Skip to content
View disha2sinha's full-sized avatar
👩‍💻
Focusing
👩‍💻
Focusing
Block or Report

Block or report disha2sinha

Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. Customer-Churn-Analysis Customer-Churn-Analysis Public

    Forked from SohelRaja/Customer-Churn-Analysis

    Implementation of Decision Tree Classifier and Clustering models(Kmodes & Kprototypes) for Customer attrition analysis of bank to identify the cause and conditions of the churn.

    Jupyter Notebook 1

  2. Sentimental-Analysis-Movie-Reviews Sentimental-Analysis-Movie-Reviews Public

    This model performs feature-extraction on the given dataset on the basis of polarity, wordclouds and by removing non-essential words, next it builds a vectorizer which turns the list of words into …

    Jupyter Notebook

  3. Employee-Salary-Prediction Employee-Salary-Prediction Public

    A project to Predict salary of employees using Linear Regression & display the results in GUI using Tkinter Module of Python

    Python 2 3

  4. Movie-Recommendation-System Movie-Recommendation-System Public

    A recommendation model which finds popular movies according to votes and ratings given to each movie, recommends movies to the user according to the user's previous interactions using K-means Clust…

    Jupyter Notebook 1 2

  5. Reducing-Imbalanced-dataset-by-Under-sampling-approach-Consensus-Clustering Reducing-Imbalanced-dataset-by-Under-sampling-approach-Consensus-Clustering Public

    Under-sampling based consensus clustering is applied on the three best clustering algorithms found after applying several Clustering Algorithms like K-means, K-modes, K-prototypes , K-means++ and f…

    Jupyter Notebook 1

  6. UndErNsembled UndErNsembled Public

    Forked from SohelRaja/UndErNsembled

    In this project, we reduced an imbalanced dataset to a balanced dataset using Under-sampling approach by applying Consensus Clustering using 'Simple Majority Voting' consensus function and further …

    Jupyter Notebook