Viewing a response to: @lemouth/re-krishtopa-the-best-way-to-analyze-a-huge-amount-of-corporate-data-decision-tree-20161020t064716441z
wow, sounds interesting. Probably you could tell about it in more details in one of your articles
author | krishtopa |
---|---|
permlink | re-lemouth-re-krishtopa-the-best-way-to-analyze-a-huge-amount-of-corporate-data-decision-tree-20161021t123507179z |
category | popularscience |
json_metadata | {"tags":["popularscience"]} |
created | 2016-10-21 12:35:15 |
last_update | 2016-10-21 12:35:15 |
depth | 2 |
children | 1 |
last_payout | 2016-11-20 03:54:48 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 98 |
author_reputation | 48,350,480,258,009 |
root_title | "The best way to analyze a huge amount of corporate data - Decision tree" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 1,588,105 |
net_rshares | 0 |
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
buddy67 | 0 | 0 | 100% |
I will think about it and add it to my list. I am however pretty busy those days and have not much time to write... patience may be required.... especially as i would like to continue writing my lecture notes on quantum mechanics ...
author | lemouth |
---|---|
permlink | re-krishtopa-re-lemouth-re-krishtopa-the-best-way-to-analyze-a-huge-amount-of-corporate-data-decision-tree-20161021t213947272z |
category | popularscience |
json_metadata | {"tags":["popularscience"]} |
created | 2016-10-21 21:39:51 |
last_update | 2016-10-21 21:39:51 |
depth | 3 |
children | 0 |
last_payout | 2016-11-20 03:54:48 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 233 |
author_reputation | 338,012,771,387,953 |
root_title | "The best way to analyze a huge amount of corporate data - Decision tree" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 1,591,515 |
net_rshares | 0 |
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
buddy67 | 0 | 0 | 100% |