Machine Learning and NLP Basics
Completed by Di Wang
August 15, 2025
19 hours (approximately)
Di Wang's account is verified. Coursera certifies their successful completion of Machine Learning and NLP Basics
What you will learn
Understand machine learning basics, applying supervised, unsupervised, and reinforcement learning for predictive modeling.
Develop deep neural networks, using CNNs and RNNs with LSTM for image classification and sequence prediction tasks.
Use NLP techniques, such as tokenization, stemming, and text classification with bag-of-words and naive Bayes methods.
Engage in hands-on projects, applying ML and NLP concepts to real-world scenarios for practical experience.
Skills you will gain
- Category: Classification Algorithms
- Category: Supervised Learning
- Category: Data Preprocessing
- Category: Recurrent Neural Networks (RNNs)
- Category: Artificial Neural Networks
- Category: Machine Learning Algorithms
- Category: Model Optimization
- Category: Predictive Modeling
- Category: Deep Learning
- Category: Data Science
- Category: Artificial Intelligence
- Category: Text Mining
