Professional Certificate in ML-Powered Customer Feedback Systems
-- ViewingNowThe Professional Certificate in ML-Powered Customer Feedback Systems is a comprehensive course that is both timely and essential for professionals in today's data-driven business landscape. This certificate course focuses on teaching learners how to leverage machine learning to analyze customer feedback, enabling organizations to make data-informed decisions and drive business growth.
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⢠Introduction to Machine Learning – Understanding the basics of machine learning, its applications, and the different types of machine learning algorithms.
⢠Data Preprocessing – Cleaning, transforming, and preparing data for machine learning models.
⢠Natural Language Processing (NLP) – Learning about NLP techniques, including text processing, tokenization, and stemming, to analyze customer feedback.
⢠Sentiment Analysis – Identifying and categorizing customer opinions to extract actionable insights.
⢠Supervised Learning – Building regression and classification models to predict customer feedback based on historical data.
⢠Unsupervised Learning – Applying clustering algorithms to discover hidden patterns in customer feedback.
⢠Deep Learning – Exploring deep learning techniques, such as neural networks, for processing large-scale customer feedback.
⢠Evaluation and Optimization – Measuring and optimizing model performance using evaluation metrics and hyperparameter tuning.
⢠Deployment and Monitoring – Deploying ML-powered customer feedback systems to production and monitoring their performance in real-world scenarios.
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