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TORRENT DETAILS

[Tutorialsplanet.NET] Udemy - Simulate, Understand, & Visualize Data Like A Data Scientist

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	045cfa8910d59bd3cc18882701fc2c49ed9a6f2d
Size:	431.7 MB in 99 files
Release Date(s):	Torrent Release: 17-10-2019 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

DESCRIPTION

Udemy - Simulate, understand, & visualize data like a data scientist [TP]

Learn how to simulate and visualize data for data science, statistics, and machine learning in MATLAB and Python

For more Udemy Courses: https://tutorialsplanet.net

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FILE LIST

Filename		Size
	1. Introductions/1. Overall goals of this course.mp4	7.8 MB
	1. Introductions/1. Overall goals of this course.vtt	4.6 KB
	1. Introductions/2. Why and how to simulate data.mp4	8.9 MB
	1. Introductions/2. Why and how to simulate data.vtt	6.3 KB
	1. Introductions/3. What is signal and what is noise.mp4	8.4 MB
	1. Introductions/3. What is signal and what is noise.vtt	3.9 KB
	1. Introductions/4. The importance of visualization.mp4	11.4 MB
	1. Introductions/4. The importance of visualization.vtt	8 KB
	10. How to become a proactive data scientist/1. Proactive vs. reactive data science.mp4	6.2 MB
	10. How to become a proactive data scientist/1. Proactive vs. reactive data science.vtt	4.4 KB
	10. How to become a proactive data scientist/2. Understand data origins and features.mp4	5.4 MB
	10. How to become a proactive data scientist/2. Understand data origins and features.vtt	4.4 KB
	10. How to become a proactive data scientist/3. Write down or sketch the important results.mp4	8.6 MB
	10. How to become a proactive data scientist/3. Write down or sketch the important results.vtt	5.2 KB
	10. How to become a proactive data scientist/4. Don't give up -- every mistake is a learning opportunity!.mp4	4.7 MB
	10. How to become a proactive data scientist/4. Don't give up -- every mistake is a learning opportunity!.vtt	2.7 KB
	11. Conclusions and how to learn more/1. Conclusions and how to learn more.mp4	4.9 MB
	11. Conclusions and how to learn more/1. Conclusions and how to learn more.vtt	3.2 KB
	12. Discount coupon for related courses/1. Join the community!.html	553 B
	12. Discount coupon for related courses/2. Bonus Links to related courses.html	2.5 KB
	2. Descriptive statistics and basic visualizations/1. Course materials for this section (reader, MATLAB code, Python code).html	68 B
	2. Descriptive statistics and basic visualizations/1.1 prodata_descriptiveVisualizations.zip.zip	237.3 KB
	2. Descriptive statistics and basic visualizations/2. Mean, median, standard deviation, variance.mp4	12.3 MB
	2. Descriptive statistics and basic visualizations/2. Mean, median, standard deviation, variance.vtt	8.2 KB
	2. Descriptive statistics and basic visualizations/3. Interquartile range.mp4	8.2 MB
	2. Descriptive statistics and basic visualizations/3. Interquartile range.vtt	4.5 KB
	2. Descriptive statistics and basic visualizations/4. Histogram.mp4	6.4 MB
	2. Descriptive statistics and basic visualizations/4. Histogram.vtt	3.9 KB
	2. Descriptive statistics and basic visualizations/5. Violin plot.mp4	8.7 MB
	2. Descriptive statistics and basic visualizations/5. Violin plot.vtt	5.7 KB
	3. Data distributions/1. Course materials for this section (reader, MATLAB code, Python code).html	76 B
	3. Data distributions/1.1 prodata_dataDistributions.zip.zip	305.1 KB
	3. Data distributions/2. Normal and uniform distributions.mp4	14.6 MB
	3. Data distributions/2. Normal and uniform distributions.vtt	8.5 KB
	3. Data distributions/3. QQ plot.mp4	10.9 MB
	3. Data distributions/3. QQ plot.vtt	7.1 KB
	3. Data distributions/4. Poisson distribution.mp4	12.7 MB
	3. Data distributions/4. Poisson distribution.vtt	7 KB
	3. Data distributions/5. Log-normal distribution.mp4	6.3 MB
	3. Data distributions/5. Log-normal distribution.vtt	3.9 KB
	3. Data distributions/6. Measures of distribution quality (SNR and Fano factor).mp4	6.7 MB
