A Complete Guide for Detecting and Dealing with Outliers
Outliers can be a big problem in data analysis or machine learning. Only a few outliers can totally alter a machine learning algorithm's performance or totally ruin a visualization. So,…
Dealing with Null Values in Python
6 Ways to Dealing With Null Values
Null values are a big problem in machine learning and deep learning. If you are using sklearn, TensorFlow, or any other machine learning or deep learning packages, it is required…
How to Create and Use Multi-Index DataFrame to Scale Up Your Data Analysis
In most of the DataFrames, we see one index that works as a row identifier. But what if there is more than one index in a DataFrame. Is multi-index DataFrames…
Animated and Racing Bar Plots Tutorial
Bar plot is pretty basic and very common. All the plotting libraries have bar plot options for sure. This article will focus on the animated bar plot. I will share…
SQL queries and clauses
An Overview of the SQL Query Clauses and Functions
SQL is probably the most widely used tool in the world of Data Science, Analysis, or Engineering. In most job postings SQL is one of the common requirements. There are…
PySpark RDD Functions
20 Very Commonly Used Functions of PySpark RDD
Apache Spark is very popular in Big Data Analytics. It uses a distributed processing system. PySpark is the interface for Apache Spark in Python. When you have a huge dataset…
Regression in Tensorflow
Regression in TensorFlow Using Both Sequential and Function APIs
Tensorflow is arguably the most popular package in deep learning and the neural network domain. I wrote a few different tutorials before on Regular Dense Neural Networks, CNN structure, and…
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…
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…