|
Обратите внимание, что наш сайт не размещает какие-либо файлы из списка. Вы не можете скачать
эти файлы или скачать torrent-файл.
|
| [TGx]Downloaded from torrentgalaxy.to .txt |
585б |
| 0 |
43б |
| 1 |
16б |
| 1.1 Python.zip |
9.93Кб |
| 1. Additive Model.mp4 |
37.27Мб |
| 1. Additive Model.srt |
12.01Кб |
| 1. ARMA.mp4 |
9.37Мб |
| 1. ARMA.srt |
1.70Кб |
| 1. Arrays.mp4 |
24.01Мб |
| 1. Arrays.srt |
7.39Кб |
| 1. Auto Regressive Methods.mp4 |
18.77Мб |
| 1. Auto Regressive Methods.srt |
5.74Кб |
| 1. Bonus Lecture Next Steps.html |
698б |
| 1. Download the Resources.html |
47б |
| 1. Download the Resources.html |
714б |
| 1. Download the Resources.html |
1.16Кб |
| 1. Install Google Colab to your mail id.mp4 |
29.58Мб |
| 1. Install Google Colab to your mail id.srt |
8.02Кб |
| 1. Multiplicative Model.mp4 |
43.75Мб |
| 1. Multiplicative Model.srt |
13.00Кб |
| 1. Regression with Time.mp4 |
17.65Мб |
| 1. Regression with Time.srt |
5.29Кб |
| 1. SARIMA, SARIMAX.html |
82б |
| 1. Smoothing Techniques.mp4 |
7.01Мб |
| 1. Smoothing Techniques.srt |
1.62Кб |
| 1. What is Time Series Data.mp4 |
10.90Мб |
| 1. What is Time Series Data.srt |
3.08Кб |
| 10 |
130.75Кб |
| 10. ARMA - Evaluation.mp4 |
12.61Мб |
| 10. ARMA - Evaluation.srt |
2.74Кб |
| 10. Beta Random Distribution.mp4 |
38.04Мб |
| 10. Beta Random Distribution.srt |
9.03Кб |
| 10. Heatmaps.mp4 |
27.84Мб |
| 10. Heatmaps.srt |
3.84Кб |
| 10. List.mp4 |
85.24Мб |
| 10. List.srt |
20.10Кб |
| 10. Model Evaluation - Python.mp4 |
51.36Мб |
| 10. Model Evaluation - Python.srt |
10.55Кб |
| 10. Weighted Moving Average in Python.mp4 |
90.58Мб |
| 10. Weighted Moving Average in Python.srt |
18.36Кб |
| 100 |
779.09Кб |
| 101 |
985.26Кб |
| 102 |
101.14Кб |
| 103 |
778.52Кб |
| 104 |
642.20Кб |
| 105 |
1008.66Кб |
| 11 |
934.04Кб |
| 11. ARMA - Visualizing Prediction Results.mp4 |
44.74Мб |
| 11. ARMA - Visualizing Prediction Results.srt |
5.98Кб |
| 11. Exponential Moving Average.mp4 |
22.95Мб |
| 11. Exponential Moving Average.srt |
5.61Кб |
| 11. Generate custom array.mp4 |
21.75Мб |
| 11. Generate custom array.srt |
5.65Кб |
| 11. List Methods.mp4 |
32.55Мб |
| 11. List Methods.srt |
7.67Кб |
| 12 |
315.87Кб |
| 12. ARMA - Convert Stationary to Non - Stationary Data.mp4 |
34.84Мб |
| 12. ARMA - Convert Stationary to Non - Stationary Data.srt |
4.89Кб |
| 12. Exponential Moving Average in Python.mp4 |
77.01Мб |
| 12. Exponential Moving Average in Python.srt |
10.68Кб |
| 12. Save Arrays in npy, npz and txt.mp4 |
58.70Мб |
| 12. Save Arrays in npy, npz and txt.srt |
