Done!! Oh yes! One of the best ML tool XGBoost implementation is shown! Make sure u import the XGBoost as per instructions

Almost Done! Just the Xgboost code pending

added kernel PCA which is a better than LDA and the vizulization of this is done perfectly

Merge remote-tracking branch 'origin/master'

Contains LDA and PCA models which help to reduce the dimensions i.e the number of independent variables and come out with only those which cause significant impact and thus help us to plot shit.

Update README.md

Update README.md

Update README.md

Convolution Neural Networks Added! Classify a new picture into a cat or dog!Simple ah! listen then how about classify weather cancer or not! Tumor or not ! Sounds cooler ri8!

ANN python execution added

Artificail Neural Networks on the way get ur shitty libraries installed and make sure u get tensorflow installed since mine is a old laptop to get some team i am going only for the CPU version of tensorFlow while i suggest you go for the GPU version as well if ur filthy rich and have a sexy laptop

Natural language processing added! with naive bayes classifier

Associated Learning completed and guess what there is only one algoritham we need to learn and it is so cool! i have to work more on it so i can implement the same in some development stuff, say maybe django:-)

Clustering Completed! if you are looking to see custormer trends you better understand clustering! because clustering is the new sexy

Done With Classification!