[CourseClub.Me] Coursera - Investment Management with Python and Machine Learning Specialization

Creation Time	April 21, 2024, 2:29 p.m.
Last Access Time	Aug. 29, 2024, 8:17 p.m.
File Size	2.4 GB
Keywords	Me and Management CourseClub Python Coursera - Machine Learning with Investment Specialization
Total Requests	7
Total Files	433
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machine-learning-asset-management-alternative-data/05_Resources/01_python-notebooks/01__mooc_4_Jul22.zip 536.0 MB
advanced-portfolio-construction-python/01_style-factors/02_section-2/04_module-1-lab-session-foundations.mp4 84.6 MB
advanced-portfolio-construction-python/01_style-factors/01_section-1/05_introduction-to-factor-investing.mp4 83.3 MB
advanced-portfolio-construction-python/01_style-factors/02_section-2/02_from-cap-weighted-benchmarks-to-smart-weighted-benchmarks.mp4 69.8 MB
advanced-portfolio-construction-python/01_style-factors/02_section-2/01_shortcomings-of-cap-weighted-indices.mp4 63.1 MB
advanced-portfolio-construction-python/01_style-factors/01_section-1/06_factor-models-and-the-capm.mp4 59.7 MB
advanced-portfolio-construction-python/03_robust-estimates-for-expected-returns/02_section-2/05_module-3-lab-session-black-litterman.mp4 58.5 MB
advanced-portfolio-construction-python/02_robust-estimates-for-the-covariance-matrix/01_section-1/02_the-curse-of-dimensionality.mp4 56.9 MB
advanced-portfolio-construction-python/04_portfolio-optimization-in-practice/01_section-1/03_naive-diversification.mp4 56.6 MB
introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/02_section-2/03_beyond-ldi.mp4 55.6 MB
advanced-portfolio-construction-python/01_style-factors/01_section-1/07_multi-factor-models-and-fama-french.mp4 53.7 MB
introduction-portfolio-construction-python/03_beyond-diversification/01_section-1/08_lab-session-cppi-and-drawdown-constraints-part2.mp4 52.0 MB
advanced-portfolio-construction-python/04_portfolio-optimization-in-practice/01_section-1/04_scientific-diversification.mp4 51.5 MB
advanced-portfolio-construction-python/03_robust-estimates-for-expected-returns/02_section-2/03_black-litterman-analysis.mp4 50.9 MB
introduction-portfolio-construction-python/03_beyond-diversification/01_section-1/06_an-introduction-to-cppi-part-2.mp4 49.8 MB
introduction-portfolio-construction-python/03_beyond-diversification/01_section-1/09_simulating-asset-returns-with-random-walks.mp4 49.2 MB
advanced-portfolio-construction-python/03_robust-estimates-for-expected-returns/02_section-2/01_extracting-implied-expected-returns.mp4 48.0 MB
advanced-portfolio-construction-python/02_robust-estimates-for-the-covariance-matrix/02_section-2/03_arch-and-garch-models.mp4 47.2 MB
advanced-portfolio-construction-python/01_style-factors/01_section-1/08_factor-benchmarks-and-style-analysis.mp4 45.7 MB
introduction-portfolio-construction-python/03_beyond-diversification/01_section-1/02_limits-of-diversification.mp4 43.8 MB
introduction-portfolio-construction-python/03_beyond-diversification/01_section-1/07_lab-session-cppi-and-drawdown-constraints-part1.mp4 43.7 MB
advanced-portfolio-construction-python/02_robust-estimates-for-the-covariance-matrix/02_section-2/02_exponentially-weighted-average.mp4 41.1 MB
introduction-portfolio-construction-python/03_beyond-diversification/01_section-1/04_lab-session-limits-of-diversification-part-2.mp4 39.2 MB
machine-learning-asset-management-alternative-data/04_using-media-derived-data/01_theory/01_introduction-to-media-information.mp4 36.6 MB
machine-learning-asset-management-alternative-data/01_consumption/01_theory/03_what-is-consumption-data.mp4 36.4 MB
introduction-portfolio-construction-python/03_beyond-diversification/02_section-2/02_lab-session-random-walks-and-monte-carlo.mp4 36.3 MB
introduction-portfolio-construction-python/03_beyond-diversification/01_section-1/05_an-introduction-to-cppi-part-1.mp4 33.3 MB
advanced-portfolio-construction-python/04_portfolio-optimization-in-practice/02_section-2/01_simplified-risk-parity-portfolios.mp4 32.9 MB
machine-learning-asset-management-alternative-data/03_processing-corporate-filings/01_theory/01_introduction-to-corporate-filings.mp4 32.6 MB
introduction-portfolio-construction-python/03_beyond-diversification/01_section-1/03_lab-session-limits-of-diversification-part1.mp4 31.3 MB
machine-learning-asset-management-alternative-data/04_using-media-derived-data/01_theory/03_sentiment-analysis.mp4 30.9 MB
advanced-portfolio-construction-python/03_robust-estimates-for-expected-returns/02_section-2/02_introducing-active-views.mp4 30.9 MB
introduction-portfolio-construction-python/03_beyond-diversification/02_section-2/01_monte-carlo-simulation.mp4 30.9 MB
advanced-portfolio-construction-python/04_portfolio-optimization-in-practice/01_section-1/05_measuring-risk-contributions.mp4 30.0 MB
