Aws-machine-learning-university-accelerated-tab - Machine Learning University: Accelerated Tabular Data Class

Last update: Dec 23, 2022

Overview

Machine Learning University: Accelerated Tabular Data Class

This repository contains slides, notebooks, and datasets for the Machine Learning University (MLU) Accelerated Tabular Data class. Our mission is to make Machine Learning accessible to everyone. We have courses available across many topics of machine learning and believe knowledge of ML can be a key enabler for success. This class is designed to help you get started with tabular data (spreadsheet-like tables), learn about widely used Machine Learning techniques for tabular data, and apply them to real-world problems.

YouTube

Watch all Tabular Data class video recordings in this YouTube playlist from our YouTube channel.

Course Overview

There are three lectures and one final project for this class.

Lecture 1	Lecture 2	Lecture 3
Introduction to ML	Feature Engineering	Optimization
Sample ML Model	Tree-based Models	Regression Models
Model Evaluation	Bagging	Boosting
Exploratory Data Analysis	Hyperparameter Tuning	Neural Networks
K Nearest Neighbors (KNN)	AWS AI/ML Services	AutoML

Final Project: Practice working with a "real-world" tabular dataset for the final project. Final project dataset is in the data/final_project folder. For more details on the final project, check out this notebook.

Contribute

If you would like to contribute to the project, see CONTRIBUTING for more information.

License

The license for this repository depends on the section. Data set for the course is being provided to you by permission of Amazon and is subject to the terms of the Amazon License and Access. You are expressly prohibited from copying, modifying, selling, exporting or using this data set in any way other than for the purpose of completing this course. The lecture slides are released under the CC-BY-SA-4.0 License. The code examples are released under the MIT-0 License. See each section's LICENSE file for details.

Aws-machine-learning-university-accelerated-tab - Machine Learning University: Accelerated Tabular Data Class

Related tags

Overview

Machine Learning University: Accelerated Tabular Data Class

YouTube

Course Overview

Contribute

License

Owner

AWS Samples

This is the repository for Learning to Generate Piano Music With Sustain Pedals

Conditional Gradients For The Approximately Vanishing Ideal

A general-purpose encoder-decoder framework for Tensorflow

Introducing neural networks to predict stock prices

[ICRA2021] Reconstructing Interactive 3D Scene by Panoptic Mapping and CAD Model Alignment

Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks (MAPDN)

PyTorch implementation for COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction (CVPR 2021)

Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation

Python scripts using the Mediapipe models for Halloween.

Rethinking the U-Net architecture for multimodal biomedical image segmentation

Unofficial implementation of Point-Unet: A Context-Aware Point-Based Neural Network for Volumetric Segmentation

HIVE: Evaluating the Human Interpretability of Visual Explanations

Realtime segmentation with ENet, the fast and accurate segmentation net.

Convert Python 3 code to CUDA code.

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation (Findings of EMNLP 2021))

Posterior temperature optimized Bayesian models for inverse problems in medical imaging

(JMLR' 19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

PyTorch Implementation of SSTNs for hyperspectral image classifications from the IEEE T-GRS paper "Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A FAS Framework."

SAAVN - Sound Adversarial Audio-Visual Navigation,ICLR2022 (In PyTorch)