udacity/python/Supervised Learning/Linear Regression/28. Feature Scaling/data.csv

1	1.25664	2.04978	-6.23640	4.71926	-4.26931	0.20590	12.31798
2	-3.89012	-0.37511	6.14979	4.94585	-3.57844	0.00640	23.67628
3	5.09784	0.98120	-0.29939	5.85805	0.28297	-0.20626	-1.53459
4	0.39034	-3.06861	-5.63488	6.43941	0.39256	-0.07084	-24.68670
5	5.84727	-0.15922	11.41246	7.52165	1.69886	0.29022	17.54122
6	-2.86202	-0.84337	-1.08165	0.67115	-2.48911	0.52328	9.39789
7	-7.09328	-0.07233	6.76632	13.06072	0.12876	-0.01048	11.73565
8	-7.17614	0.62875	-2.89924	-5.21458	-2.70344	-0.22035	4.42482
9	8.67430	2.09933	-11.23591	-5.99532	-2.79770	-0.08710	-5.94615
10	-6.03324	-4.16724	2.42063	-3.61827	1.96815	0.17723	-13.11848
11	8.67485	1.48271	-1.31205	-1.81154	2.67940	0.04803	-9.25647
12	4.36248	-2.69788	-4.60562	-0.12849	3.40617	-0.07841	-29.94048
13	9.97205	-0.61515	2.63039	2.81044	5.68249	-0.04495	-20.46775
14	-1.44556	0.18337	4.61021	-2.54824	0.86388	0.17696	7.12822
15	-3.90381	0.53243	2.83416	-5.42397	-0.06367	-0.22810	6.05628
16	-12.39824	-1.54269	-2.66748	10.82084	5.92054	0.13415	-32.91328
17	5.75911	-0.82222	10.24701	0.33635	0.26025	-0.02588	17.75036
18	-7.12657	3.28707	-0.22508	13.42902	2.16708	-0.09153	-2.80277
19	7.22736	1.27122	0.99188	-8.87118	-6.86533	0.09410	33.98791
20	-10.31393	2.23819	-7.87166	-3.44388	-1.43267	-0.07893	-3.18407
21	-8.25971	-0.15799	-1.81740	1.12972	4.24165	-0.01607	-20.57366
22	13.37454	-0.91051	4.61334	0.93989	4.81350	-0.07428	-12.66661
23	1.49973	-0.50929	-2.66670	-1.28560	-0.18299	-0.00552	-6.56370
24	-10.46766	0.73077	3.93791	-1.73489	-3.26768	0.02366	23.19621
25	-1.15898	3.14709	-4.73329	13.61355	-3.87487	-0.14112	13.89143
26	4.42275	-2.09867	3.06395	-0.45331	-2.07717	0.22815	10.29282
27	-3.34113	-0.31138	4.49844	-2.32619	-2.95757	-0.00793	21.21512
28	-1.85433	-1.32509	8.06274	12.75080	-0.89005	-0.04312	14.54248
29	0.85474	-0.50002	-3.52152	-4.30405	4.13943	-0.02834	-24.77918
30	0.33271	-5.28025	-4.95832	22.48546	4.95051	0.17153	-45.01710
31	-0.07308	0.51247	-1.38120	7.86552	3.31641	0.06808	-12.63583
32	2.99294	2.85192	5.51751	8.53749	4.30806	-0.17462	0.84415
33	1.41135	-1.01899	2.27500	5.27479	-4.90004	0.19508	23.54972
34	3.84816	-0.66249	-1.35364	16.51379	0.32115	0.41051	-2.28650
35	3.30223	0.23152	-2.16852	0.75257	-0.05749	-0.03427	-4.22022
36	-6.12524	-2.56204	0.79878	-3.36284	1.00396	0.06219	-9.10749
37	-7.47524	1.31401	-3.30847	4.83057	1.00104	-0.19851	-7.69059
38	5.84884	-0.53504	-0.19543	10.27451	6.98704	0.22706	-29.21246
39	6.44377	0.47687	-0.08731	22.88008	-2.86604	0.03142	10.90274
40	6.35366	-2.04444	1.98872	-1.45189	-1.24062	0.23626	4.62178
41	6.85563	-0.94543	5.16637	2.85611	4.64812	0.29535	-7.83647
42	1.61758	1.31067	-2.16795	8.07492	-0.17166	-0.10273	0.06922
43	3.80137	1.02276	-3.15429	6.09774	3.18885	-0.00163	-16.11486
44	-6.81855	-0.15776	-10.69117	8.07818	4.14656	0.10691	-38.47710
45	-6.43852	4.30120	2.63923	-1.98297	-0.89599	-0.08174	20.77790
46	-2.35292	1.26425	-6.80877	3.31220	-6.17515	-0.04764	14.92507
47	9.13580	-1.21425	1.17227	-6.33648	-0.85276	-0.13366	-0.17285
48	-3.02986	-0.48694	0.24329	-0.38830	-4.70410	-0.18065	15.95300
49	3.27244	2.22393	-1.96640	17.53694	1.62378	0.11539	-4.29743
50	-4.44346	-1.96429	0.22209	15.29785	-1.98503	0.40131	4.07647
