Analyze graph/hierarchical performance data using pandas dataframes
The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection
Microbial Genome Circular plotting tool for comparative genomics using Circos
Visualization tool for analyzing call trees and graphs
Graph-indexed Pandas DataFrames for analyzing hierarchical performance data
The research work on local search algorithms
Comparative Data Analysis Ontology - A formalization of concepts and relations relevant to evolutionary comparative analysis
Magnipore: Differential single nucleotide changes of ONT signals
Machine learning approach for performing risk-based inspection (RBI) screening assessment
This is Europe's Political data which consists of information about life expectancy, pollution, population, unemployment, work hours, weather, trust in police, trust in legal authorities, Income, GDP, leisure satisfaction, trust in politics, environment satisfaction, low savings and crime for all the countries in Europe. I am going to compare th…
A comparative analysis of 4 ML algorithms. This Hypertension Risk Prediction Model can be described as a machine learning model designed to predict an individual's risk of developing hypertension based on various input parameters.
The Solidarity Project research programme repository
Live interactive tutorial for Hatchet
Business Validation Testing in Spark SQL
The Date of the observation AveragePrice - the average price of a single avocado type - conventional or organic year - the year Region - the city or region of the observation Total Volume - Total number of avocados sold 4046 - Total number of avocados with PLU 4046 sold 4225 - Total number of avocados with PLU 4225 sold 4770 - Total number of av…
A study on the statistical measurement of China's modernization based on the electric vehicle industry chain development
Evolutionary dynamics of mycorrhizal symbiosis in land plant diversification - trait data and analysis
A comparative analysis of best Classification method for Winsconsin Breast Cancer Data.
Performed univariate and bivariate analysis to understand the features and their relationships for loan approval prediction. Achieved highest accuracy of 98% for Extreme Gradient Boosting among all tested machine learning classification models.
A python tool to do comparative analysis of mulitple single cell datasets.
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