TorBT - Torrents and Magnet Links Search Engine

[GigaCourse.com] Udemy - Generate and visualize data in Python and MATLAB

File Name
Size
1. Introductions/1. Following along in Python, MATLAB, or Octave.mp4
46 MB
1. Introductions/1. Following along in Python, MATLAB, or Octave.srt
9.1 kB
1. Introductions/2. Overall goals of this course.mp4
30 MB
1. Introductions/2. Overall goals of this course.srt
6.2 kB
1. Introductions/3. Why and how to simulate data.mp4
25 MB
1. Introductions/3. Why and how to simulate data.srt
7.2 kB
1. Introductions/4. What is signal and what is noise.mp4
26 MB
1. Introductions/4. What is signal and what is noise.srt
4.3 kB
1. Introductions/5. The importance of visualization.mp4
32 MB
1. Introductions/5. The importance of visualization.srt
9.5 kB
10. Bonus section/1. Bonus lecture.html
2.7 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 genvisdata_descriptives.zip
230 kB
2. Descriptive statistics and basic visualizations/2. Mean, median, standard deviation, variance.mp4
73 MB
2. Descriptive statistics and basic visualizations/2. Mean, median, standard deviation, variance.srt
21 kB
2. Descriptive statistics and basic visualizations/3. Histogram.mp4
34 MB
2. Descriptive statistics and basic visualizations/3. Histogram.srt
9.0 kB
2. Descriptive statistics and basic visualizations/4. Interquartile range.mp4
51 MB
2. Descriptive statistics and basic visualizations/4. Interquartile range.srt
10 kB
2. Descriptive statistics and basic visualizations/5. Violin plot.mp4
39 MB
2. Descriptive statistics and basic visualizations/5. Violin plot.srt
11 kB
3. Data distributions/1. Course materials for this section (reader, MATLAB code, Python code).html
76 B
3. Data distributions/1.1 genvisdata_distributions.zip
199 kB
3. Data distributions/2. Normal and uniform distributions.mp4
83 MB
3. Data distributions/2. Normal and uniform distributions.srt
20 kB
3. Data distributions/3. QQ plot.mp4
37 MB
3. Data distributions/3. QQ plot.srt
12 kB
3. Data distributions/4. Poisson distribution.mp4
72 MB
3. Data distributions/4. Poisson distribution.srt
16 kB
3. Data distributions/5. Log-normal distribution.mp4
41 MB
3. Data distributions/5. Log-normal distribution.srt
10 kB
3. Data distributions/6. Measures of distribution quality (SNR and Fano factor).mp4
39 MB
3. Data distributions/6. Measures of distribution quality (SNR and Fano factor).srt
12 kB
3. Data distributions/7. Cohen's d for separating distributions.mp4
52 MB
3. Data distributions/7. Cohen's d for separating distributions.srt
13 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 genvisdata_timeSeriesSignals.zip
152 kB
4. Time series signals/2. Sharp transients.mp4
66 MB
4. Time series signals/2. Sharp transients.srt
15 kB
4. Time series signals/3. Smooth transients.mp4
108 MB
4. Time series signals/3. Smooth transients.srt
25 kB
4. Time series signals/4. Repeating sine, square, and triangle waves.mp4
70 MB
4. Time series signals/4. Repeating sine, square, and triangle waves.srt
14 kB
4. Time series signals/5. Multicomponent oscillators.mp4
34 MB
4. Time series signals/5. Multicomponent oscillators.srt
7.6 kB
4. Time series signals/6. Dipolar and multipolar chirps.mp4
110 MB
4. Time series signals/6. Dipolar and multipolar chirps.srt
22 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 genvisdata_timeSeriesNoise.zip
163 kB
5. Time series noise/2. Seeded reproducible normal and uniform noise.mp4
62 MB
5. Time series noise/2. Seeded reproducible normal and uniform noise.srt
12 kB
5. Time series noise/3. Pink noise (aka 1f aka fractal).mp4
93 MB
5. Time series noise/3. Pink noise (aka 1f aka fractal).srt
19 kB
5. Time series noise/4. Brownian noise (aka random walk).mp4
57 MB
5. Time series noise/4. Brownian noise (aka random walk).srt
14 kB
5. Time series noise/5. Multivariable correlated noise.mp4
65 MB
5. Time series noise/5. Multivariable correlated noise.srt
15 kB
6. Image signals/1. Course materials for this section (reader, MATLAB code, Python code).html
70 B
6. Image signals/1.1 genvisdata_imageSignals.zip
150 kB
6. Image signals/2. Lines and edges.mp4
55 MB
6. Image signals/2. Lines and edges.srt
14 kB
6. Image signals/3. Sine patches and Gabor patches.mp4
86 MB
6. Image signals/3. Sine patches and Gabor patches.srt
17 kB
6. Image signals/4. Geometric shapes.mp4
67 MB
6. Image signals/4. Geometric shapes.srt
16 kB
6. Image signals/5. Rings.mp4
55 MB
6. Image signals/5. Rings.srt
14 kB
7. Image noise/1. Course materials for this section (reader, MATLAB code, Python code).html
72 B
7. Image noise/1.1 genvisdata_imageNoise.zip
311 kB
7. Image noise/2. Image white noise.mp4
68 MB
7. Image noise/2. Image white noise.srt
12 kB
7. Image noise/3. Checkerboard patterns and noise.mp4
49 MB
7. Image noise/3. Checkerboard patterns and noise.srt
12 kB
7. Image noise/4. Perlin noise in 2D.mp4
56 MB
7. Image noise/4. Perlin noise in 2D.srt
11 kB
7. Image noise/5. Filtered 2D-FFT noise.mp4
51 MB
7. Image noise/5. Filtered 2D-FFT noise.srt
9.3 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 genvisdata_dataClusters.zip
131 kB
8. Data clustering in space/2. Clusters in 2D.mp4
83 MB
8. Data clustering in space/2. Clusters in 2D.srt
18 kB
8. Data clustering in space/3. Clusters in N-D.mp4
35 MB
8. Data clustering in space/3. Clusters in N-D.srt
6.1 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 genvisdata_forwardModels.zip
4.0 MB
9. Spatiotemporal structure using forward models/2. Forward model 2D sheet.mp4
88 MB
9. Spatiotemporal structure using forward models/2. Forward model 2D sheet.srt
16 kB
9. Spatiotemporal structure using forward models/3. Mixed overlapping forward models.mp4
90 MB
9. Spatiotemporal structure using forward models/3. Mixed overlapping forward models.srt
13 kB
9. Spatiotemporal structure using forward models/4. Example Simulate human brain (EEG) data.mp4
122 MB
9. Spatiotemporal structure using forward models/4. Example Simulate human brain (EEG) data.srt
22 kB
Readme.txt
962 B
[GigaCourse.com].url
49 B