with Numpy, Matplotlib, Scipy, and Pandas.

    This course provides a unique learning experience, ensuring every line of code is explained in detail. No wasted time on typing, and university-level math is embraced to provide a thorough understanding of algorithms.

    Enroll now to embark on the journey of financial engineering with a machine learning twist!

    Who this course is for:

    • Individuals passionate about financial engineering, artificial intelligence, and machine learning.
    • Students and professionals seeking career advancement in finance, artificial intelligence, and machine learning.

    View course

    DOWNLOAD [ SOON ]
    Download Password:  JOAT

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    Welcome to DaFreeZone, where our core belief revolves around unrestricted access to education and knowledge for all. Firstly, here a vast repository of courses, lectures, and resources awaits, all available without any cost. Finally, Join us on this journey, where curiosity meets accessibility, and education becomes an empowering force for everyone. Financial Engineering and Artificial Intelligence in Python Free Download

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