This repository contains the necessary scripts to derive off-target models through (1) A neural network framework based on Keras and Tensorflow (2)An autmomated machine learning framework based on AutoGluon
Compilation of cheatsheets related to AI, Machine Learning, Software Development, etc
Analyzing transactions of a retailer to predict promotional items.
The task is to build a machine learning regression model will predict the number of absent hours. As Employee absenteeism is a major problem faced by every employer which eventually lead to the backlogs, piling of the work, delay in deploying the project and can have a major effect on company finances. The aim of this project is to find an issue…
Machine Learning in Healthcare Course with R
Repository for mainly R tips and tricks for my blog. I also include some VBA, SQL, C and Linux Usage.
This repository serves as an excellent introduction to implementing machine learning algorithms with R in depth such as linear and logistic regression, decision tree, random forest, SVM, Naive Bayes, KNN, K-Mean Cluster, PCA, Time Series Analysis and so on.
Classification of handwritten digits using MINST dataset
Using Machine Learning to predict wine review scores based on binarized tasting notes
This project was conducted as part of the 'Data Prediction Model' class during the 2023-1
This project is to predict number of bikes rented in each bike stations with a temporal granularity of one hour.
This was the Capstone project for my Masters degree. This project looked at data provided by Spotify in an effort to help determine which of 10 future tracks a listener would skip based on their listening history with 10 historical tracks in a session.
A simple R program that implements a very basic Polynomial Regression on a small data set. Because these data set don't have liner relationship between independent variable and dependent variable. so if we use the liner model then well get very High error. so in these example w'll compare both the model and select which one is best.
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Template for data science projects (R-based) which includes a few useful utilities.
Machine learning binary classification RStudio
In this project I am interested in classifying if existing vessels have the option of using alternative fuels based on vessel specific features.
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