FORECASTOS.COM: Keyword Density Checker

Total words: 1272 | 2-word phrases: 339 | 3-word phrases: 350 | 4-word phrases: 353

PAGE INFO

Title	Try to keep the title under 60 characters (71 characters) ForecastOS: Feature Engineering as a Service. For Building Modern Edge.
Description	Try to keep the meta description between 50 - 160 characters (163 characters) Get pre-engineered features for ML-driven forecasts, OS portfolio engineering software, and custom solutions / research. Helping you modernize your financial edge.
Keywords	Meta keywords are not recommended anymore (0 characters)
H1	H1 tag on the page (32 characters) Feature Engineering as a Service

#	Keyword	Frequency	Density
1	features mlai forecasts	3	0.86%
2	mlai forecasts results	3	0.86%
3	the forecastos super	2	0.57%
4	feature engineering as	2	0.57%
5	engineering as a	2	0.57%
6	as a service	2	0.57%
7	datasets features mlai	2	0.57%
8	forecastos super six	2	0.57%
9	forecasting work with	1	0.29%
10	our feature engineering	1	0.29%
11	with our feature	1	0.29%
12	work with our	1	0.29%
13	featurehub eliminate 80	1	0.29%
14	mlai forecasting work	1	0.29%
15	of mlai forecasting	1	0.29%
16	submit footer enterprise	1	0.29%
17	help you with?	1	0.29%
18	solutions featurehub eliminate	1	0.29%
19	our solutions featurehub	1	0.29%
20	datasetsfeaturesforecastsresults our solutions	1	0.29%
21	a service for	1	0.29%
22	researchers and mlengineers	1	0.29%
23	data scientists researchers	1	0.29%
24	in 1 line	1	0.29%
25	preengineered features datasets	1	0.29%
26	1350 preengineered features	1	0.29%
27	code 1350 preengineered	1	0.29%
28	of code 1350	1	0.29%
29	line of code	1	0.29%
30	1 line of	1	0.29%

#	Keyword	Frequency	Density
1	features mlai forecasts results	3	0.85%
2	datasets features mlai forecasts	2	0.57%
3	feature engineering as a	2	0.57%
4	engineering as a service	2	0.57%
5	the forecastos super six	2	0.57%
6	logo blogabout get forecastos	1	0.28%
7	phone countryus 1ca 1uk	1	0.28%
8	work phone countryus 1ca	1	0.28%
9	blogabout get forecastos feature	1	0.28%
10	13 friendly guides for	1	0.28%
11	friendly guides for using	1	0.28%
12	covering helping you build	1	0.28%
13	yielded 13 friendly guides	1	0.28%
14	also yielded 13 friendly	1	0.28%
15	work also yielded 13	1	0.28%
16	this work also yielded	1	0.28%
17	investos covering helping you	1	0.28%
18	you build modern edge	1	0.28%
19	helping you build modern	1	0.28%
20	improved framework this work	1	0.28%
21	email work phone countryus	1	0.28%
22	work email work phone	1	0.28%
23	datasetsfeaturesforecastsresults our solutions featurehub	1	0.28%
24	our solutions featurehub eliminate	1	0.28%
25	solutions featurehub eliminate 80	1	0.28%
26	first name last name	1	0.28%
27	of mlai forecasting work	1	0.28%
28	mlai forecasting work with	1	0.28%
29	forecasting work with our	1	0.28%
30	work with our feature	1	0.28%
31	with our feature engineering	1	0.28%
32	our feature engineering as	1	0.28%
33	as a service for	1	0.28%
34	framework this work also	1	0.28%
35	1ca 1uk 44fr 33other	1	0.28%
36	countryus 1ca 1uk 44fr	1	0.28%
37	in doing so found	1	0.28%
38	mlai forecasts results contact	1	0.28%
39	opinionated framework for constructing	1	0.28%
40	framework for constructing and	1	0.28%

#	URL	Whois	Check
1	https://investos.io/guides/introduction/getting_started	Whois	investos.io
2	https://investos.io/guides/introduction/getting_started	Whois	investos.io
3	https://github.com/forecastos/investos	Whois	github.com
4	https://github.com/forecastos/investos	Whois	github.com