A machine learning script that uses KNN, Naive Bayes, Decision Trees, and Random Forests classification algorithms to predict a person's salary.
-
Updated
May 6, 2017 - Python
A machine learning script that uses KNN, Naive Bayes, Decision Trees, and Random Forests classification algorithms to predict a person's salary.
This project is to test classification algorithms wrote from scratch in python using only numpy. Algorithms wrote in this project: KNN, Logistic Regression and Naive Bayes classifier.
Supervised Machine Learning techniques to test results of classification on bank data.
Different classification algorithms are used to predict income levels of potential donors. The hyperparameters of the classifiers are optimized via grid_search and, among others, an ensemble classifier with the highest prediction performance is selected for this classification project.
Machine Learning Using Python & Sci-Kit Learn
Code for the birdometer ML testing and framework
Extracting Hist Features to do Image Classification using Decision Tree or Random Forest or Adaboost
Data Science
A classification based analysis of passenger survival using KNN,SVM,Naive Bayes and Logistic Regression
This repository contains a few basic algorithms in statistical methods in artificial intelligence
Data Science Experiments
Here I have applied various classification algorithms on a single data-set (Iris) which can be used for comparison purposes
Implementing the Naive Bayes to perform classification over MNIST and CIFAR-10 datasets. Results are compared with Bayesian Linear regression and LeNet5 architecture
Machine learning project. Comparision of different classification models.
My solutions to programming assignments from Coursera Machine Learning course by Stanford University
Predict if the customer will churn or not
Final Year Project
Data Science Case Study
Poverty targeting models @ HKS API-209
Image Classification using Machine Learning, Neural Nets and CNNs.
Add a description, image, and links to the classification-algorithims topic page so that developers can more easily learn about it.
To associate your repository with the classification-algorithims topic, visit your repo's landing page and select "manage topics."