Given a zipped file with Newspaper images in png format, extracting text and images, storing in a dictionary and doing a text search search, in case a word is found in the list of extracted words, return all the faces from that png image.
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Group Project
Using Python, PostgreSQL, AWS, PySpark, Google Colab, Tableau to First, Help Travelers Find the Best Hotel; Second, Help Hotel Owners Know How Customer Sentiments are Changing over time; and Third, Determine the ML Model that Predicts the Reviewer Sentiments the Best.
Using TensorFlow, Keras, Pandas, Sklearn to Create a Binary Classifier that is Capable of Predicting Whether Applicants will be Successful if Funded by Alphabet Soup
CodeUsing Pandas, sklearn, plotly, hvplot, PCA and Elbow-curve to Find the Most Appropriate Cluster Size For a List of Cryptocurrencies
CodeUsing Pandas, Numpy, Scikit-learn, Imbalanced-learn to Compare Various Supervised Machine Learning Algorithms. Logistic Regression (using 4 techniques to resolve class imbalances - RandomOverSampler, SMOTE algorithms, ClusterCentroids, SMOTEENN), BalancedRandomForestClassifier, and EasyEnsembleClassifier to Predict Credit Risk
CodeUsing Jupyter Notebook, Google Colab, AWS RDS, Visual Studio Code, PgAdmin, PySpark, SQL to Analyze Amazon Vine Reviews
CodeUsing R to Analyze Car Production Data to Help the Manufacturing Team
CodeUsing Jupyter Notebook, Chromedriver, HTML, CSS, Splinter, Beautiful Soup to Automate a Web Browser and Perform Web Scraping and Store data in MongoDB and Retrieve using Flask
CodeUsing Jupyter Notebook, SQLLite, SQLAlchemy, Flask to Analyze Temperature and Precipitation data to open a Surf Shop in Hawaii
CodeUsing Jupyter Notebook, SQL, SQLAlchemy to Perform ETL on Movie Data Extracted from Wikipedia, MovieLens and Kaggle
CodeUsing SQL to Analyze Employee Data to Prepare the Company Against 'Silver Tsunami'
CodeUsing Pandas, Citipy, Weather Map API, Gmaps API, Jupyter Notebook to Analyze World Weather and Create a Travel Itinerary
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