10.64Кб |
| 12. Tuple.mp4 |
24.18Мб |
| 12. Tuple.srt |
6.54Кб |
| 13 |
336.62Кб |
| 13. ARIMA.mp4 |
49.83Мб |
| 13. ARIMA.srt |
8.46Кб |
| 13. Arithmetic Operations.mp4 |
21.79Мб |
| 13. Arithmetic Operations.srt |
6.11Кб |
| 13. Sets.mp4 |
16.63Мб |
| 13. Sets.srt |
4.66Кб |
| 14 |
467.99Кб |
| 14. ARIMA Visualize the output.mp4 |
31.04Мб |
| 14. ARIMA Visualize the output.srt |
4.08Кб |
| 14. Arithmetic Operations - part2.mp4 |
37.35Мб |
| 14. Arithmetic Operations - part2.srt |
9.08Кб |
| 14. Dictionaries.mp4 |
52.17Мб |
| 14. Dictionaries.srt |
12.38Кб |
| 15 |
905.85Кб |
| 15. Arithmetic Operations - part3.mp4 |
69.38Мб |
| 15. Arithmetic Operations - part3.srt |
18.11Кб |
| 15. in operator.mp4 |
12.17Мб |
| 15. in operator.srt |
3.57Кб |
| 16 |
138.05Кб |
| 16. concatenate & repeat operator.mp4 |
15.46Мб |
| 16. concatenate & repeat operator.srt |
3.84Кб |
| 17 |
310.91Кб |
| 17. User Defined Functions.mp4 |
35.29Мб |
| 17. User Defined Functions.srt |
10.18Кб |
| 18 |
383.45Кб |
| 18. Control Statements (if else).mp4 |
34.00Мб |
| 18. Control Statements (if else).srt |
8.50Кб |
| 19 |
67.03Кб |
| 19. Range & Zip.mp4 |
27.13Мб |
| 19. Range & Zip.srt |
5.56Кб |
| 2 |
340.50Кб |
| 2. Download the Resources.html |
778б |
| 2. Download the Resources.html |
761б |
| 2. Download the Resources.html |
757б |
| 2. Download the Resources.html |
742б |
| 2. Download the Resources.html |
707б |
| 2. Install Anaconda Python.mp4 |
33.89Мб |
| 2. Install Anaconda Python.srt |
4.32Кб |
| 2. Integrate Google Drive to Colab to Load Data.mp4 |
48.08Мб |
| 2. Integrate Google Drive to Colab to Load Data.srt |
9.99Кб |
| 2. Intuition of Linear Regression.mp4 |
45.65Мб |
| 2. Intuition of Linear Regression.srt |
10.83Кб |
| 2. Non Seasonal ARIMA.mp4 |
12.92Мб |
| 2. Non Seasonal ARIMA.srt |
2.59Кб |
| 2. Shape, size, ndim.mp4 |
33.72Мб |
| 2. Shape, size, ndim.srt |
6.47Кб |
| 2. Time Series Components.mp4 |
16.21Мб |
| 2. Time Series Components.srt |
4.31Кб |
| 2. Types of Charts for Time Series.mp4 |
15.71Мб |
| 2. Types of Charts for Time Series.srt |
1.21Кб |
| 20 |
376.49Кб |
| 20. For Loop.mp4 |
26.66Мб |
| 20. For Loop.srt |
5.85Кб |
| 21 |
127.15Кб |
| 22 |
796.56Кб |
| 23 |
318.05Кб |
| 24 |
853.78Кб |
| 25 |
659.60Кб |
| 26 |
681.06Кб |
| 27 |
891.15Кб |
| 28 |
175.37Кб |
| 29 |
945.22Кб |
| 3 |
779.65Кб |
| 3.1 Time-Series-Analysis-Resources.zip |
2.00Мб |
| 3.1 us_airline_carrier_passenger.csv |
4.00Кб |
| 3. Array Creation - arange.mp4 |
29.10Мб |
| 3. Array Creation - arange.srt |
6.25Кб |
