| # based off of this code https://gist.github.com/nandajavarma/a3a6b62f34e74ec4c31674934327bbd3 | |
| # Brandon Skerritt | |
| # https://skerritt.tech | |
| def binary_search(the_array, item, start, end): | |
| if start == end: | |
| if the_array[start] > item: | |
| return start | |
| else: | |
| return start + 1 |
By Emily Gill and Amber Rivera
The Pipeline constructor from sklearn allows you to chain transformers and estimators together into a sequence that functions as one cohesive unit. For example, if your model involves feature selection, standardization, and then regression, those three steps, each as it's own class, could be encapsulated together via Pipeline.
| # 1. Number of times pregnant | |
| # 2. Plasma glucose concentration a 2 hours in an oral glucose tolerance test | |
| # 3. Diastolic blood pressure (mm Hg) | |
| # 4. Triceps skin fold thickness (mm) | |
| # 5. 2-Hour serum insulin (mu U/ml) | |
| # 6. Body mass index (weight in kg/(height in m)^2) | |
| # 7. Diabetes pedigree function | |
| # 8. Age (years) | |
| # 9. Class variable (0 or 1) | |
| 6,148,72,35,0,33.6,0.627,50,1 |
| #!/usr/bin/env python | |
| import boto3 | |
| import sys | |
| """ | |
| Generic AWS Helper call class to setup a boto3 Session. Now with assume role support. | |
| Pass in 'type=' to do either 'client' or 'resource' |
| def matprint(mat, fmt="g"): | |
| col_maxes = [max([len(("{:"+fmt+"}").format(x)) for x in col]) for col in mat.T] | |
| for x in mat: | |
| for i, y in enumerate(x): | |
| print(("{:"+str(col_maxes[i])+fmt+"}").format(y), end=" ") | |
| print("") | |
| # Try it! | |
| import numpy as np |
This list contains repositories of libraries and approaches for knowledge graph embeddings, which are vector representations of entities and relations in a multi-relational directed labelled graph. Licensed under CC0.
| # Redis Cheatsheet | |
| # All the commands you need to know | |
| redis-server /path/redis.conf # start redis with the related configuration file | |
| redis-cli # opens a redis prompt | |
| # Strings. |
A curated list of AWS resources to prepare for the AWS Certifications
A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.
