Machine Learning and NLP Basics
Completed by Charvhi L.Ramesh
July 17, 2024
19 hours (approximately)
Charvhi L.Ramesh'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: Machine Learning Methods
- Category: Machine Learning Algorithms
- Category: Applied Machine Learning
- Category: Recurrent Neural Networks (RNNs)
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Artificial Intelligence
- Category: Model Training
- Category: Tensorflow
- Category: Classification Algorithms
- Category: Supervised Learning
- Category: Predictive Modeling
