Machine Learning Package
Introducing...
230+ detailed video lessons, 10+ modules, 60+ exercises across 2 jam-packed courses taught by elite practitioners
To Help you Thrive in One of the Most Future Proof Careers on Wall Street...
HERE’S JUST SOME OF WHAT YOU’LL GET IN THIS PACKAGE
Machine Learning for Finance - Python Fundamentals (90+ video lessons)
Python is crucial for analyzing big data, and it's the基本的软件e used by data scientists for machine learning. Knowing Excel means you already understand the fundamental concepts of programming. In this course withover 90professional video-lessons, you're going to learn how toapply these concepts to the Python language. Key concepts covered will include how to set-up Anaconda and Jupyter Notebooks for Python, Python Native Data Types, input/output formatting, how to build custom functions, for loops and conditional logic, using the Numpy and Pandas Package.
Applied Machine Learning Algorithms - Advanced (140+ video lessons)
In this course, we take you from a beginner to an absolute pro in Applied Machine Learning Algorithms withover 140 video lessonsto help make sure youcan build on your foundation with more advanced concepts. Learning to navigate and leverage the power of Machine Learning to its fullest potential is a foundational skill in the ever-changing field of finance. The skillsets of investment bankers, asset managers, sales and trading professionals are all rapidly evolving. Developing a skillset in machine learning is essential if you want to progress.
Machine Learning for Finance Course - Table of Contents
Below you will find a list of the modules and lessons included in this course.
- Course Introduction
- Download Anaconda
- Introducing Jupyter Notebook
- Calculations
- Mathematical operators
- Text Outputs
- Dynamic Outputs
- Variables
- Reviews
- 3 Exercises with Solutions
- Python Object Types
- Lists
- Accessing List Objects
- Changing List Objects
- More List Functions
- Tuples
- Sets
- Using Sets to Remove Duplicates
- Set Operations
- Dictionaries
- Accessing Dictionary Items
- Dictionary Functions
- Review
- 6 Exercises with Solutions
- Creating Custom Functions
- Adding Arguments
- For Loops
- Filling a List with a For Loop
- Conditional Logic
- Review
- 4 Exercises with Solutions
- Importing Libraries
- NumPy
- NumPy Arrays
- Multidimensional Arrays
- Reshape and Transpose
- Selecting Objects
- Array Calculations
- Array Functions
- The Random Module
- Setting a Random Seed
- Random Sampling with .choice()
- Generating Sequences
- Review
- 4 Exercises with Solutions
- Pandas
- Importing Data
- Import from .csv
- Get to Know Your Dataframe
- Summary Statistics
- Series
- Series Functions
- Feature Engineering
- Boolean Masks
- Indicator Variables
- Segmenting with .groupby()
- Review
- 5 Exercises with Solutions
Applied Machine Learning Algorithms Course - Table of Contents
Below you will find a list of the modules and lessons included in this course.
- The ML Process
- Matplotlib and Seaborn
- A Few Quick Notes
- .countplot()
- Replace and Sparse Classes
- Spotting Outliers
- NaN Object
- Dropping Null Values
- Box Plots
- Saving Your Data Frame
- Review
- 12 Exercises with Solutions
- What are regression algorithms
- Real relationships and overfitting
- Regularization
- Decision trees ensemble methods
- Case Study Overview
- Metadata
- Splitting Your Data
- train_test_split()
- Unpacking Lists
- Model Pipelines
- Hyperparameter Tuning
- Aggregating Hyperparameter Grids
- Cross-Validation
- Creating Untrained Models
- Training and Tuning Models
- Model Evaluation
- Visualizing Model Predictions
- Using Your Model
- Review
- Progress Checkpoints
- 11 Exercises with Solutions
- Binary Classification
- Logistic Regression
- Decision Tree Classifiers
- Case Study Overview
- Metadata
- One Error
- Countplot of Investors
- Exploring Relationships
- Reviewing Your Results
- Feature Engineering
- Reviewing tier_change
- Controlling for Demotions
- Analyzing Goldman Sachs
- Implot()
- Review
- 9 Exercises with Solutions
- Import Packages and Data
- Dummy Variables
- Remove Redundant Target
- Splitting Data
- Model Pipelines
- Validating Pipelines
- Hyperparameter Tuning
- Validating Hyperparameter Grids
- Cross-Validations
- Fitting Untrained Models
- AUROC
- Confusion Matrix
- Perfect AUROC
- Calculating AUROC
- Review
- 8 Exercises with Solutions
Our students have landed and thrived at positions across all top Wall Street firms, including:
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Course #1
PYTHON FUNDAMENTALS COURSE
PYTHON FUNDAMENTALS COURSE
90+ Lessons, 20+ Exercises, 3+ hours of video lessons
The world of finance is changing and now is the time to invest. The skillsets of investment bankers, asset managers,sales and tradingprofessionals are all rapidly evolving. Developing a skillset in machine learning is essential if you want to progress.
