Analysis of the Restaurant reviews by using the Naive Bayes & the Random Forests Algorithms
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Updated
Aug 22, 2017 - Python
Analysis of the Restaurant reviews by using the Naive Bayes & the Random Forests Algorithms
This is an example for how handwritten digits can be learnt with random forests
Regression and Classification task with sklearn.
This project is about anomaly detection in social network, completely on network structure. We use random forest algorithm to train and test our classifier. Also, we are going to see how the effect of increase of trees in forest to the accuracy of prediction.
This is spark/Scala based Mobile Telecommunication Customer Churn Prediction model developed using Random Forest algorithm
Analyse prior taxi geolocation and pricing data to predict future pricing
Machine Learning algorithms. Generic code related to ML.
supervised machine learning classifier model
Machine Learning competition on Kaggle.org: Random Forest algorithm and ensemble of algorithms to predict Titanic survivors. Top 8% rank
This is a Machine Learning model developed with "Decision Trees Algorithm" and "Random Forest Algorithm" to predict the turnover of HDFC bank with a given dataset of the previous turnovers and features.
Design and Implementation of Random Forest algorithm from scratch to execute Pacman strategies and actions in a deterministic, fully observable Pacman Environment.
In this project, we are going to use a random forest algorithm (or any other preferred algorithm) from scikit-learn library to help predict the salary based on your years of experience. We will use Flask as it is a very light web framework to handle the POST requests.
Projects based on Machine Leaning
Build and Tune Several Models
Laboratory with random forest, logistic regression and SVM. The dataset used for this test is a set of points generated randomly with the following specification: • Number of Samples: 1200 • Number of Classes: 3 • Number of Features: 2 (Length and Width).
A Random Forest Algorithm is a supervised machine learning algorithm that is extremely popular and is used for Classification and Regression problems in Machine Learning. We know that a forest comprises numerous trees, and the more trees more it will be robust.
Data analysis project on Digital Addiction for master thesis
Understand and code some basic algorithms in machine learning from scratch
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