Data Science portfolio from Yandex.Practicum

This repository contains some selected Data Analytics / Machine Learning projects which I completed during my Data Science training at Yandex.Practicum.

Course description

Course provider: Yandex LLC
Website: https://practicum.yandex.com/

What is this course about?

A data scientist structures and analyzes large amounts of data, applies machine learning to predict events and detect non-obvious patterns. Helps to create and improve products in business, industry and science.

The course covers the basic tools of the profession: Python and its libraries, Jupyter Notebook, SQL.

For a better experience you can use nbviewer for displaying Jupyter Notebooks: https://nbviewer.jupyter.org/

Just copy the link of the Jupyter Notebook from the repository and insert it on nbviewer.

Course duration

June 2020 - February 2021 (8 Months)

Technology stack

Programming language: Python (ver. 3)
IDE: Jupyter Notebook, VS Code
Database: SQL
Libraries: Pandas, Numpy, Matplotlib, Seaborn, plotly, Scikit-Learn, CatBoost, LGBM, SQL Alchemy, Pymystem3, scipy, Keras

Projects

1. Identifying patterns which determine success of video games

Exploratory data analysis of gaming industry.

2. ML in business: risk and revenue prediction in oil industry

Machine learning model to predict revenue and loss risk.

3. ML in business: prediction of gold recovery rate in mining industry

Machine learning model to predict the gold recovery rate at stages of technological processing of gold-bearing ore.

4. Time Series: predict number of taxi orders

Machine learning model to predict the number of taxi orders per hour.

5. ML in business: car price prediction

Machine learning model to estimate the price of a used car.