Mastering Time Series Forecasting using Python in Weeks | E7E60A20459705E14FC0D9FC2BCB3B63D930FE43

Mastering Time Series Forecasting using Python in Weeks

Name	Mastering Time Series Forecasting using Python in 3 Weeks	DOWNLOAD Copy Link
Total Size	4.3 GB
Total Files	335
Last Seen	2024-09-06 23:50
Hash	E7E60A20459705E14FC0D9FC2BCB3B63D930FE43

/.../7. Regression for Time Series Forecasting/
6. Forecasting with Confidence Interval and Visualizations in Python.mp4	126.5 MB
6. Forecasting with Confidence Interval and Visualizations in Python.srt	24.8 KB
3. Data Preprocessing in Python.srt	13.9 KB
4. Splitting Data into Training and Testing Sets in Python.srt	7.6 KB
1. Regression with Time.srt	5.4 KB
5. Train Regression Model with Time in Python.srt	3.3 KB
2. Download the Resources.html	0.8 KB
3. Data Preprocessing in Python.mp4	61.7 MB
4. Splitting Data into Training and Testing Sets in Python.mp4	39.9 MB
1. Regression with Time.mp4	18.5 MB
5. Train Regression Model with Time in Python.mp4	17.3 MB
/
TutsNode.com.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/2. Python Essentials/
4. Markdown.srt	24.9 KB
10. List.srt	20.6 KB
1. Download the Resources.html	0.0 KB
6. Escape and Insert keys.srt	13.0 KB
14. Dictionaries.srt	12.7 KB
8. Data Types.srt	3.0 KB
4. Markdown.mp4	123.3 MB
17. User Defined Functions.srt	10.4 KB
1.1 Python.zip	10.2 KB
5. Print Statements.srt	9.2 KB
18. Control Statements (if else).srt	8.7 KB
11. List Methods.srt	7.9 KB
3. Open Jupyter Notebook.srt	7.0 KB
12. Tuple.srt	6.7 KB
20. For Loop.srt	6.0 KB
9. Data Type Casting.srt	5.8 KB
19. Range & Zip.srt	5.7 KB
13. Sets.srt	4.8 KB
7. Variables & Assignments.srt	3.2 KB
2. Install Anaconda Python.srt	4.4 KB
16. concatenate & repeat operator.srt	3.9 KB
15. in operator.srt	3.7 KB
10. List.mp4	89.4 MB
6. Escape and Insert keys.mp4	58.6 MB
14. Dictionaries.mp4	54.7 MB
3. Open Jupyter Notebook.mp4	50.2 MB
5. Print Statements.mp4	37.9 MB
17. User Defined Functions.mp4	37.0 MB
18. Control Statements (if else).mp4	35.7 MB
2. Install Anaconda Python.mp4	35.5 MB
11. List Methods.mp4	34.1 MB
19. Range & Zip.mp4	28.5 MB
20. For Loop.mp4	28.0 MB
12. Tuple.mp4	25.4 MB
9. Data Type Casting.mp4	24.9 MB
13. Sets.mp4	17.4 MB
16. concatenate & repeat operator.mp4	16.2 MB
8. Data Types.mp4	13.4 MB
15. in operator.mp4	12.8 MB
7. Variables & Assignments.mp4	11.8 MB
/.../11. Smoothing Methods (Moving Average)/
10. Weighted Moving Average in Python.srt	18.8 KB
5. Naive Forecasting Model in Python - part 2.srt	14.9 KB
4. Naive Forecasting Model in Python - part 1.srt	13.2 KB
12. Exponential Moving Average in Python.srt	10.9 KB
7. Simple Moving Average in Python.srt	10.3 KB
8. Simple Moving Average order (q) in Python.srt	10.3 KB
11. Exponential Moving Average.srt	5.7 KB
3. Naive Forecasting Model.srt	4.9 KB
10. Weighted Moving Average in Python.mp4	95.0 MB
9. Weighted Moving Average.srt	3.1 KB
6. Simple Moving Average.srt	2.3 KB
1. Smoothing Techniques.srt	1.7 KB
2. Download the Resources.html	0.7 KB
5. Naive Forecasting Model in Python - part 2.mp4	89.0 MB
12. Exponential Moving Average in Python.mp4	80.8 MB
4. Naive Forecasting Model in Python - part 1.mp4	65.1 MB
8. Simple Moving Average order (q) in Python.mp4	64.7 MB
7. Simple Moving Average in Python.mp4	64.7 MB
11. Exponential Moving Average.mp4	24.1 MB
9. Weighted Moving Average.mp4	15.9 MB
3. Naive Forecasting Model.mp4	14.9 MB
6. Simple Moving Average.mp4	11.6 MB
