Machine Learning and NLP Basics
Completed by Joyce Khoo
February 7, 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: Model Training
- Category: Tensorflow
- Category: Machine Learning Methods
- Category: Natural Language Processing
- Category: Classification Algorithms
- Category: Supervised Learning
- Category: Deep Learning
- Category: Artificial Intelligence
- Category: Text Mining
- Category: Recurrent Neural Networks (RNNs)
- Category: Model Optimization
- Category: Data Preprocessing
