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Coursera Machine Learning for Trading Specialization DevCourseWeb

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Added Thursday 28th September 2023 03:33:55 PM (3 years ago)
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Torrent Files (315)
FilenameSize
Get Bonus Downloads Here.url182 bytes
Bonus Resources.txt386 bytes
01_supervised-learning-and-regression_instructions.html2.5 KB
02_python-skills-assessment-quiz_quiz.html6.4 KB
03_class-overview-who-these-courses-are-for.en.srt3.3 KB
03_class-overview-who-these-courses-are-for.en.txt1.8 KB
03_class-overview-who-these-courses-are-for.mp48.1 MB
01_why-google.en.srt2.6 KB
01_why-google.en.txt1.3 KB
01_why-google.mp45.1 MB
02_why-google-cloud-platform.en.srt3.7 KB
02_why-google-cloud-platform.en.txt1.9 KB
02_why-google-cloud-platform.mp46.9 MB
04_google-cloud_quiz.html1.3 KB
01_what-is-forecasting-part-1.en.srt8.2 KB
01_what-is-forecasting-part-1.en.txt4.3 KB
01_what-is-forecasting-part-1.mp410.6 MB
02_what-is-forecasting-part-2.en.srt5.3 KB
02_what-is-forecasting-part-2.en.txt3.5 KB
02_what-is-forecasting-part-2.mp46.8 MB
03_choosing-the-right-model-and-bqml-part-1.en.srt5.3 KB
03_choosing-the-right-model-and-bqml-part-1.en.txt2.8 KB
03_choosing-the-right-model-and-bqml-part-1.mp44.3 MB
04_choosing-the-right-model-and-bqml-part-2.en.srt3.4 KB
04_choosing-the-right-model-and-bqml-part-2.en.txt1.8 KB
04_choosing-the-right-model-and-bqml-part-2.mp43.0 MB
05_forecasting_quiz.html2.9 KB
06_lab-intro-forecasting-stock-prices-using-regression-in-bqml.mp42.9 MB
01_what-is-a-time-series.en.srt11.4 KB
01_what-is-a-time-series.en.txt5.9 KB
01_what-is-a-time-series.mp412.0 MB
02_ar-auto-regressive.en.srt10.9 KB
02_ar-auto-regressive.en.txt5.7 KB
02_ar-auto-regressive.mp48.9 MB
03_ma-moving-average.en.srt3.4 KB
03_ma-moving-average.en.txt2.1 KB
03_ma-moving-average.mp43.6 MB
04_the-complete-arima-model.en.srt4.6 KB
04_the-complete-arima-model.en.txt2.9 KB
04_the-complete-arima-model.mp45.3 MB
01_arima-compared-to-linear-regression.en.srt10.2 KB
01_arima-compared-to-linear-regression.en.txt6.5 KB
01_arima-compared-to-linear-regression.mp417.9 MB
02_how-can-you-get-a-variety-of-models-from-just-a-single-series.en.srt2.2 KB
02_how-can-you-get-a-variety-of-models-from-just-a-single-series.en.txt1.4 KB
02_how-can-you-get-a-variety-of-models-from-just-a-single-series.mp42.6 MB
03_how-to-choose-arima-parameters-for-your-trading-model.en.srt6.5 KB
03_how-to-choose-arima-parameters-for-your-trading-model.en.txt3.4 KB
03_how-to-choose-arima-parameters-for-your-trading-model.mp45.7 MB
04_time-series-terminology-auto-correlation.en.srt6.6 KB
04_time-series-terminology-auto-correlation.en.txt3.6 KB
04_time-series-terminology-auto-correlation.mp45.5 MB
05_sensitivity-of-trading-strategy.en.srt7.0 KB
05_sensitivity-of-trading-strategy.en.txt3.7 KB
05_sensitivity-of-trading-strategy.mp47.6 MB