1. Smoothing Techniques.mp4	7.4 MB
/1. Introduction/
3. Download the Resources.html	0.0 KB
2. Time Series Components.srt	4.4 KB
1. What is Time Series Data.srt	3.2 KB
2. Time Series Components.mp4	17.0 MB
1. What is Time Series Data.mp4	11.4 MB
3.1 Time-Series-Analysis-Resources.zip	2.1 MB
/3. Numpy/
15. Arithmetic Operations - part3.srt	18.5 KB
7. Random (Uniform & Gaussian Distribution).srt	12.9 KB
12. Save Arrays in npy, npz and txt.srt	10.9 KB
14. Arithmetic Operations - part2.srt	9.3 KB
10. Beta Random Distribution.srt	9.2 KB
9. Gamma Random Distribution.srt	8.3 KB
1. Arrays.srt	7.6 KB
6. ones & ones_like.srt	2.5 KB
2. Shape, size, ndim.srt	6.6 KB
3. Array Creation - arange.srt	6.4 KB
13. Arithmetic Operations.srt	6.3 KB
11. Generate custom array.srt	5.8 KB
8. Poisson Random Distribution.srt	5.0 KB
5. zeros & zeros_like.srt	3.5 KB
4. linspace.srt	3.3 KB
15. Arithmetic Operations - part3.mp4	72.8 MB
12. Save Arrays in npy, npz and txt.mp4	61.5 MB
7. Random (Uniform & Gaussian Distribution).mp4	60.7 MB
10. Beta Random Distribution.mp4	39.9 MB
14. Arithmetic Operations - part2.mp4	39.2 MB
9. Gamma Random Distribution.mp4	38.2 MB
2. Shape, size, ndim.mp4	35.4 MB
3. Array Creation - arange.mp4	30.5 MB
1. Arrays.mp4	25.2 MB
13. Arithmetic Operations.mp4	22.8 MB
11. Generate custom array.mp4	22.8 MB
8. Poisson Random Distribution.mp4	19.5 MB
4. linspace.mp4	18.6 MB
5. zeros & zeros_like.mp4	17.1 MB
6. ones & ones_like.mp4	12.3 MB
/6. Linear Regression/
6. Simple Linear Regression - Python.srt	15.8 KB
4. EDA - Quantitative Technique.srt	13.0 KB
8. Simple Linear Regression - Statsmodels (Python).srt	12.7 KB
7. Simple Linear Regression - Sklearn (Python).srt	11.2 KB
2. Intuition of Linear Regression.srt	11.1 KB
10. Model Evaluation - Python.srt	10.8 KB
5. EDA - Graphical Technique.srt	8.1 KB
9. Model Evaluation - R^2, ANOVA.srt	6.0 KB
1. Download the Resources.html	1.2 KB
3. Exploratory Data Analysis.srt	2.0 KB
6. Simple Linear Regression - Python.mp4	79.6 MB
8. Simple Linear Regression - Statsmodels (Python).mp4	69.1 MB
4. EDA - Quantitative Technique.mp4	59.4 MB
7. Simple Linear Regression - Sklearn (Python).mp4	56.9 MB
10. Model Evaluation - Python.mp4	53.9 MB
2. Intuition of Linear Regression.mp4	47.9 MB
5. EDA - Graphical Technique.mp4	43.8 MB
9. Model Evaluation - R^2, ANOVA.mp4	19.8 MB
3. Exploratory Data Analysis.mp4	13.6 MB
/.../10. Auto Regressive Methods/
4. Data Preprocessing.srt	14.1 KB
6. Making Data Stationary.srt	6.9 KB
8. Fitted and Forecasting values with AR Model.srt	9.5 KB
5. ACF & PACF.srt	8.9 KB
3. Setting Up for Model Building.srt	8.0 KB
7. Training AR Model.srt	7.3 KB
1. Auto Regressive Methods.srt	5.9 KB
9. AR Model Evaluation.srt	5.2 KB
2. Download the Resources.html	0.7 KB
4. Data Preprocessing.mp4	76.5 MB
8. Fitted and Forecasting values with AR Model.mp4	61.5 MB
5. ACF & PACF.mp4	52.6 MB
3. Setting Up for Model Building.mp4	43.4 MB
6. Making Data Stationary.mp4	43.1 MB
7. Training AR Model.mp4	38.6 MB
9. AR Model Evaluation.mp4	31.7 MB
1. Auto Regressive Methods.mp4	19.7 MB
/.../5. Time Series Visualizations/
9. Proposition and Stacked Bar, Area Chart.srt	13.6 KB
3. Setting up Google Colab.srt	8.4 KB
8. Bar Plot.srt	7.8 KB
6. Hue the Line Chart.srt	7.5 KB
5. Line Chart.srt	7.3 KB
1. Download the Resources.html	0.7 KB
2. Types of Charts for Time Series.srt	1.2 KB
4. Load the Data.srt	4.7 KB
10. Heatmaps.srt	3.9 KB
7. Area Chart.srt	3.4 KB
