whiran Goto Github PK

analyzing-visualizing-data-powerbi

This repository contains the lab files and other resources for the free Microsoft course DAT207x: Analyzing and Visualizing Data with Power BI. To learn how to connect, explore, and visualize data with Power BI, sign up for this course on edX.

arduinotensorflowlitetutorials

bitcoin-trader-rl

A profitable cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym

cleveralgorithms

Clever Algorithms: Nature-Inspired Programming Recipes

data

Python related videos and metadata powering =>

data-science--cheat-sheet-by-asif-bhatt

data-science-interview-questions-and-answers-general-

Data Science Questions and Answers (General) for beginner

data-science-projects

A Collection of Data Science/ML Projects

datasciencecoursera

data science exercises

datasharing

The Leek group guide to data sharing

deployment-heroku

Deployment Heroku

finance

Here you can find all the quantitative finance algorithms that I've worked on and refined over the past year!

flaskdvd

flasktemp

gcp-data-engineer-exam

Study materials for the Google Cloud Professional Data Engineering Exam

intro-to-data-science-in-python

Repo for the first course of the Applied Data Science with Python Specialization taught by University of Michigan hosted by Coursera

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

llm

loms

Label Order Management System

machine-learning-for-stock-market---liveedu

machine-learning-resources

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

metis_bootcamp

Working folder for Metis bootcamp

mit-15-003-data-science-tools

Study guides for MIT's 15.003 Data Science Tools

ml

ml-bootcamp-july-2019

n2n-watermark-remove

基于noise2noise修改的深度学习去水印项目。

nd064_course_1

neural-networks-and-deep-learning

This is my assignment on Andrew Ng's course “neural networks and deep learning”