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1layer_2layer_4layer_nn

Developed Neural Network (NN) having one hidden layer, two hidden layers and four hidden layers, besides the input and output layers. Tested with Sigmoid, tanh and ReLu activation function. Used Scikit learn for pre-processing data.

binarysearchtree

Modify the author's BinarySearchTree code to implement the methods

coding-interview-university

A complete computer science study plan to become a software engineer.

decisiontree_id3_algorithm

Implemented Decision tree learning algorithm using ID3 with Information Gain Heuristic in Python and used Pandas for pre-processing data.

kaggle_imagenet_object_detection_challenge

kruskalsalgo

Implemented a system to find the shortest distance among a set of cities using Kruskal’s Algorithm and Priority Queue in Java.

linkedlist

Modify the author's MyLinkedList class to add the following methods

maze

The Disjoint Set data structure will be used in the creation of a maze

mlpclassifier_uci_breastcancer_prediction

Implemented Scikit MLP classifier to predict Breast Cancer from features like Clump Thickness, Uniformity of Cell Size, Uniformity of Cell Shape etc.

mlpclassifier_xor

Implemented Scikit MLP classifier to train XOR operation using single hidden layer of two Perceptron

models

Models and examples built with TensorFlow

news-please

news-please - an integrated web crawler and information extractor for news that just works.

perceptron

Implemented a linear classifier using Single Perceptron

tweets-clustering-using-k-means

By clustering similar tweets together, we can generate a more concise and organized representation of the raw tweets, which will be very useful for many Twitter-based applications (e.g., truth discovery, trend analysis, search ranking, etc.)

webscifi

Online activities booking system

word-puzzle

linear probing hash table to solve English word puzzle