Step-1-Data-Insights-and-Data-Preprocessing

In this step, I got to know our data and made it ready for other steps by preprocessing it.

First, I merged the relevant tables and examined our data.

Then, I preprocessed data, and make it ready for further steps.

In this step, I have performed the methods:

• Joining tables
  pd.merge
• Preprocessing
  SimpleImputer with Most Frequent Strategy as it accepts the categorical values
  Normalization as our problem is classification & there are lots of unique values
• Feature Extraction
  PCA; plotting features & PCA's n_components for 90 % usefulness
• Outlier Detection
  Matplotlib's boxplot
• Outlier Elimination
  Quantile Based Outlier Elimination Technique

DataSets.zip file contains the dataset that I used in the first step.