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120-ds-interview-questions

My Answer to 120 Data Science Interview Questions

ai-predictivemaintenance

ai_drive

ARCHIVE Data Science Retreat project code (migrated to Mule.AI (https://github.com/MarcusJones/muleAI)), and website.

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

carnd-behavioral-cloning-p3

Starting files for the Udacity CarND Behavioral Cloning Project

cc150

《程序员面试金典》(cc150)

color_recognition

:art: Color recognition both on a webcam stream in real-time, on video and on a single image using K-Nearest Neighbors Machine Learning classification algorithm is trained with Color Histogram Features.

dataparser

For tomtom project data

datasciencecoursera

data science

datasharing

The Leek group guide to data sharing

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

ds-take-home

My solution to the book A Collection of Data Science Take-Home Challenges

face_recognition

The world's simplest facial recognition api for Python and the command line

facenet

Face recognition using Tensorflow

facerecognition-opencv

Based on Rodrigo Agundez code at PyData Tutorial. https://github.com/rragundez/PyData For explanation search PyData video on youtube.

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

faster_rcnn_for_open_images_dataset_keras

Faster R-CNN for Open Images Dataset by Keras

flight-delay-prediction

In this project, I propose a flight delay prediction model which would be a great add-on feature for websites like FlightStats.com. Passengers can use this handy tool a few months before their trip all the way to the day of the trip to have a hassle-free air travel.

github_recommender_systems

DSR portfolio project: Recommender systems for GitHub users

going-dutch

Using Data Science and Machine Learning to find an apartment in Amsterdam.

google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

graph-based-recommendation-system

building a recommendation system using graph search methodologies. We will be comparing these different approaches and closely observe the limitations of each.

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

how_to_deploy_a_keras_model_to_production

This is the code for the "How to Deploy a Keras Model to Production" by Siraj Raval on Youtube

httr

httr: a friendly http package for R

image-downloader

Download images from Google, Bing, Baidu. 谷歌、百度、必应图片下载.

interpretable_machine_learning_with_python

Practical techniques for training interpretable ML models, explaining ML models, and debugging ML models.

jupyterams

kaggler

Code for Kaggle Data Science Competitions

keras-retinanet

Keras implementation of RetinaNet object detection.