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coursera_capstone

I intended to cluster the districts of Munich in this notebook, depending on their most frequent venue types. The district information was obtained through scraping Munich's city website. The pertinent geographic information was obtained through calls to the Google Maps API. The venue information is the courtesy of FourSquare API. This notebook was originally completed for an older iteraton of the final project of IBM Data Science Specialization on Coursera.

coursera_capstone_space_y

A sample project that encompasses all façades of a data science project: starting from data acquisition and ending with reporting. The EDA, both visual and query-based, followed by model building, and finally communicating the findings to the stakeholders through data viz and dashboards. IBM Data Science Capstone Project, Course #10

data-cleaning-rmotr-freecodecamp

deeplearning-models

A collection of various deep learning architectures, models, and tips

ds-content-interactive-jupyterlab-tutorial

A quick tutorial on how to use Jupyter Lab (the evolution of Jupyter Notebooks).

elm

Extreme Learning Machine(ELM): Python code

freecodecamp-intro-to-numpy

freecodecamp-intro-to-pandas

freecodecamp-pandas-real-life-example

geckodriver

WebDriver for Firefox

gee-atmcorr-s2

Atmospheric correction of a (single) Sentinel 2 image

geeguide

Harmonization of Landsat and Sentinel 2 in Google Earth Engine, documentation and scripts

mlep-public

Public repo for DeepLearning.AI MLEP Specialization

pandas-data-science-tasks

Set of real world data science tasks completed using the Python Pandas library

sample_regression_analysis

During my student assistantship, I was consultend on many different issues relating to analytics and descriptive statistics concerning the total teaching hours of the staff, the statistics of the exam results, etc. I was commissioned this one when we needed to change plans for the booking system we use. This is an ad-hoc regression analysis done to predict the amount of bookings we will receive in 2022 and develop a plan to answer for the increasing demand.

sealion

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

spoon-knife

This repo is for demonstration purposes only.

stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"