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[TGx]Downloaded from torrentgalaxy.org.txt |
524б |
1.1 Florida State University’s Florida Climate Center.html |
113б |
1.1 fort_lauderdale.csv a copy of the raw data.html |
161б |
1.2 buy_tickets.py the script for deciding whether to buy plane tickets.html |
146б |
1.2 buy_tickets.py the script for deciding whether to buy plane tickets(1).html |
146б |
1.3 predict_weather.py the weather prediction model.html |
150б |
1.3 predict_weather.py the weather prediction model(1).html |
150б |
1.4 tools.py a couple of tools that might be useful later.html |
140б |
1.4 tools.py a couple of tools that might be useful later(1).html |
140б |
1. Ask a sharp question.mp4 |
49.86Мб |
1. Ask a sharp question.vtt |
4.01Кб |
1. Choose your decision criterion.mp4 |
90.67Мб |
1. Choose your decision criterion.vtt |
7.49Кб |
1. Create seasonal model.mp4 |
66.07Мб |
1. Create seasonal model.vtt |
5.87Кб |
1. How autocorrelation works.mp4 |
49.82Мб |
1. How autocorrelation works.vtt |
12.80Кб |
1. Introduction.mp4 |
85.76Мб |
1. Introduction.vtt |
4.60Кб |
1. What_s next.mp4.mtd |
114.00Мб |
1. What_s next.mp4(1).mtd |
114.00Мб |
2.1 Florida State University’s Florida Climate Center.html |
0б |
2.1 Florida State University’s Florida Climate Center(1).html |
113б |
2.1 Florida State University’s Florida Climate Centerr.html |
113б |
2. Create a Predictor class with tests.mp4 |
63.35Мб |
2. Create a Predictor class with tests.vtt |
4.71Кб |
2. Explore deseasonalized residuals.mp4 |
32.24Мб |
2. Explore deseasonalized residuals.vtt |
3.43Кб |
2. Find the autocorrelation.mp4 |
46.46Мб |
2. Find the autocorrelation.vtt |
5.99Кб |
2. Get weather data.mp4 |
12.62Мб |
2. Get weather data.vtt |
1.77Кб |
3. Create a buy_tickets module to answer the question.mp4 |
51.45Мб |
3. Create a buy_tickets module to answer the question.vtt |
5.07Кб |
3. Inspect the autocorrelation.mp4 |
22.43Мб |
3. Inspect the autocorrelation.vtt |
4.47Кб |
3. Inspect the data.mp4 |
135.48Мб |
3. Inspect the data.vtt |
11.29Кб |
3. Make three-day-out predictions.mp4 |
71.80Мб |
3. Make three-day-out predictions.vtt |
7.34Кб |
4. Build the full model and refactor the code.mp4 |
76.96Мб |
4. Build the full model and refactor the code.vtt |
7.23Кб |
4. Load the data.mp4 |
11.29Мб |
4. Load the data.vtt |
2.38Кб |
4. Write a day-of-year calculator.mp4 |
95.79Мб |
4. Write a day-of-year calculator.vtt |
11.07Кб |
5. Convert the data to lists.mp4 |
42.62Мб |
5. Convert the data to lists.vtt |
6.64Кб |
5. Debug glitch in annual trend.mp4 |
66.80Мб |
5. Debug glitch in annual trend.vtt |
8.00Кб |
6. Replace missing data with NaNs.mp4 |
39.02Мб |
6. Replace missing data with NaNs.vtt |
5.14Кб |
7. Replace NaNs with estimates.mp4 |
46.81Мб |
7. Replace NaNs with estimates.vtt |
6.96Кб |
Discuss.FreeTutorials.Us.html |
165.68Кб |
FreeCoursesOnline.Me.html |
108.30Кб |
FreeTutorials.Eu.html |
102.23Кб |
Presented By SaM.txt |
33б |
Torrent Downloaded From GloDls.to.txt |
84б |