Miscellaneous statistical/machine learning stuff
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Updated
May 23, 2024 - R
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Miscellaneous statistical/machine learning stuff
Repository for general data-science topics.
My repository (Lecture, Contest, Kaggle, Study, Paper)
autoEnsemble : An AutoML Algorithm for Building Homogeneous and Heterogeneous Stacked Ensemble Models by Searching for Diverse Base-Learners
Vorhersage, ob ein Spender aufgrund seiner Vorgeschichte erneut Blut spenden wird. | Predicting whether a donor will return to donate blood given their donation history.
This repository is created to keep the code which has been used to do a mini-tutorial. The objective of this activity is promote the disclosure about Bioinformatics and Computational Biology.
Machine Learning: Supervised SVM Algorithms for Disease Classification using Gene Expression Profiles | SSC Case Study
Final course project under the JHU data science course. This app uses a predictive text model built from the large corpus data. The model was built using the tidyverse package and n – gram function. The app was built using the Shiny package and it allows user to enter string and app will predict the next word.
Build a predictive model for the sale prices of homes in a city and explore potential equity issues with the real-estate assessment process
My project for a competition in the Statistical Learning course - academic year 2022/2023
R script for "E5S_metabolomics_workflow" computation
An R package for determining groups of curves
The goal is to build a music recommendation system that can provide custom playlists for individual users based on collaborative and metadata filtering.
These programs in R implement (PHCA) Persistent Homology Classification Algorithm which are used to solve classification tasks.
The motivation of this project is to complete the course in Data Science from HarvardX. The project aims to predict the units sold for each specific product. The database was downloaded from Kaggle and consists of data from e-commerce platform Wish (https://www.wish.com). Wish is a retailer that sells millions of product to customers in a e-comm…
The goal of this project is to use different Machine Learning algorithms to try to predict the rating that an user will give to a movie. To achieve this, we will use the Machine Learning models and statistics that we have learnt during the Data Science course and we will finally choose the one that gets the minimum RMSE number. The dataset is al…
In this project, I trained an SVM model to classify donors (By making a buy) and to answer the question "How likely would a donor donate the next time?" based on his/her Age and Income.