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Report abuseApplied Machine Learning and Natural Language Processing to build a Random Forest Classifier that filters malicious bots with 97% of accuracy.
Jupyter Notebook 6
An application of collaborative filtering (PySpark, ALS, MLlib) and content-based filtering algorithms (NLP) to build a personalized song recommender based on listeners' behavior and a lyric-based …
Performed exploratory data analysis using plotly, seaborn, matplotlib, and pygal to visualize the rapid spread in the novel corona-virus across countries with John Hopskin University datasets.
Jupyter Notebook 3
Get to know me as a data scientist by clicking on this: "bigforehead.github.io"
An application of Natural Language Processing and Machine Learning to classify topics and sentence structure with Google QUEST Q&A Labeling datasets . The goal is to improve automated understanding…
Jupyter Notebook 1
Engineered new features, performed exploratory visualization with Tableau, and applied Logistic Regression, Random Forest, Grid-Search and Cross Validation to build a predictive model that forecast…
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