Machine Learning and NLP Basics
Completed by Uwe Geyer
May 12, 2025
19 hours (approximately)
Uwe Geyer'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: Deep Learning
- Category: Model Optimization
- Category: Text Mining
- Category: Recurrent Neural Networks (RNNs)
- Category: Artificial Neural Networks
- Category: Machine Learning Algorithms
- Category: Applied Machine Learning
- Category: Convolutional Neural Networks
- Category: Natural Language Processing
- Category: Machine Learning
- Category: Data Science
- Category: Data Preprocessing