machine-learning-asset-management-alternative-data/01_consumption/02_lab-sessions/04_lab-session-mapping-data-with-folium.mp4 29.0 MB
introduction-portfolio-construction-python/03_beyond-diversification/02_section-2/03_analyzing-cppi-strategies.mp4 29.0 MB
machine-learning-asset-management-alternative-data/01_consumption/01_theory/02_welcome-video.mp4 27.3 MB
advanced-portfolio-construction-python/04_portfolio-optimization-in-practice/02_section-2/02_risk-parity-portfolios.mp4 25.6 MB
machine-learning-asset-management-alternative-data/04_using-media-derived-data/02_lab-sessions/03_lab-session-replicating-pagerank.mp4 25.4 MB
introduction-portfolio-construction-python/03_beyond-diversification/02_section-2/06_designing-and-calibrating-cppi-strategies.mp4 24.9 MB
machine-learning-asset-management-alternative-data/01_consumption/02_lab-sessions/05_lab-session-testing-seasonality.mp4 23.0 MB
advanced-portfolio-construction-python/04_portfolio-optimization-in-practice/02_section-2/03_comparing-diversification-options.mp4 22.9 MB
machine-learning-asset-management-alternative-data/01_consumption/01_theory/04_geolocation-and-foot-traffic.mp4 20.9 MB
machine-learning-asset-management-alternative-data/03_processing-corporate-filings/02_lab-sessions/05_lab-session-risk-analysis.mp4 20.8 MB
introduction-portfolio-construction-python/01_analysing-returns/01_section-1-fundamentals-of-risk-and-returns/01_welcome-video.mp4 16.6 MB
advanced-portfolio-construction-python/01_style-factors/01_section-1/01_welcome-video.mp4 15.3 MB
machine-learning-asset-management-alternative-data/01_consumption/02_lab-sessions/01_lab-session-introduction-to-the-uber-dataset.mp4 14.4 MB
introduction-portfolio-construction-python/03_beyond-diversification/02_section-2/04_lab-session-installing-ipywidgets.mp4 11.4 MB
machine-learning-asset-management-alternative-data/01_consumption/02_lab-sessions/02_lab-session-points-of-interest.mp4 11.1 MB
machine-learning-asset-management-alternative-data/04_using-media-derived-data/02_lab-sessions/02_lab-session-network-visualization.mp4 10.3 MB
advanced-portfolio-construction-python/01_style-factors/02_section-2/03_introduction-to-lab-sessions.mp4 9.8 MB
introduction-portfolio-construction-python/01_analysing-returns/01_section-1-fundamentals-of-risk-and-returns/05_installing-anaconda.mp4 7.7 MB
introduction-portfolio-construction-python/05_Resources/02_notebooks-and-code-version-01/01__notebooks_and_codem01_v02.zip 2.4 MB
advanced-portfolio-construction-python/05_Resources/02_notebooks-and-code-version-03/01__MOOC2_v03_19Jan21.zip 2.0 MB
advanced-portfolio-construction-python/05_Resources/01_data-for-portfolio-construction-in-python/01__data.zip 1.2 MB
introduction-portfolio-construction-python/05_Resources/01_data-for-portfolio-construction-with-python/01__data.zip 1.2 MB
advanced-portfolio-construction-python/05_Resources/02_notebooks-and-code-version-03/01__notebooks_and_code-m02v02.zip 444.9 KB
advanced-portfolio-construction-python/05_Resources/01_data-for-portfolio-construction-in-python/01__data_library.html 240.1 KB
introduction-portfolio-construction-python/05_Resources/01_data-for-portfolio-construction-with-python/01__data_library.html 240.1 KB
machine-learning-asset-management-alternative-data/05_Resources/02_supplementary-material-web-scraping-13-f/01__13F_Web_Scrape.ipynb 99.5 KB
advanced-portfolio-construction-python/01_style-factors/02_section-2/04_module-1-lab-session-foundations.en.srt 67.9 KB
python-machine-learning-for-investment-management/06_Resources/01_libraries-used-in-the-jupyter-notebooks/01__Environment_Setup.pdf 52.8 KB
advanced-portfolio-construction-python/01_style-factors/02_section-2/04_module-1-lab-session-foundations.en.txt 35.4 KB
introduction-portfolio-construction-python/03_beyond-diversification/02_section-2/02_lab-session-random-walks-and-monte-carlo.en.srt 28.6 KB
introduction-portfolio-construction-python/03_beyond-diversification/01_section-1/04_lab-session-limits-of-diversification-part-2.en.srt 26.7 KB
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machine-learning-asset-management-alternative-data/01_consumption/02_lab-sessions/05_lab-session-testing-seasonality.en.srt 19.9 KB
advanced-portfolio-construction-python/01_style-factors/01_section-1/05_introduction-to-factor-investing.en.srt 19.4 KB
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advanced-portfolio-construction-python/01_style-factors/02_section-2/02_from-cap-weighted-benchmarks-to-smart-weighted-benchmarks.en.srt 18.3 KB
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advanced-portfolio-construction-python/04_portfolio-optimization-in-practice/01_section-1/04_scientific-diversification.en.srt 12.6 KB
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