Project 01: Music Preferences Analysis
Pythonpandas
Analyzed and compared music preferences between two different cities to identify patterns and trends in listening habits.
Data Science Projects
A comprehensive portfolio of data science and machine learning projects, showcasing various techniques and technologies.
Project 02: Credit Scoring Analysis
Pythonpandas
Evaluated various metrics to predict the likelihood of a customer defaulting on a loan, helping financial institutions make informed lending decisions.
Project 03: Vehicle Price Analysis
Pythonpandasnumpymatplotlib
Investigated factors influencing vehicle prices by analyzing classified ads data to assist in better pricing strategies.
Project 04: Cell Plans Analysis
Pythonpandasnumpymatplotlibmathscipy
Examined client behavior and identified which telecom packages generate the most income, providing insights for marketing and sales strategies.
Project 05: Video Games Analysis
Pythonpandasnumpyscipymatplotlib
Tested hypothesis regarding video game users and critics to determine promising projects and plan effective advertising campaigns.
Project 06: Taxi Trip Analysis
Pythonpandasnumpyscipymatplotlib
Analyzed taxi trip durations in relation to weather conditions to test and validate hypotheses, aiding in optimizing taxi services.
Project 07: Cell Phone Plans Prediction
PythonpandassklearnDecision TreeRandom ForestLogistic Regression
Developed a classification model to help clients select the best cell phone plan, achieving a performance metric of at least 0.75.
Project 08: Client Retention Prediction
PythonpandasmatplotlibsklearnDecision TreeRandom ForestLogistic Regression
Created a prediction model for client retention with an F1 score of at least 0.59, helping businesses improve their customer retention strategies.
Project 09: Oil Well Location Prediction
PythonpandasnumpyscipymatplotlibsklearnRandom ForestLinear Regression
Validated oil reserve volume prediction models and calculated profits and risks for different regions, aiding in strategic decision-making for OilGiant's operations.
Project 10: Gold Production Modeling
PythonpandasnumpymatplotlibsklearnLinear RegressionDecision TreeRandom Forest
Modeled the production process in the gold mining industry to improve efficiency and developed a prototype machine learning model for industrial applications.
Project 11: Insurance Modeling
PythonnumpypandasseabornmatplotlibsklearnmathK-Nearest Neighbors
Identified similar customers and predicted insurance benefit amounts while ensuring data privacy, enhancing customer service and risk management in insurance.
Project 12: Car Price Prediction
PythonnumpypandasmatplotlibsklearncatboostLightGBMXGBoostDecision TreeRandom ForestLinear Regression
Built a model to determine market value of cars with an emphasis on prediction quality and speed, supporting automotive market analysis.
Project 13: Taxi Orders Prediction
PythonnumpypandasstatsmodelssklearnDecision TreeRandom ForestLinear RegressionLGBM
Predicted the number of taxi orders in the next hour with a RECM metric not exceeding 48, helping optimize taxi fleet management.
Project 14: Movie Reviews Categorization
PythonnumpyrepandasseabornmatplotlibnltktransformerstqdmspacysklearnLogistic RegressionLGBM
Trained models to automatically detect negative movie reviews, aiding in sentiment analysis and customer feedback management.
Project 15: Face Identification
PythonpandasnumpymatplotlibPILtensorflow.kerasCNNSequentialGlobalAveragePooling2DDenseDropout
Built and evaluated a neural network regression model to estimate age based on photographs, supporting biometric analysis applications.
Project 16: Customer Retention Prediction
PythonnumpypandasmatplotlibtensorflowsklearnLogistic RegressionDecision TreeRandom ForestCNN
Developed a model predicting contract cancellations with an AUC-ROC greater than or equal to 0.75, helping businesses reduce churn rates.