tcmle Goto Github PK

nlp_profiling

partsunlimitede2e

Code for the Parts Unlimited - VSE2017 Demo

personalized-news-recommendation

Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset

pipelines-azureml

Example Azure Pipeline to train and deploy a machine learning model using the Azure Machine Learning service

pokemon_ml_project

This is an example project to understand how to work with Kedro and MLFlow for machine learning projects.

practical-ml-vision-book

practical-mlops-book

[Book-2021] Practical MLOps O'Reilly Book

predicting-movie-tags-with-plot-synopsis-data

In this repository, I have done a detailed case study on predicting movie tags based on the movie plot summaries.

prml

PRML algorithms implemented in Python

pwc_datalympics

Projected to predict the predict the future payment dates for outstanding vendor invoices by analyzing previous payment timing data.

pytest-cov

Coverage plugin for pytest.

python

All Algorithms implemented in Python

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

python-sutime

Python wrapper for Stanford CoreNLP's SUTime

pythonpractice

极客时间课程《Python核心技术与实战》课程练习实践。

recommendation

Recommendation System using ML and DL

recsys

项亮的《推荐系统实践》的代码实现

resources

scikit-learn

scikit-learn: machine learning in Python

solution-accelerator-many-models

sparrowrecsys

A Deep Learning Recommender System

takehomedatachallenges

My solution to the book <A collection of Data Science Take-home Challenges>

testing-ml

🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.

the-elements-of-statistical-learning

My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

the-elements-of-statistical-learning-notebooks

Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman

the-elements-of-statistical-learning-python-notebooks

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

tiny_python_projects

Code for Tiny Python Projects (Manning, 2020, ISBN 1617297518). Learning Python through test-driven development of games and puzzles.

udacity

This repo includes all the projects I have finished in the Udacity Nanodegree programs

wandb2kaggle

Automatically upload the model saved as W&B Artifact to Kaggle Dataset.

webapp_mlops

This is a simple webapp for wine quality prediction and involves MLOPs including DVC for model and data tracking and Github actions for CI-Cd workflows. The app is deployed on Heroku.