Simple Explanation on How Decision Tree Algorithm Makes Decisions
The decision tree is a very popular machine learning algorithm. It works for both linear and non-linear data. Also, it can be used for both classification and regression. With great…
Details of Violinplot and Relplot in Seaborn
Python’s Seaborn library is a very popular visualization library. It is built on Matplotlib and includes a lot of advanced plots with built-in styles. I have an article on Seaborn…
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Chi-Square Test for Correlation Test in Details: Manual and Python Implementation
Correlation tests are very common in statistics and machine learning. In statistics, a correlation test is important to understand the impact of different variables on the population. For example, say we developed…
Key rings background. (Nickel plated key rings)
Understanding Regularization in Plain Language: L1 and L2 Regularization
The meaning of the word regularization is “the act of changing a situation or system so that it follows laws or rules”. That’s what it does in the machine learning world…
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Common Data Cleaning Tasks in Everyday Work of a Data Scientist/Analyst in Python
Data cleaning is an essential part of your life if you are a data scientist, data analyst, or machine learning engineer. In real life, it is very hard to find…
A/B testing
What is A/B Testing? How to Perform an A/B Testing?
What is A/B Testing?A/B testing is a commonly used methodology in eCommerce to test new features or products. This is a process of making data-driven decisions for user interface, marketing, and…
Implementation of SimpleRNN, GRU, and LSTM Models in Keras and Tensorflow For an NLP Project
Recurrent neural networks (RNNs) are one of the states of the art algorithm in deep learning especially good for sequential data. It is used in many high-profile applications including Google’s…
Pandas functions
30 Very Useful Pandas Functions for Everyday Data Analysis Tasks
Python’s Pandas library is the most widely used library in Python. Because this is the data manipulation library that is necessary for every aspect of data analysis or machine learning.…
Exploratory Data Analysis with Python
Exploratory Data Analysis with Advanced Visualizations in Python’s Matplotlib and Seaborn Library
Exploratory data analysis is very important to understanding a dataset properly. It is even important for machine learning. I have a few exploratory data analysis projects published before. But this…
Mastering Histograms in Matplotlib
The histogram is one of the most popular plots. It is useful to understand the overall distribution of a continuous variable. So, almost in any data analysis or exploratory data…