The Sparks Foundation - Data Science & Business Analytics Internship GRIP SEPTEMBER 2021

Author: RITESH JAIPRAKASH AGRAWAL Batch september 2021

Task-1-Prediction-using-Supervised-Machine-Learning

In this task it is required to predict the percentage of a student on the basis of number of hours studied using the Linear Regression supervised machine learning algorith

Data set : http://bit.ly/w-data

Steps:

Step 1 - Importing the dataset

Step 2 - Visualizing the dataset

Step 3 - Data preparation

Step 4 - Training the algorithm

Step 5 - Visualizing the model

Step 6 - Making predcitions

Step 7 - Evaluating the model

TASK - 2 Prediction using Unsupervised Machine Learning

Task Goal :-
From the given 'Iris' dataset, predict optimum number of clusters and represent it visually using the unsupervised machine learning algorithm Dataset Info :- Iris Dataset contains 4 features of Iris ( Iris Versicolor, Iris Setosa, Iris Virginica)

Data set :- https://bit.ly/3kXTdox

Steps :

Step 1 :- Importing the dataset

Step 2 :- Visualizing the dataset

Step 3 :- Finding Optimal Cluster for k-means classification

step 4 : Visualizing the Cluster