These are Data Science projects I completed when going through the Data Science training course in Practicum by Yandex. They involve Data Preprocessing, Analysis and Visualization, Statistical Analysis, Machine Learning, Machine Learning for texts, Time Series, Computer Vision, etc.
| Project | Description | Libraries |
|---|---|---|
| Credit Score Analysis | Utilizing different metrics to determine the likelihood that a customer defaults on a loan | pandas, ntlk |
| Vehicle Price Analysis | Studying vehicle ads to determine what factors influence vehicle price | pandas, matplotlib, numpy |
| Phone Plan Analysis | Selecting the plan with the highest potential revenue for different target markets and conducting hypothesis testing | pandas, matplotlib, scipy, numpy, nltk |
| Video Game Analysis | Identifying patterns that determine a game's success, creating a user profile for each target market, and conducting hypothesis testing | pandas, matplotlib, scipy, numpy, nltk |
| Taxi Company Analysis | Identifying the top taxi companies, neighborhoods with the most drop-offs, and conducting hypothesis testing | pandas, matplotlib, scipy, numpy, nltk |
| Telecom Plans ML Model | Studying customer behavior and building a machine learning model that recommends phones plans | pandas, sklearn |
| Bank Customers Model | Creating a classification model to predict customer churn from an imbalanced dataset | pandas, sklearn |
| Oil Well Model | Analyzing data from several petroleum reservoir regions and oil wells to calculate the profitability and risk of loss of developing a new well in each region | pandas, numpy, matplotlib, seaborn |
| Gold Extraction Model | Building a machine learning model that predicts the amount of gold recovered from the extraction process so as to optimize production | pandas, matplotlib, numpy, sklearn |
| Insurance Company Data Masking | Developing a data transforming algorithm for data masking, ensuring that it does not impact the quality of a machine learning model | pandas, numpy, sklearn |
| Car Price Model | Building a model using historical car data for an app feature that can determine the market value of a user's car | pandas, numpy, sklearn, time, catboost, lightgbm |
| Taxi Orders Model | Using historical data on taxi orders at airports to create a model that predicts the amount of taxi orders for any given time frame | pandas, numpy, matplotlib, sklearn, catboost, lightgbm, statsmodels |
| Movie Sentiment Analysis | Training a model that classifies positive and negative reviews | pandas, numpy, math, re, nltk, matplotlib, seaborn, tqdm |
| Supermarket Chain Model | Training and evaluating a model to automatically detect the age of a customer at a checkout counter | pandas, numpy, matplotlib, seaborn, tensorflow |
| Telecom Client Churn Model | Training a model to forecast if a client is going to leave | pandas, numpy, sklearn, catboost, lightgbm |