- Supervised Learning
- Data Science
- Data Processing
- Tensorflow
- Natural Language Processing
- Machine Learning
- Reinforcement Learning
- Computer Vision
- Artificial Intelligence
- Predictive Modeling
- Deep Learning
- Text Mining
Machine Learning and NLP Basics
Completed by Shiv Kumar
July 2, 2024
19 hours (approximately)
Shiv Kumar'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
