A curious data scientist

Aniroodh Sarkar  • Peerlist

The Project contains code and explanations for creating and analyzing the large dataset related to supply chain service. The code and explanations contains the following task: Exploring the data quality and data distribution of the dataset using pandas and matplotlib libraries. Creating new features based on the existing data and applying proper statistical test to make sense of raw data

Feature Engineering for a Supply Chain Servic

This Project aims to discover the factors affecting the demand for shared electric cycles in the Indian market  using various python libraries {Pandas, NumPy, Seaborn, MinMaxScaler } and statistical tests {Anova,ttest,KStest,Chi-Square} . The Project aims to answer the following questions: What are the factors that influence the demand for bike sharing? How does the demand vary by season, weather, day of week, and hour of day? Is there a difference in the demand between registered and casual users?