| 3. Data Analysis in Python.mp4 |
59.12Мб |
| 3. Data Analysis in Python.srt |
10.71Кб |
| 3. Data Preprocessing in Python.mp4 |
58.87Мб |
| 3. Data Preprocessing in Python.srt |
13.55Кб |
| 3. Downloads Data.html |
24б |
| 3. Download the Resources.html |
29б |
| 3. Exploratory Data Analysis.mp4 |
12.97Мб |
| 3. Exploratory Data Analysis.srt |
1.95Кб |
| 3. Naive Forecasting Model.mp4 |
14.22Мб |
| 3. Naive Forecasting Model.srt |
4.75Кб |
| 3. Open Jupyter Notebook.mp4 |
47.92Мб |
| 3. Open Jupyter Notebook.srt |
6.81Кб |
| 3. Setting Up for Model Building.mp4 |
41.35Мб |
| 3. Setting Up for Model Building.srt |
7.78Кб |
| 3. Setting up Google Colab.mp4 |
38.11Мб |
| 3. Setting up Google Colab.srt |
8.23Кб |
| 3. Step-1 Trend Model.mp4 |
51.33Мб |
| 3. Step-1 Trend Model.srt |
10.57Кб |
| 30 |
85.96Кб |
| 31 |
253.06Кб |
| 32 |
354.05Кб |
| 33 |
270.54Кб |
| 34 |
260.55Кб |
| 35 |
903.87Кб |
| 36 |
130.93Кб |
| 37 |
234.93Кб |
| 38 |
665.18Кб |
| 39 |
959.82Кб |
| 4 |
83.75Кб |
| 4. ARMA - Load Data.mp4 |
33.39Мб |
| 4. ARMA - Load Data.srt |
5.75Кб |
| 4. Creating Seasonal Features.mp4 |
25.88Мб |
| 4. Creating Seasonal Features.srt |
4.37Кб |
| 4. Data Preprocessing.mp4 |
72.98Мб |
| 4. Data Preprocessing.srt |
13.80Кб |
| 4. EDA - Quantitative Technique.mp4 |
56.63Мб |
| 4. EDA - Quantitative Technique.srt |
12.72Кб |
| 4. linspace.mp4 |
17.72Мб |
| 4. linspace.srt |
3.24Кб |
| 4. Load the Data.mp4 |
27.16Мб |
| 4. Load the Data.srt |
4.59Кб |
| 4. Markdown.mp4 |
117.63Мб |
| 4. Markdown.srt |
24.34Кб |
| 4. Naive Forecasting Model in Python - part 1.mp4 |
62.09Мб |
| 4. Naive Forecasting Model in Python - part 1.srt |
12.94Кб |
| 4. Splitting Data into Training and Testing Sets in Python.mp4 |
38.08Мб |
| 4. Splitting Data into Training and Testing Sets in Python.srt |
7.41Кб |
| 4. Step-2 Calculate Seasonal Deviation.mp4 |
15.37Мб |
| 4. Step-2 Calculate Seasonal Deviation.srt |
2.04Кб |
| 40 |
371.31Кб |
| 41 |
398.00Кб |
| 42 |
674.73Кб |
| 43 |
794.96Кб |
| 44 |
911.39Кб |
| 45 |
942.88Кб |
| 46 |
986.70Кб |
| 47 |
663.86Кб |
| 48 |
749.52Кб |
| 49 |
170.25Кб |
| 5 |
1010.53Кб |
| 5. ACF & PACF.mp4 |
50.13Мб |
| 5. ACF & PACF.srt |
8.73Кб |
| 5. ARMA - Split the Data into train and test sets.mp4 |
38.22Мб |
| 5. ARMA - Split the Data into train and test sets.srt |
6.46Кб |
| 5. EDA - Graphical Technique.mp4 |
41.77Мб |
| 5. EDA - Graphical Technique.srt |
7.88Кб |
| 5. Line Chart.mp4 |
47.75Мб |
| 5. Line Chart.srt |
7.16Кб |
| 5. Naive Forecasting Model in Python - part 2.mp4 |
84.92Мб |
| 5. Naive Forecasting Model in Python - part 2.srt |
