Data-Science-Projects

Topics Included are

2) Data Pre-processing

3) Data Handling

4) Data Transformation

5) Data Integration

6) Feature Selection

7) Feature Elimination

8) Feature Importance

9) Encoding under Transformation

10) Model Building

11) Model Testing

12) Model Fine Tunning

13) Model Selection - GRID SEARCH

14) Data Visualisation

15) Model Deployment

15) Insight Building

16) Data Exploration

17) Model Analysis

18) Model Optimisation

19) Network Analysis

20) Supervised Clustering

21) Unsupervised Clustering

Modules Used in these Projects are

Numpy

Pandas

Matplotlib

Seaborn

Scikit-Learn

Scipy

Scapy

Networkx