Investigating Netflix Movies and Guest Stars in The Office
Investigating Netflix Movies and Guest Stars in The Office
In the Investigating Netflix Movies and Guest Stars in The Office project, you will use data manipulation and visualization to solve a real-world data science problem. You will perform deep exploratory data analysis and draw conclusions from detailed graphs.
Image from the project
You can work on a portfolio project by applying similar skills to a new dataset: Netflix Movie Data. Furthermore, you can take Exploratory Data Analysis in Python to learn more about data cleaning and validation, understand the relationship and distribution, and explore multivariate relationships.
Predictive Analytics Projects
11. Will This Customer Purchase Your Product?
In the Will This Customer Purchase Your Product? project, you’ll analyze customer shopping behaviors using statistics and probability techniques. With Python, you’ll uncover insights into the differences between new and returning customers, helping marketing teams better understand engagement on e-commerce platforms.
12. Predicting Credit Card Approvals
In the Predicting Credit Card Approvals project, you will build the best-performing machine learning model for predicting credit card application approvals.
First, you will understand the data and impute missing values. After that, you will preprocess the data and train a logistic regression model on the training set. In the end, you will evaluate the results and improve the model performance using Grid searching.
Image by Author | Code from the project
Applying simple machine learning algorithms is an essential part of a data analyst’s life. You can gain more experience by applying similar methods to a new dataset: Bank Marketing.
Learn more about classification, regression, fine-tuning, and preprocessing by taking a short Supervised Learning with the scikit-learn course.
Become a ML Scientist
Data Analytics Projects for Final Year Students
Final year student projects are usually research-based and require at least 2-3 months to complete. You will be working on a specific topic and trying to improve the results using various statistical and probability techniques.
Note: there is a growing trend for machine learning projects for data
