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  1. EDA-operations-on-Haberman-s-Survival-Data EDA-operations-on-Haberman-s-Survival-Data Public

    exercise,EDA(Exploratory Data Analysis) is performed on Haberman’s Survival DataSet to analyze the dataset’s main characteristics in visual way.The dataset is about survival of patients who had und…

    Jupyter Notebook 1

  2. Human-activity-detection-M- Human-activity-detection-M- Public

    Objective: Various Models with different no. of hidden layer and optimizer with different dropout in LSTM

    Jupyter Notebook

  3. Implement-SGD-for-linear-regression Implement-SGD-for-linear-regression Public

    0.1 Assignment 6: Implement SGD for linear regression To implement stochastic gradient descent to optimize a linear regression algorithm on Boston House Prices dataset which is already exists in sk…

    Jupyter Notebook 2

  4. K-Means-clustering-Hierarchical-Clustering-and-DBSCAN-to-Amazon-food-reviews-dataset K-Means-clustering-Hierarchical-Clustering-and-DBSCAN-to-Amazon-food-reviews-dataset Public

    Clustering algorithm is applied on amazon reviews datasets to cluster the reviews. Types of clustering : 1.K-Means clustering 2.Hierarchical Clustering 3.DBSCAN(Density Based spital clustering of a…

    Jupyter Notebook 3

  5. k-NN-on-Amazon-reviews-data-set k-NN-on-Amazon-reviews-data-set Public

    K-NN is used for classification and regression for data.Here, K-NN algorithm is applied on amazon reviews datasets to classify postive and negative reviews.

    Jupyter Notebook 1

  6. Human-Activity-recognition Human-Activity-recognition Public

    This project is to build a model that predicts the human activities such as Walking, Walking_Upstairs, Walking_Downstairs, Sitting, Standing or Laying. This dataset is collected from 30 persons(ref…