Скачать или смотреть Introduction to Deep Learning: Predict IPO Market Returns with TensorFlow

In this hands-on Project Lab, you'll step into the role of a data scientist at an investment firm analyzing the Indian IPO market. With guidance from the Dataquest’s Director of Curriculum, Anna Strahl, you’ll build a deep learning classification model using TensorFlow to predict IPO listing gains, a high-impact task with direct real-world applications.

This project is ideal for learners looking to deepen their deep learning knowledge and apply it to financial datasets. You’ll go through the full machine learning pipeline: from exploring a real IPO dataset to preprocessing, building, training, and evaluating your modelall inside a Jupyter notebook.

What You'll Learn:
How to explore and visualize real-world IPO data
How to identify and treat outliers in financial datasets
How to build and train a deep learning model using TensorFlow and Keras
How to evaluate model performance for classification tasks
How to apply machine learning to guide investment decisions

Recommended Prerequisites:
Python Basics for Data Analysis → https://www.dataquest.io/course/intro...

Access the Project: https://www.dataquest.io/projects/gui...

Video Chapters:
00:00:00 - Intro
00:06:06 - Project Brief
00:07:27 - Loading and Inspecting the Data
00:09:52 - Exploratory Data Analysis (EDA)
00:24:28 - Building the Model
00:30:16 - Evaluating Model Performance
00:33:28 - Analyzing and Interpreting Residuals
00:39:43 - Refining the Model
00:49:26 - Audience Q&A

#MachineLearning #pythonprojects #DeepLearning #Python #DataScience #tensorflow