We can not visualize our data which has more than three dimension. For the data with only one dimension, we can make a line plot. For two dimensional data, we can plot a two dimensional graph, For three dimensional data, we add a more axis Z with other two, X-Y axis to visualize how the data is distributed. Visualization is the key technique in this field. So for higher than three dimensional data, we can not make any plot. It is  very challenging to us to visualize such higher dimensional data. Again, Machine Learning models also have a tendency of lowering accuracy  with increase in dimension i.e. no. of independent variables. It means when we have higher dimensional data then we have to somehow reduce the no. of dimension. This process by which we can reduce higher dimensional data to lower dimension  is called Dimension reduction. In the above picture, right side image with higher(3) dimension is transformed into lower(2) dimension. What is 'Dimension Reduction'? Dim...