There are 2 repositories under statistical-modeling topic.
Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models
Basic statistical modelling examples.
The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation" via Pytorch
Code and resources to serve as a starting point for data science projects.
Recursive Partitioning for Structural Equation Models
We present here a 1D convolutional neural network model to predict grain protein content using spectroscopic data of multiple cereals
OCaml Random Forests
An autoencoder neural network and a Gaussian mixture model are used for generating movement quality scores for rehabilitation exercises.
Portfolio of personal projects & curriculum from Springboard
Wrapper on top of libsvm-tools
Simple statistical prediction of the survival chances of the passengers in the testing set, given certain conditions as input. Refer to README.md for more detail
2022-11_brainhack_DetecSpikMotifs: Automatic detection of spiking motifs in neurobiological data. This project aims to develop a method for the automated detection of repeating spiking motifs, possibly noisy, in ongoing activity.
Correspondence to Lancet regarding the article by Santos-Burgoa and colleagues (2018)
A collection of scripts used for modeling global daily maximum surges
Special repository hosting the InPhyT website.
A project utilizing NLP techniques and analysis including text mining, document term matrices, sentiment analysis, wordclouds and topic modeling with LDA.
Evaluate the effectiveness of water consumption campaign in 12 districts
MATH-342 Time Series course taken at EPFL during Spring 17-18.
Created a model to estimate the measurement error existing in ROC curves - Measurement Error model, Bernstein polynomial Model, Contaminated Non-parametric Density Estimation, MLE, EM Algorithm, R
A series of Statistical Modelling assignments with the use of R. Applications of Linear, Polynomial, Logistic and Poisson Regression in various datasets
This project is a machine learning competition hosted on Kaggle platform, focused on forecasting Walmart's monthly and quarterly sales. We tasked with developing advanced predictive models to accurately predict Walmart's sales, taking into account various factors such as historical sales data, macroeconomic indicators, and local market conditions.
Attached in the repository are my academic projects from my Under Graduate Data Science Courses.
Data science projects created using actual data, using Python and R.
This C++ program, Dynamic Sentence Generator, leverages statistical analysis to create new sentences based on provided input text. The core functionality revolves around analyzing word transitions in the input text to capture patterns and then generate sentences that mimic the structure of the original text.