Course #2
APPLIED MACHINE LEARNING COURSE
APPLIED MACHINE LEARNING COURSE
140+ Lessons, 40 Exercises, 3+ hours of video lessons
Python is crucial for analyzing big data, and it's the foundational software used by data scientists for machine learning. In this course, you're going to learn how to apply these Excel concepts to the Python language. We start by teaching you the basics of Python Programming, which we will use to transition to more advanced topics.
Don’t Take Our Word For It
他ar from a few of our57,000+ students...
他ar from a few of our57,000+ students...
"This course is a fantastic introduction to machine learning applications of finance.It provides you with an excellent road map all the way from python basics to advanced machine learning algorithms. I constantly see new ways to apply what I have learned to projects in the workplace every day. This course focuses on the content that matters, no fluff. It is designed to fit into the schedule of a busy professional or college student and teaches you loads while not consuming massive amounts of time. This course is the most relevant and useful instruction I have ever received.It very well may be the only way to stay relevantin the ever-changing financial services field and will give you a massive leg up over your peer group. "
"[This course] is a rare find because it is tailored for busy finance professionals.As an analyst at a major investment bank, I was able to take several Python and Machine Learning techniques from this course and use them to improve relevant projects."
"Overall, I really like what was put together. What stood out to me a lot was the concision of the course -- every lesson was straightforward, to the point."
"If you are in the finance industry, or even a student aspiring to break in, this course is absolutely essential.It is no secret that coding is the literacy of today, and this course goes above and beyond in equipping you with the coding and machine learning knowledge increasingly demanded in the finance industry. Those who do not adapt will be left behind.This course is one of the most pivotal investments you will make in your professional career.
I was very impressed with the course. As a buy-side investment professional, I can definitely see how this course could be used to not only make oneself more marketable, but to actually improve investment decisions and performance.
An incredible strength of the course is the real-world examples it brings into play.These are not some hypothetical applications of the material that are taken out of a textbook; these are real world, concrete, and ready for application in the student's career.Every piece of information you are given is valuable and ready to be put to use.
[The instructor] has developed an unparalleled platform for furthering the development of even the busiest investment bankers.The course content is carefully curated to maximize retention and effectively bridges the gap between developed financial and data science skillsets.
Get 2 Distinct Course Certifications
After completing each course, all students will be granted a WSO Machine Learning Certification for that specific course. Use these certificates as a signal to employers that you have the technical skills to immediately add value to your team.
Demonstrate that you have put in the work outside of university courses to make yourself more efficient and master the most critical coding skills for success in finance careers. Easily share to LinkedIn and other social media sites to strengthen your profile as a candidate.
How Much is Your
Finance Career Worth?
What You Get |
Value |
|---|---|
WSO Python Fundamentals - Intro to Machine Learning 90+ lessons and 20+ exercises across 6 Modules taught by a top-bucket bulge bracket investment banker... |
$949 |
WSO Applied Machine Learning Course 140+ lessons and 40 exercises across 6 Modules taught by a top-bucket bulge bracket investment banker... |
$949 |
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 |
$2,198 |
Get Unlimited Lifetime Access To The WSO Machine Learning Package For 89% Off
$2,198
$247
...or get access today for only $87 (3 monthly payments)
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100% Unconditional Money-Back Guarantee
12 Month Risk-Free Guarantee
Your investment is protected by our 12-Month Risk-Free Guarantee -- the most generous in the market, BY FAR. If, for any reason, you don't think the WSO Machine Learning Package is right for you, just send us an email, and we'll refund every penny. No questions asked.In short, you get a great return on your investment, or you get your money back.It's that simple. Yes, we are that confident. We know that if you put in the time, this package will dramatically improve your skills.