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Hi šŸ‘‹, I'm Vendi Kamal Raj

Passionate Data Scientist exploring the transformative realms of Machine Learning

  • šŸŒ± Iā€™m currently learning frameworks

  • šŸ’¬ Ask me about data analysis and analytics,Exploring Data Analysis,machine learning models

  • šŸ“« How to reach me [email protected]

Connect with me:

kamal-raj-25507320b

Languages and Tools:

css3 docker flask html5 kubernetes linux mssql mysql opencv oracle pandas postgresql python pytorch scikit_learn seaborn tensorflow

Kamal Raj's Projects

-dr.-semmelweis-and-the-discovery-of-handwashing icon -dr.-semmelweis-and-the-discovery-of-handwashing

In 1847, the Hungarian physician Ignaz Semmelweis made a breakthough discovery: he discovers handwashing. Contaminated hands was a major cause of childbed fever and by enforcing handwashing at his hospital he saved hundreds of lives.

analyze-death-age-difference-of-right-handers-with-left-handers icon analyze-death-age-difference-of-right-handers-with-left-handers

This project dismantles the myth of early death among left-handers by delving into age distribution data. Using pandas and Bayesian statistics, we analyze if changing rates of left-handedness correlate with average age at death. Our concise journey involves data collection, preparation, insightful analysis, Bayesian modeling, and myth debunking.

h1n1-vaccination- icon h1n1-vaccination-

In this dataset, we will take a look at vaccination, a key public health measure used to fight infectious diseases. Vaccines provide immunization for individuals, and enough immunization in a community can further reduce the spread of diseases through "herd immunity."

heart_disease_prediction icon heart_disease_prediction

The project involved analysis of the heart disease patient dataset with proper data processing. Then, different models were trained and and predictions are made with different algorithms KNN, Decision Tree, Random Forest,SVM,Logistic Regression etc This is the jupyter notebook code and dataset I've used for my Kaggle kernel 'Binary Classification

stock-market-predictions-with-lstm-in-python icon stock-market-predictions-with-lstm-in-python

This repository contains an implementation of a Stock Market Prediction model using Long Short-Term Memory (LSTM) networks in Python. The goal of this project is to forecast stock prices based on historical data, leveraging the powerful capabilities of LSTM, a type of recurrent neural network (RNN) that is well-suited for sequence prediction tasks

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