|
RAR-files |
| jgt-building-features-numeric-data.rar |
15,000,000 |
90D20E1E |
| jgt-building-features-numeric-data.r00 |
15,000,000 |
85BAF227 |
| jgt-building-features-numeric-data.r01 |
15,000,000 |
511D6273 |
| jgt-building-features-numeric-data.r02 |
15,000,000 |
EEE71473 |
| jgt-building-features-numeric-data.r03 |
15,000,000 |
145EB3F4 |
| jgt-building-features-numeric-data.r04 |
15,000,000 |
378B7AB3 |
| jgt-building-features-numeric-data.r05 |
15,000,000 |
15DAD99C |
| jgt-building-features-numeric-data.r06 |
15,000,000 |
0FDB369C |
| jgt-building-features-numeric-data.r07 |
15,000,000 |
6ACD632E |
| jgt-building-features-numeric-data.r08 |
15,000,000 |
9BF5BF09 |
| jgt-building-features-numeric-data.r09 |
15,000,000 |
321F0FDF |
| jgt-building-features-numeric-data.r10 |
15,000,000 |
488B57AD |
| jgt-building-features-numeric-data.r11 |
15,000,000 |
E05B876D |
| jgt-building-features-numeric-data.r12 |
15,000,000 |
5EF80564 |
| jgt-building-features-numeric-data.r13 |
15,000,000 |
58DB2118 |
| jgt-building-features-numeric-data.r14 |
6,112,951 |
400E7083 |
|
| Total size: |
231,112,951 |
|
|
| Archived
files |
|
Pluralsight Building Features from Numeric Data\01.Course Overview\0101.Course Overview.mp4
[560190913b82acdb]
|
4,003,530 |
6225059C |
|
Pluralsight Building Features from Numeric Data\02.Using Numeric Data in Machine Learning Algorithms\0201.Module Overview.mp4
[f8faa6bf4086115f]
|
1,303,220 |
488497C0 |
|
Pluralsight Building Features from Numeric Data\02.Using Numeric Data in Machine Learning Algorithms\0202.Prerequisites and Course Outline.mp4
[a2c2274bda790925]
|
2,535,007 |
5FDC09E3 |
|
Pluralsight Building Features from Numeric Data\02.Using Numeric Data in Machine Learning Algorithms\0203.Scaling and Standardization.mp4
[8b8c0d758b7cca88]
|
5,104,424 |
72D58917 |
|
Pluralsight Building Features from Numeric Data\02.Using Numeric Data in Machine Learning Algorithms\0204.Mean, Variance, and Standard Deviation.mp4
[f26d07e00d05b9f3]
|
4,755,221 |
EFA8D837 |
|
Pluralsight Building Features from Numeric Data\02.Using Numeric Data in Machine Learning Algorithms\0205.Understanding Variance.mp4
[8310433047e10b90]
|
4,988,256 |
4AC044FB |
|
Pluralsight Building Features from Numeric Data\02.Using Numeric Data in Machine Learning Algorithms\0206.Demo Calculating Mean, Variance, and Standard Deviation.mp4
[45a4f1f3a93ed189]
|
12,529,971 |
F4D5BA54 |
|
Pluralsight Building Features from Numeric Data\02.Using Numeric Data in Machine Learning Algorithms\0207.Demo Box Plot Visualization and Data Standardization.mp4
[3e23011e94fbd987]
|
10,559,774 |
F44CF4C6 |
|
Pluralsight Building Features from Numeric Data\02.Using Numeric Data in Machine Learning Algorithms\0208.Standard Scaler.mp4
[46e5b3a1995d4fd6]
|
5,290,358 |
443A9074 |
|
Pluralsight Building Features from Numeric Data\02.Using Numeric Data in Machine Learning Algorithms\0209.Demo Standardize Data Using the Scale Function.mp4
[82c66474bffa04ba]
|
8,812,591 |
3E88DBC9 |
|
Pluralsight Building Features from Numeric Data\02.Using Numeric Data in Machine Learning Algorithms\0210.Demo Standardize Data Using the Standard Scalar Estimator and Apply Bessels Correction.mp4
[c58de3ecc6e57e26]
|
6,629,810 |
90A6CE3D |
|
