- Default Decision Tree
- Pre-Pruned Decision Tree
- Post Pruned decision tree using Cost complexity pruning
- Decision Tree Classifier
- Bagging Classifier
- Random Forests
- Boosting algorithms, Adaboost, GradientBoost, XGBoost
- Data Augmentation with OverSampled datasets, Undersampled datasets
- Neural Network models with Tensorflow
- Optimized NNs with SGD with Momentum, Adam, Batch Normalization, Dropout
Project 5: Plant Seedlings classification with Convolution Neural Network models for Computer Vision
- Traditional ANN
- Data Augmentation for ANN
- Transfer Learning models with VGG16, ImageNet, Resnet
Project 6: NLP Stock Market News Sentiment Analysis and Text Summarization using Transformers and LLMs
- Word Embeddings using Word2Vec, glove
- Semantic Search
- Sentiment Analysis
- Text Summarization using LLM