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Newsletter Dane i Analizy, 2021-05-03

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Comparison of JOINS: MongoDB vs. PostgreSQL | EDB
This is the second in a continuing series comparing MongoDB capabilities with those of Postgres. The first post covered “Schema Later Considered Harmful.”

Using Machine Learning to Predict Customers Next Purchase Day
Machine Learning model to predict whether customers will make their next purchase after a certain period. Image by Mediamodifier and can be accessed  here . Introduction If there is one major lesson that those in the retail business have learnt from the SARS-CoV-2 pandemic, it is the demand to (…)

Best Practices for R Programming. Writing clean code is a great skill to… | by Ivo Bernardo | Apr, 2021
Photo by @karsten_wuerth — Unplash.com This lecture is taken from my R Programming course available on the Udemy platform — the course is suitable for beginners and people that want to learn the fundamentals of R Programming. The course also contains more than 50 coding exercises that enable you to (…)

Practical SQL for Data Analysis
Pandas is a very popular tool for data analysis. It comes built-in with many useful features, it’s battle tested and widely accepted. However, pandas is not always the best tool for the job. SQL databases has been around since the 1970s. Some of the smartest people in the world worked on making it (…)

Deploying Python Flask microservices to AWS using open source tools
Data has become the language of business. Organizations leverage data to better understand and deliver value to their customers. As a result, there is a growing need in many organizations for flexible patterns that can be leveraged to develop new applications and functionality to interact with (…)

Stepping into the magical world of GANs
A step by step tutorial to GAN https://unsplash.com/photos/6dN9l-gopyo A generative model can potentially do magic, if trained properly it may write poetry, generate music, draw images like an expert. The objective of GAN is to generate synthetic samples after which are very realistic. GAN models (…)

Create A Photo Editing App With Python
I never thought it would be this easy

10 Python Tricks For Speed Up Your Code
Tricks To Let Your Python Code Run 10 Times Faster

How to Build Better Machine Learning Models
Tips, tricks, and guidelines for developing a good deep neural network Hello developers 👋. If you have built Deep Neural Networks before, you might know that it can involve a lot of experimentation. In this article, I will share with you some useful tips and guidelines that you can use to better (…)

How to write the perfect Data Science CV
These tips are also applicable to Software Engineers. Make a few changes in your CV and land that job! How to write the perfect Data Science CV was originally published in Towards Data Science on Medium, where people are continuing the conversation by highlighting and responding to this story.

Best Benchmarks for Reinforcement Learning: The Ultimate List
In this post, I’ll share with you my library of environments that support training reinforcement learning (RL) agents. The basis for RL research, or even playing with or learning RL, is the environment. It’s where you run your algorithm to evaluate how good it is. We’re going to explore 23 (…)

Deep Learning with Keras Cheat Sheet (2021), Python for Data Science
The absolute basics for beginners learning Keras for Deep Learning in 2021 Photo from Unsplash by Ashim D’Silva Keras is a powerful and easy-to-use deep learning library for TensorFlow that provides high-level neural network APIs to develop and evaluate deep learning models. Check out the sections (…)

Teaching a Neural Network to Play Cards
How I trained a neural network to play a trick-taking card game without requiring human input I picked a card game that I liked playing while growing up and my goal was to develop a system that can teach itself without human interaction and to arrive at a model that is good enough to beat (…)

Getting Started with MongoDB database for Data Science
This article was published as a part of the Data Science Blogathon. Data Science without data is similar to fishing without fish. When we talk about structured data, Database is the word that comes first to mind. There are various types of databases, here we will be looking at the NoSQL

Build with PyCaret, Deploy with FastAPI
A step-by-step, beginner-friendly tutorial on how to build an end-to-end Machine Learning Pipeline with PyCaret and deploy it as an API. PyCaret — an open-source, low-code machine learning library in Python 👉 Introduction This is a step-by-step, beginner-friendly tutorial on how to build an (…)

Using Graph Theory to Efficiently Solve Data Science Problems
Even the basics will get you started! Why should I learn this right now and not later? There are plenty of things to learn in the field of data science. Typically, as a Data Scientist, you tend to learn as you go. If your current task requires new methods, you do some research until you can solve (…)

How to make Topic Models Interpretable: 3 New Ideas
How to Make Topic Models Interpretable: 3 New Ideas Three Innovative Techniques for Tuning LDA Topic Model Outputs Topic modelling is an unsupervised machine learning approach which scans a set of documents, detects word and phrase patterns within them, and automatically clusters word groups and (…)


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