Machine Learning and NLP Basics
Completed by BAKHTIYOR PARDABOEV
September 16, 2025
19 hours (approximately)
BAKHTIYOR PARDABOEV'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: Data Preprocessing
- Category: Artificial Neural Networks
- Category: Data Processing
- Category: Data Science
- Category: Supervised Learning
- Category: Recurrent Neural Networks (RNNs)
- Category: Machine Learning Algorithms
- Category: Text Mining
- Category: Machine Learning Methods
- Category: Model Training
- Category: Natural Language Processing
- Category: Deep Learning
