Udemy - Master Time Series Analysis and Forecasting with Python 2024

14 Views | 0 Comments | Posted in: Tutorials
20
October
2024
Udemy - Master Time Series Analysis and Forecasting with Python 2024
3.14 GB | 00:21:56 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English



Files Included :
001 Course Introduction (78.16 MB)
003 Course Material (43.64 MB)
001 Game Plan (17.62 MB)
002 Why Forecasting (15.4 MB)
003 Time Series Data and Case Study Briefing (18.52 MB)
004 Python - Set Working Directory (17.1 MB)
005 Python - Importing Libraries (5.1 MB)
006 Python - Loading Data (26.67 MB)
007 Python - Forming Data Set (50.69 MB)
008 Python - Renaming Dependent Variable (13.53 MB)
009 Python - Index Frequency (14.4 MB)
010 Python - Visualization (19.79 MB)
001 Game Plan (22.87 MB)
002 Seasonal Decomposition (17.97 MB)
003 Prepare Script (28.67 MB)
004 Multiplicative and Additive seasonality (15.55 MB)
005 Python - Seasonal Decomposition (45.47 MB)
006 Error Modelling and Stock Data (15.54 MB)
007 Python - Seasonality graphs (24.13 MB)
001 Game Plan (15.91 MB)
002 Training and Test Set (7.87 MB)
003 Python - Prepare Script (20.48 MB)
004 Python - Training and Test Set (20.85 MB)
005 Exponential Smoothing and Holt-Winters (12.56 MB)
006 Python - Holt-Winters (26.51 MB)
007 Python - Predictions (14.74 MB)
008 Python - Visualization (21.62 MB)
009 Assessing Time Series Models (16.13 MB)
010 Python - MAE and RSME (23.78 MB)
011 Python - MAPE function (17.79 MB)
012 Python - Exporting Forecasts (15.66 MB)
013 Python - Preparing Master Script (34.47 MB)
014 Pros, Cons and Challenge (41.41 MB)
015 Python - Challenge Solutions (61.79 MB)
001 Game Plan (19.28 MB)
002 TBATS introduction (6.1 MB)
003 Python - Prepare Script and Install Package (22.07 MB)
004 Autoregressive and Moving Average components (12.49 MB)
005 Trigonometric Seasonality and Box Cox (10.99 MB)
006 Python - TBATS model (19.13 MB)
007 Python - Predictions and Plotting (24.92 MB)
008 Python - Accuracy Assessment and Exporting (15.71 MB)
009 Pros, Cons and Challenge (37.57 MB)
010 Python - Challenge Solutions (62.47 MB)
001 Game Plan (14.19 MB)
002 ARIMA and ARMA recap (9.68 MB)
003 Python - Prepare Script (18.72 MB)
004 Stationarity (17.94 MB)
005 Python - Augmented Dickey Fuller Test (17.61 MB)
006 Exogenous Variables (10.47 MB)
007 Python - Isolating Regressors (14.32 MB)
008 Optimizing factors in ARIMA and SARIMA (12.29 MB)
009 AIC and BIC (8.84 MB)
010 Python - SARIMAX model (34.71 MB)
011 Python - Model Summary and Predictions (29.39 MB)
012 Python - Visualization, Assessment and Exporting (25.02 MB)
013 Pros, Cons and Challenge (25.95 MB)
014 Python - Challenge Solutions (106.31 MB)
001 Game Plan (12.59 MB)
002 Structural Time Series (6.07 MB)
003 Python - Prepare Script (19.39 MB)
004 TensorFlow Structural Time Series (4.01 MB)
005 Python - Regressors (32.12 MB)
006 Python - Isolate Dependent Variable (8.8 MB)
007 Python - Weekly Seasonality (27.43 MB)
008 Python - Monthly Seasonality (29.11 MB)
009 Python - Trend and Autoregressive Terms (20.07 MB)
010 Python - TensorFlow Model (28.62 MB)
011 Monte Carlo and Bayes Theorem (14.69 MB)
012 Python - Fitting Model (30.23 MB)
013 Python - Forecasting (21.17 MB)
014 Python - Formatting Predictions (21.14 MB)
015 Python - Visualization, Assessment and Exporting (21.09 MB)
016 Pros, Cons and Challenge (27.69 MB)
017 Python - Challenge Solutions (142.88 MB)
001 Game Plan (21.4 MB)
002 Facebook Prophet Introduction (15.23 MB)
003 Python - Importing Libraries and Data (23.26 MB)
004 Python - Transforming Date Variable (12.2 MB)
005 Python - Renaming Variables (13.96 MB)
006 Dynamic Holidays (6.1 MB)
007 Python - holidays (28.55 MB)
008 Python - Removing Variable and Training Set (12.83 MB)
009 Facebook Prophet Components (5.79 MB)
010 Python - Prophet model (55.99 MB)
011 Python - Future Dataframe (32.3 MB)
012 Python - Forecasting (26.08 MB)
013 Python - Visualization (31.93 MB)
014 Python - Model Assessment (12.53 MB)
015 Cross-Validation (3.26 MB)
016 Python - Cross-Validation (15.95 MB)
017 Python - Cross-Validation results (35.46 MB)
018 Parameters to be tuned (2.8 MB)
019 Python - Parameter Grid (28.74 MB)
020 Python - Hyperparameter Tuning (75.34 MB)
021 Python - Getting Best Parameters (17.6 MB)
022 Python - Final Prophet Model (58.61 MB)
023 Pros, Cons and Challenge (57.66 MB)
024 Python - Challenge Solutions (116.38 MB)
001 Game Plan (13.77 MB)
002 Prophet + XGBoost step by step (4.27 MB)
003 Python - Prepare Script (50.25 MB)
004 XGBoost (25.73 MB)
005 Python - Extracting Prophet Variables (45.16 MB)
006 Python - Training and Test Set (12.72 MB)
007 Python - Isolate X and Y (14.39 MB)
008 XGBoost Matrices (11.51 MB)
009 XGBoost Quirks and Parameters (12.27 MB)
010 Python - Setting Parameters (18.89 MB)
011 Python - XGBoost Model (30.54 MB)
012 Python - Forecasting (17.14 MB)
013 Python - Visualization (21.6 MB)
014 Python - Assessment and Export (15.23 MB)
015 Pros, Cons and Challenge (43.16 MB)
016 Python - Challenge Solutions (105.66 MB)
001 Game Plan (17.25 MB)
002 Why Ensemble (14.33 MB)
003 Python - Prepare Script (38.23 MB)
004 Python - Loading Predictions (44.63 MB)
005 Python - Ensemble Forecast (18.25 MB)
006 Python - Visualization and Assessment (41 MB)
007 Pros and Cons (4.32 MB)
[center]
Screenshot


