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1. Time-Series-Forecasting-using-NN-LSTM-and-CNN Time-Series-Forecasting-using-NN-LSTM-and-CNN Public

   Predicted a stock price close of a day based on the last 7 day’s time series data using Neural Network, LSTM and CNN. Found the best number of the days should be considered in the past that yield t…

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2. House-Price-Estimation-using-Both-Visual-Images-and-Textual-Data House-Price-Estimation-using-Both-Visual-Images-and-Textual-Data Public

   Applied algorithms to extract visual features from house photos and combined them with the house’s textual data. I have used Keras Functional-API to train textual data using Deep Neural Network and…

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3. Modern-Low-Footprint-Cyber-Attack-Detection Modern-Low-Footprint-Cyber-Attack-Detection Public

   Built a Network Attack detector, a predictive model capable of distinguishing between bad and good connections. Tried different models like Logistic Regression, KNN, SVM and Neural Network as a ‘Bi…

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4. Branch-and-Bound-Dynamic-Programming-and-Greedy-Algorithms Branch-and-Bound-Dynamic-Programming-and-Greedy-Algorithms Public

   In this codes I have implemented four different algorithms for solving the 0-1 Knapsack Problem and evaluate their performances using real time measurements. The algorithms are: 1. Brute-Force Enum…

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5. CodeShef CodeShef Public

6. Facial-Feature-Localization Facial-Feature-Localization Public

   Facial feature detection is an important and challenging problem in the fields of machine learning and computer vision. The most important 4 applications of facial feature localization are face rec…

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