Update intro.rst (#1133)
Update intro.rst fix link Signed-off-by: Jinyoung <40735154+diligejy@users.noreply.github.com>
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@ -39,7 +39,7 @@ If you are new to causal inference, this user guide helps you understand the dif
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If you are familiar with causal inference, you can jump right into code examples.
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To see DoWhy in action, check out how it can be applied to estimate the effect
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of a subscription or rewards program for customers [`Rewards notebook
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<https://github.com/microsoft/py-why/blob/main/docs/source/example_notebooks/dowhy_example_effect_of_memberrewards_program.ipynb>`_]
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<https://github.com/py-why/dowhy/blob/main/docs/source/example_notebooks/dowhy_example_effect_of_memberrewards_program.ipynb>`_]
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and for implementing and evaluating causal inference methods on benchmark datasets like the
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`Infant Health and Development Program (IHDP) <https://github.com/py-why/dowhy/blob/main/docs/source/example_notebooks/dowhy_ihdp_data_example.ipynb>`_
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dataset, `Infant Mortality (Twins) <https://github.com/py-why/dowhy/blob/main/docs/source/example_notebooks/dowhy_twins_example.ipynb>`_
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