Pluralsight Building Features from Numeric Data\02.Using Numeric Data in Machine Learning Algorithms\0211.Robust Scaler.mp4
[f056c0caaaf2233c]
|
4,823,474 |
2A6A625F |
|
Pluralsight Building Features from Numeric Data\02.Using Numeric Data in Machine Learning Algorithms\0212.Demo Scaling Data Using the Robust Scaler.mp4
[8f47b50be1179de]
|
11,824,211 |
E136043F |
|
Pluralsight Building Features from Numeric Data\02.Using Numeric Data in Machine Learning Algorithms\0213.Summary .mp4
[d114fce644e63848]
|
1,843,197 |
DED06C9E |
|
Pluralsight Building Features from Numeric Data\03.Building Features Using Normalization\0301.Module Overview.mp4
[ab3135ba2bc9e4a4]
|
1,013,405 |
A2A5C793 |
|
Pluralsight Building Features from Numeric Data\03.Building Features Using Normalization\0302.What Is Normalization.mp4
[98ab363bee3a54a4]
|
2,045,450 |
5F80B6D3 |
|
Pluralsight Building Features from Numeric Data\03.Building Features Using Normalization\0303.Normalization and Cosine Similarity .mp4
[d5b577ce6f0f4efb]
|
10,623,802 |
A39034DF |
|
Pluralsight Building Features from Numeric Data\03.Building Features Using Normalization\0304.Demo Cosine Similarity and the L2 Norm.mp4
[a332a229e4729013]
|
11,982,092 |
02295A3E |
|
Pluralsight Building Features from Numeric Data\03.Building Features Using Normalization\0305.Demo Normalizing Data to Simplify Cosine Similarity Calculations.mp4
[bba430b4b45296aa]
|
7,846,597 |
9C3DE69E |
|
Pluralsight Building Features from Numeric Data\03.Building Features Using Normalization\0306.Demo K-means Clustering with Cosine Similarity.mp4
[c347006ed4c05dd4]
|
9,714,987 |
178D2728 |
|
Pluralsight Building Features from Numeric Data\03.Building Features Using Normalization\0307.L1, L2 and Max Norms.mp4
[74f3d8c8837ad2ad]
|
2,804,734 |
7DF85EC9 |
|
Pluralsight Building Features from Numeric Data\03.Building Features Using Normalization\0308.Demo Normalization Using L1, L2 and Max Norms .mp4
[fbd60e8436a8c64c]
|
8,791,274 |
A6DD1294 |
|
Pluralsight Building Features from Numeric Data\03.Building Features Using Normalization\0309.Summary.mp4
[deff3c0bb22df9b9]
|
1,382,678 |
96FEDE3F |
|
Pluralsight Building Features from Numeric Data\04.Building Features Using Scaling and Transformations\0401.Module Overview.mp4
[72fa6ad7009f014b]
|
1,582,694 |
C2572484 |
|
Pluralsight Building Features from Numeric Data\04.Building Features Using Scaling and Transformations\0402.Converting Continuous Data to Categorical.mp4
[3f841f575b5221e8]
|
3,356,982 |
34859DEE |
|
Pluralsight Building Features from Numeric Data\04.Building Features Using Scaling and Transformations\0403.Demo Convert Numeric Data to Binary Categories Using a Binarizer.mp4
[5d37c21e18c1fb9e]
|
8,524,937 |
210BE1E0 |
|
Pluralsight Building Features from Numeric Data\04.Building Features Using Scaling and Transformations\0404.Demo Using the KBinsDiscretizer to Categorize Numeric Values.mp4
[4ff1888e6e87b967]
|
9,072,404 |
A8E829F5 |
|
Pluralsight Building Features from Numeric Data\04.Building Features Using Scaling and Transformations\0405.Demo Using Bin Values to Flag Outliers.mp4
[992ffcbe7e20cc9f]
|
5,024,598 |
29BB99B4 |
|
Pluralsight Building Features from Numeric Data\04.Building Features Using Scaling and Transformations\0406.Scaling Data .mp4
[f006008715c3efe4]
|
1,867,132 |
