Project 3
After learning about Data Science in depth, it is now time to implement the knowledge gained through this course in real-life scenarios. We will provide you with four scenarios where you need to implement data science solutions. To perform these tasks, you can use the different Python libraries such as NumPy, SciPy, Pandas, scikit-learn, matplotlib, BeautifulSoup, and so on.
Perform a service request data analysis of New York City 311 calls. You will focus on the data wrangling techniques to understand the pattern in the data and also visualize the major complaint types.
The required resources for this project is available in Downloads section (Learning Tools > Downloads > Projects). Good Luck!
Project 04
Data Science with Python — Real World Project
After learning about Data Science in depth, it is now time to implement the knowledge gained through this course in real-life scenarios. We will provide you with four scenarios where you need to implement data science solutions. To perform these tasks, you can use the different Python libraries such as NumPy, SciPy, Pandas, scikit-learn, matplotlib, BeautifulSoup, and so on.
Movielens Dataset Analysis
The GroupLens Research Project is a research group in the Department of Computer Science and Engineering in the University of Minnesota. The researchers of this group are involved in many research projects related to the fields of information filtering, collaborative filtering, and recommender systems. Here, we ask you to perform the analysis using the Exploratory Data Analysis technique. In particular, we want you to apply the tools of machine learning to predict the survivors of the tragedy.
The details of these projects and the scope of each project are listed in the sections below.
The required resources for this project will be available in the Downloads section (Learning Tools > Downloads > Projects). Good Luck!