Implementation of KDTree from scratch and implement kdtree classifier and linear classifier on two different datasets.
-
Updated
Sep 22, 2019 - Python
Implementation of KDTree from scratch and implement kdtree classifier and linear classifier on two different datasets.
A SVM classifier coded in Python using Scikit-Learn to classify whether a patient's tumor is malignant or benign.
MNIST digit classification with a Neural Network.
🌡To predict weather🌪 forecasting☁, a massive amount of data is being fed into the algorithm 🖥that uses deep learning techniques 🌦to learn it and then make predictions🌧 based on the past data. However, the trained ML model works on a physics free approach for the forecasting process🌫
A simple Flask application for data preprocessing, visualization and classification
Multi-class classifier with only 2 features for MNIST Database.
Machine Learning and Fault Detection
Comparison of common loss functions in PyTorch using MNIST dataset
The Analysis of a Linear Classifier Developed through Particle Swarm Optimization
Approach to some basic Machine Learning Techniques.
ANN model which predicts wine quality
This repository includes report about implementation of ML classification models .
Simple perceptron based on Daniel Shiffman's excellent tutorial.
A simple perceptron implemented in R.
A comparison between SVM and Logistic Regression models based on the linear classification problem.
Predict Career Longevity for NBA Rookies
A 2D linear classifier that wraps each group of points in a tight shape and then draws a separating line
Add a description, image, and links to the linear-classifier topic page so that developers can more easily learn about it.
To associate your repository with the linear-classifier topic, visit your repo's landing page and select "manage topics."