Geeky Codes | AI Engineering, Data Engineering & Machine Learning Tutorials
In the dynamic world of business, where data-driven decisions reign supreme, the accuracy and reliability of classification models play a pivotal role. Whether you’re involved in lead scoring or any other binary classification system, understanding the intricacies of evaluation metrics is key. Among these, the ROC (Receiver Operating Characteristic) curve and its integral companion, AUC … Read more
A Support Vector Machine (SVM) is a very powerful and versatile Machine Learning model, capable of performing linear or nonlinear classification, regression, and even outlier detection. It is one of the most popular models in Machine Learning, and anyone interested in Machine Learning should have it in their toolbox. SVMs are particularly well suited for … 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
Information Gain (IG) is critical in machine learning and decision tree algorithms, particularly in data classification and 𝐟𝐞𝐚𝐭𝐮𝐫𝐞 𝐬𝐞𝐥𝐞𝐜𝐭𝐢𝐨𝐧. Information Gain Information Gain is a concept used in the field of machine learning and decision trees to measure the effectiveness of an attribute in classifying a dataset. It is commonly employed in the construction of … 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
As we saw in previous posts, a good way to reduce overfitting is to regularize the model (i.e., to constrain it): the fewer degrees of freedom it has, the harder it will be for it to overfit the data. For example, a simple way to regularize a polynomial model is to reduce the number of … 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
Given an array of integers, calculate the ratios of its elements that are positive, negative, and zero. Print the decimal value of each fraction on a new line with places after the decimal. Note: This challenge introduces precision problems. The test cases are scaled to six decimal places, though answers with absolute error of up to 10^-4 are acceptable. Example … Read more
Given a square matrix, calculate the absolute difference between the sums of its diagonals. For example, the square matrix is shown below: The left-to-right diagonal =1+5+9=15. The right to left diagonal = 3+5+9=17. Their absolute difference is |15-17|=2. Function description Complete the diagonalDifference function in the editor below. diagonalDifference takes the following parameter: Return Input Format The first line … Read more
Alice and Bob each created one problem for HackerRank. A reviewer rates the two challenges, awarding points on a scale from 1 to 100 for three categories: problem clarity, originality, and difficulty. The rating for Alice’s challenge is the triplet a = (a[0], a[1], a[2]), and the rating for Bob’s challenge is the triplet b = (b[0], b[1], b[2]). The task is to find … Read more
Till now, We have read about Gradient Descent,Min-Batch Gradient Descent,Stochastic Gradient Descent and other type of Gradient Descents and Polynomial Regression. In this post we will learn about Learning Curves in Machine Learning . Introduction Learning curves are graphical representations of how a model’s performance changes over time as it learns from training data. These … Read more
Introduction Till now, We have read about Gradient Descent,Min-Batch Gradient Descent,Stochastic Gradient Descent and other type of Gradient Descents. In this post we will learn about Polynomial Regression. What if your data is actually more complex than a simple straight line? Surprisingly,you can actually use a linear model to fit nonlinear data. A simple way … Read more