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#9 - Separating Numerical, Categorical, and Textual Data

Jul 21, 20215 min read

Data separation based on its type · Introduction For every tabular data, we know that the data is stored in the form of a matrix (rows and columns). It...

#9 - Separating Numerical, Categorical, and Textual Data

#8 - apply() and map() for Data Manipulation

May 21, 20215 min read

Easy data manipulation · What is Data Manipulation? Data manipulation is one of the techniques in the life cycle of data analysis. It refers to the...

#8 - apply() and map() for Data Manipulation

#7 - Handle Missing Values in Data

May 12, 20216 min read

Strategies to handle missing values · What is a missing value? Missing value simply refers to a situation where there is no data stored for the variable...

#7 - Handle Missing Values in Data

Convert a Regular Matrix into Sparse Matrix in Python

Apr 21, 20215 min read

Introduction Matrix is a type of data structure similar to an array where values are stored in rows and columns. Here, the values are of a unique...

Convert a Regular Matrix into Sparse Matrix in Python

Matrix Multiplication - Normal Function to an Optimised Code

Apr 15, 20216 min read

Introduction If you had read my previous articles on matrix operations, by now you would have already know what a matrix is. Yes, a matrix is a 2D...

Matrix Multiplication - Normal Function to an Optimised Code

#6 - Detect Outliers Like a Detective

Apr 12, 20215 min read

Techniques of detecting outliers in the data · Outliers - In a Nutshell In order to understand what an outlier is, we can think of a great example that...

#6 - Detect Outliers Like a Detective