Just a simple implementation of K-Nearest Neighbour algorithm.
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Updated
Sep 8, 2016 - Java
Just a simple implementation of K-Nearest Neighbour algorithm.
📧 💰 Python + Machine Learning / I analyse the Enron Scandal data and try to predict those who were involved in the Enron fraud based on their financial data
We have a set of emails, half of which were written by one person and the other half by another person at the same company . Our objective is to classify the emails as written by one person or the other based only on the text of the email. We'll tackle this problem using Naive Bayes, SVM and Decision Tree algorithms and explore similarities and …
Crime rate prediction and analysis using linear regression.
Implementation of Supervised Learning Algorithms for different data sets.1)Amazon Baby Products Review Data-Set 2) Diabetic Readmission Data 3) Handwritten Digit Dataset
Implementation of a few supervised machine learning algorithms in order to analyze the 2016 Presidential Election.
Implementation of Logistic Regression classifier model to determine HAM and SPAM emails
Following tutorials from Josh Gordon.
Identifying the conspirators in Enron fraud using Email Data
Supervised Classification using Python, SVM, HOG, Jupyter, Anaconda, AWS, Ubuntu
Udacity Nanodegree - Machine Learning - Supervised Learning, Unsupervised Learning, and Reinforcement Learning
Code solutions to Coursera ML course by Andrew Ng
This repository shows code of programming tasks which I completed during Machine Learning course on Coursera.
A basic MVC implementation of Supervised Machine Learning using Accord.NET.
Tutorial followed from the Understanding Machine Learning with Python pluralsight course by Jerry Kurata. Used the Machine Learning workflow to process and transform Pima Indian Diabetes data to create a prediction model that would predict which people are likely to develop diabetes with 70% or greater accuracy.
Implementation of supervised and unsupervised Machine Learning algorithms in python from scratch!
Facebook Challenge to classify genuinity of the seller
Udacity - Machine Learning - Project 1 (Linear Regression) - Predicting Boston Housing Prices - Submit Files Only - Passed Thu 04 May 2017
Study machine learning and AI
Link Prediction in Co-authorship dataset
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