Machine Learning and NLP Basics
Completed by LETICIA SIMO
February 14, 2025
19 hours (approximately)
LETICIA SIMO'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: Model Training
- Category: Model Evaluation
- Category: Artificial Intelligence
- Category: Machine Learning Methods
- Category: Recurrent Neural Networks (RNNs)
- Category: Supervised Learning
- Category: Machine Learning Algorithms
- Category: Data Preprocessing
- Category: Deep Learning
- Category: Applied Machine Learning
- Category: Natural Language Processing
- Category: Predictive Modeling