06_time-series_quiz.html4.0 KB
07_lab-intro-forecasting-stock-prices-using-arima.en.srt719 bytes
07_lab-intro-forecasting-stock-prices-using-arima.en.txt389 bytes
07_lab-intro-forecasting-stock-prices-using-arima.mp42.4 MB
08_lab-walkthrough-forecasting-stock-prices-using-arima.en.srt10.1 KB
08_lab-walkthrough-forecasting-stock-prices-using-arima.en.txt5.4 KB
08_lab-walkthrough-forecasting-stock-prices-using-arima.mp415.5 MB
01_short-history-of-ml-neural-networks.en.srt14.8 KB
01_short-history-of-ml-neural-networks.en.txt7.7 KB
01_short-history-of-ml-neural-networks.mp424.7 MB
02_short-history-of-ml-modern-neural-networks.en.srt15.4 KB
02_short-history-of-ml-modern-neural-networks.en.txt8.3 KB
02_short-history-of-ml-modern-neural-networks.mp426.9 MB
03_example-bigquery-ml-dnn-code_instructions.html1.7 KB
03_example-bigquery-ml-dnn-code_predict_taxi_bigqueryml.md159.0 KB
01_overfitting-and-underfitting.en.srt11.4 KB
01_overfitting-and-underfitting.en.txt6.1 KB
01_overfitting-and-underfitting.mp427.1 MB
02_validation-and-training-data-splits.en.srt9.9 KB
02_validation-and-training-data-splits.en.txt5.3 KB
02_validation-and-training-data-splits.mp422.6 MB
03_model-generalization_quiz.html1.8 KB
01_recap-quiz_exam.html3.2 KB
02_course-recap-preview-of-next-course.en.srt3.0 KB
02_course-recap-preview-of-next-course.en.txt1.6 KB
02_course-recap-preview-of-next-course.mp49.1 MB
01__Arbitrage_Trading_Strategies.pdf1002.6 KB
01__Course_Overview.pdf962.1 KB
01__Exogenous_vs_Endogenous_Data.pdf639.0 KB
01__Forecasting_Fundamentals.pdf2.8 MB
01__Introduction_to_Backtesting.pdf690.1 KB
01__Introduction_to_Quantitative_Trading.pdf858.9 KB
01__Time_Series_Modeling.pdf2.6 MB
01__Time_Series_Modeling_II.pdf1.0 MB
01__resources.html2.3 KB
01_introduction-to-course.en.srt12.1 KB
01_introduction-to-course.en.txt6.4 KB
01_introduction-to-course.mp49.0 MB
02_basic-trading-strategy-building-a-trading-model.mp411.0 MB
03_advanced-concepts-in-trading-strategies.en.srt9.8 KB
03_advanced-concepts-in-trading-strategies.en.txt5.2 KB
03_advanced-concepts-in-trading-strategies.mp416.3 MB
01_overview.en.srt2.6 KB
01_overview.en.txt1.4 KB
01_overview.mp42.6 MB
02_introduction-to-tensorflow.en.srt11.4 KB
02_introduction-to-tensorflow.en.txt6.0 KB
02_introduction-to-tensorflow.mp415.3 MB
03_tensorflow-api-hierarchy.en.srt7.7 KB
03_tensorflow-api-hierarchy.en.txt4.1 KB
03_tensorflow-api-hierarchy.mp410.0 MB
04_components-of-tensorflow-tensors-and-variables.en.srt13.8 KB
04_components-of-tensorflow-tensors-and-variables.en.txt7.1 KB
04_components-of-tensorflow-tensors-and-variables.mp413.3 MB
05_getting-started-with-google-cloud-platform-and-qwiklabs.en.srt5.0 KB
05_getting-started-with-google-cloud-platform-and-qwiklabs.en.txt3.0 KB
05_getting-started-with-google-cloud-platform-and-qwiklabs.mp48.0 MB
06_lab-intro-writing-low-level-tensorflow-programs.en.srt1.2 KB
