Description

Machine learning has revolutionized the way we decipher data, paving the way for transformative implementations across industries. This immersive course offers a curated compilation of projects designed to provide a hands-on understanding of machine learning paradigms. Through six distinct projects, you'll navigate the vast landscape of Python's machine learning frameworks, delving into areas such as classification, regression, clustering, and more. By the culmination of this course, you'll not only have the theoretical knowledge but the practical expertise to craft, fine-tune, and deploy your very own machine learning models.

Key Learning Outcomes:

  • Delve into Python's vast machine learning toolkit.
  • Master model evaluation, ensuring optimal problem-solving efficacy.
  • Dive deep into Natural Language Processing (NLP) and its real-world applications.
  • Harness the power of data visualization to tell compelling stories.
  • Seamlessly deploy machine learning models using versatile APIs.
  • Elevate your datasets through nuanced feature engineering.

Course curriculum

    1. Lecture 1 Welcome

    2. Lecture 2 Sourcing Airfare Pricing Data

    3. Lecture 3 Retrieving the Fare Data with Advanced Web Scraping Techniques

    4. Lecture 4 Parsing the DOM to Extract Pricing Data

    5. Lecture 5 Sending Real-Time Alerts Using IFTTT

    6. Lecture 6 Putting It All Together

    1. Lecture 7 The IPO Market

    2. Lecture 8 Feature Engineering

    3. Lecture 9 Binary Classification

    4. Lecture 10 Feature Importance

    1. Lecture 11 Creating a Supervised Training Set with the Pocket App

    2. Lecture 12 Using the embed.ly API to Download Story Bodies

    3. Lecture 13 Natural Language Processing Basics

    4. Lecture 14 Support Vector Machines

    5. Lecture 15 IFTTT Integration with Feeds, Google Sheets, and E-mail

    6. Lecture 16 Setting Up Your Daily Personal Newsletter

    1. Lecture 17 What Does Research Tell Us about the Stock Market

    2. Lecture 18 Developing a Trading Strategy

    3. Lecture 19 Building a Model and Evaluating Its Performance

    4. Lecture 20 Modeling with Dynamic Time Warping

    1. Lecture 21 Machine Learning on Images

    2. Lecture 22 Working with Images

    3. Lecture 23 Finding Similar Images

    4. Lecture 24 Building an Image Similarity Engine

    1. Lecture 25 The Design of Chatbots

    2. Lecture 26 Building a Chatbot

About this course

  • $19.99
  • 27 lessons
  • 3 hours of video content

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FAQs

  • What prior knowledge do I need before enrolling in this course?

    While having a basic understanding of Python and data concepts can be beneficial, the course is structured to be accessible to both beginners and those with some prior experience.

  • Are there any hands-on projects included?

    Absolutely! The course revolves around six distinct real-world projects, ensuring practical learning and application.

  • Is there any post-course support or community I can join?

    Yes, all enrolled students gain access to our dedicated community forum where you can discuss topics, share projects, and collaborate with peers.