Simple and flexible classical ML module that can be used for recording baseline ML performance.

This Repository contains all the files related to regression algorithms. In every file EDA and Implementation of particular regression model is done. it also contain some solved assignments of each algorithm. All files are in ipynb format.

PreTHOD: Prediction of THerapy Outcome in Depression, a research project for the development of clinical prediction models to predict therapy outcome of depression.

Study about salaries in data scientists roles applying the following techniques: QDA, LDA, Naive-Bayes approach, Random Forests, KNN, SVM, (Logistic, Lasso and Ridge) Regression and Elastic Nets. Also, study of the database considering linear, simple and multivariate models.

Convex linear models, Linear Regression, Logistic Regression, and Support Vector Machines, to test convexity and performance by using non-linear endogenous features in time series data.

Baruch College STA9890 Spring 2020 Final Project.

Regression Models - Decision Trees (GBM) and Linear Regression (ElasticNet)

Repo for machine learning classes

LASSO, elastic net, Adaptive LASSO, SCAD methods for determining top predictors for each method

Ejercicio de regresiones por distintos métodos (Mejor Selección de Conjuntos, Selección de pasos hacia adelante, Ridge, LASSO, Elastic Net, Componentes Principales, Mínimos Cuadrados Parciales, etc.)

Predicting Time of Arrival for Food Delivery Service

Machine Learning Regression model For Bike Sharing Demand Prediction

Exploratory data analysis and supervised learning analysis on the Ames Housing Prices dataset.

Coding ML models, Sampling Methods, Feature Selection algorithms from scratch

Application of learnings in the Machine Learning course , this project mainly gives first hand idea of elaborative exploratory data analysis performed on data sets and various advanced regressions models are used for predicting House Prices.

Predicting the Total Number of Claps of a Medium Blog Post Using Word Embeddings and RNNs

MS thesis project using GAMM and elastic net regression to predict quality of life in young adulthood from individual differences in adolescent neurocognitive development

Final project for Intro to Data Science w/ R (CAP 5768)

Elastic net project

Graduate course paper and R code for EDUC545