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Lessons List | 218 Lesson

Introduction

Three parts to the course

Three parts to the course

Textbooks

Prerequisites

Introduction

The Data

Our Stock Data

Pandas Dataframe

Pandas Dataframe

Actual CSV

Interesting Stuff

Interesting Stuff

Compute max closing price

Compute max closing price

Plotting stock price data

Plotting stock price data

Plot two columns

Plot two columns

Working with multiple stocks

Working with multiple stocks

Pandas dataframe recap

Pandas dataframe recap

Problems to Solve

Problems to Solve

How We re Going to do it

How We re Going to do it

Joining SPY

Create an exmpty data frame

Create an exmpty data frame

Join SPY data

Read in more stocks

Read in more stocks

Slicing

More slicing

Problems with Plotting

Problems with Plotting

Plotting multiple stocks

Plotting multiple stocks

Normalizing

What is NumPy

Relationship to Pandas

Relationship to Pandas

Notes on Notation

Notes on Notation

Creating NumPy arrays

Creating NumPy arrays

Arrays with initial values

Arrays with initial values

Generating random numbers

Generating random numbers

Array attributes

Array attributes

Operations on ndarrays

Operations on ndarrays

Timing python operations

Timing python operations

How fast is NumPy

How fast is NumPy

Accessing array elements

Accessing array elements

Modifying array elements

Modifying array elements

Indexing an array with another array

Indexing an array with another array

Boolean or mask index arrays

Boolean or mask index arrays

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Course Description

Machine learning empowers traders to accelerate and automate one of the most complex, time-consuming, and challenging aspects of algorithmic trading, providing a competitive advantage beyond rules-based trading.

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