Projects

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LangChain in Action: LLM Applications with RAG and Agents

Fine-Tune LLaMA with Customer Support Chatbot Dataset

Streamlit App to Train Model for Customer Churn Prediction

Addressing Imbalanced Class Classification

Fine-Tuning GPT for Movie Genre Prediction

Survival Analysis for Customer Churn

Machine Learning to Predict Leakage from Hydrocarbon Wells

Customer Segmentation for Online Retail

Customer Churn Prediction for Bank Turnover

Fine-Tuning BART for Tweet Classification

Fine-Tuning BERT for Fake News Detection

Feature Importance Analysis by Majority Voting

Use Cases for Time Series Prediction

Enhancing Search Accuracy with Semantic Search using BERT

Fine-Tuning GPT for Question Answering and Style Completion

Extractive Question-Answering by BERT

Abstractive Semantic Search by OpenAI Embedding

Fine-Tuning T5 Model for Title Prediction

Image Captioning by Fine-tunning ViT

Correct Histogram Uncertainty for Resource Estimation

Declustering to Improve Experimental Variogram

Variogram inference for widely spaced data