Fix: question50 broken link

Author: danieldanielecki

README.md

@@ -127,7 +127,7 @@ We are so thankful for every contribution, which makes sure we can deliver top-n
 | 47  | [A Machine Learning Specialist prepared the following graph displaying the results of K-means for k = [1..10]. Considering the graph, what is a reasonable selection for the optimal choice of k?](#a-machine-learning-specialist-prepared-the-following-graph-displaying-the-results-of-k-means-for-k--110-considering-the-graph-what-is-a-reasonable-selection-for-the-optimal-choice-of-k)
 | 48  | [A machine learning specialist works for a fruit processing company and needs to build a system that categorizes apples into three types. The specialist has collected a dataset that contains 150 images for each type of apple and applied transfer learning on a neural network that was pretrained on ImageNet with this dataset. The company requires at least 85% accuracy to make use of the model. After an exhaustive grid search, the optimal hyperparameters produced the following: 68% accuracy on the training set. 67% accuracy on the validation set. What can the machine learning specialist do to improve the system's accuracy?](#a-machine-learning-specialist-works-for-a-fruit-processing-company-and-needs-to-build-a-system-that-categorizes-apples-into-three-types-the-specialist-has-collected-a-dataset-that-contains-150-images-for-each-type-of-apple-and-applied-transfer-learning-on-a-neural-network-that-was-pretrained-on-imagenet-with-this-dataset-the-company-requires-at-least-85-accuracy-to-make-use-of-the-model-after-an-exhaustive-grid-search-the-optimal-hyperparameters-produced-the-following-68-accuracy-on-the-training-set-67-accuracy-on-the-validation-set-what-can-the-machine-learning-specialist-do-to-improve-the-systems-accuracy)
 | 49  | [A company uses camera images of the tops of items displayed on store shelves to determine which items were removed and which ones still remain. After several hours of data labeling, the company has a total of 1,000 hand-labeled images covering 10 distinct items. The training results were poor. Which machine learning approach fulfills the company's long-term needs?](#a-company-uses-camera-images-of-the-tops-of-items-displayed-on-store-shelves-to-determine-which-items-were-removed-and-which-ones-still-remain-after-several-hours-of-data-labeling-the-company-has-a-total-of-1000-hand-labeled-images-covering-10-distinct-items-the-training-results-were-poor-which-machine-learning-approach-fulfills-the-companys-long-term-needs)
-| 50  | [A Data Scientist is developing a binary classifier to predict whether a patient has a particular disease on a series of test results. The Data Scientist has data on 400 patients randomly selected from the population. The disease is seen in 3% of the population. Which cross-validation strategy should the Data Scientist adopt?](#a-data-scientist-is-developing-a-binary-classifier-to-predict-whether-a-patient-has-a-particular-disease-on-a-series-of-test-results-the-data-scientist-has-data-on-400-patients-randomly-selected-from-the-population-the-disease-is-seen-in-3%25-of-the-population-which-cross-validation-strategy-should-the-data-scientist-adopt)
+| 50  | [A Data Scientist is developing a binary classifier to predict whether a patient has a particular disease on a series of test results. The Data Scientist has data on 400 patients randomly selected from the population. The disease is seen in 3% of the population. Which cross-validation strategy should the Data Scientist adopt?](#a-data-scientist-is-developing-a-binary-classifier-to-predict-whether-a-patient-has-a-particular-disease-on-a-series-of-test-results-the-data-scientist-has-data-on-400-patients-randomly-selected-from-the-population-the-disease-is-seen-in-3-of-the-population-which-cross-validation-strategy-should-the-data-scientist-adopt)
 | 51  | [A Machine Learning Specialist is attempting to build a Linear Regression model. Given the displayed residual plot only, what is the MOST likely problem with the model?](#a-machine-learning-specialist-is-attempting-to-build-a-linear-regression-model-given-the-displayed-residual-plot-only-what-is-the-most-likely-problem-with-the-model)
 | 52  | [A large company has developed a BI application that generates reports and dashboards using data collected from various operational metrics. The company wants to provide executives with an enhanced experience so they can use natural language to get data from the reports. The company wants the executives to be able ask questions using written and spoken interfaces. Which combination of services can be used to build this conversational interface? (Choose three.)](#a-large-company-has-developed-a-bi-application-that-generates-reports-and-dashboards-using-data-collected-from-various-operational-metrics-the-company-wants-to-provide-executives-with-an-enhanced-experience-so-they-can-use-natural-language-to-get-data-from-the-reports-the-company-wants-the-executives-to-be-able-ask-questions-using-written-and-spoken-interfaces-which-combination-of-services-can-be-used-to-build-this-conversational-interface-choose-three)
 | 53  | [A health care company is planning to use neural networks to classify their X-ray images into normal and abnormal classes. The labeled data is divided into a training set of 1,000 images and a test set of 200 images. The initial training of a neural network model with 50 hidden layers yielded 99% accuracy on the training set, but only 55% accuracy on the test set. What changes should the Specialist consider to solve this issue? (Choose three.)](#a-health-care-company-is-planning-to-use-neural-networks-to-classify-their-x-ray-images-into-normal-and-abnormal-classes-the-labeled-data-is-divided-into-a-training-set-of-1000-images-and-a-test-set-of-200-images-the-initial-training-of-a-neural-network-model-with-50-hidden-layers-yielded-99%25-accuracy-on-the-training-set-but-only-55%25-accuracy-on-the-test-set-what-changes-should-the-specialist-consider-to-solve-this-issue-choose-three)