Beautiful Days at the Movies | Hackerrank Solutions
Lily likes to play games with integers. She has created a new game where she determines the difference between a…
What is Stochastic Gradient Descent?
Stochastic Gradient Descent (SGD) is an optimization algorithm commonly used in machine learning for training models, particularly in large-scale and…
How to Extract Code from a Screenshot with 100% Accuracy?
Did you like an image containing code & take its screenshot? Now you want to copy the code from that…
Quintile Analysis: Bringing it all togetherand making decisions
Introduction Quintile analysis is a statistical method used to divide a data set into five equal parts, each representing 20%…
SQL | The BETWEEN Operator
BETWEEN Operator Example The “Persons” table: Now we want to select the persons with a last name alphabetically between “Hansen”…
SQL | The IN Operator
The IN operator allows you to specify multiple values in a WHERE clause. SQL IN Syntax: IN Operator Example The…
Getting Started With Pandas | Part 1
Installation or Setup Detailed instructions on getting pandas set up or installed can be found here in the official documentation.…
Selecting the Number of Clusters
With K-Means, you could use the inertia or the silhouette score to select the appropriate number of clusters, but with…
SQL | The INSERT INTO AND UPDATE Statement
The second form specifies both the column names and the values to be inserted: SQL INSERT INTO Example We have…
Tokenization in NLP
Word Level Tokenzation Splitting text into individual words “the quick brown fox” -> [“the”,”quick”,”brown”,”fox”] BUT Character Level Tokenization Splitting text…
Appending to DataFrame | Pandas
Appending a new row to DataFrame import pandas as pd df = pd.DataFrame(columns = [‘A’, ‘B’, ‘C’]) Appending a row…
What is Exploratory Data Analysis (EDA)?
Exploratory Data Analysis (EDA) is an essential step in any data science project. It involves investigating and analyzing datasets to…
Anomaly Detection using Gaussian Mixtures
Introduction Anomaly detection (also called outlier detection) is the task of detecting instances that deviate strongly from the norm. These…
A Journey From Biological to Artificial Neurons
Surprisingly, ANNs have been around for quite a while: they were first introduced back in 1943 by the neurophysiologist Warren…
Bayesian Gaussian Mixture Models
Rather than manually searching for the optimal number of clusters, it is possible to use instead the BayesianGaussianMixture class which…
SQL | Alias Operator
SQL Alias Syntax for Columns: Also read Alias Example Assume we have a table called “Persons” and another table called…
SQL | The LIKE Operator
SELECT column_name(s) FROM table_name WHERE column_name LIKE pattern LIKE Operator Example The “Persons” table: Now we want to select the…
Understanding DBSCAN Clustering Algorithm: Implementation in Python
Before we move on to Gaussian mixture models, let’s take a look at DBSCAN, another popular clustering algorithm that illustrates…
Using Clustering for Semi-Supervised Learning
Another use case for clustering is in semi-supervised learning, when we have plenty of unlabeled instances and very few labeled…
Using clustering for image segmentation
Image segmentation is the task of partitioning an image into multiple segments. In semantic segmentation, all pixels that are part…