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  1. Churn_Prediction Churn_Prediction Public

    Predict customer churn through supervised and unsupervised techniques, perform feature engineering, incorporate network science. The project also covers extensive data preprocessing, making informe…

    Jupyter Notebook

  2. Customer_Review_Scraping Customer_Review_Scraping Public

    I developed an application that collects customer reviews automatically from online vendors. This tool's purpose is to get data easily for tasks such as text mining, classification, topic modeling,…

    Jupyter Notebook

  3. Text_Analysis-Customer_Reviews Text_Analysis-Customer_Reviews Public

    I analyze online customer reviews using Topic Modeling, Sentiment Analysis, Word Cloud and Word Frequencies. I use a dataset that I scraped from the web.

    Jupyter Notebook

  4. NLP_with_Disaster_Tweets NLP_with_Disaster_Tweets Public

    Predicting which tweets are about real disasters. Using Bag-of-Words, TF-IDF Vectors, Naive Bayes, Linear Discriminant Analysis, Truncated SVD, custom tokenizer, lemmatization, GridSearchCV.

    Jupyter Notebook

  5. Kaggle_Software-Defects Kaggle_Software-Defects Public

    Goal: Predict defects in C programs given various various attributes about the code. Binary Classification

    Jupyter Notebook