14.54Кб |
| 5. Print Statements.mp4 |
36.19Мб |
| 5. Print Statements.srt |
8.98Кб |
| 5. Splitting Data into Training and Testing Sets.mp4 |
42.87Мб |
| 5. Splitting Data into Training and Testing Sets.srt |
5.71Кб |
| 5. Step-3 Seasonal Corrector Factor.mp4 |
21.64Мб |
| 5. Step-3 Seasonal Corrector Factor.srt |
2.80Кб |
| 5. Train Regression Model with Time in Python.mp4 |
16.46Мб |
| 5. Train Regression Model with Time in Python.srt |
3.18Кб |
| 5. zeros & zeros_like.mp4 |
16.29Мб |
| 5. zeros & zeros_like.srt |
3.46Кб |
| 50 |
539.32Кб |
| 51 |
828.17Кб |
| 52 |
730.51Кб |
| 53 |
162.05Кб |
| 54 |
1019.32Кб |
| 55 |
113.78Кб |
| 56 |
290.78Кб |
| 57 |
622.19Кб |
| 58 |
464.34Кб |
| 59 |
936.06Кб |
| 6 |
132.99Кб |
| 6. ARMA - Steps to Build the Models.mp4 |
15.36Мб |
| 6. ARMA - Steps to Build the Models.srt |
3.00Кб |
| 6. Escape and Insert keys.mp4 |
55.88Мб |
| 6. Escape and Insert keys.srt |
12.68Кб |
| 6. Fitted values and Forecasting with Multiplicative Model.mp4 |
59.54Мб |
| 6. Fitted values and Forecasting with Multiplicative Model.srt |
9.06Кб |
| 6. Forecasting with Confidence Interval and Visualizations in Python.mp4 |
120.66Мб |
| 6. Forecasting with Confidence Interval and Visualizations in Python.srt |
24.22Кб |
| 6. Hue the Line Chart.mp4 |
40.64Мб |
| 6. Hue the Line Chart.srt |
7.28Кб |
| 6. Making Data Stationary.mp4 |
41.06Мб |
| 6. Making Data Stationary.srt |
6.72Кб |
| 6. ones & ones_like.mp4 |
11.73Мб |
| 6. ones & ones_like.srt |
2.49Кб |
| 6. Simple Linear Regression - Python.mp4 |
75.87Мб |
| 6. Simple Linear Regression - Python.srt |
15.40Кб |
| 6. Simple Moving Average.mp4 |
11.04Мб |
| 6. Simple Moving Average.srt |
2.29Кб |
| 6. Training Additive Model in Statsmodels.mp4 |
10.24Мб |
| 6. Training Additive Model in Statsmodels.srt |
1.17Кб |
| 60 |
984.01Кб |
| 61 |
768.38Кб |
| 62 |
425.07Кб |
| 63 |
917.13Кб |
| 64 |
161.40Кб |
| 65 |
855.58Кб |
| 66 |
886.33Кб |
| 67 |
344.58Кб |
| 68 |
126.46Кб |
| 69 |
524.47Кб |
| 7 |
17.72Кб |
| 7. Additive Model Forecasting and Visualizations.mp4 |
43.12Мб |
| 7. Additive Model Forecasting and Visualizations.srt |
8.07Кб |
| 7. Area Chart.mp4 |
24.05Мб |
| 7. Area Chart.srt |
3.35Кб |
| 7. ARMA - Augmented Dickey Fuller test for stationary.mp4 |
32.09Мб |
| 7. ARMA - Augmented Dickey Fuller test for stationary.srt |
5.41Кб |
| 7. Margin of Error and Confidence Interval.mp4 |
14.99Мб |
| 7. Margin of Error and Confidence Interval.srt |
2.19Кб |
| 7. Random (Uniform & Gaussian Distribution).mp4 |
57.93Мб |
