Geeky Codes | AI Engineering, Data Engineering & Machine Learning Tutorials
Unstructured data files consist of a series of bits. The file doesn’t separate the bits from each other in any way. You can’t simply look into the file and see any structure because there isn’t any to see. Unstructured file formats rely on the file user to know how to interpret the data. For example, … Read more
In many cases, the data you need to work with won’t appear within a library, such as the toy datasets in the Scikit-learn library. Real-world data usually appears in a file of some type, and a flat file presents the easiest kind of file to work with. In a flat file, the data appears as … Read more
Introduction Storing data in local computer memory represents the fastest and most reliable means to access it. The data could reside anywhere. However, you don’t actually interact with the data in its storage location. You load the data into memory from the storage location and then interact with it in memory. Uploading small amounts of … Read more
The Utopian Tree goes through 2 cycles of growth every year. Each spring, it doubles in height. Each summer, its height increases by 1 meter. A Utopian Tree sapling with a height of 1 meter is planted at the onset of spring. How tall will the tree be after growth cycles? For example, if the number of growth cycles is n=5, the calculations are as … Read more
When a contiguous block of text is selected in a PDF viewer, the selection is highlighted with a blue rectangle. In this PDF viewer, each word is highlighted independently. For example: There is a list of 26 character heights aligned by index to their letters. For example, ‘a’ is at index 0 and ‘z’ is at index 25. There will … Read more
Given a string s of lowercase alphabets and a number k, the task is to print the minimum value of the string after removal of k characters. The value of a string is defined as the sum of squares of the count of each distinct character present in the string. Example 1: Input: s = abccc, k = 1Output: 6Explaination:We … Read more
Introduction: Linear regression is one of the fundamental techniques in machine learning and statistics used for modeling the relationship between a dependent variable and one or more independent variables. In this tutorial, we’ll delve into the implementation of simple linear regression from scratch using Python. By understanding the mathematical intuition behind linear regression and its … Read more
In Previous blog we talked about Non Linear SVM Classifications. In this blog we will talk about Polynomial Kernel. Introduction Adding polynomial features is simple to implement and can work great with all sorts of Machine Learning algorithms (not just SVMs), but at a low polynomial degree it cannot deal with very complex datasets, and … Read more
Introduction During model development, one of the techniques that many don’t experiment with is feature discretization. The core idea is to transform a continuous feature into discrete features, mostly one-hot encoded. 𝐖𝐡𝐲 𝐰𝐨𝐮𝐥𝐝 𝐰𝐞 𝐝𝐨 𝐭𝐡𝐚𝐭? My rationale for using feature discretization has almost always been simple: “It just makes sense to discretize a feature.” … Read more
Machine learning models, particularly those trained iteratively using algorithms like Gradient Descent, face the risk of overfitting the training data. One powerful and elegant solution to this challenge is known as “Early Stopping.” In this blog post, we’ll delve into the concept of Early Stopping, explore its effectiveness, and showcase a practical implementation using a … Read more
PySpark, it is a Python library for Apache Spark, an open-source distributed computing system. PySpark allows you to write Spark applications using Python programming language, providing a Python API for Spark’s capabilities. Below are some properties of pyspark. 1. Create a simple Spark Dataframe 2. Read data from a table using spark.sql To read data … Read more
Introduction Working with date data often involves extracting relevant information, such as the financial year. In this blog post, we’ll explore how to extract the financial year from a date column in both Pandas and PySpark DataFrames. Extracting Financial Year in Pandas DataFrame Sample Data Let’s start by creating a sample Pandas DataFrame with a … Read more
Least Absolute Shrinkage and Selection Operator Regression (simply called Lasso Regression) is another regularized version of Linear Regression: just like Ridge Regression, it adds a regularization term to the cost function, but it uses the ℓ1 norm of the weight vector instead of half the square of the ℓ2 norm. Figure below shows the same … Read more
Problem Overview Given an array of integers, our task is to find the longest subarray such that the absolute difference between any two elements is less than or equal to 1. Example a=[1,1,2,2,4,4,5,5,5] There are two subarrays meeting the criterion: [1,1,2,2] and [4,4,5,5,5]. The maximum length subarray has 5 elements. Function Description Complete the pickingNumbers function in the editor below. pickingNumbers has … Read more
We define a magic square to be an n*n matrix of distinct positive integers from 1 to n^2 where the sum of any row, column, or diagonal of length n is always equal to the same number: the magic constant. You will be given a 3*3 matrix of integers in the inclusive range [1,9]. We can convert any digit a to any other digit b in the range [1,9] at cost of [a,b]. Given s, convert it into … Read more
Introduction In the world of networking, ensuring that devices are reachable is a fundamental aspect of troubleshooting and monitoring. One common method to test this reachability is by using the ping command. In this blog post, we will explore a simple Python script that prompts the user for an IP address and checks its reachability … Read more
Two cats and a mouse are at various positions on a line. You will be given their starting positions. Your task is to determine which cat will reach the mouse first, assuming the mouse does not move and the cats travel at equal speed. If the cats arrive at the same time, the mouse will … Read more
You are in charge of the cake for a child’s birthday. You have decided the cake will have one candle for each year of their total age. They will only be able to blow out the tallest of the candles. Count how many candles are tallest. Example candles=[4,4,1,3] The maximum height candles are 4 units high. … Read more
Given five positive integers, find the minimum and maximum values that can be calculated by summing exactly four of the five integers. Then print the respective minimum and maximum values as a single line of two space-separated long integers. Example arr=[1,3,5,7,9] The minimum sum is 1+3+5+7=16 and the maximum sum is 3+5+7+9=24 . The function prints Function Description … Read more
Staircase detail This is a staircase of size n=4: Its base and height are both equal to 4 . It is drawn using # symbols and spaces. The last line is not preceded by any spaces. Write a program that prints a staircase of size n. Function Description Complete the staircase function in the editor below. staircase has the following parameter(s): Print Print … Read more