Mastering Time Series Forecasting using Python in 3 Weeks


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Torrent File Content (335 files)


Mastering Time Series Forecasting using Python in 3 Weeks
    [TutsNode.com] - 7. Regression for Time Series Forecasting
          [TutsNode.com] - 7. Regression for Time Series Forecasting/6. Forecasting with Confidence Interval and Visualizations in Python.mp4 -
120.66 MB

     TutsNode.com.txt -
63 bytes

    [TutsNode.com] - 2. Python Essentials
          [TutsNode.com] - 2. Python Essentials/4. Markdown.srt -
24.34 KB

    [TutsNode.com] - 7. Regression for Time Series Forecasting
          [TutsNode.com] - 7. Regression for Time Series Forecasting/6. Forecasting with Confidence Interval and Visualizations in Python.srt -
24.22 KB

    [TutsNode.com] - 2. Python Essentials
          [TutsNode.com] - 2. Python Essentials/10. List.srt -
20.1 KB

    [TutsNode.com] - 11. Smoothing Methods (Moving Average)
          [TutsNode.com] - 11. Smoothing Methods (Moving Average)/10. Weighted Moving Average in Python.srt -
18.36 KB

    [TutsNode.com] - 1. Introduction
          [TutsNode.com] - 1. Introduction/3. Download the Resources.html -
29 bytes

    [TutsNode.com] - 3. Numpy
          [TutsNode.com] - 3. Numpy/15. Arithmetic Operations - part3.srt -
18.11 KB

    [TutsNode.com] - 2. Python Essentials
          [TutsNode.com] - 2. Python Essentials/1. Download the Resources.html -
47 bytes

    [TutsNode.com] - 6. Linear Regression
          [TutsNode.com] - 6. Linear Regression/6. Simple Linear Regression - Python.srt -
15.4 KB

    [TutsNode.com] - 11. Smoothing Methods (Moving Average)
          [TutsNode.com] - 11. Smoothing Methods (Moving Average)/5. Naive Forecasting Model in Python - part 2.srt -
14.54 KB

    [TutsNode.com] - 10. Auto Regressive Methods
          [TutsNode.com] - 10. Auto Regressive Methods/4. Data Preprocessing.srt -
13.8 KB

    [TutsNode.com] - 7. Regression for Time Series Forecasting
          [TutsNode.com] - 7. Regression for Time Series Forecasting/3. Data Preprocessing in Python.srt -
13.55 KB

    [TutsNode.com] - 5. Time Series Visualizations
          [TutsNode.com] - 5. Time Series Visualizations/9. Proposition and Stacked Bar, Area Chart.srt -
13.23 KB

    [TutsNode.com] - 9. Multiplicative Time Series Model
          [TutsNode.com] - 9. Multiplicative Time Series Model/1. Multiplicative Model.srt -
13 KB

    [TutsNode.com] - 11. Smoothing Methods (Moving Average)
          [TutsNode.com] - 11. Smoothing Methods (Moving Average)/4. Naive Forecasting Model in Python - part 1.srt -
12.94 KB

    [TutsNode.com] - 6. Linear Regression
          [TutsNode.com] - 6. Linear Regression/4. EDA - Quantitative Technique.srt -
12.72 KB

    [TutsNode.com] - 2. Python Essentials
          [TutsNode.com] - 2. Python Essentials/6. Escape and Insert keys.srt -
12.68 KB

    [TutsNode.com] - 3. Numpy
          [TutsNode.com] - 3. Numpy/7. Random (Uniform & Gaussian Distribution).srt -
12.6 KB

    [TutsNode.com] - 6. Linear Regression
          [TutsNode.com] - 6. Linear Regression/8. Simple Linear Regression - Statsmodels (Python).srt -
12.4 KB

    [TutsNode.com] - 2. Python Essentials
          [TutsNode.com] - 2. Python Essentials/14. Dictionaries.srt -
12.38 KB

    [TutsNode.com] - 8. Additive Time Series Model with Statsmodels
          [TutsNode.com] - 8. Additive Time Series Model with Statsmodels/1. Additive Model.srt -
12.01 KB

    [TutsNode.com] - 6. Linear Regression
          [TutsNode.com] - 6. Linear Regression/7. Simple Linear Regression - Sklearn (Python).srt -
10.97 KB

    [TutsNode.com] - 2. Python Essentials
          [TutsNode.com] - 2. Python Essentials/8. Data Types.srt -
2.92 KB

