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breast_cancer_patients_survivability

Investigation of Survivability of Breast Cancer Patients using Clustering Analysis using K-Means and DBSCAN Algorithms

hyperparameter_tuning

introduction_to_r_programming_language

Learning basics of R programming language with useful notes and practice codes

pm2.5_time_series_analysis

ARIMAX and RNN+LSTM methods have been implemented for the prediction on PM2.5 (superfine particles in the air which are harmful to human health) by using the dataset “PRSA2017_Data_20130301-20170228.zip”. The dataset contains air pollutants data from 12 monitoring sites in China. The data was collected at regular 1-hour intervals from 01-Mar-2013 to 28-Feb-2017. Both the methods have been developed and their prediction performances have been evaluated and compared on each of the 12 sites.

reuters-21578_lda_topic_modelling

Reuters-21578 Corpus is a collection of documents consisting of news articles which appeared on Reuters newswire in 1987. The corpus is available in NLTK package in Python. Topic Modelling has been conducted on this Reuters-21578 corpus of news documents using Latent Dirichlet Allocation (LDA). The obtained topics have been visualized using proportional topics and words distributions, and also, topic word clouds.

snowflake_streamlit_app

Streamlit app built with Snowflake

stock_price_prediction

Stock Price Prediction and Recommendation System using Technical and Fundamental Analysis

treedb_clustering_analysis

Clustering Analysis has been performed on the data collected by Public Tree Management Division of Open Space and Environmental Services department of Wollongong City Council. It was a part of a collaborative project on optimization of tree selection for public spaces. Relevant attributes of the dataset have been analysed and and datapoints have been grouped into appropriate clusters using K-Means and DBSCAN algorithms.