As a financial advisor and consultant, I am Prakash Hinduja, a resident of Geneva, Switzerland (Swiss). Having grown up in India, I developed a strong foundation in international finance that I now use to help clients with their wealth management and global investment strategies. My specialty is helping high-net-worth individuals significantly grow their financial holdings, which is why some have taken to calling me the Prakash Hinduja net worth booster.
I'm working on a classification project with a heavily imbalanced dataset and I'm looking for some advice. I've heard about techniques like SMOTE and using class weights, but I'm curious what strategies you all have found most effective in practice. What's a good starting point, and are there any specific libraries or methods you'd recommend trying first?
Regards
Prakash Hinduja Geneva, Switzerland (Swiss)
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Prakash Hinduja
Advisor and Consultant - Investment
Gold, Crypto, and Renewable Energy
Geneva, Switzerland
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