Classification-Based Machine Learning for Finance – Anthony Ng

Description

Purchase Classification-Based Machine Learning for Finance – Anthony Ng Course at GiOlib. We actively participate in group buys and are committed to sharing knowledge with a wider audience. What's more, our courses maintain the same quality as the original sale page. You have the option to buy directly from the sale page at the full price (sale page link is provided within the post).

Classification-Based Machine Learning for Finance

Hands on guide on using classification based Machine Learning techniques with application in finance and investment

Finally, a comprehensive hands-on machine learning course with specific focus on classification based models for the investment community and passionate investors.

In the past few years, there has been a massive adoption and growth in the use of data science, artificial intelligence and machine learning to find alpha. However, information on and application of machine learning to investment are scarce. This course has been designed to address that. It is meant to spark your creative juices and get you started in this space.

In this course, we are first going to provide some background information to machine learning. To ease you into the machine learning lingo, we start will something that most people are familiar with – Logistic Regression. The assumptions of financial time series as well as the stylized facts are introduced and explained at length due to its importance. The assumptions of linear regression are also highlighted to demonstrate the challenges and danger of blindly applying machine learning to investment without proper care and considerations to the nuances of financial time series.

After covering the basics of classification based machine learning using logistic regression, we then move on to more advanced topics covering other classification machine learning algorithms such as Linear Discriminant Analysis, Quadratic Discriminant Analysis, Stochastic Gradient Descent classifier, Nearest Neighbors, Gaussian Naive Bayes and many more. We follow the foundations that we started in the first regression based machine learning course covering cross-validation, model validation, back test, professional Quant work flow, and much more.

This course not only covers machine learning techniques, it also covers in depth the rationale of investing strategy development.

This course is the second of the Machine Learning for Finance and Algorithmic Trading & Investing Series. The courses in the series includes:

• Regression-Based Machine Learning for Algorithmic Trading
• Classification-Based Machine Learning for Algorithmic Trading
• Ensemble Machine Learning for Algorithmic Trading
• Unsupervised Machine Learning: Hidden Markov for Algorithmic Trading
• Clustering and PCA for Investing

If you are looking for a course on applying machine learning to investing, the Machine Learning for Finance and Algorithmic Trading & Investing Series is for you. With over 30 machine learning techniques test cases, which included popular techniques such as Lasso regression, Ridge regression, SVM, XGBoost, random forest, Hidden Markov Model, common clustering techniques and many more, to get you started with applying Machine Learning to investing quickly.

Get Classification-Based Machine Learning for Finance – Anthony Ng, Only Price $37

Course Curriculum

Introduction

• Introduction (3:07)
• Feedback (4:26)
• Obtaining the Course Resources (3:28)
• How to Succeed In This Course (6:03)

Introduction To Machine Learning For Algorithmic Trading

• Brief Introduction to Machine Learning (5:38)
• Machine Learning Project Check List Part 1 (12:43)
• Machine Learning Project Check List Part 2 (10:00)
• Model Selection and Quant Workflow (8:24)
• Financial Time Series Characteristics (5:58)

Logistic Regression

• Understanding Logistic Regression (11:16)
• Logistic Regression and Scikit Learn (13:55)

Classification – A Walk Through Tutorial

• Understanding Classification ML and Data Exploration (9:12)
• Building a Simple Classifier and Performing Cross Validation (15:23)
• Confusion Matrix (15:51)
• Precision/Recall Tradeoff (14:25)
• The Receiver Operating Characteristics (ROC) Curve (8:49)

Default Prediction

• Template (10:27)
• Default prediction with LDA, KNN and Random Forest (12:10)

Predicting Next Day's Returns

• Background to Returns Prediction (9:14)
• Predicting Next Day's Returns Using Logistic Regression (10:01)
• Predicting Next Day's Returns Using LDA and QDA (7:33)
• Price Prediction Using Real Market Data from Quantopian (7:10)
• Back Test and Tear Sheet (16:03)

Ideas

• Ideas (18:29)

Global Stock Selection Strategy

• Introduction to Alpha Factors (8:32)
• Global Stock Selection Strategy (7:13)

Bonus Section

• Bonus Lecture (1:46)

Get Classification-Based Machine Learning for Finance – Anthony Ng, Only Price $37

---

Tag: Classification-Based Machine Learning for Finance – Anthony Ng Review. Classification-Based Machine Learning for Finance – Anthony Ng download. Classification-Based Machine Learning for Finance – Anthony Ng discount.

---

Purchase the Classification-Based Machine Learning for Finance – Anthony Ng course at the best price at GiOlib. Upon completing your purchase, you will gain access to the downloads page. where you can conveniently retrieve all associated course files. Additionally, we will send you a download notification email to your registered mail.

Unlock your full potential with our Classification-Based Machine Learning for Finance – Anthony Ng courses. Our courses are meticulously designed to empower you with the skills and knowledge needed for excellence.

Why wait? Take the first step towards greatness by acquiring our Classification-Based Machine Learning for Finance – Anthony Ng courses today. We ensure a smooth and secure purchasing experience that guarantees your peace of mind. Rest assured that your financial information is safeguarded through our trusted payment gateways, Stripe and PayPal.

Stripe, renowned for its robust security measures, offers a secure and dependable payment process. Your sensitive data is encrypted using state-of-the-art technology, ensuring its confidentiality throughout the transaction.

PayPal, a globally recognized payment platform, adds an extra layer of security. With its buyer protection program, you can make your purchase with confidence, knowing that your financial details are protected, allowing you to focus on your learning journey.

Is it secure? to Use of?

• Rest assured, your identity remains completely confidential. We do not share your information with anyone, ensuring the utmost security when you buy the Classification-Based Machine Learning for Finance – Anthony Ng course.
• 100% Safe Checkout Privateness coverage
• We employ robust communication and encryption methods to protect sensitive information. All card numbers are encrypted using AES at rest-256, and the transmission of card numbers occurs in a separate hosting environment, without sharing or storing any data.

How Will the Course Be Delivered?

• Upon successful payment for the “Classification-Based Machine Learning for Finance – Anthony Ng course”, Most of the products will come to you immediately. But for some products were posted for offer. Please wait for our response, it might take a few hours due to the time zone difference.
• If this occurs, kindly be patient. Our technical department will process the link shortly, and you will receive notifications directly via email. Your patience is greatly appreciated.

What Shipping Methods Are Available?

• You will receive a download link in the invoice or in YOUR ACCOUNT.
• The course link is always accessible. Simply log in to your account to download the Classification-Based Machine Learning for Finance – Anthony Ng course whenever you need.
• You can study online or download the content for better results, making it accessible from any device. Ensure your system does not go to sleep during the download process..

How Do I Track Order?

• We promptly update the status of your order following your payment. If, after 7 days, there is no download link provided, the system will automatically process a refund..
• We love to hear from you. Please don’t hesitate to email us with any comments, questions and suggestions.