Enroll Course: https://www.coursera.org/learn/machine-learning-capstone
If you’re looking to build practical, real-world machine learning skills, especially in the realm of recommendation systems, Coursera’s ‘Machine Learning Capstone’ is an exceptional choice. This course doesn’t just introduce concepts; it immerses you in hands-on projects using powerful Python libraries like Pandas, scikit-learn, and TensorFlow/Keras.
The capstone kicks off with a solid introduction to recommender systems, setting the stage for the practical labs that follow. You’ll get acquainted with IBM Watson Studio, a valuable platform for data science projects.
Module 2 focuses on Exploratory Data Analysis (EDA) and Feature Engineering. You’ll learn to extract insights from course datasets, calculate cosine similarity, and engineer features using the ‘bag of words’ model from course titles and descriptions. This foundational understanding is crucial for building effective recommenders.
The subsequent modules dive deep into building various recommendation systems. You’ll explore unsupervised learning techniques, including clustering with K-means and PCA, and collaborative filtering methods like KNN and non-negative matrix factorization. The course then transitions to supervised learning, where you’ll use neural networks to predict course ratings and classify user behavior (audit vs. complete) based on extracted features and embeddings.
What truly sets this capstone apart is its emphasis on showcasing your work. The final modules guide you through building a Streamlit application to present your recommender systems, along with best practices for reports and presentations. The peer review process for the final submission adds another layer of learning and validation.
Overall, the ‘Machine Learning Capstone’ is a comprehensive and highly practical course. It’s perfect for anyone who wants to go beyond theoretical knowledge and build tangible machine learning projects. The skills acquired here are directly applicable to many industry roles. I highly recommend it for intermediate to advanced learners looking to solidify their understanding of recommender systems.
Enroll Course: https://www.coursera.org/learn/machine-learning-capstone