Python Archives - Machine Learning Plus

Pandas iloc – How to select rows using index in DataFrames?

Leave a Comment / Pandas / By MachineLearningPlus

Pandas iloc is a method for integer-based indexing, which is used for selecting specific rows and subsetting pandas DataFrames and Series. The command to use this method is pandas.DataFrame.iloc() The iloc method accepts only integer-value arguments. However, these arguments can be passed in different ways. In this article, you will understand different methods of subsetting …

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Vaex – Faster Pandas Alternate in Python

Leave a Comment / Python / By Shrivarsheni

Vaex Python is an alternative to the Pandas library that take less time to do computations on huge data using Out of Core Dataframe. It has fast, interactive visualization capabilities as well. Pandas is the most widely used python library for dealing with dataframes and processing. The popularity is due to the convenient, easy to …

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Pandas drop columns using dataframe.drop and all other methods

Leave a Comment / Pandas / By MachineLearningPlus

To drop a single column or multiple columns from pandas dataframe in Python, you can use `df.drop` and other different methods. Columns from a DataFrame are dropped if they are not relevant to your analysis or problem you are trying to solve. When building a machine learning models, they are removed if it is redundant …

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Matplotlib Plotting Tutorial – Complete overview of Matplotlib library

Leave a Comment / Plots / By Aurelien Geron

Matplotlib is the most popular Python library to plot beautiful graphs. This tutorial guides you to grasp fundamental plotting through reproducible examples. Useful Posts: 1. Matplotlib Beginners Tutorial 2. Top 50 Matplotlib Plots for Data Analysis Overview This tutorial takes you through the following well-rounded concepts: 1. Plotting your first graph 2. Line style and …

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Modin – How to speedup pandas by changing one line of code

Leave a Comment / Python / By Shrivarsheni

Modin is a python library that can be used to handle large datasets using parallelisation. The syntax is similar to pandas and its astounding performance has made it a promising solution. By changing just one line of code. This article shows you why you should start using Modin and how to use it with hands-on …

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Dask – How to handle large dataframes in python using parallel computing

2 Comments / Python / By Shrivarsheni

Dask provides efficient parallelization for data analytics in python. Dask Dataframes allows you to work with large datasets for both data manipulation and building ML models with only minimal code changes. It is open source and works well with python libraries like NumPy, scikit-learn, etc. Let’s understand how to use Dask with hands-on examples. Dask …

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Gradient Boosting – A Concise Introduction from Scratch

1 Comment / Machine Learning / By Shruti Dash

Gradient Boosting is a machine learning algorithm, used for both classification and regression problems. It works on the principle that many weak learners (eg: shallow trees) can together make a more accurate predictor. A Concise Introduction to Gradient Boosting. Photo by Zibik How does Gradient Boosting Works? Gradient boosting works by building simpler (weak) prediction …

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Complete Guide to Natural Language Processing (NLP) – with Practical Examples

3 Comments / NLP / By Shrivarsheni

Natural language processing (NLP) is the technique by which computers understand the human language. NLP allows you to perform a wide range of tasks such as classification, summarization, text-generation, translation and more. NLP has advanced so much in recent times that AI can write its own movie scripts, create poetry, summarize text and answer questions …

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Portfolio Optimization with Python using Efficient Frontier with Practical Examples

1 Comment / Machine Learning / By Shruti Dash

Portfolio optimization in finance is the technique of creating a portfolio of assets, for which your investment has the maximum return and minimum risk. Investor’s Portfolio Optimization using Python with Practical Examples. Photo by Markus In this tutorial you will learn: What is portfolio optimization? What does a portfolio mean? What are assets, returns and …

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What does Python Global Interpreter Lock – (GIL) do?

Leave a Comment / Python / By Shrivarsheni

The Global Interpreter Lock (GIL) of Python allows only one thread to be executed at a time. It is often a hurdle, as it does not allow multi-threading in python to save time. This post will tell you what exactly is GIL and why is it needed. This will also walk you through the alternate …

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How to use tf.function to speed up Python code in Tensorflow

Leave a Comment / Deep Learning, Python / By Shruti Dash

tf.function is a decorator function provided by Tensorflow 2.0 that converts regular python code to a callable Tensorflow graph function, which is usually more performant and python independent. It is used to create portable Tensorflow models. Introduction Tensorflow released the second version of the library in September 2019. This version, popularly called Tensorflow2.0 marked significant …

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Lambda Function in Python – How and When to use?

