Udemy- Mastering Time Series Forecasting using Python in 3 Weeks
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Description
Welcome to Mastering Time Series Forecasting using Python in Python
Time series analysis and forecasting is one of the areas of Data Science and has a wide variety of applications in the industries in the current world. Many industries looking for a Data Scientist with these skills. This course covers all types of modeling techniques for forecasting and analysis.
We start with programming in Python which is the essential skill required and then we will exploring the fundamental time series theory to help you understand the modeling that comes afterward.
Then throughout the course, we will work with a number of Python libraries, providing you with complete training. We will use the powerful time-series functionality built into pandas, as well as other fundamental libraries such as NumPy, matplotlib, statsmodels, Sklearn, and ARCH.
With these tools we will master the most widely used models out there:
– Additive Model
– Multiplicative Model
· AR (autoregressive model)
· Simple Moving Average
– Weighted Moving Average
– Exponential Moving Average
· ARMA (autoregressive-moving-average model)
· ARIMA (autoregressive integrated moving average model)
—————– Coming Soon————————–
. SARIMA (seasonal autoregressive integrated moving average model)
. SARIMAX (seasonal autoregressive integrated moving average model with exogenous variables)
We know that time series is one of those topics that always leaves some doubts.
Until now.
This course is exactly what you need to comprehend the time series once and for all. Not only that, but you will also get a ton of additional materials – notebooks files, course notes – everything is included.
Who this course is for:
Anyone who are interested to do time series analysis and forecasting
Want to do advanced real time forecasting
Requirements
Basics knowledge in Statistics
Basic understand on Python
Should have Gmail Account and should able to open Google Drive
Last Updated 3/2021
| [TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/7. Regression for Time Series Forecasting/6. Forecasting with Confidence Interval and Visualizations in Python.mp4 | 120.66 MiB |
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| [TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/2. Python Essentials/10. List.srt | 20.1 KiB |
| [TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/11. Smoothing Methods (Moving Average)/10. Weighted Moving Average in Python.srt | 18.36 KiB |
| [TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/1. Introduction/3. Download the Resources.html | 29 B |
| [TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/3. Numpy/15. Arithmetic Operations - part3.srt | 18.11 KiB |
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| [TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/6. Linear Regression/6. Simple Linear Regression - Python.srt | 15.4 KiB |
| [TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/11. Smoothing Methods (Moving Average)/5. Naive Forecasting Model in Python - part 2.srt | 14.54 KiB |
| [TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/10. Auto Regressive Methods/4. Data Preprocessing.srt | 13.8 KiB |
| [TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/7. Regression for Time Series Forecasting/3. Data Preprocessing in Python.srt | 13.55 KiB |
| [TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/5. Time Series Visualizations/9. Proposition and Stacked Bar, Area Chart.srt | 13.23 KiB |
| [TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/9. Multiplicative Time Series Model/1. Multiplicative Model.srt | 13 KiB |
| [TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/11. Smoothing Methods (Moving Average)/4. Naive Forecasting Model in Python - part 1.srt | 12.94 KiB |
| [TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/6. Linear Regression/4. EDA - Quantitative Technique.srt | 12.72 KiB |
| [TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/2. Python Essentials/6. Escape and Insert keys.srt | 12.68 KiB |
| [TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/3. Numpy/7. Random (Uniform & Gaussian Distribution).srt | 12.6 KiB |
| [TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/6. Linear Regression/8. Simple Linear Regression - Statsmodels (Python).srt | 12.4 KiB |
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| [TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/9. Multiplicative Time Series Model/3. Step-1 Trend Model.srt | 10.57 KiB |
| [TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/10. Auto Regressive Methods/6. Making Data Stationary.srt | 6.72 KiB |
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| [TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/2. Python Essentials/3. Open Jupyter Notebook.srt | 6.81 KiB |
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| [TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/12. Non Seasonal ARIMA models/5. ARMA - Split the Data into train and test sets.srt | 6.46 KiB |
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| [TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/3. Numpy/3. Array Creation - arange.srt | 6.25 KiB |
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