Python Coursera Machine Learning

Machine Learning Real World Applications. Master techniques for implementing a machine learning project.

This Specialization is for finance professionals, including but not limited to hedge fund traders, analysts, day traders, those involved in investment management or portfolio management, and anyone interested in gaining greater knowledge of how to construct effective trading strategies using Machine Learning. Alternatively, this specialization can be for machine learning professionals who seek to apply their craft to quantitative trading strategies.

This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial.

Start Your Career in Machine Learning for Trading. Learn the machine learning techniques used in quantitative trading

Mathematics for Machine Learning. Learn about the prerequisite mathematics for applications in data science and machine learning.

Master the Concepts of Reinforcement Learning. Implement a complete RL solution and understand how to apply AI tools to solve real-world problems.

Reinforce Your Career: Machine Learning in Finance. Extend your expertise of algorithms and tools needed to predict financial markets.

Deep Learning Specialization. Master Deep Learning, and Break into AI

This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit.

Achieve Python mastery, beginning with the fundamentals and culminating in crafting your own applications and games.100%