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Portfolio of Data Science projects Yandex Practicum "Specialist in Data Science"

Completed Data Science projects throughout Yandex Practicum "Specialist in Data Science" training course

Link to visual portfolio - my portfolio

Project name Description Libraries used
Sentiment analysis: Toxic comments identification Building a system that identifies toxic comments and sends them to be edited/viewed. Building a model that classifies comments into positive and negative. pandas numpy seaborn scipy datetime nltk xgboost lightgbm
Personal data encryption Developing an encryption algorithm so that after data transformation, the accuracy of Machine Learning models will not change as without transformation. Building a system (ML model) on encrypted data. Creating a custom Linear Regresssion model. pandas numpy seaborn scipy random
Forecasting taxi orders Buidling a system for predicting the number of taxi orders for the next hour to attract more drivers during peak periods. Build a model that predicts number of taxi orders in next hour. pandas numpy seaborn sklearn catboost xgboost lightgbm statsmodels
Optimization of gold mining company production Optimizing gold mining production to avoid launching enterprises with unprofitable characteristics. Build a machine learning model to predict the recovery rate of gold from gold ore pandas numpy matplotlib seaborn scipy sklearn
Pattern identification that determine success of the game Analyzing open-source game data to identify patterns/metrics that determine the success of a game. Proposing recommendations for future actions. pandas, numpy, matplotlib, seaborn, scipy
System to determine car value Building a system to determine car value quickly using Gradient Boosting Machine Learning models pandas numpy sklearn xgboost catboost lightgbm matplotlib seaborn scipy
Analyzing borrowers’ risk of defaulting Evaluating the borrower's risk of defaulting. Finding possible causes of loan defaulting in bank customers data. Proposing a preferable client for the bank to take a loan. pandas,numpy,matplotlib,seaborn,nltk,missingno

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