3B978CBE |
|
Pluralsight Building Features from Numeric Data\04.Building Features Using Scaling and Transformations\0407.Demo Scaling with the MaxAbsScaler.mp4
[f53f5c9dae9d3122]
|
3,407,140 |
1FA612D1 |
|
Pluralsight Building Features from Numeric Data\04.Building Features Using Scaling and Transformations\0408.Demo Scaling with the MinMaxScaler.mp4
[b95d3c39f16b0765]
|
5,008,124 |
EDA5D4FA |
|
Pluralsight Building Features from Numeric Data\04.Building Features Using Scaling and Transformations\0409.Custom Transformations.mp4
[65075b5eeacb1dd1]
|
670,274 |
11638E3C |
|
Pluralsight Building Features from Numeric Data\04.Building Features Using Scaling and Transformations\0410.Demo Performing Custom Transforms Using the FunctionTransformer.mp4
[d8bd4c873784bded]
|
4,814,267 |
4EE6D61E |
|
Pluralsight Building Features from Numeric Data\04.Building Features Using Scaling and Transformations\0411.Generating Polynomial Features.mp4
[4de9ecc7b5cb9f86]
|
2,733,623 |
781FF91F |
|
Pluralsight Building Features from Numeric Data\04.Building Features Using Scaling and Transformations\0412.Demo Using Polynomial Features to Transform Data.mp4
[881c0b70f9deaf59]
|
10,701,969 |
0BA30359 |
|
Pluralsight Building Features from Numeric Data\04.Building Features Using Scaling and Transformations\0413.Transforming Features to Gaussian-like Distributions Using Power Transformers.mp4
[a760989d4abd56cf]
|
1,839,823 |
83A74EE4 |
|
Pluralsight Building Features from Numeric Data\04.Building Features Using Scaling and Transformations\0414.Demo Working with Chi Squared Distributed Input Features.mp4
[420ded03bda399f5]
|
8,653,925 |
C65C1904 |
|
Pluralsight Building Features from Numeric Data\04.Building Features Using Scaling and Transformations\0415.Demo Applying Power Transformers to Get Normal Distributions.mp4
[6608ea8648c316c8]
|
7,381,557 |
F5D0428D |
|
Pluralsight Building Features from Numeric Data\04.Building Features Using Scaling and Transformations\0416.Transforming Data to Normal or Uniform Distributions Using Quantile Transformers.mp4
[bb647d8e473af709]
|
1,363,654 |
39FFBE90 |
|
Pluralsight Building Features from Numeric Data\04.Building Features Using Scaling and Transformations\0417.Demo Tranforming to a Normal Distribution Using the QuantileTransformer.mp4
[c6bb9c8e80c85cca]
|
6,619,474 |
E785E2B4 |
|
Pluralsight Building Features from Numeric Data\04.Building Features Using Scaling and Transformations\0418.Summary and Further Study .mp4
[1fed21ed7fdcf127]
|
2,638,209 |
0FACDF47 |
|
Pluralsight Building Features from Numeric Data\Exercise Files\building-features-numeric-data.zip |
2,340,772 |
715C58A6 |
|
Pluralsight Building Features from Numeric Data\01.Course Overview |
0 |
00000000 |
|
Pluralsight Building Features from Numeric Data\02.Using Numeric Data in Machine Learning Algorithms |
0 |
00000000 |
|
Pluralsight Building Features from Numeric Data\03.Building Features Using Normalization |
0 |
00000000 |
|
Pluralsight Building Features from Numeric Data\04.Building Features Using Scaling and Transformations |
0 |
00000000 |
|
Pluralsight Building Features from Numeric Data\Exercise Files |
0 |
00000000 |
|
Pluralsight Building Features from Numeric Data |
0 |
00000000 |
|
| Total size: |
228,809,621 |
|
|
