Workshop

1.       Introduction of Python

2.       Variables, Data types, Operators, Functions

3.       Introduction & Importance of Data Science

4.       Statistics

5.       Numerical Python

6.       Data Analysis and Cleaning using Pandas

7.       Combining, Splitting, & reshaping data

Day2:

1.       Some Exercises on Real Time Datasets

2.       An Introduction to Data Visualization

3.       Matplotlib library

4.       Data Preprocessing

5.       Data Transformation

6.       Sea born Library

7.       Introduction of ML Algorithms

Day3:

1.       Supervised Learning Algorithms

2.       Linear, Logistic Regression

3.       Decision Tree, Random forest

4.       Unsupervised Learning Algorithms

5.       K-means Clustering

6.       Practical Implementation of Real time Dataset

Team Members