There are 1 repository under comparative-analysis topic.
The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection
Microbial Genome Circular plotting tool for comparative genomics using Circos
The research work on local search algorithms
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.
Machine learning approach for performing risk-based inspection (RBI) screening assessment
The Solidarity Project research programme repository
Live interactive tutorial for Hatchet
Business Validation Testing in Spark SQL
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 these political situations or sentiments of people living in different parts of Europe using Data Analytics and Data Visualization.
A comparative analysis of best Classification method for Winsconsin Breast Cancer Data.
Creating Consensus Tree Figures with Ancestral State Estimations in BayesTraits
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
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 avocados with PLU 4770 sold Acknowledgements Many thanks to the Hass Avocado Board for sharing this 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.
Conduct a comparative analysis with Power BI dashboards. Visualize and interpret data for informed decision-making.
Classfying an unbalanced data set of delayed flights with the help of SMOTE and comparing the performance of three different classification models (Decision Tree, Logistic Regression, XGBoost).
Creating and comparing three regression models (Linear, Neureal Network & Random Forest) to predict Flight Delay and figuring out which one is the best.
Markov chains and Metropolis-Hastings methods applied to planning a deployment of 5G networks
tairaccession python package for interaction with tair and analyzing arabidopsis genome.
An analysis of the effects of Sustainable Development Goals (SDGs) on life expectancy around the world.
A comparative analysis of different machine learning algorithms for Geo location prediction of users based on twitter tweets dataset.
FIFA 19 is a football simulation video game developed by EA Vancouver as part of Electronic Arts' FIFA series. Announced on 6 June 2018 for its E3 2018 press conference, it was released on 28 September 2018 for PlayStation 3, PlayStation 4, Xbox 360, Xbox One, Nintendo Switch, and Microsoft Windows.It is the 26th installment in the FIFA series. As with FIFA 18, Cristiano Ronaldo initially as the cover athlete of the regular edition: however, following his unanticipated transfer from Spanish club Real Madrid to Italian side Juventus, new cover art was released, featuring Neymar, Kevin De Bruyne and Paulo Dybala.
Web Scraping (also termed Screen Scraping, Web Data Extraction, Web Harvesting etc.) is a technique employed to extract large amounts of data from websites whereby the data is extracted and saved to a local file in your computer or to a database in table (spreadsheet) format.
Statistics have always had a significant role in sports. As I mentioned above, sports analytics is on the rise and will continue to play a significant role in how teams operate, pick their players, how they play the game, etc. Cricket is no different. The runs scored by a batsman, the wickets taken by a bowler, or the matches won by a cricket team – these are all examples of the most important numbers in the game of cricket.
A comparative analysis of stratified vs. mega analysis strategies for GWAS.
This project presents a comparative analysis of life expectancy between developed and developing countries with the help of a Supervised Machine Learning model.
This is an in-depth exploratory data analysis of Spotify's stock performance from January 1, 2018, to the present. Utilizing Python and a robust set of libraries, this project examines trends, volatility, and external influences on Spotify's stocks using data from Yahoo Finance. From trend analysis and volatility exploration to predictive modeling.