This repo contains an R script that algorithmically finds the best distribution that fits several continuous, randomized variables

Johns Hopkins University Bloomberg School of Public Health: Data Science Specialization Program: Regression Models Course: Motor Trend Project repo: date created 61229

Shiny App to visualise and fit a GAM

Labs for the "Statistical Learning and Neural Networks" course @ Polytechnic University of Turin

Develop a data science project using historical sales data to build a regression model that accurately predicts future sales. Preprocess the dataset, conduct exploratory analysis, select relevant features, and employ regression algorithms for model development. Evaluate model performance, optimize hyperparameters, and provide actionable insights.

Statistical Modelling of Swine Flu Outbreak Data

step-by-step walkthrough of model fitting via least squares and staircase validation via negative log likelihood in MATLAB

C++ Tool for Template Fitting for Photometric Redshift Estimation

The projects which involve the use of ML concepts

Semester Project for Timeseries Course / Aristotle University of Thessaloniki / Winter Semester 2020

Finding Donors for CharityML

code to infer model parameters from data (first dedicated to the dynamic clicks task)

Multiple linear regression model based on eCommerce customers data in Python language.

Python-based fitting of 1-state MDP Reinforcement Learning algorithms using Global Optimization (Turner Lab, HHMI, 2023)

This MATLAB script fits either a linear or hyperbolic function to time-series data (e.g., growth data).

Welcome to our PC3 backend

Statistical Modelling and Data Visualization of a Climate Change Dataset ( May 1983 to December 2008 ) Sourced from Kaggle

Statistical analysis and linear modeling in R

EDA, visualization and model fitting of time series data for the Store Item Demand Forecasting Kaggle competition using the Prophet package. The goal of the competition is to predict the sales of 50 different items at 10 different stores over 3 months. Results would be in the 57th percentile.