Hi! I'm Maria Khalusova
I blog about data science and tech.
Home
Posts
About
Talks
2021
Part of speech tagging with Hidden Markov Model in Kotlin
Mar 8
2020
Baseline Sentiment Analysis with Naive Bayes in Kotlin
Sep 15
2019
Machine Learning Model Evaluation Metrics part 3: Regression
Apr 24
Machine Learning Model Evaluation Metrics part 2: Multi-class classification
Apr 17
Machine Learning Model Evaluation Metrics part 1: Classification
Apr 11
Cleaning data with pandas
Jan 31
Pandas in anger
Jan 17
2018
Getting data, part 3: APIs
Dec 20
Getting data, part 2: web scraping and the walking dead
Dec 7
Getting data, part 1: reading a messy CSV, querying a database
Nov 22
7 Jupyter Notebook Tips and Tricks
Nov 15
Key Tools and Skills for Data Science
Nov 12
My Journey to Data Science
Nov 2
Neural Networks and Deep Learning Basics
Mar 6
Evolving my NN model from pure numpy to tensorflow to keras
Feb 14
Predicting survival of Titanic passengers
Jan 15
2017
Broadcasting in NumPy
Dec 7
Logistic Regression Cheat Sheet
Nov 17
Linear Regression Cheat Sheet
Nov 2
Python and Data Science Learning Resources
Oct 30
Jupyter Notebook in PyCharm
Sep 14
Pandas Data Structures: DataFrame basics
Sep 8
Pandas Data Structures: Series
Aug 31
List Comprehensions
Aug 22
Top 10 PyCharm shortcuts for Python learners
Jul 26
Ready, Steady, Blog! GitHub.io, Jekyll, Docker
Jul 24
