Pinned

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…

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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,…

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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.

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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.

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5. Kaggle_Software-Defects Kaggle_Software-Defects Public

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

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