In the vast expanse of data exploration, the art of standardization, sometimes referred to as feature scaling, assumes a paramount role as a preparatory step. It involves the transformation of disparate data elements into a harmonized range or scale, enabling fair analysis and comparison. Python's extraordinary library, Pandas, seamlessly facilitates this endeavor. Picture Pandas DataFrames as two-dimensional, ever-shifting, heterogeneous tabular data arrays, meticulously crafted to streamline the manipulation of data. With intuitive syntax and dynamic capabilities, it has emerged as the structure of choice for data enthusiasts worldwide. Let us delve deeper into the methods we can employ to ... Read More

In this problem, we need to maximize the ‘10’ subsequences in the given binary string by replacing the 0 or 1 ‘0’ character with ‘1’. We can replace each ‘0’ with ‘1’ one after another and find a maximum number of ‘10’ subsequences in the updated string. Problem statement − We have given a binary string named str1 containing only 0 and 1 characters. We can replace at most one ‘0’ with ‘1’ and need to find the maximum number of ‘10’ subsequences in the given string. Sample Examples Input  str1 = "10110" Output  4 Explanation The ‘10110’ ... Read More

The vast universe of Python includes a shining constellation named Pandas. Recognized globally for its might in data management and manipulation, it empowers data analysts with tools that act as an extension of their thoughts, transforming ideas into reality. The crux of this discussion lies in a particular feature of Pandas, the fusion of DataFrames along an axis. When the challenge is to blend information from diverse origins or conglomerate data for a comprehensive analysis, Pandas offers a basket of functions like concat(), append(), and merge(). The onus is on us to pick the tool that aligns with our ... Read More

In this problem, we will find the longest substring of A to convert it to a substring of B starting from the same index in less than T cost. We will use the binary search algorithm to find the maximum length of the substring which follows the given condition. However, the naïve approach to solving the problem is to find all substrings following the conditions in the problem statement and take the substring with maximum length. Problem statement − We have given a string A and B of length N. Also, we have given a total cost, ‘T’. The ... Read More

In this problem, we will use the regular expression to validate the ISIN number in C++. The ISIN stands for the International Securities Identification Number. It is a unique code to identify stocks, financial bonds, etc. The length of the ISIN number can be 12 or 14, which provides international recognization of the particular stuff. Let’s understand the format of the ISIN number. Country code − It starts with two characters of the country code. Identifier − It contains 9 alphanumeric characters after the country code. Checksum − It contains the single digit which is used to detect errors ... Read More

In this problem, we will construct two palindromic strings using the given string’s characters. We can use the character’s frequency to solve the problem. We can construct two new palindromic strings only if both characters’ frequencies are even or if any characters have an even frequency and others have an odd frequency. Problem statement − We have given a string alpha containing two different characters and a size equal to N. We need to construct two palindromic strings using the characters of the alpha, which are not the same as the given string alpha. Sample Examples After incrementing each character ... Read More

In this problem, we need to increase each character of multiple prefixes of size given in the array. The naïve approach to solving the problem is to take each prefix of the size given in the array and increment each character of the prefix by 1. The best approach is to create the prefix array using the given array and update each string character in the single iteration. Problem statement − We have given a string alpha of length N. Also, we have given a prefixes array containing the positive integer. The prefixes[i] represent that take prefix of length prefixes[i] ... Read More

In this problem, we will find the number of pairs of 3 indices so that any adjacent indices don’t have the same value in the pair. We can get the output by checking each pair of 3 indexes, but it can be more time-consuming. Another approach to solving the problem is to take the current index and also take the index from left and right, which doesn’t contain a similar value to the current index's value. This way, we can count the total number of pairs each index can form and sum them to get the output. Problem statement − ... Read More

Embarking on the vast domains of machine learning and data science, one encounters tasks that might appear inconsequential but hold a crucial position in the broader perspective. One such vital task is the division of data into training and validation sets - a foundational step for creating an effective predictive model. Scikit-learn, a prominent Python library for machine learning, boasts a versatile function, train_test_split(), crafted to address this task with remarkable ease. This treatise aims to steer you through the process of partitioning your data using scikit-learn's train_test_split() function. Syntax from sklearn.model_selection import train_test_split X_train, X_test, y_train, y_test = ... Read More

In this problem, we will find total invalid characters in the given string. If total distinct characters till the particular even index is prime, we can say the character is invalid. We can use the map data structure to count the total number of distinct characters while traversing the string. Also, we can use the string of characters to keep track of the distinct digits. Also, for every character, we can check whether its index is even and whether distinct characters are prime. Problem statement – We have given a string alpha containing the N characters. We need to find ... Read More