sunnycd Goto Github PK

test_prac

tibble

Data frames and table sources in "dplyr" style

tidyr

Easily tidy data with spread and gather functions.

top-deep-learning

Top 200 deep learning Github repositories sorted by the number of stars.

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

trials

twitter-2020-sentiment-analysis

Sentiment Analysis Project using Natural Language Processing (NLP) Techniques

ubcadv-r

Note sharing for a discussion group around the Advanced R Programming book (http://adv-r.had.co.nz/)

ud120-projects

Starter project code for students taking Udacity ud120

udacity

Machine Learning Engineer Nanodegree

udacity-a-b-test

For this project, you will be working to understand the results of an A/B test run by an e-commerce website. Your goal is to work through this notebook to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.

udacity-ab-testing-final-project

This project aims at analyzing two different versions of Udacity website and determining which version of the website will bring more traffic or generate more revenue. The project included choosing a metric, building intuition, defining hypothesis and comparing two samples for hypothesis testing.

udacity-machine-learning-engineer-nanodegree

My projects for Udacity Machine Learning Nanodegree (MLND) Program. The Machine Learning, Data Science and Deep Learning projects contained in this directory make use of tools such as Python, PyTorch, Sci-Kit Learn, AWS SageMaker, AWS Lambda, Amazon S3, Amazon API Gateway and XGBoost to implement machine learning solutions to different types of problems in areas such as business, finance and academia to name a few.

udacity-machine-learning-nanodegree

All projects and lecture notes of the Udacity Machine Learning Engineer Nanodegree.

udacity-ml-nanodegree

Projects for Udacity's Machine Learning Engineer Nanodegree

udacity_machine_learning_nd

unsupervised_anomaly_detection

A Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the different algorithms works and their differents caracteristics.

usaddress

:us: a python library for parsing unstructured United States address strings into address components

vim-lucius

Lucius color scheme for vim

vision

Datasets, Transforms and Models specific to Computer Vision

web-scraping-reddit

Web scraping Reddit without using Reddit API, and making a dataset, and using the dataset for a machine learning project.

web-traffic-forecasting

Kaggle | Web Traffic Forecasting 📈

webdevbootcamp

All source code for back-end projects from the Web Developer Bootcamp

workshops

IQSS RTC workshop materials

workshops-1

This is a repository for all workshop related materials.

x

x

xaprb-src

My personal blog.

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow