Python - Data Blogger

Interactive Plots using Plotly Express: Line Plot and 3D Scatter Plot

This blog series is a beginners’ tutorial on how you can make interactive plots in a Jupyter notebook using Plotly Express. In this first blog post on this topic, we will go through the steps needed for creating a basic line Python plot and a 3D scatter plot. Basic line

Machine Learning

Detecting Pedestrians using PyTorch – A Helpful Guide

In this blog post, you will learn how to implement a Pedestrian Detection algorithm using PyTorch. Computer vision is a field of computer science that applies artificial intelligence models to understand, reason with as well as synthesize visual information. This visual information is usually in the form of a two-dimensional

Natural Language Processing

Finetune BERT on Google Colab: A Simple Tutorial

In this blog post, you will learn how you can finetune BERT on Google Colab and use the trained model for your NLP task. You will also learn how you can observe the performance of the model in the training phase. Why BERT and Google Colab? BERT is a language

Python

Simplify your PyTorch model using PyTorch Lightning

Code for machine learning can get repetitive. In this blog post, you will learn to combat code repetition by using PyTorch Lightning. Some code of machine learning can get highly repetitive. Think for example of the times you had to write a train loop, logging the evaluation results. Also loading

Python

Scale out your Pandas DataFrame operations using Dask

In Pandas, one can easily apply operations on all the data using the apply method. However, this method is quite slow and is not useful when scaling up your methods. Is there a way to speed up these operations? And if so, how? Yes, there is! This blog post will

Python

Should you Start Learning Python in 2018 (Guide)

Starting to learn programming most of the times is overwhelming because of the number of programming languages available to learn. This causes most of us to search for generic terms like “what is the easiest programming language to learn”. More than 90% of the websites on the internet claims that

Information Retrieval

Opinion mining on Dutch news articles

In this blog post, I will learn you how you can mine opinions about companies from news articles. I will share how I scraped thousands of news articles in a few minutes and how one could classify the opinion expressed in the titles of the news articles. This information could

Neural Networks

Hands-on: Creating Neural Networks using Chainer

This tutorial is a practical guide which helps you to create Neural Networks in Chainer. The focus is not on the architecture of the networks (more about Neural Network architectures is found in this post [https://www.data-blogger.com/2017/02/26/artificial-neural-nets-a-gentle-introduction/] ), but it is focused on creating a

Neural Networks

Create a Character-based Seq2Seq model using Python and Tensorflow

In this article, I will share my findings on creating a character-based Sequence-to-Sequence model (Seq2Seq) and I will share some of the results I have found. All of this is just a tiny part of my Master Thesis and it took quite a while for me to learn how to

Visualizations

Hitchhiker’s guide to Used Car Prices Estimation

What is your car’s worth? This tutorial will guide you through the steps for estimating it’s value by using Machine Learning techniques. I will use my Peugeot 106 as an example! Why Machine Learning at all? I discussed the price of my over 10-year-old vehicle with a family

R

R versus Python: A comparison

In this blogpost, I will share my first experience in using R. I am using Python for quite a while now and I am open minded for other technologies. What is R? R is an open source programming language and software environment for statistical computing and graphics that is supported

Python

A Neural Network for predicting Restaurant Reservations

In this tutorial, you will learn how to build a neural network model and how to visualize the results in Python.

Machine Learning

House Price Prediction using a Random Forest Classifier

In this blog post, I will use machine learning and Python for predicting house prices. I will use a Random Forest Classifier (in fact Random Forest regression). In the end, I will demonstrate my Random Forest Python algorithm! There is no law except the law that there is no law.

Python

Python Tutorial: Learn Python in one Day

Learn to code Python in this Python coding tutorial in just one day! In this tutorial, you will get your hands dirty and learn the basic principles of Python. Let’s get started! The Python Programming Language The object oriented Python programming language was invented back in 1991 by Guido

Python

Python Pandas Tutorial: The Basics

In this Python Pandas tutorial, you will learn the basics of Pandas by code examples written in Python. If you have zero knowledge of Python, please read this article [https://www.data-blogger.com/2017/11/28/python-tutorial-learn-python-one-day/] first. Pandas Tutorial: What is Pandas? Pandas [https://pandas.pydata.org/] is an

Python

Python IDE for Data Science: an Overview by Data Blogger

With the rise of Data Science, Python is more popular than ever. Therefore, it is important to use a great IDE (Integrated Development Environment) that suits your needs. This blog post gives an overview of the most popular IDEs used in Data Science. Introduction If your code is written in

Python

8 Important Python Interview Questions and Answers

Looking for a Python job? This article explains Python interview questions and answers them for you. It explains both some Python coding interview questions but also some non-technical questions. This article also contains Python interview questions and answers for testers which can form a source of inspiration. Slightly related is

Python

Python List Comprehension + Set + Dict Comprehension

Python List Comprehension support is great for creating readable but compact code for representing mathematical ideas. In this blog post, the concept of list, set and dictionary comprehensions are explained and a few examples in Python are given. Maybe slightly different but also interesting is this blog post [https://www.

Mathematics

Python Matplotlib, a Helpful Tutorial

In this Python Matplotlib tutorial series, you will learn how to create and improve a plot in Python using pyplot. Matplotlib is a 2D plotting library written for Python. It consists of pyplot (in the code often shortened by “plt”), which is an object oriented interface to the plotting library.

Python

PokerBot: Create your poker AI bot in Python

In this tutorial, you will learn step-by-step how to implement a poker bot in Python. Step 1 – Setup Python and Install Packages First, we need an engine in which we can simulate our poker bot. Install the following package (PyPokerEngine [https://github.com/ishikota/PyPokerEngine]) using pip [https://packaging.python.

Neural Networks

Python Deep Learning tutorial: Create a GRU (RNN) in TensorFlow

MLPs (Multi-Layer Perceptrons) [https://www.data-blogger.com/2017/02/26/artificial-neural-nets-a-gentle-introduction/] are great for many classification and regression tasks. However, it is hard for MLPs to do classification and regression on sequences. In this Python deep learning tutorial, a GRU is implemented in TensorFlow. Tensorflow is one of the many

Python

From Python Hero to Java Rockstar

Are you a Python Hero and do you want to learn more about Java? Then continue reading! I will discuss issues I’ve seen from a Pythonic viewpoint when I was learning Java. I will also talk about why Java is preferred over Python in some cases. Why Java at

Mathematics

Make a Profitable Portfolio using Python

In this tutorial, you will learn how to find a combination of stocks with high expected return and low risk using Python. Disclaimer: this should not be taken as financial advice. Please do your own research while investing money and do not solely rely on the predicted outcomes. Introduction to

Python

Tic-Tac-AI: A Strong Tic-Tac-Toe AI Opponent using Forward Sampling

You want to build your own Tic-Tac-Toe opponent? Then you need to read further! In the Tic-Tac-AI series, I will present a couple of Artificial Intelligence algorithms implemented as Tic-Tac-Toe opponent. In this first article, I will introduce a method called Forward Sampling which is capable of not losing any

Information Retrieval

Scrape Tweets from Twitter using Python and Tweepy

This tutorial guides you in setting up a system for collecting Tweets. Not in Apache Spark or Apache Flink, but just in Python + Tweepy. In many use cases, just a single computing node can collect enough Tweets to draw decent conclusions. In future blog posts, I will explain how to