Machine Learning and NLP Basics
Completed by MAGALLANES KAREN
February 27, 2025
19 hours (approximately)
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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: Artificial Neural Networks
- Category: Classification Algorithms
- Category: Supervised Learning
- Category: Applied Machine Learning
- Category: Machine Learning Algorithms
- Category: Recurrent Neural Networks (RNNs)
- Category: Text Mining
- Category: Model Optimization
- Category: Data Science
- Category: Data Preprocessing
- Category: Predictive Modeling
