Geeky Codes | AI Engineering, Data Engineering & Machine Learning Tutorials
A video player plays a game in which the character competes in a hurdle race. Hurdles are of varying heights, and the characters have a maximum height they can jump. There is a magic potion they can take that will increase their maximum jump height by 1 unit for each dose. How many doses of the potion … Read more
By default, the Gini impurity measure is used, but you can select the entropy impurity measure instead by setting the criterion hyperparameter to “entropy”. The concept of entropy originated in thermodynamics as a measure of molecular disorder: entropy approaches zero when molecules are still and well ordered. It later spread to a wide variety of … 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
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
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
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
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
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
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
What is Dataset? Datasets are container of data in python. It can work as data storage for the various algorithms in python. and also a primary storage of data in Data Science. Below I will be discussing how to import a datasets as dataframe in python. For this post I’ll be using a public dataset … Read more