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5. Handling Special events like Holiday sales/3. Excel Including the impact of Special Events.mp4 215.2 MB
9. Appendix 1 Excel crash course/7. Formatting data and tables.mp4 167.0 MB
3. Getting Data Ready for Regression Model/5. Discriptive Data Analytics in Excel.mp4 161.0 MB
9. Appendix 1 Excel crash course/6. Data Tools.mp4 134.2 MB
7. Handling Changing Trend & Seasonality over time/2. Excel Winter's method.mp4 132.9 MB
6. Identifying Seasonality & Trend for Forecasting/6. Excel Moving Average Method.mp4 125.6 MB
5. Handling Special events like Holiday sales/2. Excel Running Linear Regression using Solver.mp4 117.1 MB
9. Appendix 1 Excel crash course/1. Mathematical Formulas.mp4 114.8 MB
9. Appendix 1 Excel crash course/2. Textual Formulas.mp4 114.4 MB
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4. Forecasting using Regression Model/3. Assessing accuracy of predicted coefficients.mp4 109.5 MB
3. Getting Data Ready for Regression Model/14. Creating Correlation Matrix in Excel.mp4 107.1 MB
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4. Forecasting using Regression Model/9. Creating Multiple Linear Regression model.mp4 102.3 MB
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3. Getting Data Ready for Regression Model/13. Correlation Analysis.mp4 84.0 MB
2. Basics of Forecasting/3. Creating Linear Model with Trendlines.mp4 82.8 MB
3. Getting Data Ready for Regression Model/3. The Data and the Data Dictionary.mp4 82.4 MB
9. Appendix 1 Excel crash course/3. Logical Formulas.mp4 81.5 MB
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[TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/10. Auto Regressive Methods/4. Data Preprocessing.mp4 76.5 MB
[TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/3. Numpy/15. Arithmetic Operations - part3.mp4 72.8 MB
[TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/5. Time Series Visualizations/9. Proposition and Stacked Bar, Area Chart.mp4 72.8 MB
[TutsNode.com] - Mastering Time Series Forecasting using Python in 3 Weeks/6. Linear Regression/8. Simple Linear Regression - Statsmodels (Python).mp4 69.1 MB
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【影视】 Regression, Data Mining, Text Mining, Forecasting using R [UDEMY]

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15-forecasting-data-driven-approaches/164-forecasting-autocorrelation-model.mp4 86.1 MB
15-forecasting-data-driven-approaches/170-forecast-seasonal-indexescentered-moving-average-hands-on.mp4 66.2 MB
14-forecasting-model-based-approaches/161-forecasting-methods-additive-seasonality-with-trendmultiplicative-seasonality.mp4 65.4 MB
12-text-mining-using-r/141-corpus-level-word-cloud.mp4 62.3 MB
13-forecasting-using-xl-miner/147-forecasting-introduction-and-agenda-for-introduction.mp4 62.2 MB
14-forecasting-model-based-approaches/160-forecasting-methodsexponential-quadratic-and-additive-seasonality-models.mp4 62.1 MB
13-forecasting-using-xl-miner/155-exploratory-data-analysis-using-walmart-footfalls-example-part1.mp4 61.7 MB
13-forecasting-using-xl-miner/152-forecastingdata-exploration-visualization.mp4 51.5 MB
02-basic-statistics/017-data-visualization-using-rbarplothistogramskewness.mp4 51.3 MB
06-basics-of-rprogramming/063-r-programming-case-study-part-3.mp4 49.7 MB
01-introduction-to-data-science/003-big-data-and-getting-drenched-in-data.mp4 47.8 MB
07-predictive-analytics/084-understanding-logistic-regression-concepts.mp4 47.3 MB
12-text-mining-using-r/142-brief-case-study-on-real-project-part-1.mp4 47.0 MB
07-predictive-analytics/075-simple-linear-regression-using-r-part-1.mp4 46.3 MB
12-text-mining-using-r/143-brief-case-study-on-real-project-part-2.mp4 45.7 MB
14-forecasting-model-based-approaches/159-forecasting-methodslinear-model.mp4 44.6 MB
06-basics-of-rprogramming/067-case-study-on-data-visualization-using-r-part-1.mp4 44.3 MB
09-dimension-reduction/119-pca-preliminaries-and-weights.mp4 42.7 MB
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04 ARIMA/005 ARIMA in Code.mp4 127.5 MB
12 Effective Learning Strategies for Machine Learning FAQ/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
04 ARIMA/015 Auto ARIMA in Code (Stocks).mp4 110.3 MB
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06 Deep Learning_ Artificial Neural Networks (ANN)/005 Activation Functions.mp4 90.7 MB
05 Machine Learning Methods/009 Machine Learning for Time Series Forecasting in Code (pt 1).mp4 90.4 MB
12 Effective Learning Strategies for Machine Learning FAQ/003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
07 Deep Learning_ Convolutional Neural Networks (CNN)/002 What is Convolution_.mp4 82.1 MB
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06 Deep Learning_ Artificial Neural Networks (ANN)/008 Feedforward ANN for Time Series Forecasting Code.mp4 74.4 MB
03 Exponential Smoothing and ETS Methods/008 SES Code.mp4 72.9 MB
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05 Machine Learning Methods/002 Supervised Machine Learning_ Classification and Regression.mp4 72.3 MB
02 Time Series Basics/011 Random Walks and the Random Walk Hypothesis.mp4 71.4 MB
06 Deep Learning_ Artificial Neural Networks (ANN)/009 Feedforward ANN for Stock Return and Price Predictions Code.mp4 71.0 MB
06 Deep Learning_ Artificial Neural Networks (ANN)/013 Human Activity Recognition_ Multi-Input ANN.mp4 70.8 MB
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05 - Handling Special events like Holiday sales/003 Excel_ Including the impact of Special Events.mp4 215.2 MB
09 - Appendix 1_ Excel crash course/007 Formatting data and tables.mp4 167.0 MB
03 - Getting Data Ready for Regression Model/005 Discriptive Data Analytics in Excel.mp4 161.0 MB
09 - Appendix 1_ Excel crash course/006 Data Tools.mp4 134.2 MB
07 - Handling Changing Trend & Seasonality over time/002 Excel_ Winter's method.mp4 132.9 MB
06 - Identifying Seasonality & Trend for Forecasting/005 Excel_ Moving Average Method.mp4 125.6 MB
05 - Handling Special events like Holiday sales/002 Excel_ Running Linear Regression using Solver.mp4 117.1 MB
09 - Appendix 1_ Excel crash course/001 Mathematical Formulas.mp4 114.8 MB
09 - Appendix 1_ Excel crash course/002 Textual Formulas.mp4 114.4 MB
03 - Getting Data Ready for Regression Model/012 Dummy Variable Creation in Excel.mp4 113.2 MB
04 - Forecasting using Regression Model/003 Assessing accuracy of predicted coefficients.mp4 109.5 MB
03 - Getting Data Ready for Regression Model/014 Creating Correlation Matrix in Excel.mp4 107.1 MB
08 - Forecasting models for New Products/005 Excel_ Implementing Bass Diffusion Model.mp4 106.5 MB
04 - Forecasting using Regression Model/009 Creating Multiple Linear Regression model.mp4 102.3 MB
06 - Identifying Seasonality & Trend for Forecasting/002 Excel_ Additive model to identify Trend & Seasonality.mp4 94.0 MB
03 - Getting Data Ready for Regression Model/013 Correlation Analysis.mp4 84.0 MB
02 - Basics of Forecasting/004 Creating Linear Model with Trendlines.mp4 82.8 MB
03 - Getting Data Ready for Regression Model/003 The Data and the Data Dictionary.mp4 82.4 MB
09 - Appendix 1_ Excel crash course/003 Logical Formulas.mp4 81.5 MB
09 - Appendix 1_ Excel crash course/008 Pivot Tables.mp4 76.7 MB

