Introducing...

## The Wall Street OasisAPPLIED MACHINE LEARNING

140+ Lessons, 40 Exercises, 3+ hours of video lessons

To Help you Thrive in the Most Prestigious Jobs on Wall Street...

## HERE’S JUST SOME OF WHAT YOU’LL GET IN THIS COURSE

Data Cleaning & Exploration (34 lessons)

This module uses video lessons and 12 exercises to practice exporting and filtering through data using Jupyter Notebook. We will also practice manipulating information by replacing and combining, identifying outliers, and display the data with graphs.

Regression Algorithms (4 lessons)

This module uses 4 video lessons to delve deep into regression algorithms, hitting on real relationships, overfitting, and regularization. We will also discuss non-linear relationships and how to model them using decision trees. We then discuss using various ensemble methods.

Liquidity Regressor (41 lessons)

This module uses video lessons and 11 exercises to go over how to split data into training and testing sets, construct model pipelines, perform hyperparameter tuning, and cross-validate alternative models to find the top performer. Additionally, we will go over how to evaluate models and visualize predictions.

Classification Algorithms (3 lessons)

This module contains 3 video lessons to demonstrate how some learning algorithms are used to solve classification problems. By the end of this module, you will be familiar with Characteristics of Binary Classification Problems, Regularized Logistic Regression Models, and Decision Tree Ensemble Classification Models.

Investor Classifier I (30 lessons)

This module uses video lessons and 9 exercises to walk through a business case study. We will perform more advanced data exploration and visualization and engineer features based on conditional relationships between existing features.

Investor Classifier II (31 lessons)

This module uses video lessons and 8 exercises to continue the business case study from the previous module. We will go over how to use stratified random sampling, the confusion matrix and its advantages over R^2, and go into detail over AUROC. After this module, you would have built a machine learning classifier from start to finish.

WSO Applied Machine Learning Course - Video Previews

Exercise Solution: Add and Combine Classes

Exercise Solution: Model Evaluation

Cross Validation

Below you will find a list of the modules and lessons included in this course.

###### Our students have landed and thrived at positions across all top Wall Street firms, including:

Get the Applied Machine Learning Course Certification

After completing the course, all students will be granted the WSO Applied Machine Learning Course Certification.   Use this certificate as a signal to employers that you have the skills the changing finance world requires.

Demonstrate that you have put in the work outside of university courses to make yourself more efficient and master critical technology skills for success in finance careers.  Easily share to LinkedIn and other social media sites to highlight your skills and strengthen your profile as a candidate.

How Much is Your
Finance Care
er Worth?

What You Get

Value

WSO Applied Machine Learning Course

140+ video lessons across 6 Modules taught by a top-bucket bulge bracket investment banker...

\$500

40 Interactive Exercises with Benchmarks

Gain realistic practice drilling the concepts taught in the course so that you can apply them to the real world.

\$450

24 Months of Unlimited Elite Support from Actual Finance Pros

Have a technical question? Easily drop a comment into any lesson and get a response from a pro within 48hrs.

\$300

TOTAL VALUE

\$1250

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