This Repo has CSCI 567 Machine Learning coursework
-
Updated
Sep 2, 2018 - Jupyter Notebook
This Repo has CSCI 567 Machine Learning coursework
Spam Detector is an online Email/SMS Spam Classifier based binary classification model to detect whether a text message is spam or not (i.e Ham).
Fashion Recommendation Engine using Deep Learning.
It is facial recognition based security system which is based on K-Nearest Neighbours
Fundamental ML algorithms in Python.
Predicts whether a given employee will leave the company or not.
Trying to code machine learning model from scratch in python
This repository is for managing all my assignment for Artificial Intelligence Course
A classifier that uses the scikit-learn library to predict whether the given measurements belong to a polar bear or a gray wolf.
K Nearest Neighbor Algorithm implemented in python using numpy
Implemented Artificial Neural Networks, and K nearest neighbors for classification problems. Used cross-validation for improving model accuracy. Plotted different types of learning curves like error rates vs train data size, error rates vs clock time. Compared performance using learning curves and confusion matrices across algorithms.
Lab works on Information Processes Analysis subject. Taught on 1st sem of applied mathematics master programm.
prediction of whether in-home team will win a match or not using logistic regression, SVM, random forest,etc. in R
Implementation to generate a model to predict the reliability of a loan to a customer using Statistical and Machine Learning classification techniques with Python, such as K Nearest Neighbor(KNN), Decision Tree, Support Vector Machine (SVM) and Logistic Regression. The bests weight parameters will be found according influence of Customer Loan Ph…
This is the prediction of the Purchasing of the IPhone based on different features of the Human's - KNN
Machine Learning Project
This Github repository contains projects related to KNN classification. Exploring Insights/Inferences by performing EDA on the given project data (Iphone purchase and Bangalore house price).
Machine Learning aalgorithms
Add a description, image, and links to the knearest-neighbor-algorithm topic page so that developers can more easily learn about it.
To associate your repository with the knearest-neighbor-algorithm topic, visit your repo's landing page and select "manage topics."