# Blog

Welcome to my blog.
Here, I write about technical challenges and ‘hacks’ mostly related to *machine-learning, algorithms, data pipelines, web-development* and *Python language* in general.
Hope you find them useful in your work. Either way, let me know. Things can alwyas be improved.

## Content:

python jupyter colaboratory
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Run Jupyter Lab on Google Colaboratory

python math keras
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Multi-Layer Perceptron & Backpropagation - Implemented from scratch

python math
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The Maw of Chaos - why time forecasting is so challenging?

algorithms python math monte carlo
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Is Financial Independence a product of fortune?

algorithms python numpy scipy sklearn tensorflow math
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Polynomial Regression - which python package to use?

algorithms python scipy math
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Financial Independence - simulating ODEs with python

algorithms python data-science story
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Hidden Markov Model - A story of the morning insanity

algorithms python data-science
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Hidden Markov Model - Implemented from scratch

algorithms python data-science
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Weighted K-Means Clustering example - artificial countries

python algorithms machine-learning
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Restoring intuition over multi-dimensional space

python algorithms machine-learning
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Surviving zombie apocalypse with random search algorithm

python numpy
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Training on batch: how do you split the data?

python mathematics
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Using dunder methods to refine your data model

google colaboratory github workflow
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Colaboratory + Drive + Github -> the workflow made simpler

algorithms python data-science
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Top three mistakes with K-Means Clustering during data analysis

numpy pandas
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Performance of numpy and pandas - comparison

django
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AJAX calls in Django 2.2

pandas python analytics
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Categorical sequences with Pandas for household expense control

pip-package azure
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Hosting private pip packages using Azure Artifacts

google colaboratory
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Interacting with custom libraries in Google Colaboratory

python
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Python and Fuzzy Front End

django, celery
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Celery-Inception: Tasks Inside Tasks

django
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Dynamic Forms In Django

django, celery
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Django and Celery - demo application, part III: deployment.

django, celery
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Django and Celery - demo application, part II: expanding.

django, celery
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Django and Celery - demo application, part I: building.

keras, tensorflow, scikit
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Porting trained models using different machine-learning frameworks.

matlab, python
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From Matlab towards Python

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