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  • 👋 Hi, I’m Vedavyas Burli
  • 👀 I’m interested in RPA + Python + Machine Learning + Neural network
  • 🌱 I’m currently learning - ChatBot_Sharepoint implementation + Advanced regression + kNN
  • 💞️ I’m looking to collaborate on ML + CICD + Flask + Django project
  • 📫 How to reach me https://www.linkedin.com/in/vedavyas-burli0507/

vedavyas's Projects

eda-investment-assignment icon eda-investment-assignment

Business and Data Understanding Spark Funds has two minor constraints for investments: It wants to invest between 5 to 15 million USD per round of investment It wants to invest only in English-speaking countries because of the ease of communication with the companies it would invest in For your analysis, consider a country to be English speaking only if English is one of the official languages in that country You may use this list: Click here for a list of countries where English is an official language. These conditions will give you sufficient information for your initial analysis. Before getting to specific questions, let’s understand the problem and the data first.

golang icon golang

A series on golang - Code files

lendingclub-casestudy icon lendingclub-casestudy

Business Understanding You work for a consumer finance company which specialises in lending various types of loans to urban customers. When the company receives a loan application, the company has to make a decision for loan approval based on the applicant’s profile. Two types of risks are associated with the bank’s decision: If the applicant is likely to repay the loan, then not approving the loan results in a loss of business to the company If the applicant is not likely to repay the loan, i.e. he/she is likely to default, then approving the loan may lead to a financial loss for the company

telcom-churn-2021 icon telcom-churn-2021

To reduce customer churn, telecom companies need to predict which customers are at high risk of churn.

ved0507 icon ved0507

Config files for my GitHub profile.

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