Regression models for predicting customer acquisition costs (CAC) and the effectiveness of univariate and lasso feature selection techniques in improving the accuracy.

MA4094*-應用統計

Project with Seokjun for Stat 204. On athletes, sex, & anger management.

Project Data Science Salary Prediction using SAS.

projet d'analyse exploratoire et de visualisation

Regression | Analysis | Modelling | Bayesian Search CV | Data Leakage | Overfit/Underfit | End-to-End Project

Se realiza un análisis estadístico descriptivo de datos obtenidos en 3 viñedos diferentes con el objetivo de encontrar diferencias y relaciones entre las variables medidas, para concluir las características del vino de cada viñedo.

Regression Approach to Anova.

The data, R programming, and outputs for the research paper testing glucose consumption and cognitive factors. I used R to clean, process, model, and visualize the data. The outputs folder contains the finished products. Link to paper pending.

Statistical Analysis of Hospitalization Costs: Leveraging SQL and R for Insights

In this project we created a vector map of our university campus from multiple overlapping screenshots of the campus from Google Map using two way ANOVA model.

To increase efficiency of a cotton mill. I set up an ANOVA 3 factor analysis model in R to determine best spindle & position that produces the longest roving. The only significant difference in roving length was observed when position was 3 and spindle was 1 or 2. (ANOVA Model in R)

Statistical analysis and visualizations was written in R programming, Load, clean up, reshape datasets using Tidyverse. visualize datasets with basic plots such as line, bar, scatter plots using ggplot2, Implemented and evaluated one-sample t-Tests, two-sample t-Tests, and analysis of variance (ANOVA) models for the dataset.

In this project I used classification algorithms for analysis of avila dataset

See Readme.md

Very detailed exploratory data analysis is executed on the dataset. Univariate and bivariate analysis using ANOVA and Chi-Squared Test between continuous and categorical variables are explored to find out the relationship between input variables and the output target 'revenue'.

Introductory-level EDA on UN Happiness Report and World Bank Metrics from 2019

This repository contains a project I completed for an NTU course titled CB4247 Statistics & Computational Inference to Big Data. In this project, I applied regression and machine learning techniques to predict house prices in India.

Designing Industrial Experiments, one-way, and two-way ANOVA analysis, Experimental design principles (Replication, Randomization, and Blocking), Parameter Estimation, Sample Variance