OpenAI/GPT3, Random Forest Classification, SVM, Fast Clustering
- Loading, exploring and manipulating datasets: pandas, numpy, random, google.colab
- Error Handling for API calling and importing API keys from envirnoment: retry, time, os
- Using gpt3 completions, embeddings and generating multiclass precion-recall: openai
- For tokeizing text to perform validation for GPT3: transformers
- ML models for classifiers, dimensionality reduction, model analysis: sklearn
- For fast clustering and embeddings: sentence_transformers, torch
- Visualisation: matplotlib
- Model exports & imports: import pickle
- for removing warnings: import warnings