	3. Data distributions/6. Measures of distribution quality (SNR and Fano factor).vtt	4.4 KB
	3. Data distributions/7. Cohen's d for separating distributions.mp4	10.7 MB
	3. Data distributions/7. Cohen's d for separating distributions.vtt	6.6 KB
	4. Time series signals/1. Course materials for this section (reader, MATLAB code, Python code).html	66 B
	4. Time series signals/1.1 prodata_TimeSeriesSignals.zip.zip	653.1 KB
	4. Time series signals/2. Sharp transients.mp4	8.9 MB
	4. Time series signals/2. Sharp transients.vtt	5.2 KB
	4. Time series signals/3. Smooth transients.mp4	19.9 MB
	4. Time series signals/3. Smooth transients.vtt	11.7 KB
	4. Time series signals/4. Repeating sine, square, and triangle waves.mp4	8.3 MB
	4. Time series signals/4. Repeating sine, square, and triangle waves.vtt	3.9 KB
	4. Time series signals/5. Multicomponent oscillators.mp4	6.2 MB
	4. Time series signals/5. Multicomponent oscillators.vtt	3.6 KB
	4. Time series signals/6. Dipolar and multipolar chirps.mp4	15.4 MB
	4. Time series signals/6. Dipolar and multipolar chirps.vtt	8.6 KB
	5. Time series noise/1. Course materials for this section (reader, MATLAB code, Python code).html	69 B
	5. Time series noise/1.1 prodata_TimeSeriesNoise.zip.zip	474.1 KB
	5. Time series noise/2. Seeded reproducible normal and uniform noise.mp4	9.6 MB
	5. Time series noise/2. Seeded reproducible normal and uniform noise.vtt	5.2 KB
	5. Time series noise/3. Pink noise (aka 1f aka fractal).mp4	12.1 MB
	5. Time series noise/3. Pink noise (aka 1f aka fractal).vtt	6.5 KB
	5. Time series noise/4. Brownian noise (aka random walk).mp4	8 MB
	5. Time series noise/4. Brownian noise (aka random walk).vtt	4.6 KB
	5. Time series noise/5. Multivariable correlated noise.mp4	13.2 MB
	5. Time series noise/5. Multivariable correlated noise.vtt	7.9 KB
	6. Image signals/1. Course materials for this section (reader, MATLAB code, Python code).html	70 B
	6. Image signals/1.1 prodata_imageSignals.zip.zip	263.6 KB
	6. Image signals/2. Lines and edges.mp4	6.5 MB
	6. Image signals/2. Lines and edges.vtt	3.7 KB
	6. Image signals/3. Sine patches and Gabor patches.mp4	9.2 MB
	6. Image signals/3. Sine patches and Gabor patches.vtt	4.9 KB
	6. Image signals/4. Geometric shapes.mp4	7.3 MB
	6. Image signals/4. Geometric shapes.vtt	3.4 KB
	6. Image signals/5. Rings.mp4	3.8 MB
	6. Image signals/5. Rings.vtt	2.9 KB
	7. Image noise/1. Course materials for this section (reader, MATLAB code, Python code).html	72 B
	7. Image noise/1.1 prodata_imageNoise.zip.zip	654.2 KB
	7. Image noise/2. Image white noise.mp4	5.1 MB
	7. Image noise/2. Image white noise.vtt	2.8 KB
	7. Image noise/3. Checkerboard patterns and noise.mp4	5.2 MB
	7. Image noise/3. Checkerboard patterns and noise.vtt	3.3 KB
	7. Image noise/4. Perlin noise in 2D.mp4	9.9 MB
	7. Image noise/4. Perlin noise in 2D.vtt	4.6 KB
	7. Image noise/5. Filtered 2D-FFT noise.mp4	8.5 MB
	7. Image noise/5. Filtered 2D-FFT noise.vtt	4 KB
	8. Data clustering in space/1. Course materials for this section (reader, MATLAB code, Python code).html	73 B
	8. Data clustering in space/1.1 prodata_dataClusters.zip.zip	279.1 KB
	8. Data clustering in space/2. Clusters in 2D.mp4	10.9 MB
	8. Data clustering in space/2. Clusters in 2D.vtt	6.5 KB
	8. Data clustering in space/3. Clusters in N-D.mp4	8.9 MB
	8. Data clustering in space/3. Clusters in N-D.vtt	2.1 KB
	9. Spatiotemporal structure using forward models/1. Course materials for this section (reader, MATLAB code, Python code).html	116 B
	9. Spatiotemporal structure using forward models/1.1 prodata_forwardModels.zip.zip	4.2 MB
	9. Spatiotemporal structure using forward models/2. Forward model 2D sheet.mp4	31.4 MB
	9. Spatiotemporal structure using forward models/2. Forward model 2D sheet.vtt	9.3 KB
	9. Spatiotemporal structure using forward models/3. Mixed overlapping forward models.mp4	18.4 MB
	9. Spatiotemporal structure using forward models/3. Mixed overlapping forward models.vtt	5 KB
	9. Spatiotemporal structure using forward models/4. Example Simulate human brain (EEG) data.mp4	33.7 MB

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