/amsterdam-airbnb

Performed exploratory data analysis, data cleansing and modeling of Airbnb dataset containing 130k records to capture customer preferences and existing market in Amsterdam using Python. Created visualizations to get insights into the data and applied 4 statistical data models using Scikitlearn package and performed model evaluation in which linear regression model achieved the highest accuracy rate of 65%. Provided 3 recommendations to investors based on sentiment analysis and data visualization.

Primary LanguageJupyter Notebook

amsterdam-airbnb

Performed exploratory data analysis, data cleansing and modeling of Airbnb dataset containing 130k records to capture customer preferences and existing market in Amsterdam using Python. Created visualizations to get insights into the data and applied 4 statistical data models using Scikitlearn package and performed model evaluation in which linear regression model achieved the highest accuracy rate of 65%. Provided 3 recommendations to investors based on sentiment analysis and data visualization.