I am currently doing a project on data science in Python, wherein I am working with telecom datasets like appography and usage data of users. For my project, data pre-processing techniques like data cleaning, feature engineering, etc., are used.
In addition to these, I have created machine learning models such as Logistic Regression, Random Forests, XG Boost, Light GBM models, and SBERT Embeddings to make a classification algorithm. I have also worked with textual data through transformers.
I require assistance in optimizing Python code and making the models better perform as well as managing big datasets.
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