A simple guide to build an image classification model in Python using the ResNet-50 convolutional neural network architecture

The image classifier detects Channing Tatum in this image with 95.9 % probability (img source)

Introduction

  • What the intuition is behind the process of a deep learning convolutional neural network
  • How to install the keras_vggface library and use these models in a real life project
  • How you can let the model generate a prediction on which celebrity is most similar to…


Use Python to get a detailed view on your customer key metrics by performing a cohort analysis

Image source: Pixabay

This Article is for You

  • Why your churn rate is vital for your business strategy
  • How you can calculate Customer Churn and Customer Retention
  • How you perform a Cohort Analysis to take into account the customer lifetime cycle in Python

Concepts


Trade-off of automating this process
  • pywin32: This package is basically vba for python. It allows us to interact and automate Windows applications with python.
  • os: This package allows us to use the operating system.
  • glob: This package allows us to create a list with the different file locations
import win32com.client
import os
import glob
  • You initialize the win32com and…


Trade off of automating this task

Situation to be automated

Process

  • source location: the location of where you store all your received e-mails
  • output location: the location of where you want to output all the excel attachments


Photo by Shahadat Rahman on Unsplash

What You will learn in this article

  • Convert multiple currencies to one single currency
  • Apply historic exchange rates
  • Apply this on a pandas dataframe

Let’s get you started!

  1. Download the dataset
  2. Import necessary python packages
  3. Load in the data
  4. Apply currency conversion over the dataset

Step 1: Download dataset

Step 2: Import necessary python packages

!pip install forex_pythonfrom forex_python.converter import CurrencyRates
import pandas as pd

Step 3: Load in and prepare the dataset


Automate The Audit Process With Python

Photo by Chris Ried on Unsplash

What You will learn in this article

  • Reduce your time sampling from one hour to one minute
  • Example code on how to transform your file to the best format
  • Rationale behind the steps

Set-up

  1. Load in the population in Python
  2. Remove the entities not in scope
  3. Create a random sample
  4. Export to excel

Step 1


Valuation 💰

  • EV / NTM Revenue

Photo by Pascal Müller on Unsplash
  1. How you should use the Pandas transform function in combination with groupby()
  2. Use cases of the transform function

1. Pandas transform function

Ewoud

Strategy & Data Science | Passionate about the application of analytics in a strategy context

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