Prediction using Supervised ML

• Predict the percentage of an student based on the no. of study hours.
• This is a simple linear regression task as it involves just 2 variables.
• I am Using python and Sklearn for this task.
• Data can be found here
• What will be predicted score if a student studies for 9.25 hrs/ day?

Prediction using Unsupervised ML For Iris dataset

This is perhaps the best known database to be found in the pattern recognition literature. Fisher's paper is a classic in the field and is referenced frequently to this day. The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable from the other 2; the latter are NOT linearly separable from each other.

Predicted attribute: class of iris plant.

This is an exceedingly simple domain.

Attribute Information:

1. sepal length in cm
2. sepal width in cm
3. petal length in cm
4. petal width in cm
5. class: -- Iris Setosa -- Iris Versicolour -- Iris Virginica

• From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.
• I am Using python and Sklearn for this task.
• Data can be found here

Perform Exploratory Data Analysis on dataset SampleSuperstore

• As a business manager, try to find out the weak areas where you can work to make more profit.
• What all business problems you can derive by exploring the data?
• I am Using python and pandas for this task.
• Data can be found here