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 machine-learning data

Title:
How to handle autoregressive model over multiple time series?

python etl

Title:
Convenient scheduler in python

numpy python data-science

Title:
How to write better scientific code in Python?

pandas sql python data-science

Title:
Aggregations on time-series data with Pandas

algorithms python data-science

Title:
Decision Tree - Implemented from scratch

sql python pandas

Title:
Why using SQL before using Pandas?

python jupyter colaboratory

Title:
Run Jupyter Lab on Google Colaboratory

python math keras

Title:
Multi-Layer Perceptron & Backpropagation - Implemented from scratch

python math

Title:
The Maw of Chaos - why time forecasting is so challenging?

algorithms python math monte carlo

Title:
Is Financial Independence a product of fortune?

algorithms python numpy scipy sklearn tensorflow math

Title:
Polynomial Regression - which python package to use?

algorithms python scipy math

Title:
Financial Independence - simulating ODEs with python

algorithms python data-science story

Title:
Hidden Markov Model - A story of the morning insanity

algorithms python data-science

Title:
Hidden Markov Model - Implemented from scratch

algorithms python data-science

Title:
Weighted K-Means Clustering example - artificial countries

python algorithms machine-learning

Title:
Restoring intuition over multi-dimensional space

python algorithms machine-learning

Title:
Surviving zombie apocalypse with random search algorithm

python numpy

Title:
Training on batch: how do you split the data?

python mathematics

Title:
Using dunder methods to refine your data model

google colaboratory github workflow

Title:
Colaboratory + Drive + Github -> the workflow made simpler

algorithms python data-science

Title:
Top three mistakes with K-Means Clustering during data analysis

numpy pandas

Title:
Performance of numpy and pandas - comparison

django

Title:
AJAX calls in Django 2.2

pandas python analytics

Title:
Categorical sequences with Pandas for household expense control

pip-package azure

Title:
Hosting private pip packages using Azure Artifacts

google colaboratory

Title:
Interacting with custom libraries in Google Colaboratory

python

Title:
Python and Fuzzy Front End

django, celery

Title:
Celery-Inception: Tasks Inside Tasks

django

Title:
Dynamic Forms In Django

django, celery

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

django, celery

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

django, celery

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

Title:
JSON in context of machine-learining.

keras, tensorflow, scikit

Title:
Porting trained models using different machine-learning frameworks.

matlab, python

Title:
From Matlab towards Python

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