[/center]
Note:
Only Registed user can add comment, view hidden links and more, please register now
At 0dayhome.net, you'll find a vast collection of educational and informative tutorials to help you enhance your skills and knowledge in various fields. Our tutorials section serves as a valuable resource for beginners and experts alike, providing step-by-step guides, tips, and tricks on subjects such as technology, design, programming, photography, and much more. Whether you're looking to expand your professional repertoire or simply indulge in a new hobby, 0dayhome.net has got you covered. Why choose 0dayhome.net for all your tutorial needs? Here are a few reasons: Diverse Topics: Our platform offers a diverse range of tutorials, catering to various interests and skill levels. From learning the basics of coding to mastering advanced graphic design techniques, our tutorials cover it all. Easy-to-Follow Guides: We understand the importance of clear and concise instructions. Our tutorials are meticulously crafted with simplicity in mind, allowing you to easily grasp complex concepts and apply your newfound knowledge. Comprehensive Content: Whether you're a beginner seeking introductory tutorials or an expert looking for advanced techniques, our comprehensive collection has tutorials for every level of expertise. Take your skills to the next level with 0dayhome.net . Regular Updates: We frequently update our tutorials section, ensuring that you have access to the latest trends and techniques in your chosen field. Stay ahead of the curve and expand your knowledge with our up-to-date content. Community Engagement: Join our thriving community of learners and experts to connect, share insights, and seek guidance. Interact with fellow enthusiasts, exchange ideas, and strengthen your skills through collaboration. Free Access: Yes, you read it right! 0dayhome.net offers free access to its tutorials section. Learn and grow without any financial constraints. So, whether you're an aspiring programmer, a budding designer, or simply curious about exploring new subjects, 0dayhome.net tutorials are your go-to resource. Visit our website today and embark on a journey of continuous learning and improvement.
все шаблоны для dle на сайте шаблоны dle 11.2 скачать