Remya Vellakkadaparambu Karthikeyan's Projects
A-Track: Detecting Moving Objects in FITS images.
Applying oversampling, undersampling and SMOTE for addressing class imbalance in a dataset
This is a workshop designed for Amazon Bedrock a foundational model service.
Applying Artificial Neural Network to support clinicians in screening pregnancies to identify those which potentially have issues so that they can receive further medical attention.
Simple python implementation of Apriori Algorithm to extract association rules from a given set of transactions
Applying apriori algorithm on titanic dataset for extracting association rules that contains 'Survived' on the RHS of the rule
Artificial Intelligence in the Search for Asteroids
Clinical Trial Data Analysis in Databricks with DataFrame, RDD, and Spark SQL Approaches
KMeans and DBSCAN Clustering on Facebook Live Data
The python files included are completed as a part of CoGrammar Data Science Bootcamp
ASDV COURSEWORK LAB SESSIONS
Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)
Hospital GP Management Database Design Proposal and Implementation in Microsoft SQL Server Management Studio using T-SQL
Applying density based clustering DBSCAN to the dataset 'Mall_Customers.csv'
Applying feature selection to dataset
Applying agglomerative clustering to the dataset 'Mall_Customers.csv'
The project is about classifying dog and cat images using a small dataset and enlarging it with image augmentation of fit the model accurately.
Churn prediction on Iranian telecom data using Random Forest Classification Algorithm
Applying centroid based K-means clustering to the dataset 'Mall_Customers.csv'
Linear regression estimation using Microsoft Excel and RStudio
Applying Decision Tree classification algorithm for predicting if a user is a potential buyer
Applying KNN classification algorithm for predicting if a user is a potential buyer
Predicting the medical condition
Python coding
Python coding
Building a Collaborative Filtering Recommender System for Users based on βPurchaseβ and βPlayβ Behavior
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