Data
Validate a string containing only '(', ')' and '*'
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This function checks whether a given string is valid according to the rules defined above. A valid string must contain matching parentheses, with the left parentheses coming before the right parentheses, and '*' characters representing either a left or right parentheses or an empty string.
Predicting Housing Prices with Machine Learning
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A machine learning model can be used to predict the sale price of a new home based on a set of features.
Binary Search
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The problem is to find the index of a target value T in a sorted array A. If T is not present in A, the function should return -1.
Selecting a model for accurate prediction
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There are many ways to select a model for accurate prediction, but some common methods include using a cross-validation set or a hold-out set. You can also use a variety of metrics to evaluate the performance of your model, such as accuracy, precision, recall, and F1 score.
Sum of all integers in a list.
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The problem is asking for the sum of all integers in a list. An example input would be [1, 2, 3, 4, 5], and the expected output would be 15.
Determining Clusters and Outliers in a Set of Data
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Given a set of data points, this problem deals with determining which points are clustered together and which points are outliers. Outliers are points that are not close to other points in the data set.
Remove all duplicates from a linked list.
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To remove all duplicates from a linked list, we can iterate through the list, keeping track of which values have been seen already. If we encounter a value that we have seen before , we can remove it from the list. Otherwise, we add it to our set of seen values and continue iterating.
Handling Missing Data in Machine Learning
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There are a few different ways to handle missing data when training a machine learning model, including imputation, deletion, and model-based methods.
