Pinned

1. recommendation_systems recommendation_systems Public

   Performed EDA, created user-article matrix, calculated similarity using dot product, implemented Rank-Based, User-User CF, Content-Based, and Matrix Factorization, evaluated model with precision, r…

   HTML

2. natural_language_system_disaster_response natural_language_system_disaster_response Public

   Developed a natural language processing system to automatically categorize disaster-related messages using techniques such as stopwords, lemmatization, countvectorizer, and tdidf transformer. Analy…

   Jupyter Notebook

3. SeattleAirbnb2016Analysis SeattleAirbnb2016Analysis Public

   Analyzed Seattle Airbnb data to describe neighborhoods, determine best times to visit, and track trends in listings and visitors. Used NLP, visualization, and time series analysis.

   Jupyter Notebook

4. Customer-Segmentation-Report-for-Arvato-Financial-Services Customer-Segmentation-Report-for-Arvato-Financial-Services Public

   The analysis involved data preprocessing to handle missing values, feature engineering, and feature scaling, followed by dimensionality reduction using PCA. K-means clustering was then used to clus…

   Jupyter Notebook

5. recurrent_neural_networks recurrent_neural_networks Public

   Explored the application of an LSTM-based RNN to analyze protein sequences and evaluate its ability to capture long-range dependencies. Generated new protein sequences and created 3-gram language m…

   Python