Coursera Machine Learning for Trading Specialization DevCourseWeb

Coursera Machine Learning for Trading Specialization DevCourseWeb
     Get Bonus Downloads Here.url -


     Bonus Resources.txt -


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     01__Arbitrage_Trading_Strategies.pdf -


     01__Course_Overview.pdf -


     01__Exogenous_vs_Endogenous_Data.pdf -


     01__Forecasting_Fundamentals.pdf -


     01__Introduction_to_Backtesting.pdf -


     01__Introduction_to_Quantitative_Trading.pdf -


     01__Time_Series_Modeling.pdf -


     01__Time_Series_Modeling_II.pdf -


     01__resources.html -


     01_introduction-to-course.en.srt -


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     03_advanced-concepts-in-trading-strategies.en.srt -


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     12_recap.en.srt -


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     02_introduction-to-hurst.en.srt -


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     02_introduction-to-hurst.mp4 -


     03_hurst-exponent-and-trading-signals-derived-from-market-time-series_66670.pdf -


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     01__Module_PDF_-_Build_a_Pair_Trading_strategy_prediction_model.pdf -


     01__Module_PDF_-_Build_a_momentum-based_trading_system.pdf -


     01__Module_PDF_-_Training_neural_networks_with_Tensorflow_2_and_Keras.pdf -


     01__Module_PDF_-_Understand_quantitative_trading_strategies.pdf -


     01__Module_PDF_-__Intro_to_Course.pdf -


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     02_steps-required-to-develop-a-drl-strategy.en.srt -


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     03_final-checks-before-going-live-with-your-strategy.en.srt -


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     04_automl-tables.en.srt -


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     01__Module_0__Introduction_to_Course_.pdf -


     01__Module_1__Early_Reinforcement_Learning_.pdf -


     01__Module_2__Neural_Network_Based_Reinforcement_Learning.pdf -


     01__Module_3__Portfolio_Optimization_.pdf -


     01__resources.html -

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