Pinned Repositories
AWS-SageMaker
Machine learning in the cloud with AWS SageMaker.
codechella
Data, Code and other material for CodeChella concert
Customer-Segmentation-Project
Unsupervised learning project to identify customer segments. Data provided by Arvato Bertelsmann.
Deep-Learning
Examples using public data in Keras and PyTorch
lectures
Lecture notes for EC 607
M4-Statistical-Methods
Statistical methods for time series forecasting applied to M4 data.
Machine-Learning-Engineer-Nanodegree
Notes and material for the "Machine Learning Engineer Nanodegree" (MLND) by Udacity.
MIT-6.00.1x
Introduction to Computer Science and Programming Using Python
RNN-for-Time-Series
Recurrent neural network (RNN) methods for time series forecasting
Supervised-Machine-Learning
Supervised machine learning examples.
tm1611's Repositories
tm1611/Machine-Learning-Engineer-Nanodegree
Notes and material for the "Machine Learning Engineer Nanodegree" (MLND) by Udacity.
tm1611/RNN-for-Time-Series
Recurrent neural network (RNN) methods for time series forecasting
tm1611/AWS-SageMaker
Machine learning in the cloud with AWS SageMaker.
tm1611/lectures
Lecture notes for EC 607
tm1611/MIT-6.00.1x
Introduction to Computer Science and Programming Using Python
tm1611/Supervised-Machine-Learning
Supervised machine learning examples.
tm1611/codechella
Data, Code and other material for CodeChella concert
tm1611/Customer-Segmentation-Project
Unsupervised learning project to identify customer segments. Data provided by Arvato Bertelsmann.
tm1611/Deep-Learning
Examples using public data in Keras and PyTorch
tm1611/M4-Statistical-Methods
Statistical methods for time series forecasting applied to M4 data.
tm1611/gettsim
The GErman Taxes and Transfers SIMulator
tm1611/gluon-ts
GluonTS - Probabilistic Time Series Modeling in Python
tm1611/Identifying-Donors-Project
Supervised learning project to identify individuals earning more than $50,000 using census data.
tm1611/Image-Classifier-Project
Deep learning project to classify images using PyTorch, neural networks, and transfer learning with GPU.
tm1611/M4-methods
Includes the source code of the methods which participated in the M4 Competition
tm1611/machine-learning
Content for Udacity's Machine Learning curriculum
tm1611/Machine-Learning-Stanford-Online
Machine learning course by Andrew Ng of Stanford University.
tm1611/OOP-in-Java
Object Oriented Programming in Java Specialization
tm1611/Quantile-Regression-Project
Quantile regression project with R.
tm1611/R-Programming
R Programming
tm1611/tidytuesday
Official repo for the #tidytuesday project
tm1611/Time-Series-with-R
Notes and code of the "Time Series with R"-Track on DataCamp.