| 7. Random (Uniform & Gaussian Distribution).srt |
12.60Кб |
| 7. Simple Linear Regression - Sklearn (Python).mp4 |
54.22Мб |
| 7. Simple Linear Regression - Sklearn (Python).srt |
10.97Кб |
| 7. Simple Moving Average in Python.mp4 |
61.67Мб |
| 7. Simple Moving Average in Python.srt |
10.01Кб |
| 7. Training AR Model.mp4 |
36.83Мб |
| 7. Training AR Model.srt |
7.14Кб |
| 7. Variables & Assignments.mp4 |
11.24Мб |
| 7. Variables & Assignments.srt |
3.10Кб |
| 70 |
838.34Кб |
| 71 |
969.83Кб |
| 72 |
1015.08Кб |
| 73 |
278.95Кб |
| 74 |
51.98Кб |
| 75 |
216.43Кб |
| 76 |
256.25Кб |
| 77 |
373.29Кб |
| 78 |
83.38Кб |
| 79 |
239.68Кб |
| 8 |
630.62Кб |
| 8. ARMA - Converting Data into Stationary.mp4 |
24.49Мб |
| 8. ARMA - Converting Data into Stationary.srt |
3.35Кб |
| 8. Bar Plot.mp4 |
38.34Мб |
| 8. Bar Plot.srt |
7.60Кб |
| 8. Data Types.mp4 |
12.81Мб |
| 8. Data Types.srt |
2.92Кб |
| 8. Fitted and Forecasting values with AR Model.mp4 |
58.63Мб |
| 8. Fitted and Forecasting values with AR Model.srt |
9.23Кб |
| 8. Poisson Random Distribution.mp4 |
18.63Мб |
| 8. Poisson Random Distribution.srt |
4.86Кб |
| 8. Simple Linear Regression - Statsmodels (Python).mp4 |
65.87Мб |
| 8. Simple Linear Regression - Statsmodels (Python).srt |
12.40Кб |
| 8. Simple Moving Average order (q) in Python.mp4 |
61.69Мб |
| 8. Simple Moving Average order (q) in Python.srt |
10.01Кб |
| 8. Visualizing Forecasted Data.mp4 |
52.69Мб |
| 8. Visualizing Forecasted Data.srt |
6.03Кб |
| 80 |
382.88Кб |
| 81 |
281.73Кб |
| 82 |
358.78Кб |
| 83 |
375.04Кб |
| 84 |
556.34Кб |
| 85 |
730.56Кб |
| 86 |
812.81Кб |
| 87 |
292.86Кб |
| 88 |
555.75Кб |
| 89 |
649.12Кб |
| 9 |
633.30Кб |
| 9. ARMA - ACF & PACF , Train ARMA(p,q).mp4 |
38.61Мб |
| 9. ARMA - ACF & PACF , Train ARMA(p,q).srt |
6.45Кб |
| 9. AR Model Evaluation.mp4 |
30.25Мб |
| 9. AR Model Evaluation.srt |
5.09Кб |
| 9. Data Type Casting.mp4 |
23.73Мб |
| 9. Data Type Casting.srt |
5.67Кб |
| 9. Gamma Random Distribution.mp4 |
36.47Мб |
| 9. Gamma Random Distribution.srt |
8.08Кб |
| 9. Model Evaluation - R^2, ANOVA.mp4 |
18.92Мб |
| 9. Model Evaluation - R^2, ANOVA.srt |
5.83Кб |
| 9. Proposition and Stacked Bar, Area Chart.mp4 |
69.38Мб |
| 9. Proposition and Stacked Bar, Area Chart.srt |
13.23Кб |
| 9. Weighted Moving Average.mp4 |
15.16Мб |
| 9. Weighted Moving Average.srt |
3.06Кб |
| 90 |
657.12Кб |
| 91 |
863.84Кб |
| 92 |
11.15Кб |
| 93 |
793.86Кб |
| 94 |
35.58Кб |
| 95 |
85.43Кб |
| 96 |
197.86Кб |
| 97 |
403.22Кб |
| 98 |
852.20Кб |
| 99 |
272.28Кб |
| TutsNode.com.txt |
63б |