    [TutsNode.com] - 6. Linear Regression
          [TutsNode.com] - 6. Linear Regression/2. Intuition of Linear Regression.srt -
10.83 KB

    [TutsNode.com] - 8. Additive Time Series Model with Statsmodels
          [TutsNode.com] - 8. Additive Time Series Model with Statsmodels/3. Data Analysis in Python.srt -
10.71 KB

    [TutsNode.com] - 11. Smoothing Methods (Moving Average)
          [TutsNode.com] - 11. Smoothing Methods (Moving Average)/12. Exponential Moving Average in Python.srt -
10.68 KB

    [TutsNode.com] - 3. Numpy
          [TutsNode.com] - 3. Numpy/12. Save Arrays in npy, npz and txt.srt -
10.64 KB

    [TutsNode.com] - 9. Multiplicative Time Series Model
          [TutsNode.com] - 9. Multiplicative Time Series Model/3. Step-1 Trend Model.srt -
10.57 KB

    [TutsNode.com] - 10. Auto Regressive Methods
          [TutsNode.com] - 10. Auto Regressive Methods/6. Making Data Stationary.srt -
6.72 KB

    [TutsNode.com] - 12. Non Seasonal ARIMA models
          [TutsNode.com] - 12. Non Seasonal ARIMA models/3. Downloads Data.html -
24 bytes

    .pad
          0 -
43 bytes

    [TutsNode.com] - 2. Python Essentials
          [TutsNode.com] - 2. Python Essentials/4. Markdown.mp4 -
117.63 MB

    [TutsNode.com] - 6. Linear Regression
          [TutsNode.com] - 6. Linear Regression/10. Model Evaluation - Python.srt -
10.55 KB

    [TutsNode.com] - 2. Python Essentials
          [TutsNode.com] - 2. Python Essentials/17. User Defined Functions.srt -
10.18 KB

    [TutsNode.com] - 11. Smoothing Methods (Moving Average)
          [TutsNode.com] - 11. Smoothing Methods (Moving Average)/7. Simple Moving Average in Python.srt -
10.01 KB

          [TutsNode.com] - 11. Smoothing Methods (Moving Average)/8. Simple Moving Average order (q) in Python.srt -
10.01 KB

    [TutsNode.com] - 4. Setting Google Colab
          [TutsNode.com] - 4. Setting Google Colab/2. Integrate Google Drive to Colab to Load Data.srt -
9.99 KB

    [TutsNode.com] - 2. Python Essentials
          [TutsNode.com] - 2. Python Essentials/1.1 Python.zip -
9.93 KB

    [TutsNode.com] - 10. Auto Regressive Methods
          [TutsNode.com] - 10. Auto Regressive Methods/8. Fitted and Forecasting values with AR Model.srt -
9.23 KB

    [TutsNode.com] - 3. Numpy
          [TutsNode.com] - 3. Numpy/14. Arithmetic Operations - part2.srt -
9.08 KB

    [TutsNode.com] - 9. Multiplicative Time Series Model
          [TutsNode.com] - 9. Multiplicative Time Series Model/6. Fitted values and Forecasting with Multiplicative Model.srt -
9.06 KB

    [TutsNode.com] - 3. Numpy
          [TutsNode.com] - 3. Numpy/10. Beta Random Distribution.srt -
9.03 KB

    [TutsNode.com] - 2. Python Essentials
          [TutsNode.com] - 2. Python Essentials/5. Print Statements.srt -
8.98 KB

    [TutsNode.com] - 10. Auto Regressive Methods
          [TutsNode.com] - 10. Auto Regressive Methods/5. ACF & PACF.srt -
8.73 KB

    [TutsNode.com] - 2. Python Essentials
          [TutsNode.com] - 2. Python Essentials/18. Control Statements (if else).srt -
8.5 KB

    [TutsNode.com] - 12. Non Seasonal ARIMA models
          [TutsNode.com] - 12. Non Seasonal ARIMA models/13. ARIMA.srt -
8.46 KB

    [TutsNode.com] - 5. Time Series Visualizations
          [TutsNode.com] - 5. Time Series Visualizations/3. Setting up Google Colab.srt -
8.23 KB

    [TutsNode.com] - 3. Numpy
          [TutsNode.com] - 3. Numpy/9. Gamma Random Distribution.srt -
8.08 KB

    [TutsNode.com] - 8. Additive Time Series Model with Statsmodels
          [TutsNode.com] - 8. Additive Time Series Model with Statsmodels/7. Additive Model Forecasting and Visualizations.srt -
8.07 KB

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