Random Machine Learning Projects
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Updated
Sep 22, 2017 - Python
Random Machine Learning Projects
My implementation of homework 2 for the Machine Learning class in NCTU (course number 5088).
Using classic machine learning models - K-NN, Multiclass Logistic Regression, SVM and Random Forest to make predictions
Multilabel Classification of Wikipedia Talk comments for calculating Toxic behavior.
Wine Name Recognition using Logistic Regression
Tensorflow codes written as part of Advanced Machine Learning Course Work
The projects are part of the graduate-level course CSE-574 : Introduction to Machine Learning [Spring 2019 @ UB_SUNY] . . . Course Instructor : Mingchen Gao (https://cse.buffalo.edu/~mgao8/)
Implementation and analysis of core Machine Learning Algorithms from scratch.
Image Recognition using Python on MNIST dataset with the help of CNN, Multiclass Logistic Regression and SGD
An NLP model that can predict the probability for each type of toxicity of comments.
Multiclass logistic regression implementation from scratch
Multi class and Binary Classification through Logistic Regression and SVM
Basic Machine Learning implementation with python
Hand Written digit recognition by loading datasets from sklearn library
This is the term project for the Mathematical Foundations of Data Science course in Bilkent University. The aim of this project is to automatically diagnose skin cancer from images.
A multi class persian text classification using logistic regression
A multi-class classification problem where the objective is to read a question posted on the popular reference website, StackOverflow and predict the primary topics it deals with, i.e. tags which the question will be associated with.
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