vladekq,Vladislav Polyakov,github

Hi there 👋

My name is Vladislav Polyakov 🧑

I've been learning Python for about 4 years now and studying Data Science for more than 2 years. I'm currently working at "Sberbank" as Data Analyst.

Right now i'm focused on Machine Learning and taking a part in ML competitions. Here is a few works from competitions:

🎌 My competitions notebooks:

⚽ Football League Winners Prediction Challenge - Predicting the outcome of a football match

📋 Tabular Playground Series - The August 2022 edition of the Tabular Playground Series

⭐ My last projects:

📡 Telecom Company Tariffs Research - Researching of the Telecom Company for the definition of the most profitable tariff

🏦 Research of borrowers - Borrower Reliability Research

🏠 Real Estate Research - Research of factors influencing the price of a real estate

🆎 Online Store A/B Testing - A study of the indicators of two versions of the online store

🔬 Singular Value Decomposition vs. Support Vector Machines: A Comparative Study for Handwritten Digit Recognition
The development and implementation of a unique algorithm for handwritten digit recognition using Singular Value Decomposition (SVD)

🆎 Website CTR A/B Testing - A/B testing different versions of webpages in order to increase CTR

📫 How to reach me:

e-mail: [email protected]

telegram: @vladekq

Vladislav Polyakov's Projects

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

The site launched an A/B test in order to increase income. The excel file contains raw data on the results of the experiment (user_id), sample type (variant_name) and income brought by the user (revenue). Dataset: https://www.kaggle.com/datasets/sergylog/ab-test-data

russian_stock_price_predicting

Package designed to provide investors and financial analysts with valuable insights into the future performance of Russian stocks by leveraging historical stock price data and advanced machine learning algorithms

svm_svd_mnist_classifier

This exciting project involves the development and implementation of a unique algorithm for handwritten digit recognition using Singular Value Decomposition (SVD) and the MNIST dataset

telecom_customer_churn_project

Analysing Customer Churn Data and predicting churn

website_ab_testing

The site launched an A/B test in order to increase CTR metric. The csv file contains raw data on the results of the experiment (user_id), sample type (variant_name) and views by the user (views) and clicks by the user (clicks). Dataset: https://www.kaggle.com/datasets/sergylog/ab-test-aggregated-data

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