Task #1: Prediction Using Supervised ML Predicted the percentage of a student basedd on the no. of study hours. it is a simple linear regression as it involves only two variables. I have implemented the codes on Python Jupyter Notebook. Codes can be found here : http://localhost:8888/notebooks/Task%20%231.ipynb
Task #2 K-means clustering using Unsupervised ML From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually. have implemented the codes on Python Jupyter Notebook.
Task #3: Exploratory Data Analysis - RETAIL To perform 'Exploratory Data Analysis' on dataset 'SampleSuperstore'. Trying to find out the weak areas where you can work to make more profit. Deriving all the business problem by exploring the data.