## Essential Math for DataScience — Linear Algebra

Row Vector, Column Vector, Dot Product Linear Algebra for Data Science A good understanding of linear algebra is much needed for understanding many machine learning algorithms. In

## Essential Math for DataScience — Linear Algebra

Row Vector, Column Vector, Dot Product Linear Algebra for Data Science A good understanding of linear algebra is much needed for understanding many machine learning algorithms.  In

## Confusion Matrix — Clearly Explained

Confusion Matrix In machine learning, the confusion matrix helps to summarize the performance of classification models. From the confusion matrix, we can calculate many

## Different Ways to Replace Occurences of a Substring in Python Strings

Using string methods and regexes in python Photo by Karolina Grabowska from Pexels Replace Occurrences of Substrings in Strings in Python str.replace() re.sub() re.subn() By using the above-mentioned

## Correlation Coefficient — Clearly Explained

Correlation Coefficient In machine learning, before we generate any model, we need to understand the relationship between independent variables and the target variable. The correlation

## Data Visualization Using Seaborn

Data Visualization Seaborn plots Data Visualization Using Seaborn Seaborn is used for data visualization, and it is based on matplotlib. It provides a high-level interface for