random-forest

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

Machine Learning for Phishing Website Detection

Machine Learning Applications using Sklearn, matplotlib, pandas, and seaborn

DNA methylation-based classification of central nervous system tumours

Rule covering for interpretation and boosting

Modelling with Tidymodels and Parsnip - A Tidy Approach to a Classification Problem

Scrape Bangkok condominium listing from hipflat.com and compare ML performance

Mini-project based on activity detection dataset at UCIML. Checkout branches for latest push.

A Django App for predicting Heart disease, Diabetes and Breast Cancer developed using Random Forest Classifier and KNN.

2020 Spring Fudan University Data Mining Course HW by prof. Zhu Xuening. 复旦大学大数据学院2020年春季课程-数据挖掘（DATA620007）包含数据挖掘算法模型：Linear Regression Model、Logistic Regression Model、Linear Discriminant Analysis、K-Nearest Neighbour、Naive Bayes Classifier、Decision Tree Model、AdaBoost、Gradient Boosting Decision Tree(GBDT)、XGBoost、Random Forest Model、Support Vector Machine、Principal Component Analysis(PCA)

Analysis of Data Scientist Job Descriptions using Natural Language Processing

Analysis on hospital readmission data for diabetic patients using R and Tableau

Prevision.io sdk

Predicting Hard Drive failure using SMART Metrics

Predictive Machine Learning projects

Use NLP & Sentiment analysis in Python to determine the impact sentiment has on the price of Bitcoin

Classifying Forest Cover type

Rule-based Algorithmic Trading using a Genetic Algorithm and Machine Learning Signals for the Cryptocurrency Market.

Udacity Machine Learning Basic Nanodegree Program - Project 1

MIT EDX Course

The following question is the one we would like answered: Can we predict future terminations? If so, how well can we predict?

basic machine learning algorithms and applications in python

데이터 과학 모형

A quick reference guide for creating prediction models using R caret.

Predict bitcoin price using gold and S&P 500 data implementing LSTM, Gradient Boosting Regression, and Random Forest

UNSW codeRs workshop: Introduction to Classification Trees and Random Forests in R. These documents will walk you through examples to fit classification trees and random forest models in R.

AI-Mail-Classifier for Techfest IITB competition

Techniques for analyzing and visualizing data at scale.

Presentation I did on the NSA's Skynet program