Data analysis and data science projects from the Yandex Bootcamp
| Project name | Description | Skills | Libraries |
|---|---|---|---|
| Car price | Factors influencing car prices posted in a web page | Data cleaning, dealing with missing values | pandas, numpy, matplotlib |
| Mobile tariff analysis | Revenue comparisons between mobile plans | EDA, Hypothesis test | pandas, numpy, scipy, matplotlib |
| Games ratings analysis | Videogames ratings analysis and regional consumer profile based on trends | Data cleaning, mergin, visualization and analysis using hypothesis tests | pandas, scipy, seaborn, matplotlib |
| Phone plan recommendation | Phone plan recomendation based on customer behavior using machine learning models | Machine learning, model evaluation | pandas, sklearn |
| Bank customer churn prediction | Prediction of bank customer churn based on customer behavior to develop customer retention strategies | Build supervised learning models (logistic regression, decision trees and random forest) with class imbalance (up-, down-sampling), and model evaluation | pandas,sklearn |
| Oil well prospection | Data driven decision for selecting profitable regions to drill oil wells | Prediction using linear regression. Bootstrap for generating random distribution for risk assessment | pandas, scipy, sklearn |
| Gold extraction model | Linear regression models to predict the amount of gold extracted in different stages of purification process with the aim to optimize production | Linear regression, data visualization, custom made evaluation metrics | pandas, sklearn,seaborn |
| Insurance benefits prediction | Prediction of insurance benefits using masked data for personal data protection | Linear regression using masked data applying linear algebra | pandas, numpy, math, sklearn |
| Car price predictive models | Prediction of second hand car selling prices using regression models | Regression models, comparision of models' quality in terms of fitting time and RMSE | pandas, sklearn, lightGBM, Catboost |
| Cab orders prediction | Cab order prediction at an airport using time series | Time series, Regression models | pandas, sklearn, statmodels |
| Movie reviews sentiment analysis | Automatic classification of movies reviews using machine learning sentiment analysis | Text preprocessing, regular expressions, TF-IDF, BERT embiddings, ML | sklearn, spaCy, NLTK, transformers |