We have all used MS Paint at some point in our lives, but its
capabilites are limited...or so you thought. Using PyAutoGui library one can
automate any application. For now I've tried to automate MS Paint to draw
concentric circles and sqaures. The possibilites are endless. The code
and some example images can be found below:
Here
Visualizing K-Means Clustering
K-means Clustering algorithm is one of the fundamental algorithms used
in machine (Unsupervised) learning. It enables researchers to visualize hidden
clusters in a random set of data, which in turn allows them to convert that random
data into powerful information. I have done the same but without the help
of any Data Science Library. Use Cases are ever expanding. The
code and some example images can be found below: Here
Perceptron in Action
Every Data Science enthusiast must have heard about Neural Networks and
its capabilities. One needs to know that any function can be approximated to
arbitrary accuracy by using two layers of such Neural Net. Perceptron on the
other hand is a Linear Classifier with limited capabilities. Nevertheless, Here I
have visualized Perceptron training without using any Data Science
library. The code and some example GIF can be found below: Here
Deciding
Production Lot Sizes
First thing to know about Capacitated Lot Sizing Problem is that it
belongs to the class of NP-Hard problems. With that in mind the main
objective is to determine the production lot sizes of every item on each machine per
period, while satisfying the demand and minimizing the cost associated with
it. I have implemented a small instance of this problem using DOCPLEX, a
python library from CPLEX. The code, method used and some example solutions can
be found below: Here
Automating Email Deletion
An Email ID serves as a medium of communication between you and various
platforms/services you have signed up for, because of which your inbox gets filled
with irrelevant promotions and newsletter. To tackle this problem I made a
program using a python library Selenium to automate the process of deleting
emails. The user will have to insert the sender's name in the
master_list.json and the algorithm will take care of rest. The code can be
found below: Here
Time
Series Forecasting:
ARIMA Models
Time Series Forecasting is crucial for many companies and if done
correctly it can be very rewarding. Based on Box-Jenkins Methodology, ARIMA models
are very powerful Data-Driven models which can perform exceptionally well and yeilds
reliable forecasts, but finding a suitable fit requires time and skill as it is an
iterative process. It is said and I quote "Box-Jenkins ARIMA modeling is more an
art than science." I have done my analysis considering such ARIMA models on
RStudio as well as Python. Analysis Reports and Source
code can be found below: RStudioPython
Hangman
on Python
We have all played Hangman or as known in India
'Hollywood/Bollywood', at least once in our childhood. Thus, I decided to
bring back the nostalgia by making the same game we used play in free periods.
Thanks to OMDb's API serive, the best part about this built is the non-requirement
of any movie database which helped to deploy the project online on a static page.
Therefore with an active internet connection anyone can play this game. Click the
Play button to be redirected to the game. (Note: Play on a bigger screen
for better experience.) Play
Vizzing
with Tableau
Tableau is a powerful data visualizing tool which enables users to
create interactive dashboards or so called Viz in Tableau's environment. It
is a must for any data professional for delivering effective reports. I have
compared and summarized the growth of Video Games against Cinemas by taking 20
titles which generated highest revenue from the last 20 years. The result and the
dashboard can be seen by clicking the link down below. Show Viz
