klayala
Hello, My name is Kevin and here you may find access to previous works including projects in Statistical Machine learning, Time Series, Survival Analysis, ect.
Los Angeles
Pinned Repositories
Advanced-Statistical-Models-Labs
Lab work from a Advance Statistical Models course. Included are codes as well as output pdf. Topics include Generalized Linear Models (GLM'S), Non-Parametric Regression, as well as Regularization.
Bayesian-Statistics-Data-Analysis
Work done at UCSB for PSTAT 115, Bayesian Data Analysis
GameData-
Analyzing player data, there are 6 different games that come in the form of a mobile application or install. We discover the game with highest retention rates, plot graphs, amongst others.
HR-Data-Analytics---Employee-Churn-Predictions
Using dummy data, this high level data analysis uses a combination of feature engineer, machine learning (logistic), visualization, and statistical testing to find insights regarding employee data and churning/attrition.
Human-Activity-Recognition-Smartphones
Big Data and Machine learning, highlights includes pipelines, PCA, random forest, hyper-parameter tuning.
Machine-Learning-2016-President-Election
This is perhaps my most proudest project thus far. There are multiple Machine Learning algorithms used in the project such as decision trees, logistic regression, lasso, clustering and more. There are also multiple visuals. Read the README!
Modeling-Burn-Victims-Time-to-Straphylococus-Infection
Survival Analysis Project. I chose a burn dataset to conduct survival analysis on as I found the data particularly interesting. It was typed up as a report in addition to the coding I did. Key highlights are exploratory data analysis, Kaplan-Meier estimates (nonparametric), cox proportional hazard regression, model selection, and of course diagnostics.
Predicting-Mauna-Loa-Volcano-Co2-Emissions-
This project was done in a total group of 5 people and we used a Time Series method to achieve our goal of being able to accurately forecast carbon monoxide emission levels from the Mauna Loa Volcano in Hawaii. This indeed was an interesting dataset for all of us and we had fun doing it. The final model we used was a SARIMA model (Seasonal Auto Regressive Moving Average). Since we were a group of 5, my primary responsibilities were diagnostic checking the model and model selection.
Visualizing-Corona-VIrus-Pandemic
Using public open datasets, we visualize the corona virus pandemic to understand how fast it spread, and how countries compare to one another in terms of confirmed cases.
klayala's Repositories
klayala/Human-Activity-Recognition-Smartphones
Big Data and Machine learning, highlights includes pipelines, PCA, random forest, hyper-parameter tuning.
klayala/Advanced-Statistical-Models-Labs
Lab work from a Advance Statistical Models course. Included are codes as well as output pdf. Topics include Generalized Linear Models (GLM'S), Non-Parametric Regression, as well as Regularization.
klayala/Bayesian-Statistics-Data-Analysis
Work done at UCSB for PSTAT 115, Bayesian Data Analysis
klayala/GameData-
Analyzing player data, there are 6 different games that come in the form of a mobile application or install. We discover the game with highest retention rates, plot graphs, amongst others.
klayala/HR-Data-Analytics---Employee-Churn-Predictions
Using dummy data, this high level data analysis uses a combination of feature engineer, machine learning (logistic), visualization, and statistical testing to find insights regarding employee data and churning/attrition.
klayala/Machine-Learning-2016-President-Election
This is perhaps my most proudest project thus far. There are multiple Machine Learning algorithms used in the project such as decision trees, logistic regression, lasso, clustering and more. There are also multiple visuals. Read the README!
klayala/Modeling-Burn-Victims-Time-to-Straphylococus-Infection
Survival Analysis Project. I chose a burn dataset to conduct survival analysis on as I found the data particularly interesting. It was typed up as a report in addition to the coding I did. Key highlights are exploratory data analysis, Kaplan-Meier estimates (nonparametric), cox proportional hazard regression, model selection, and of course diagnostics.
klayala/Predicting-Mauna-Loa-Volcano-Co2-Emissions-
This project was done in a total group of 5 people and we used a Time Series method to achieve our goal of being able to accurately forecast carbon monoxide emission levels from the Mauna Loa Volcano in Hawaii. This indeed was an interesting dataset for all of us and we had fun doing it. The final model we used was a SARIMA model (Seasonal Auto Regressive Moving Average). Since we were a group of 5, my primary responsibilities were diagnostic checking the model and model selection.
klayala/Visualizing-Corona-VIrus-Pandemic
Using public open datasets, we visualize the corona virus pandemic to understand how fast it spread, and how countries compare to one another in terms of confirmed cases.
klayala/klayala
Config files for my GitHub profile.
klayala/Modeling-Personal-Happiness-
Regression Analysis, this was my first ever project with statistics and coding in the R language. Looking back I feel like I have come a long way from when I was as I have grown my coding skills.
klayala/Resume
klayala/Survival-Analysis-Labs
Lab work regarding Survival Analysis, analysis and programming used with R. Included code as well as Outputs.
klayala/Text-Analysis-
Yelp Review and Harry Potter Sentiment Analysis