Heyo Humans !
I am Sabareesh, your friendly neighbourhood microbiologist cum data scientist. Science and math go hand in hand and I have a masters in both. I love to play with data and predict the future 'cause time traveling is impossible.Art is long just like the number system. I am an active illustrator and designer who worked in several books and magazines.If you're looking for someone who's passionate, dedicated and smart, you're at the right place.
Flight Price -Regression
Flight price prediction is a data science task that involves developing models to estimate the cost of airline tickets for various flight routes. With the dynamic and fluctuating nature of flight prices, predicting accurate fares can be a valuable tool for travelers, airlines, and travel agencies.
Mall customers - Clustering
The Dataset contains details of customers like age, sex, annual income, spending score,.. Spending Score is determined by the mall and the value of the spending score is between (1-100). The spending score near to 100 indicates that the customer has spent more money in the mall and when spending score is near 1 that indicates customer has spent less in the past in the mall. But the dataset does not tell in which category the customers belongs which indicates clustering should be performed.
CLASSIFICATION-PRJ
A cancer prediction classification model is an algorithmic approach that uses machine learning techniques to analyze data and predict the likelihood of an individual developing cancer. It is designed to classify individuals into different categories based on the probability of having cancer.
Boston-house-price-prediction
This application is designed to predict house prices in Boston using a machine learning model. It utilizes historical data on various housing features in the Boston area to make accurate predictions. The model is built using the scikit-learn library in Python, and it employs the popular Boston Housing dataset for training and evaluation.
Arigato / Gracias /Thank You