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【影视】 [ TutGator.com ] Udemy - Budgeting and Forecasting Best Practices during Uncertainty

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~Get Your Files Here !/008 Alternatives to Traditional Annual Budgeting Excercise.mp4 34.0 MB
~Get Your Files Here !/005 Best Practice - Keys aspects of Strategic Budgeting.mp4 26.2 MB
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~Get Your Files Here !/007 5 Principals of business planning during uncertainty.mp4 14.9 MB
~Get Your Files Here !/004 Best Practice 2 - Budgeting for Strategic Success.mp4 14.8 MB
~Get Your Files Here !/002 Causes for Uncertainty in budget and forecasting.mp4 11.2 MB
~Get Your Files Here !/001 Introduction to the course.mp4 7.3 MB
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~Get Your Files Here !/006 How often and how far we should do the forecasting and budgeting_en.vtt 7.6 kB
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~Get Your Files Here !/005 Best Practice - Keys aspects of Strategic Budgeting_en.vtt 6.1 kB
~Get Your Files Here !/002 Causes for Uncertainty in budget and forecasting_en.vtt 5.4 kB
~Get Your Files Here !/004 Best Practice 2 - Budgeting for Strategic Success_en.vtt 4.7 kB
~Get Your Files Here !/003 Best Practice 1- Change the purpose of Budgeting_en.vtt 4.4 kB
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04 ARIMA/005 ARIMA in Code.mp4 127.5 MB
12 Effective Learning Strategies for Machine Learning FAQ/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
04 ARIMA/015 Auto ARIMA in Code (Stocks).mp4 110.3 MB
04 ARIMA/014 Auto ARIMA in Code.mp4 108.2 MB
07 Deep Learning_ Convolutional Neural Networks (CNN)/007 CNN Architecture.mp4 101.5 MB
08 VIP_ AWS Forecast/005 Code pt 2 (Uploading the data to S3).mp4 95.5 MB
06 Deep Learning_ Artificial Neural Networks (ANN)/005 Activation Functions.mp4 90.7 MB
05 Machine Learning Methods/009 Machine Learning for Time Series Forecasting in Code (pt 1).mp4 90.4 MB
12 Effective Learning Strategies for Machine Learning FAQ/003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
07 Deep Learning_ Convolutional Neural Networks (CNN)/002 What is Convolution_.mp4 82.1 MB
07 Deep Learning_ Convolutional Neural Networks (CNN)/005 Convolution on Color Images.mp4 77.6 MB
06 Deep Learning_ Artificial Neural Networks (ANN)/008 Feedforward ANN for Time Series Forecasting Code.mp4 74.4 MB
03 Exponential Smoothing and ETS Methods/008 SES Code.mp4 72.9 MB
11 Extra Help With Python Coding for Beginners FAQ/003 Proof that using Jupyter Notebook is the same as not using it.mp4 72.9 MB
05 Machine Learning Methods/002 Supervised Machine Learning_ Classification and Regression.mp4 72.3 MB
02 Time Series Basics/011 Random Walks and the Random Walk Hypothesis.mp4 71.4 MB
06 Deep Learning_ Artificial Neural Networks (ANN)/009 Feedforward ANN for Stock Return and Price Predictions Code.mp4 71.0 MB
06 Deep Learning_ Artificial Neural Networks (ANN)/013 Human Activity Recognition_ Multi-Input ANN.mp4 70.8 MB
04 ARIMA/017 Auto ARIMA in Code (Sales Data).mp4 68.6 MB
05 Machine Learning Methods/008 Extrapolation and Stock Prices.mp4 67.9 MB

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