[Tutorialsplanet.NET] Udemy - Simulate, understand, & visualize data like a data scientist torrent, magnet, bt

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[Tutorialsplanet.NET] Udemy - Simulate, understand, & visualize data like a data scientist

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Torrent Hash:

045CFA8910D59BD3CC18882701FC2C49ED9A6F2D

Number of Files:

101

Content Size:

431.66MB

Convert On:

2020-08-27

Keywords:

Tutorialsplanet NET Udemy Simulate understand visualize data like data scientist

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File Name

Size

1. Introductions/1. Overall goals of this course.mp4

7.79MB

1. Introductions/1. Overall goals of this course.vtt

4.63KB

1. Introductions/2. Why and how to simulate data.mp4

8.9MB

1. Introductions/2. Why and how to simulate data.vtt

6.32KB

1. Introductions/3. What is signal and what is noise.mp4

8.45MB

1. Introductions/3. What is signal and what is noise.vtt

3.93KB

1. Introductions/4. The importance of visualization.mp4

11.44MB

1. Introductions/4. The importance of visualization.vtt

8KB

10. How to become a proactive data scientist/1. Proactive vs. reactive data science.mp4

6.23MB

10. How to become a proactive data scientist/1. Proactive vs. reactive data science.vtt

4.42KB

10. How to become a proactive data scientist/2. Understand data origins and features.mp4

5.36MB

10. How to become a proactive data scientist/2. Understand data origins and features.vtt

4.36KB

10. How to become a proactive data scientist/3. Write down or sketch the important results.mp4

8.58MB

10. How to become a proactive data scientist/3. Write down or sketch the important results.vtt

5.16KB

10. How to become a proactive data scientist/4. Don't give up -- every mistake is a learning opportunity!.mp4

4.68MB

10. How to become a proactive data scientist/4. Don't give up -- every mistake is a learning opportunity!.vtt

2.67KB

11. Conclusions and how to learn more/1. Conclusions and how to learn more.mp4

4.92MB

11. Conclusions and how to learn more/1. Conclusions and how to learn more.vtt

3.16KB

12. Discount coupon for related courses/1. Join the community!.html

553B

12. Discount coupon for related courses/2. Bonus Links to related courses.html

2.53KB

2. Descriptive statistics and basic visualizations/1. Course materials for this section (reader, MATLAB code, Python code).html

