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aganitha-jr.data-science-exam

cap-application

cpp-implementation-of-non-linear-pde-solver

This is a implementation of general-purpose non-linear 2-dimeansional partial-differential equations solver.

implementation-of-decision-tree-classifier

Decision trees are often used while implementing machine learning algorithms. The hierarchical structure of a decision tree leads us to the final outcome by traversing through the nodes of the tree. Each node consists of an attribute or feature which is further split into more nodes as we move down the tree.I have used GINI-INDEX(a measure of pureness of the nodes)to decide how to split at each attribute

lsfr

| PRN generetor | image-encryption and decryption |

neural-network-using-numpy-and-pandas

Implementation of Neural Network with different activations and optimisation methods

optimization-models

In this case-study,three deiiferent optimization problems are dealt with.The first one being to optimize the total fuel consumption by a jeep inorder to cross a desert assuming there are storage points in the path travelled.The second one being to minimize the number of drums of fuel consumed assuming fuel availabilty at the begining is infinite.The third one is caterer problem whose description is given in the manual

regression-analysis-in-r

time-series-analysis-for-forecasting-foot-traffic-in-jetrails

twitter-sentiment-analysis

Extracted features using BOW,TI-IDF,W2V,D2V and performed logistic regression,SVM,RF,XGBOOST to classify tweets as hate/good tweets

waste-and-pattern-reduction-in-paper-cutting-industry

multi-objective optimization problem|reduce the wastage | minimize number of patterns (blade changes)