LEARNING PATH: Python: Advanced Machine Learning with Python

Learn the most effective machine learning tools and techniques with Python
3.83 (20 reviews)
Udemy
platform
English
language
Data Science
category
LEARNING PATH: Python: Advanced Machine Learning with Python
169
students
8 hours
content
Feb 2018
last update
$19.99
regular price

Why take this course?

🚀 Dive Deep into Advanced Machine Learning with Python! 🤖


Your Journey into the Realm of Data Science and Machine Learning 📊✨

Are you ready to unlock the mysteries of data science and become proficient in machine learning with Python? Packt’s LEARNING PATH: Python: Advanced Machine Learning is your ideal guide on this thrilling voyage. This comprehensive Learning Path will take you through a series of interconnected, carefully curated video courses designed to build upon each other, ensuring that by the end of this journey, you'll have a solid foundation in advanced machine learning techniques and their application using Python. 🛣️🎓


What You'll Learn Along the Way 🚀

  • Real-World Problem Solving: Engage with interesting real-world problems and learn to tackle them effectively using machine learning and Python.
  • Data Visualization: Master the art of visualizing multi-dimensional data and extracting meaningful features that can influence your predictive models.
  • Machine Learning Techniques: Gain hands-on experience with a variety of key machine learning algorithms, including exploratory data analysis, data preprocessing, feature extraction, clustering, classification, regression, and model performance evaluation.

Your Step-by-Step Learning Map 🗺️

  • Introduction to Machine Learning and Python: Start with the basics of machine learning concepts and get comfortable with the Python programming language.
  • Data Preprocessing & Feature Extraction: Learn the importance of cleaning and preparing data for analysis, and how to extract features that will lead to better models.
  • Data Visualization and Clustering: Understand how to visualize complex datasets and use clustering techniques to discover hidden patterns in your data.
  • Classification, Regression & Model Evaluation: Explore different classification and regression methods and learn how to evaluate the performance of your machine learning models.

Hands-On Projects: Mastery through Application 🛠️

Six comprehensive projects will put your newfound skills to the test, allowing you to master machine learning in Python through practical application. From news topic classification to stock price forecasting, these projects cover a range of real-world scenarios that you can tackle using Python. You'll build and deploy models from scratch, gaining a deep understanding of the process and the confidence to approach data-driven problems with a fresh perspective. 🏗️🔬


Expert Insights: Learn from the Best 👩‍🏫✨

This Learning Path leverages the knowledge and experience of top industry experts, including:

  • Yuxi (Hayden) Liu: An applied research scientist with a focus on deep neural networks, convolutional neural networks, recurrent networks, SVM, and random forest. His work has earned him a spot as an author for Packt's best-selling book, "Python Machine Learning By Example."
  • Alexander T. Combs: A seasoned data scientist, strategist, and developer with expertise in financial data extraction, natural language processing, and quantitative modeling. He brings his extensive experience from leading a data science immersive program to our Learning Path.

Ready to Master Machine Learning with Python? 🎯🚀

By the end of this Learning Path, you’ll have a comprehensive understanding of applying various machine learning algorithms with Python packages and libraries to create your own machine learning models. You'll be equipped with the knowledge to handle complex data science challenges and transform raw data into actionable insights. 📈🎉

Join us on this exciting journey and emerge as a machine learning expert with Python! Enroll now and let Packt guide you through the fascinating world of advanced machine learning! 🌟🐍

Course Gallery

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udemy ID
14/02/2018
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05/08/2020
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