You can find tutorials on advanced model building techniques in various online platforms and resources. Here are some places where you can access these tutorials:
Online Courses
Many websites offer online courses specifically focused on advanced model building techniques. These courses are usually created by experts in the field and provide detailed, step-by-step instructions on how to improve your model building skills. Some popular online learning platforms where you can find such courses include:
- Coursera
- Udemy
- edX
- DataCamp
YouTube Channels
YouTube is a great resource for visual learners who prefer watching tutorials over reading lengthy texts. There are several YouTube channels dedicated to model building techniques, and you can find a wealth of information on advanced techniques through video tutorials. Some popular YouTube channels that offer tutorials on advanced model building techniques include:
- StatQuest with Josh Starmer
- Ken Jee
- Data School
- CodeEmporium
Online Communities
Online communities such as forums, subreddits, and social media groups can be great places to connect with other model builders and learn from their experiences. These communities often share tutorials, tips, and tricks for advanced model building techniques. Some popular online communities for model builders include:
- Kaggle
- Stack Overflow
- Reddit’s r/MachineLearning
- LinkedIn groups focused on data science and machine learning
Blogs and Websites
Many blogs and websites are dedicated to data science, machine learning, and model building. These platforms often publish tutorials, guides, and case studies on advanced model building techniques. Some popular blogs and websites where you can find tutorials on advanced model building techniques include:
- Towards Data Science
- KDNuggets
- Analytics Vidhya
- Data Science Central
Books
Books are a valuable resource for in-depth learning and understanding of advanced model building techniques. There are several books written by experts in the field that provide comprehensive guidance on various aspects of model building. Some recommended books on advanced model building techniques include:
- “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” by Aurélien Géron
- “Applied Predictive Modeling” by Max Kuhn and Kjell Johnson
- “Feature Engineering for Machine Learning” by Alice Zheng and Amanda Casari
- “Python Machine Learning” by Sebastian Raschka and Vahid Mirjalili
University Courses and Workshops
Many universities and educational institutions offer courses and workshops on advanced model building techniques as part of their data science or machine learning programs. These courses are taught by experienced professors and industry professionals and provide hands-on training in advanced model building. Some universities also offer online courses that you can enroll in remotely. Check with universities in your area or online for available courses.