Machine Learning and NLP Basics
Completed by Guillermo González Arroyave
April 21, 2025
19 hours (approximately)
Guillermo González Arroyave'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: Applied Machine Learning
- Category: Machine Learning Algorithms
- Category: Machine Learning Methods
- Category: Recurrent Neural Networks (RNNs)
- Category: Artificial Neural Networks
- Category: Data Preprocessing
- Category: Predictive Modeling
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Supervised Learning
- Category: Convolutional Neural Networks
- Category: Natural Language Processing