51	-2.61294	-0.24905	-4.02974	-23.82024	-5.94171	-0.04932	16.50504
52	3.65962	1.69832	0.78025	9.88639	-1.61555	-0.18570	9.99506
53	2.22893	-4.62231	-3.33440	0.07179	0.21983	0.14348	-19.94698
54	-5.43092	1.39655	-2.79175	0.16622	-2.38112	-0.09009	6.49039
55	-5.88117	-3.04210	-0.87931	3.96197	-1.01125	0.08132	-6.01714
56	0.51401	-0.30742	6.01407	-6.85848	-3.61343	-0.15710	24.56965
57	4.45547	2.34283	0.98094	-4.66298	-3.79507	0.37084	27.19791
58	0.05320	0.27458	6.95838	7.50119	-5.50256	0.06913	36.21698
59	4.72057	0.17165	4.83822	-1.03917	4.11211	-0.14773	-6.32623
60	-11.60674	-1.15594	-10.23150	0.49843	0.32477	-0.14543	-28.54003
61	-7.55406	0.45765	10.67537	-15.12397	3.49680	0.20350	11.97581
62	-1.73618	-1.56867	3.98355	-5.16723	-1.20911	0.19377	9.55247
63	2.01963	-1.12612	1.16531	-2.71553	-5.39782	0.01086	21.83478
64	-1.68542	-1.08901	-3.55426	3.14201	0.82668	0.04372	-13.11204
65	-3.09104	-0.23295	-5.62436	-3.03831	0.77772	0.02000	-14.74251
66	-3.87717	0.74098	-2.88109	-2.88103	3.36945	-0.30445	-18.44363
67	-0.42754	-0.42819	5.02998	-3.45859	-4.21739	0.25281	29.20439
68	8.31292	2.30543	-1.52645	-8.39725	-2.65715	-0.30785	12.65607
69	8.96352	2.15330	7.97777	-2.99501	2.19453	0.11162	13.62118
70	-0.90896	-0.03845	11.60698	5.39133	1.58423	-0.23637	13.73746
71	2.03663	-0.49245	4.30331	17.83947	-0.96290	0.10803	10.85762
72	-1.72766	1.38544	1.88234	-0.58255	-1.55674	0.08176	16.49896
73	-2.40833	-0.00177	2.32146	-1.06438	2.92114	-0.05635	-8.16292
74	-1.22998	-1.81632	-2.81740	12.29083	-1.40781	-0.15404	-6.76994
75	-3.85332	-1.24892	-6.24187	0.95304	-3.66314	0.02746	-0.87206
76	-7.18419	-0.91048	-2.41759	2.46251	-5.11125	-0.05417	11.48350
77	5.69279	-0.66299	-3.40195	1.77690	3.70297	-0.02102	-23.71307
78	5.82082	1.75872	1.50493	-1.14792	-0.66104	0.14593	11.82506
79	0.98854	-0.91971	11.94650	1.36820	2.53711	0.30359	13.23011
80	1.55873	0.25462	2.37448	16.04402	-0.06938	-0.36479	-0.67043
81	-0.66650	-2.27045	6.40325	7.64815	1.58676	-0.11790	-3.12393
82	4.58728	-2.90732	-0.05803	2.27259	2.29507	0.13907	-16.76419
83	-11.73607	-2.26595	1.63461	6.21257	0.73723	0.03777	-7.00464
84	-2.03125	1.83364	1.57590	5.52329	-3.64759	0.06059	23.96407
85	4.63339	1.37232	-0.62675	13.46151	3.69937	-0.09897	-13.66325
86	-0.93955	-1.39664	-4.69027	-5.30208	-2.70883	0.07360	-0.26176
87	3.19531	-1.43186	3.82859	-9.83963	-2.83611	0.09403	14.30309
88	-0.66991	-0.33925	-0.26224	-6.71810	0.52439	0.00654	-2.45750
89	3.32705	-0.20431	-0.61940	-5.82014	-3.30832	-0.13399	9.94820
90	-3.01400	-1.40133	7.13418	-15.85676	3.92442	0.29137	-0.19544
91	10.75129	-0.08744	4.35843	-9.89202	-0.71794	0.12349	12.68742
92	4.74271	-1.32895	-2.73218	9.15129	0.93902	-0.17934	-15.58698
93	3.96678	-1.93074	-1.98368	-12.52082	7.35129	-0.30941	-40.20406
94	2.98664	1.85034	2.54075	-2.98750	0.37193	0.16048	9.08819
95	-6.73878	-1.08637	-1.55835	-3.93097	-3.02271	0.11860	6.24185
96	-4.58240	-1.27825	7.55098	8.83930	-3.80318	0.04386	26.14768
97	-10.00364	2.66002	-4.26776	-3.73792	-0.72349	-0.24617	0.76214
98	-4.32624	-2.30314	-8.16044	4.46366	-3.33569	-0.01655	-10.05262
99	-1.90167	-0.15858	-10.43466	4.89762	-0.64606	-0.14519	-19.63970
100	2.43213	2.41613	2.49949	-8.03891	-1.64164	-0.63444	12.76193