Ksenia (Ksyula)

Ksyula

Geek Repo

Location:Berlin, Germany

Home Page:www.legostay.com

Github PK Tool:Github PK Tool

Ksenia's repositories

ML_Engineering

Machine Learning Engineering Camp 2022

Language:Jupyter NotebookStargazers:40Issues:3Issues:0

Salary-report

Salary report analysis & visualization with pandas and plotly

Multithreading-Scraping-in-Python

Multithreading web scraping with real-time-changing proxy-servers

CNN-Classifier-for-dog-breeds

With CNN pertained models the service define whether the image is a dog and what breed of this dog.

Language:PythonStargazers:4Issues:0Issues:0
Language:Jupyter NotebookStargazers:4Issues:0Issues:0

churn_prediction

Prediction of customer churn with TensorFlow & Keras

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:1Issues:0Issues:0

default_prediction

Predict the probability of default

Language:Jupyter NotebookStargazers:1Issues:0Issues:0

ML-Recommender-System-RShiny

Rule-based Recommender System using Apriori algorithm for frequent item set mining and association rule learning.

Language:RStargazers:1Issues:0Issues:0

mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

Language:Jupyter NotebookStargazers:1Issues:0Issues:0

mlbookcamp-homeworks

Homeworks, Midterm, & Capstone from ML BookCamp

Language:Jupyter NotebookStargazers:1Issues:0Issues:0
Language:Jupyter NotebookStargazers:1Issues:0Issues:0

scikit-uplift

:exclamation: uplift modeling in scikit-learn style in python :snake:

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

data-science-interviews

Data science interview questions and answers

Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

llm-experiments

My playground for experimentation with LLM

Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Language:PythonLicense:MITStargazers:0Issues:0Issues:0

ML-Feature-Selection-in-Python-scikit-learn

Experiments with 4 different feature selection methods with the model accuracy comparison.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

mleko

Simplify and accelerate your machine learning development with mleko. Designed with modularity and customization in mind, it seamlessly integrates into your existing workflows. Its robust caching system optimizes performance, taking you from data ingestion to finalized models with unparalleled efficiency.

License:Apache-2.0Stargazers:0Issues:0Issues:0

RShiny-with-d3-visualisation

Playground for integration of D3 packages (r2d3, d3Network, d3r) into R Shiny

Language:RStargazers:0Issues:1Issues:0

SQLite-SQLQueries

SQL queries of different complexity.

Stargazers:0Issues:0Issues:0

Twitter_users_analysis

Twitter users on map

Language:RStargazers:0Issues:0Issues:0