Fix: question53 broken link

Author: danieldanielecki

README.md

@@ -130,7 +130,7 @@ We are so thankful for every contribution, which makes sure we can deliver top-n
 | 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)
+| 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-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)
 | 54  | [This graph shows the training and validation loss against the epochs for a neural network. The network being trained is as follows: Two dense layers, one output neuron. 100 neurons in each layer. 100 epochs. Random initialization of weights. Which technique can be used to improve model performance in terms of accuracy in the validation set?](#this-graph-shows-the-training-and-validation-loss-against-the-epochs-for-a-neural-network-the-network-being-trained-is-as-follows-two-dense-layers-one-output-neuron-100-neurons-in-each-layer-100-epochs-random-initialization-of-weights-which-technique-can-be-used-to-improve-model-performance-in-terms-of-accuracy-in-the-validation-set)
 | 55  | [A company wants to predict the sale prices of houses based on available historical sales data. The target variable in the company's dataset is the sale price. The features include parameters such as the lot size, living area measurements, non-living area measurements, number of bedrooms, number of bathrooms, year built, and postal code. The company wants to use multi-variable Linear Regression to predict house sale prices. Which step should a machine learning specialist take to remove features that are irrelevant for the analysis and reduce the model's complexity?](#a-company-wants-to-predict-the-sale-prices-of-houses-based-on-available-historical-sales-data-the-target-variable-in-the-companys-dataset-is-the-sale-price-the-features-include-parameters-such-as-the-lot-size-living-area-measurements-non-living-area-measurements-number-of-bedrooms-number-of-bathrooms-year-built-and-postal-code-the-company-wants-to-use-multi-variable-linear-regression-to-predict-house-sale-prices-which-step-should-a-machine-learning-specialist-take-to-remove-features-that-are-irrelevant-for-the-analysis-and-reduce-the-models-complexity)
 | 56  | [A Machine Learning Specialist is given a structured dataset on the shopping habits of a company's customer base. The dataset contains thousands of columns of data and hundreds of numerical columns for each customer. The Specialist wants to identify whether there are natural groupings for these columns across all customers and visualize the results as quickly as possible. What approach should the Specialist take to accomplish these tasks?](#a-machine-learning-specialist-is-given-a-structured-dataset-on-the-shopping-habits-of-a-companys-customer-base-the-dataset-contains-thousands-of-columns-of-data-and-hundreds-of-numerical-columns-for-each-customer-the-specialist-wants-to-identify-whether-there-are-natural-groupings-for-these-columns-across-all-customers-and-visualize-the-results-as-quickly-as-possible-what-approach-should-the-specialist-take-to-accomplish-these-tasks)