06_lab-intro-writing-low-level-tensorflow-programs.en.txt702 bytes
06_lab-intro-writing-low-level-tensorflow-programs.mp41.3 MB
07_working-in-memory-and-with-files.en.srt5.8 KB
07_working-in-memory-and-with-files.en.txt3.2 KB
07_working-in-memory-and-with-files.mp48.7 MB
08_training-on-large-datasets-with-tf-data-api.en.srt7.9 KB
08_training-on-large-datasets-with-tf-data-api.en.txt4.3 KB
08_training-on-large-datasets-with-tf-data-api.mp410.7 MB
09_getting-the-data-ready-for-model-training.en.srt10.9 KB
09_getting-the-data-ready-for-model-training.en.txt5.7 KB
09_getting-the-data-ready-for-model-training.mp413.8 MB
10_embeddings.en.srt14.9 KB
10_embeddings.en.txt7.9 KB
10_embeddings.mp421.5 MB
11_lab-intro-manipulating-data-with-tensorflow-dataset-api.en.srt935 bytes
11_lab-intro-manipulating-data-with-tensorflow-dataset-api.en.txt605 bytes
11_lab-intro-manipulating-data-with-tensorflow-dataset-api.mp4966.0 KB
01_overview.en.srt1008 bytes
01_overview.en.txt542 bytes
01_overview.mp42.2 MB
02_activation-functions.en.srt14.7 KB
02_activation-functions.en.txt7.6 KB
02_activation-functions.mp417.9 MB
05_serving-models-in-the-cloud.en.srt4.4 KB
05_serving-models-in-the-cloud.en.txt2.8 KB
05_serving-models-in-the-cloud.mp45.2 MB
06_lab-intro-keras-sequential-api.mp4616.9 KB
08_regularization-the-basics.en.srt7.1 KB
08_regularization-the-basics.en.txt4.5 KB
08_regularization-the-basics.mp48.4 MB
10_regularization-dropout.en.srt9.0 KB
10_regularization-dropout.en.txt4.7 KB
10_regularization-dropout.mp49.0 MB
11_lab-intro-keras-functional-api.mp42.8 MB
12_recap.en.srt1.4 KB
12_recap.en.txt886 bytes
12_recap.mp47.2 MB
01_introduction-to-momentum-trading.en.srt16.0 KB
01_introduction-to-momentum-trading.en.txt8.5 KB
01_introduction-to-momentum-trading.mp420.7 MB
02_introduction-to-hurst.en.srt11.5 KB
02_introduction-to-hurst.en.txt7.3 KB
02_introduction-to-hurst.mp411.4 MB
03_hurst-exponent-and-trading-signals-derived-from-market-time-series_66670.pdf333.4 KB
01_building-a-momentum-trading-model.en.srt10.7 KB
01_building-a-momentum-trading-model.en.txt6.8 KB
01_building-a-momentum-trading-model.mp417.9 MB
02_define-the-problem.en.srt14.8 KB
02_define-the-problem.en.txt7.7 KB
02_define-the-problem.mp422.1 MB
03_collect-the-data.en.srt3.2 KB
03_collect-the-data.en.txt2.0 KB
03_collect-the-data.mp43.3 MB
04_creating-features.en.srt3.9 KB
04_creating-features.en.txt2.5 KB
04_creating-features.mp410.4 MB
05_split-the-data.en.srt5.8 KB
05_split-the-data.en.txt3.1 KB
05_split-the-data.mp45.1 MB
06_selecting-a-machine-learning-algorithm.en.srt4.7 KB
06_selecting-a-machine-learning-algorithm.en.txt2.9 KB
06_selecting-a-machine-learning-algorithm.mp45.0 MB
07_backtest-on-unseen-data.en.srt2.5 KB
07_backtest-on-unseen-data.en.txt1.3 KB
07_backtest-on-unseen-data.mp45.9 MB
09_lab-intro-momentum-trading.en.srt1.0 KB
09_lab-intro-momentum-trading.en.txt563 bytes
09_lab-intro-momentum-trading.mp43.5 MB
