Machine Learning and NLP Basics
Completed by Sreelekshmi Unnikrishnan
April 14, 2026
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: Machine Learning Algorithms
- Category: Convolutional Neural Networks
- Category: Natural Language Processing
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Recurrent Neural Networks (RNNs)
- Category: Artificial Neural Networks
- Category: Text Mining
- Category: Data Science
- Category: Data Preprocessing
- Category: Model Optimization
- Category: Classification Algorithms
