Shaik Riyaz's starred repositories
PCA_Wine_Dataset
Case Summary Perform Principal component analysis and perform clustering using first 3 principal component scores (both Heirarchical and k mean clustering(scree plot or elbow curve) and obtain optimum number of clusters and check whether we have obtained same number of clusters with the original data (class column we have ignored at the begining…
Clustering
Problem Statement Perform clustering (Hierarchical,K means clustering and DBSCAN) for the airlines data to obtain optimum number of clusters. Content This data set contains statistics, in arrests per 100,000 residents for assault, murder, and rape in each of the 50 US states in 1973. Also given is the percent of the population living in urban areas
Logistic-Regression
Predicting Customer Response to Telemarketing Campaigns for Term Deposit
Multi-Linear-Regression
Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. Consider only the below columns and prepare a prediction model for predicting Price. Corolla<-Corolla[c("Price","Age_
Simple-Linear-Regression
Simple Linear Regression
Hypothesis-Testing
Hypothesis Testing
Basic-Statistics_Level-2
Assignment Advance Stats
Basic-Statistics_Level-1
Assignment Basic Stats
ExcelR_Data_Science_Assignments
ExcelR_Data_Science_Assignments