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advanced-python

applied-ai

attrition_prediction

Employee turnover (attrition) is a major cost to an organization, and predicting turnover is at the forefront of needs of Human Resources (HR) in many organizations. Until now the mainstream approach has been to use logistic regression or survival curves to model employee attrition. However, with advancements in machine learning (ML), we can now get both better predictive performance and better explanations of what critical features are linked to employee attrition. In this post, we’ll use two cutting edge techniques.

bank-marketing-analysis

basicdjango

Implementing a simple django project.

big-data-test

just checking how it works

classifying-images-of-clothing

we'll build and train a neural network to classify images of clothing, like sneakers and shirts. This guide uses the Fashion MNIST dataset, which contains 70,000 grayscale images in 10 categories.

contact-card

cost_function_example

data-analysis

The objective is to collect financials from the CDS table in N-Q, and N-CSR reports of SEC/EDGAR database servers.

data-engineering-gcp

Data Engineering on Google Cloud Platform

data-visualization-python

datacamp

DataCamp data-science courses

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

django-algolia

django-algolia1

Test Django with algolia

docker-react

dr.-semmelweis-and-the-discovery-of-handwashing

In this notebook, we're going to reanalyze the data that made Semmelweis discover the importance of handwashing. Let's start by looking at the data that made Semmelweis realize that something was wrong with the procedures at Vienna General Hospital.

git-attributes-test

htmlcss

image-classification-with-convolutional-neural-networks

In this tutorial, we'll build and train a neural network to classify images of clothing, like sneakers and shirts.

junaid388.github.io

learn

linear-programming

Linear programming is a mathematical process that allows us to look at all the parameters to determine a maximum or minimum value where all of the parameters can be modeled by lines.

mapping_wifi_wigle_r_py

movie-recommender

The dataset used was from MovieLens which is publicly available. Only two datasets have been used for building the model which are movies.csv and ratings.csv. It consist of 671 users who gave over 100,000 ratings for different movies.

multi-k8s

my-first-blog

mysql_elk_hurricanes

This tutorial is on importing data to Elasticsearch from MySQL to visualize with Kibana.

object-oriented-python

The simple example for using python in object oriented approach. The repo consist of OOPs concept such as Inheritance, Polymorphism and Encapsulation. The resources are taken from the learn programming.academy by Tim Buchalka