Kamal Raj's Projects
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.
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.
DSA----SHORT QUESTION
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."
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
Calculating the fares in NEW_YORK city by collecting the data and calculate the fares
Detect Parkinson's disease using voice features. Machine learning models analyze voice characteristics for accurate diagnosis. Advanced techniques ensure robustness and high accuracy.
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
Gain insights into leveraging data visualisations as a tool for making informed business decisions.