10_momentum-trading-lab-solution.en.srt7.6 KB
10_momentum-trading-lab-solution.en.txt4.0 KB
10_momentum-trading-lab-solution.mp428.4 MB
01_introduction-to-pair-trading.en.srt9.8 KB
01_introduction-to-pair-trading.en.txt5.9 KB
01_introduction-to-pair-trading.mp431.6 MB
02_picking-pairs.en.srt6.6 KB
02_picking-pairs.en.txt3.4 KB
02_picking-pairs.mp416.1 MB
03_picking-pairs-with-clustering.en.srt10.8 KB
03_picking-pairs-with-clustering.en.txt6.6 KB
03_picking-pairs-with-clustering.mp422.7 MB
01_how-to-implement-a-pair-trading-strategy.en.srt13.3 KB
01_how-to-implement-a-pair-trading-strategy.en.txt7.1 KB
01_how-to-implement-a-pair-trading-strategy.mp419.8 MB
02_evaluate-results-of-a-pair-trade.en.srt8.0 KB
02_evaluate-results-of-a-pair-trade.en.txt4.9 KB
02_evaluate-results-of-a-pair-trade.mp427.7 MB
01_backtesting-and-avoiding-overfitting.en.srt10.4 KB
01_backtesting-and-avoiding-overfitting.en.txt5.5 KB
01_backtesting-and-avoiding-overfitting.mp430.1 MB
02_next-steps-improvements-to-your-pairs-strategy.en.srt9.5 KB
02_next-steps-improvements-to-your-pairs-strategy.en.txt5.0 KB
02_next-steps-improvements-to-your-pairs-strategy.mp424.6 MB
03_lab-intro-pairs-trading.en.srt707 bytes
03_lab-intro-pairs-trading.en.txt377 bytes
03_lab-intro-pairs-trading.mp42.6 MB
04_lab-solution-pairs-trading.en.srt2.8 KB
04_lab-solution-pairs-trading.en.txt1.7 KB
04_lab-solution-pairs-trading.mp427.9 MB
01_kalman-filter-introduction.en.srt14.5 KB
01_kalman-filter-introduction.en.txt9.2 KB
01_kalman-filter-introduction.mp416.8 MB
02_kalman-filter-trading-applications.en.srt8.0 KB
02_kalman-filter-trading-applications.en.txt5.1 KB
02_kalman-filter-trading-applications.mp419.4 MB
01__Module_PDF_-_Build_a_Pair_Trading_strategy_prediction_model.pdf2.0 MB
01__Module_PDF_-_Build_a_momentum-based_trading_system.pdf5.4 MB
01__Module_PDF_-_Training_neural_networks_with_Tensorflow_2_and_Keras.pdf4.8 MB
01__Module_PDF_-_Understand_quantitative_trading_strategies.pdf1.6 MB
01__Module_PDF_-__Intro_to_Course.pdf786.8 KB
01__resources.html2.1 KB
01_introduction-to-course.en.srt4.5 KB
01_introduction-to-course.en.txt2.3 KB
01_introduction-to-course.mp49.7 MB
02_what-is-reinforcement-learning.en.srt17.2 KB
02_what-is-reinforcement-learning.en.txt9.2 KB
02_what-is-reinforcement-learning.mp420.4 MB
01_history-overview.en.srt4.3 KB
01_history-overview.en.txt2.7 KB
01_history-overview.mp45.1 MB
02_value-iteration.en.srt15.7 KB
02_value-iteration.en.txt9.7 KB
02_value-iteration.mp413.2 MB
03_policy-iteration.en.srt11.1 KB
03_policy-iteration.en.txt7.0 KB
03_policy-iteration.mp411.0 MB
01_td-learning.en.srt15.3 KB
01_td-learning.en.txt8.0 KB
01_td-learning.mp412.7 MB
02_q-learning.en.srt10.4 KB
02_q-learning.en.txt6.6 KB
02_q-learning.mp413.5 MB
03_benefits-of-reinforcement-learning-in-your-trading-strategy.en.srt9.7 KB
03_benefits-of-reinforcement-learning-in-your-trading-strategy.en.txt5.1 KB