68B

2. Descriptive statistics and basic visualizations/1.1 prodata_descriptiveVisualizations.zip.zip

237.28KB

2. Descriptive statistics and basic visualizations/2. Mean, median, standard deviation, variance.mp4

12.33MB

2. Descriptive statistics and basic visualizations/2. Mean, median, standard deviation, variance.vtt

8.23KB

2. Descriptive statistics and basic visualizations/3. Interquartile range.mp4

8.25MB

2. Descriptive statistics and basic visualizations/3. Interquartile range.vtt

4.54KB

2. Descriptive statistics and basic visualizations/4. Histogram.mp4

6.39MB

2. Descriptive statistics and basic visualizations/4. Histogram.vtt

3.86KB

2. Descriptive statistics and basic visualizations/5. Violin plot.mp4

8.71MB

2. Descriptive statistics and basic visualizations/5. Violin plot.vtt

5.65KB

3. Data distributions/1. Course materials for this section (reader, MATLAB code, Python code).html

76B

3. Data distributions/1.1 prodata_dataDistributions.zip.zip

305.14KB

3. Data distributions/2. Normal and uniform distributions.mp4

14.6MB

3. Data distributions/2. Normal and uniform distributions.vtt

8.53KB

3. Data distributions/3. QQ plot.mp4

10.85MB

3. Data distributions/3. QQ plot.vtt

7.15KB

3. Data distributions/4. Poisson distribution.mp4

12.75MB

3. Data distributions/4. Poisson distribution.vtt

7.01KB

3. Data distributions/5. Log-normal distribution.mp4

6.34MB

3. Data distributions/5. Log-normal distribution.vtt

3.87KB

3. Data distributions/6. Measures of distribution quality (SNR and Fano factor).mp4

6.67MB

3. Data distributions/6. Measures of distribution quality (SNR and Fano factor).vtt

4.43KB

3. Data distributions/7. Cohen's d for separating distributions.mp4

10.69MB

3. Data distributions/7. Cohen's d for separating distributions.vtt

6.59KB

4. Time series signals/1. Course materials for this section (reader, MATLAB code, Python code).html

66B

4. Time series signals/1.1 prodata_TimeSeriesSignals.zip.zip

653.05KB

4. Time series signals/2. Sharp transients.mp4

8.87MB

4. Time series signals/2. Sharp transients.vtt

5.18KB

4. Time series signals/3. Smooth transients.mp4

19.86MB

4. Time series signals/3. Smooth transients.vtt

11.75KB

4. Time series signals/4. Repeating sine, square, and triangle waves.mp4

8.31MB

4. Time series signals/4. Repeating sine, square, and triangle waves.vtt

3.92KB

4. Time series signals/5. Multicomponent oscillators.mp4

6.21MB

4. Time series signals/5. Multicomponent oscillators.vtt

3.61KB

4. Time series signals/6. Dipolar and multipolar chirps.mp4

15.43MB

4. Time series signals/6. Dipolar and multipolar chirps.vtt

8.58KB

5. Time series noise/1. Course materials for this section (reader, MATLAB code, Python code).html

69B

5. Time series noise/1.1 prodata_TimeSeriesNoise.zip.zip

474.12KB

5. Time series noise/2. Seeded reproducible normal and uniform noise.mp4

9.59MB

5. Time series noise/2. Seeded reproducible normal and uniform noise.vtt

5.24KB

5. Time series noise/3. Pink noise (aka 1f aka fractal).mp4

12.12MB

5. Time series noise/3. Pink noise (aka 1f aka fractal).vtt

6.53KB

5. Time series noise/4. Brownian noise (aka random walk).mp4

8.04MB

5. Time series noise/4. Brownian noise (aka random walk).vtt

4.59KB

5. Time series noise/5. Multivariable correlated noise.mp4

13.22MB

5. Time series noise/5. Multivariable correlated noise.vtt

7.91KB

6. Image signals/1. Course materials for this section (reader, MATLAB code, Python code).html

70B

6. Image signals/1.1 prodata_imageSignals.zip.zip

263.57KB

6. Image signals/2. Lines and edges.mp4

6.51MB

6. Image signals/2. Lines and edges.vtt

3.74KB

6. Image signals/3. Sine patches and Gabor patches.mp4

9.18MB

6. Image signals/3. Sine patches and Gabor patches.vtt

4.85KB

6. Image signals/4. Geometric shapes.mp4

7.3MB

6. Image signals/4. Geometric shapes.vtt

3.38KB

6. Image signals/5. Rings.mp4

3.82MB

6. Image signals/5. Rings.vtt

2.88KB

7. Image noise/1. Course materials for this section (reader, MATLAB code, Python code).html

72B

7. Image noise/1.1 prodata_imageNoise.zip.zip

654.15KB

7. Image noise/2. Image white noise.mp4

5.06MB

7. Image noise/2. Image white noise.vtt

2.8KB

7. Image noise/3. Checkerboard patterns and noise.mp4

5.15MB

7. Image noise/3. Checkerboard patterns and noise.vtt

3.27KB

7. Image noise/4. Perlin noise in 2D.mp4

9.93MB

7. Image noise/4. Perlin noise in 2D.vtt

4.63KB

7. Image noise/5. Filtered 2D-FFT noise.mp4

8.48MB

7. Image noise/5. Filtered 2D-FFT noise.vtt

3.97KB

8. Data clustering in space/1. Course materials for this section (reader, MATLAB code, Python code).html

73B

8. Data clustering in space/1.1 prodata_dataClusters.zip.zip

279.1KB

8. Data clustering in space/2. Clusters in 2D.mp4

10.93MB

8. Data clustering in space/2. Clusters in 2D.vtt

6.55KB

8. Data clustering in space/3. Clusters in N-D.mp4

8.95MB

8. Data clustering in space/3. Clusters in N-D.vtt

2.05KB

9. Spatiotemporal structure using forward models/1. Course materials for this section (reader, MATLAB code, Python code).html

116B

9. Spatiotemporal structure using forward models/1.1 prodata_forwardModels.zip.zip

4.19MB

9. Spatiotemporal structure using forward models/2. Forward model 2D sheet.mp4

31.41MB

9. Spatiotemporal structure using forward models/2. Forward model 2D sheet.vtt

9.29KB

9. Spatiotemporal structure using forward models/3. Mixed overlapping forward models.mp4

18.41MB

9. Spatiotemporal structure using forward models/3. Mixed overlapping forward models.vtt

4.99KB

9. Spatiotemporal structure using forward models/4. Example Simulate human brain (EEG) data.mp4

33.73MB

9. Spatiotemporal structure using forward models/4. Example Simulate human brain (EEG) data.vtt

15.49KB

[Tutorialsplanet.NET].url

128B

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