Boosting - EXPLAINED! 

REFERENCES
[1] A Short Introduction to Boosting: cseweb.ucsd.edu/~yfreund/pape...
[2] A Theory of the Learnable (Valiant, 1984): web.mit.edu/6.435/www/Valiant8.... This introduced the PAC Learning model
[3] PAC Learning Model: • PAC learning
[4] Cryptographic Limitations on Learning Boolean Formulae & Finite Automata (Kearns et al., 1988): www.cis.upenn.edu/~mkearns/pa... (This paper defined weak learnability)
[5] The strength of weak learnability (Schapire, 1990): rob.schapire.net/papers/streng...
[6] A gentle intro to weak learners: www.cs.ox.ac.uk/people/varun....
[7] Boosting a weak learning algorithm by majority (Freund, 1995): pdfs.semanticscholar.org/d620...
[8] Adaptive Boosting (Section 4): rob.schapire.net/papers/Freund...
[9] Adaboost & overfitting discussion: stats.stackexchange.com/quest...
[10] Gradient Boosting: statweb.stanford.edu/~jhf/ftp...
[11] How boosting still learns even after training error hits 0: www.cc.gatech.edu/~isbell/tut...
[12] Difference between Adaboost & Gradient Boost: www.quora.com/What-is-the-dif...
[13] Adaboost Vs Gradient Boosting: subscription.packtpub.com/boo...
[14] XGBoost (Main Paper): arxiv.org/abs/1603.02754
[15] Compressed Sparse Column (CSC) format used in storing data in XGboost: software.intel.com/en-us/mkl-...
CODE
[1] Starter code with built in libraries: repl.it/@PulkitSharma1/Boosti...
IMAGE RESOURCES
[1] ConvNet: missinglink.ai/guides/convolu...
HIPPY COWBOY MUSIC
[1] Cowboy Sting by Kevin MacLeod is licensed under a Creative Commons Attribution license (creativecommons.org/licenses/...)
Source: incompetech.com/music/royalty-...
Artist: incompetech.com/