03_benefits-of-reinforcement-learning-in-your-trading-strategy.mp416.2 MB
04_drl-advantages-for-strategy-efficiency-and-performance.en.srt12.0 KB
04_drl-advantages-for-strategy-efficiency-and-performance.en.txt6.4 KB
04_drl-advantages-for-strategy-efficiency-and-performance.mp437.4 MB
06_introduction-to-qwiklabs.en.srt4.9 KB
06_introduction-to-qwiklabs.en.txt3.0 KB
06_introduction-to-qwiklabs.mp48.0 MB
01_td-gammon.en.srt7.6 KB
01_td-gammon.en.txt4.0 KB
01_td-gammon.mp411.9 MB
02_deep-q-networks-loss.en.srt4.0 KB
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02_deep-q-networks-loss.mp43.5 MB
03_deep-q-networks-memory.en.srt3.9 KB
03_deep-q-networks-memory.en.txt2.5 KB
03_deep-q-networks-memory.mp45.7 MB
04_deep-q-networks-code.en.srt5.7 KB
04_deep-q-networks-code.en.txt3.6 KB
04_deep-q-networks-code.mp46.2 MB
01_policy-gradients.en.srt9.6 KB
01_policy-gradients.en.txt5.1 KB
01_policy-gradients.mp48.7 MB
02_actor-critic.en.srt4.9 KB
02_actor-critic.en.txt3.2 KB
02_actor-critic.mp47.6 MB
01_what-is-lstm.en.srt9.0 KB
01_what-is-lstm.en.txt5.8 KB
01_what-is-lstm.mp413.0 MB
02_more-on-lstm.en.srt6.0 KB
02_more-on-lstm.en.txt3.2 KB
02_more-on-lstm.mp46.6 MB
03_applying-lstm-to-time-series-data.en.srt9.1 KB
03_applying-lstm-to-time-series-data.en.txt5.8 KB
03_applying-lstm-to-time-series-data.mp411.4 MB
01_how-to-develop-a-drl-trading-system.en.srt2.1 KB
01_how-to-develop-a-drl-trading-system.en.txt1.4 KB
01_how-to-develop-a-drl-trading-system.mp43.7 MB
02_steps-required-to-develop-a-drl-strategy.en.srt10.8 KB
02_steps-required-to-develop-a-drl-strategy.en.txt5.7 KB
02_steps-required-to-develop-a-drl-strategy.mp431.2 MB
03_final-checks-before-going-live-with-your-strategy.en.srt7.6 KB
03_final-checks-before-going-live-with-your-strategy.en.txt4.1 KB
03_final-checks-before-going-live-with-your-strategy.mp423.9 MB
04_investment-and-trading-risk-management.en.srt7.3 KB
04_investment-and-trading-risk-management.en.txt3.9 KB
04_investment-and-trading-risk-management.mp418.5 MB
05_trading-strategy-risk-management.en.srt7.2 KB
05_trading-strategy-risk-management.en.txt3.9 KB
05_trading-strategy-risk-management.mp421.7 MB
06_portfolio-risk-reduction.en.srt6.3 KB
06_portfolio-risk-reduction.en.txt3.4 KB
06_portfolio-risk-reduction.mp418.2 MB
01_why-automl.en.srt15.7 KB
01_why-automl.en.txt9.7 KB
01_why-automl.mp423.1 MB
02_automl-vision.en.srt3.5 KB
02_automl-vision.en.txt1.9 KB
02_automl-vision.mp45.1 MB
03_automl-nlp.en.srt4.5 KB
03_automl-nlp.en.txt2.4 KB
03_automl-nlp.mp45.0 MB
04_automl-tables.en.srt8.1 KB
04_automl-tables.en.txt5.2 KB
04_automl-tables.mp421.6 MB
01__Module_0__Introduction_to_Course_.pdf1.0 MB
01__Module_1__Early_Reinforcement_Learning_.pdf1.7 MB
01__Module_2__Neural_Network_Based_Reinforcement_Learning.pdf3.3 MB
01__Module_3__Portfolio_Optimization_.pdf767.3 KB
01__resources.html1.8 KB
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