Leave a Comment / Python / By Venmani A D

Lambda Function, also referred to as ‘Anonymous function’ is same as a regular python function but can be defined without a name. 1. What is Lambda Function in Python? Lambda Function, also referred to as ‘Anonymous function’ is same as a regular python function but can be defined without a name. While normal functions are …

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Python Yield – What does the yield keyword do?

Leave a Comment / Python / By Venmani A D

Adding yield keyword to a function will make the function return a generator object that can be iterated upon. What does the yield keyword do? Approaches to overcome generator exhaustion How to materialize Generators? How yield works, step by step Exercise 1: Write a program to create a generator that generates cubes of numbers up …

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TensorFlow vs PyTorch – A Detailed Comparison

1 Comment / Deep Learning, Machine Learning, Python / By Shruti Dash

Compare the popular deep learning frameworks: Tensorflow vs Pytorch. We will go into the details behind how TensorFlow 1.x, TensorFlow 2.0 and PyTorch compare against eachother. And how does keras fit in here. Table of Contents: Introduction Tensorflow: 1.x vs 2 Difference between static and dynamic computation graph Keras integration or rather centralization What is …

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cProfile – How to profile your python code

1 Comment / Python / By Shrivarsheni

Reducing code runtime is important for developers. Python Profilers, like cProfile helps to find which part of the program or code takes more time to run. This article will walk you through the process of using cProfile module for extracting profiling data, using the pstats module to report it and snakeviz for visualization. By the …

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spaCy Tutorial – Complete Writeup

spaCy is an advanced modern library for Natural Language Processing developed by Matthew Honnibal and Ines Montani. This tutorial is a complete guide to learn how to use spaCy for various tasks. Overview 1. Introduction The Doc object 2. Tokenization with spaCy 3. Text-Preprocessing with spaCy 4. Lemmatization 5. Strings to Hashes 6. Lexical attributes …

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Python Collections – An Introductory Guide

Collections is a built-in python module that provides useful container datatypes. Container datatypes allow us to store and access values in a convenient way. Generally, you would have used lists, tuples, and dictionaries. But, while dealing with structured data we need smarter objects. In this article, I will walk you through the different data structures …

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Waterfall Plot in Python

Waterfall chart is a 2D plot that is used to understand the effects of adding positive or negative values over time or over multiple steps or a variable. Waterfall chart is frequently used in financial analysis to understand the gain and loss contributions of multiple factors over a particular asset. Contents Introduction Simple Waterfall Plot …

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Python JSON – Guide

JSON stands for JavaScript Object Notation. JSON is a lightweight data format used for data interchange between multiple different languages. It is easy to read for humans and easily parsed by machines. CONTENTS Brief Overview Purpose of JSON Serializing JSON dumps() function dump() function Deserializing JSON loads() function load() function Complex number encoding Complex JSON …

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Matplotlib Line Plot

Leave a Comment / Plots / By Venmani A D

Line plot is a type of chart that displays information as a series of data points connected by straight line segments. A line plot is often the first plot of choice to visualize any time series data. Contents What is line plot? Simple Line Plot Multiple Line Plot in the same graph Creating a secondary …

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Python

Pandas iloc – How to select rows using index in DataFrames?

Vaex – Faster Pandas Alternate in Python

Pandas drop columns using dataframe.drop and all other methods

Matplotlib Plotting Tutorial – Complete overview of Matplotlib library

Modin – How to speedup pandas by changing one line of code

Dask – How to handle large dataframes in python using parallel computing

Gradient Boosting – A Concise Introduction from Scratch

Complete Guide to Natural Language Processing (NLP) – with Practical Examples

Portfolio Optimization with Python using Efficient Frontier with Practical Examples

What does Python Global Interpreter Lock – (GIL) do?

How to use tf.function to speed up Python code in Tensorflow

Lambda Function in Python – How and When to use?

Python Yield – What does the yield keyword do?

TensorFlow vs PyTorch – A Detailed Comparison

cProfile – How to profile your python code

spaCy Tutorial – Complete Writeup

Python Collections – An Introductory Guide

Waterfall Plot in Python

Python JSON – Guide

Matplotlib Line Plot

Machine Learning A-Z™: Hands-On Python & R In Data Science

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