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Biana Grinshpoon's Projects

churn-predictions-telecom-company icon churn-predictions-telecom-company

The telecom operator would like to be able to forecast their churn of clients. If it's discovered that a user is planning to leave, they will be offered promotional codes and special plan options. The marketing team has collected some of their clientele's personal data, including information about their plans and contracts.

yandex-practicum-ml-numerical-methods icon yandex-practicum-ml-numerical-methods

A compnay for car sales service is developing an app to attract new customers. In that app, you can quickly find out the market value of your car. You have access to historical data: technical specifications, trim versions, and prices. You need to build the model to determine the value. The company is interested in: the quality of the prediction the speed of the prediction the time required for training

yandex-practicum-ml-time-series icon yandex-practicum-ml-time-series

This project contain a data of taxi orders at airports. The aim of this project is to predict the number of taxi orders for the next hours, to attract more drivers at peak hours.

yandex_practicum---ml-in-business---oil-wells-profit-prediction icon yandex_practicum---ml-in-business---oil-wells-profit-prediction

In this project, the main objective is to find the best place out of three regions to develop new 200 oil wells. We will build a model for predicting the volume of reserves in new wells, pick the wells with the highest estimated reserves, and then choose the region with the highest estimated total profit for the selected oil wells.

yandex_practicum--ml--customers-churn-prediction icon yandex_practicum--ml--customers-churn-prediction

The customers of the bank are leaving: little by little, chipping away every month. In this project, we need to predict whether a customer will leave the bank soon or not. We will build a model with the maximum possible F1 score - at least 0.59, and also measure the AUC-ROC metric.

yandex_practicum-ab-test-and-hypotheses-prioritization icon yandex_practicum-ab-test-and-hypotheses-prioritization

In this project, we will analyze the data of a big online store. The store wants to boost its revenues, so the marketing department compiled some hypotheses that may help accomplish this objective. The main goal of this project is to prioritize the hypotheses and analyze the results of the A/B test.

yandex_practicum-online-store-business-analysis icon yandex_practicum-online-store-business-analysis

In this project, we will analyze the data of an online store, that sells products of all kinds. The main goal of this project is to get insights that will help us optimize the marketing expenses of the store. To achieve that we are going to conduct a business analysis of the data.

yandex_practicum-restaurant-market-research icon yandex_practicum-restaurant-market-research

In this project, we will process data of restaurants some market analysis. The goal is to find out whether an innovative restaurant with small robot waiters can maintain its success after its novelty wears off, or is it just a gimmick that will end.

yandex_practicum-user-behavior-and-aab-test-analysis icon yandex_practicum-user-behavior-and-aab-test-analysis

In this project we will analyze data of an online store that sells food. We will check the users funnel and see how many users make the entire journey from the main screen to the payment screen, and how many are quit in the middle or at the beginning. Also, we will check the results of an A/A/B test that checks whether changing the fonts for the entire app will change the users' behavior and increase revenues or not.

yandex_practicum-video-games-finding-the-pattern-to-success icon yandex_practicum-video-games-finding-the-pattern-to-success

In this project, we will analyze the data of an online store that sells video games all around the world. The data contain users and experts reviews, genres, platforms (e.g. Xbox or PlayStation), and so on. The main goal of this project is to identify patterns that determine whether a game succeeds or not, which will help to spot potential games and recommend the store the best advertising campaign.

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