A follow up page for the session on Machine and Learning and Deep Learning frameworks at GNR 652 course.
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Updated
Apr 5, 2019
A follow up page for the session on Machine and Learning and Deep Learning frameworks at GNR 652 course.
Text clustering with K-means and tf-idf
딥러닝 with C++ 소스 코드
A Basic tutorial for beginners in Data Science. Contains step by step solution on the Titanic Dataset.
Classify movie posters by genre
Machine Learning Algorithm Implementations
Machine Learning tutorials covering both traditional and deep learning models.
Machine learning case study
Predict diabetes disease using a Logistic Regression with TensorFlow.js
The repository contains exercises on Machine Learning algorithms in R, using RStudio. Used to dive into ML, data preprocessing, data visualisation, and data exploration.
Study notes for Elements of Statistical Learning (ESL) book.
A machine repository for kick-starting Machine Learning in no time!
Machine learning notes that make your reading easy
An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
Demonstrating unsupervised clustering using the K Means algorithm and synthetic color data.
Algotrading101 article about Sklearn
Code and files to go along with CS329s machine learning model deployment tutorial.
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
In this tutorial we'll bring the TensorFlow 2 Quickstart to Valohai, taking advantage of Valohai versioned experiments, data inputs, outputs and exporting metadata to easily track & compare your models.
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