Movie Recommendation System: Project using R and Machine learning
-
Updated
Nov 4, 2021 - R
Movie Recommendation System: Project using R and Machine learning
Data preparation for data science projects.
Academic project for Advances in Data Science and Architecture course
Cognifyz Technologies Data Science Internship project on Restaurant Data Analysis to explore insights and build predictive models.
Rainfall prediction from Australian weather dataset using multiple machine learning models.
Like the mudlark finding treasures on the foreshore, the datalark seeks treasures hidden within messy data!
Advanced Customer Segmentation methods in R
Movie Recommendation System is an R project to enhance your Machine Learning knowledge. It is simply a recommendation system that provides consumers with various suggestions based on their history and interests.
A preprocessing tool to merge gene count files
The data preprocessing pipeline for the VISION project (for mouse data)
RNA-Seq: Data Readiness for Machine Learning Applications
Proyek ini menganalisis data penjualan untuk memberikan wawasan tentang tren penjualan, profitabilitas, dan permintaan produk, guna membantu perusahaan merencanakan strategi harga, promosi, dan pengelolaan inventaris yang lebih efektif.
Exploratory Data Analysis (EDA) with the use of R programming language in the dataset Tetuan City power consumption
Crawling the statistical data of LoL game using R
Visualization of whole genome differential gene expression analyses
In this project we can see in action and in detail a big part of the ML pipeline (data wrangling,model building, model evaluation) that comprises different algorithms and approaches such as Decision Trees (RPART), Linear Discriminant Analysis (LDA), Gradient Boosting Machne (GBM), Random Forest (RF) Support Vector Machine (SVM) with or without M…
This project predicts whether an individual earns more than 50K using the Adult Income dataset. A Random Forest model is trained and evaluated, with explanations provided through DALEX and LIME for feature importance and model transparency.
This is a datathon organised by MicroStrategy and NTU joined by me and 3 other friends.
This is a web app created on Rshiny framework which can predict next word to be typed by the user.
Add a description, image, and links to the data-preprocessing topic page so that developers can more easily learn about it.
To associate your repository with the data-preprocessing topic, visit your repo's landing page and select "manage topics."