9. Proposition and Stacked Bar, Area Chart.mp4	72.8 MB
5. Line Chart.mp4	50.1 MB
6. Hue the Line Chart.mp4	42.6 MB
8. Bar Plot.mp4	40.2 MB
3. Setting up Google Colab.mp4	40.0 MB
10. Heatmaps.mp4	29.2 MB
4. Load the Data.mp4	28.5 MB
7. Area Chart.mp4	25.2 MB
2. Types of Charts for Time Series.mp4	16.5 MB
/.../9. Multiplicative Time Series Model/
1. Multiplicative Model.srt	13.3 KB
3. Step-1 Trend Model.srt	10.8 KB
6. Fitted values and Forecasting with Multiplicative Model.srt	9.3 KB
8. Visualizing Forecasted Data.srt	6.2 KB
5. Step-3 Seasonal Corrector Factor.srt	2.9 KB
7. Margin of Error and Confidence Interval.srt	2.2 KB
4. Step-2 Calculate Seasonal Deviation.srt	2.1 KB
2. Download the Resources.html	0.8 KB
6. Fitted values and Forecasting with Multiplicative Model.mp4	62.4 MB
8. Visualizing Forecasted Data.mp4	55.2 MB
3. Step-1 Trend Model.mp4	53.8 MB
1. Multiplicative Model.mp4	45.9 MB
5. Step-3 Seasonal Corrector Factor.mp4	22.7 MB
4. Step-2 Calculate Seasonal Deviation.mp4	16.1 MB
7. Margin of Error and Confidence Interval.mp4	15.7 MB
/.../8. Additive Time Series Model with Statsmodels/
1. Additive Model.srt	12.3 KB
3. Data Analysis in Python.srt	11.0 KB
7. Additive Model Forecasting and Visualizations.srt	8.3 KB
5. Splitting Data into Training and Testing Sets.srt	5.9 KB
4. Creating Seasonal Features.srt	4.5 KB
6. Training Additive Model in Statsmodels.srt	1.2 KB
2. Download the Resources.html	0.8 KB
3. Data Analysis in Python.mp4	62.0 MB
7. Additive Model Forecasting and Visualizations.mp4	45.2 MB
5. Splitting Data into Training and Testing Sets.mp4	45.0 MB
1. Additive Model.mp4	39.1 MB
4. Creating Seasonal Features.mp4	27.1 MB
6. Training Additive Model in Statsmodels.mp4	10.7 MB
/.../12. Non Seasonal ARIMA models/
3. Downloads Data.html	0.0 KB
13. ARIMA.srt	8.7 KB
5. ARMA - Split the Data into train and test sets.srt	6.6 KB
9. ARMA - ACF & PACF , Train ARMA(p,q).srt	6.6 KB
11. ARMA - Visualizing Prediction Results.srt	6.1 KB
4. ARMA - Load Data.srt	5.9 KB
7. ARMA - Augmented Dickey Fuller test for stationary.srt	5.5 KB
12. ARMA - Convert Stationary to Non - Stationary Data.srt	5.0 KB
14. ARIMA Visualize the output.srt	4.2 KB
3.1 us_airline_carrier_passenger.csv	4.1 KB
8. ARMA - Converting Data into Stationary.srt	3.4 KB
6. ARMA - Steps to Build the Models.srt	3.1 KB
10. ARMA - Evaluation.srt	2.8 KB
2. Non Seasonal ARIMA.srt	2.7 KB
1. ARMA.srt	1.7 KB
13. ARIMA.mp4	52.2 MB
11. ARMA - Visualizing Prediction Results.mp4	46.9 MB
9. ARMA - ACF & PACF , Train ARMA(p,q).mp4	40.5 MB
5. ARMA - Split the Data into train and test sets.mp4	40.1 MB
12. ARMA - Convert Stationary to Non - Stationary Data.mp4	36.5 MB
4. ARMA - Load Data.mp4	35.0 MB
7. ARMA - Augmented Dickey Fuller test for stationary.mp4	33.6 MB
14. ARIMA Visualize the output.mp4	32.5 MB
8. ARMA - Converting Data into Stationary.mp4	25.7 MB
6. ARMA - Steps to Build the Models.mp4	16.1 MB
2. Non Seasonal ARIMA.mp4	13.5 MB
10. ARMA - Evaluation.mp4	13.2 MB
1. ARMA.mp4	9.8 MB
/.pad/
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/.../4. Setting Google Colab/
2. Integrate Google Drive to Colab to Load Data.srt	10.2 KB
1. Install Google Colab to your mail id.srt	8.2 KB
2. Integrate Google Drive to Colab to Load Data.mp4	50.4 MB
1. Install Google Colab to your mail id.mp4	31.0 MB
/.../14. Bonus Lecture/
1. Bonus Lecture Next Steps.html	0.7 KB
/.../13. SARIMA, SARIMAX/
1. SARIMA, SARIMAX.html	0.1 KB
Total files 335