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