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Udemy - Generate and visualize data in Python and MATLAB [GC]

Torrent Info
Category Other
Added Friday 2nd June 2023 04:37:02 AM (3 years ago)
Size2.2 GB
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Torrent Files (93)
FilenameSize
1. Introductions/1. Following along in Python, MATLAB, or Octave.mp445.5 MB
1. Introductions/1. Following along in Python, MATLAB, or Octave.srt9.1 KB
1. Introductions/2. Overall goals of this course.mp429.8 MB
1. Introductions/2. Overall goals of this course.srt6.2 KB
1. Introductions/3. Why and how to simulate data.mp424.8 MB
1. Introductions/3. Why and how to simulate data.srt7.2 KB
1. Introductions/4. What is signal and what is noise.mp426.0 MB
1. Introductions/4. What is signal and what is noise.srt4.3 KB
1. Introductions/5. The importance of visualization.mp432.4 MB
1. Introductions/5. The importance of visualization.srt9.5 KB
10. Bonus section/1. Bonus lecture.html2.7 KB
2. Descriptive statistics and basic visualizations/1. Course materials for this section (reader, MATLAB code, Python code).html68 bytes
2. Descriptive statistics and basic visualizations/1.1 genvisdata_descriptives.zip230.1 KB
2. Descriptive statistics and basic visualizations/2. Mean, median, standard deviation, variance.mp472.9 MB
2. Descriptive statistics and basic visualizations/2. Mean, median, standard deviation, variance.srt21.3 KB
2. Descriptive statistics and basic visualizations/3. Histogram.mp434.3 MB
2. Descriptive statistics and basic visualizations/3. Histogram.srt9.0 KB
2. Descriptive statistics and basic visualizations/4. Interquartile range.mp450.9 MB
2. Descriptive statistics and basic visualizations/4. Interquartile range.srt10.4 KB
2. Descriptive statistics and basic visualizations/5. Violin plot.mp438.6 MB
2. Descriptive statistics and basic visualizations/5. Violin plot.srt11.1 KB
3. Data distributions/1. Course materials for this section (reader, MATLAB code, Python code).html76 bytes
3. Data distributions/1.1 genvisdata_distributions.zip199.2 KB
3. Data distributions/2. Normal and uniform distributions.mp482.8 MB
3. Data distributions/2. Normal and uniform distributions.srt20.4 KB
3. Data distributions/3. QQ plot.mp436.7 MB
3. Data distributions/3. QQ plot.srt11.8 KB
3. Data distributions/4. Poisson distribution.mp471.7 MB
3. Data distributions/4. Poisson distribution.srt15.9 KB
3. Data distributions/5. Log-normal distribution.mp440.9 MB
3. Data distributions/5. Log-normal distribution.srt10.4 KB
3. Data distributions/6. Measures of distribution quality (SNR and Fano factor).mp438.9 MB
3. Data distributions/6. Measures of distribution quality (SNR and Fano factor).srt11.6 KB
3. Data distributions/7. Cohen's d for separating distributions.mp452.1 MB
3. Data distributions/7. Cohen's d for separating distributions.srt12.7 KB
4. Time series signals/1. Course materials for this section (reader, MATLAB code, Python code).html66 bytes
4. Time series signals/1.1 genvisdata_timeSeriesSignals.zip152.5 KB
4. Time series signals/2. Sharp transients.mp465.9 MB
4. Time series signals/2. Sharp transients.srt15.3 KB
4. Time series signals/3. Smooth transients.mp4108.3 MB
4. Time series signals/3. Smooth transients.srt25.2 KB
4. Time series signals/4. Repeating sine, square, and triangle waves.mp470.1 MB
4. Time series signals/4. Repeating sine, square, and triangle waves.srt13.6 KB
