Fine-tuning GPT
Illustrate the process of fine-tuning the GPT using the Ada model, showcasing the specific steps and techniques employed to adapt the model to a particular task.
Supervised Machine Learning Application
Analysis invovles Data Preprocessing, Data Cleaning, Feature Engineering, Modelling and hyper-parameter tunning and Insights
EDA run with python, matplotlib, wordcloud
Performed data cleaning, visualization and analysis
Sales Dashboard created with Tableau and Analysis & Insights included