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1. NLP_Sentiment_Analysis NLP_Sentiment_Analysis Public

   Sentiment analysis of the restaurant reviews from YELP dataset using BoW, TF-IDF, Word2Vec, Doc2Vec, Glove and BERT.

   Jupyter Notebook 4 1

2. Data_Mining Data_Mining Public

   Data Mining - EDA, Feature Selection, Standardize, Remove Global Outliers, Normalize, Feature Extraction (with PCA), Clustering, Classification (baseline models and hyperparameter tuning with GridS…

   Jupyter Notebook 2

3. A_B_Testing A_B_Testing Public

   A/B Testing: preprocessing, two proportions z-test, computing critical z‐value and z-statistic.

   Jupyter Notebook

4. PySpark PySpark Public

   PySpark: EDA, Feature Selection, Feature Engineering, Pipelines, Classification (baseline model and hyperparameter tuning with CrossValidator)

   Jupyter Notebook 1

5. SQL SQL Public

   Basic, Intermediate and Advanced SQL

   Jupyter Notebook

6. Lexicon_Based_Sentiment_Analyzers Lexicon_Based_Sentiment_Analyzers Public

   Two lexicon-based sentiment analyzers: TextBlob and Vader.

   Jupyter Notebook