4. Time series signals/5. Multicomponent oscillators.mp433.8 MB
4. Time series signals/5. Multicomponent oscillators.srt7.6 KB
4. Time series signals/6. Dipolar and multipolar chirps.mp4110.3 MB
4. Time series signals/6. Dipolar and multipolar chirps.srt22.3 KB
5. Time series noise/1. Course materials for this section (reader, MATLAB code, Python code).html69 bytes
5. Time series noise/1.1 genvisdata_timeSeriesNoise.zip162.7 KB
5. Time series noise/2. Seeded reproducible normal and uniform noise.mp461.6 MB
5. Time series noise/2. Seeded reproducible normal and uniform noise.srt12.2 KB
5. Time series noise/3. Pink noise (aka 1f aka fractal).mp493.1 MB
5. Time series noise/3. Pink noise (aka 1f aka fractal).srt18.9 KB
5. Time series noise/4. Brownian noise (aka random walk).mp457.3 MB
5. Time series noise/4. Brownian noise (aka random walk).srt14.2 KB
5. Time series noise/5. Multivariable correlated noise.mp465.2 MB
5. Time series noise/5. Multivariable correlated noise.srt15.3 KB
6. Image signals/1. Course materials for this section (reader, MATLAB code, Python code).html70 bytes
6. Image signals/1.1 genvisdata_imageSignals.zip150.4 KB
6. Image signals/2. Lines and edges.mp454.8 MB
6. Image signals/2. Lines and edges.srt13.7 KB
6. Image signals/3. Sine patches and Gabor patches.mp486.0 MB
6. Image signals/3. Sine patches and Gabor patches.srt16.9 KB
6. Image signals/4. Geometric shapes.mp467.0 MB
6. Image signals/4. Geometric shapes.srt15.8 KB
6. Image signals/5. Rings.mp455.0 MB
6. Image signals/5. Rings.srt14.0 KB
7. Image noise/1. Course materials for this section (reader, MATLAB code, Python code).html72 bytes
7. Image noise/1.1 genvisdata_imageNoise.zip310.8 KB
7. Image noise/2. Image white noise.mp467.9 MB
7. Image noise/2. Image white noise.srt12.5 KB
7. Image noise/3. Checkerboard patterns and noise.mp448.8 MB
7. Image noise/3. Checkerboard patterns and noise.srt12.5 KB
7. Image noise/4. Perlin noise in 2D.mp456.4 MB
7. Image noise/4. Perlin noise in 2D.srt11.3 KB
7. Image noise/5. Filtered 2D-FFT noise.mp451.1 MB
7. Image noise/5. Filtered 2D-FFT noise.srt9.3 KB
8. Data clustering in space/1. Course materials for this section (reader, MATLAB code, Python code).html73 bytes
8. Data clustering in space/1.1 genvisdata_dataClusters.zip131.3 KB
8. Data clustering in space/2. Clusters in 2D.mp482.7 MB
8. Data clustering in space/2. Clusters in 2D.srt18.5 KB
8. Data clustering in space/3. Clusters in N-D.mp435.1 MB
8. Data clustering in space/3. Clusters in N-D.srt6.1 KB
9. Spatiotemporal structure using forward models/1. Course materials for this section (reader, MATLAB code, Python code).html116 bytes
9. Spatiotemporal structure using forward models/1.1 genvisdata_forwardModels.zip4.0 MB
9. Spatiotemporal structure using forward models/2. Forward model 2D sheet.mp487.6 MB
9. Spatiotemporal structure using forward models/2. Forward model 2D sheet.srt16.4 KB
9. Spatiotemporal structure using forward models/3. Mixed overlapping forward models.mp490.1 MB
9. Spatiotemporal structure using forward models/3. Mixed overlapping forward models.srt13.4 KB
9. Spatiotemporal structure using forward models/4. Example Simulate human brain (EEG) data.mp4122.5 MB
9. Spatiotemporal structure using forward models/4. Example Simulate human brain (EEG) data.srt21.8 KB
Readme.txt962 bytes
[GigaCourse.com].url49 bytes
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