Data Science Portfolio Projects

Portfolio Projects play an important role for taking a job in the field of Data Science. Showcasing your skills goes beyond mere qualifications. It’s about demonstrating analytical and coding skills through real-world applications.

Here, I have shared some valuable resources to collect ideas for Data Science portfolio projects:

Beginner Level Projects

1.Exploratory Data Analysis
https://lnkd.in/gCZYnaif

2. Predictive Modelling using Linear Regression
https://lnkd.in/g7TuJkws

Intermediate Level Projects

3. Machine learning Algorithms Projects
(Experiment with models like Random Forest, SVM, Naive Bayes, and Logistic Regression etc.)
https://lnkd.in/gSwr6dCu

4. Machine Learning Clustering Projects
https://lnkd.in/g-7W7ryt

Advanced Level Projects

5. NLP Projects
https://lnkd.in/gSg4xP4c

6. Deep Learning Projects
https://lnkd.in/gZ73Emzf

Build the portfolio with these diverse projects, showcase your skills and expertise in the most impactful way possible! 🌟.