Smartphone Based Recognition of Human Activities and Postural Transitions

Abstract: Activity recognition data set built from the recordings of 30 subjects performing basic activities and postural transitions while carrying a waist-mounted smartphone with embedded inertial sensors. Link to Dataset Loaded and Processed TXT-format Train and Test data into DataFrame Applied 6 Classification Algorithms (Logistic Regression, K-Nearest Neighbors, Support Vector Machines, Naive Bayes, Decision Tree, Random Forest) and 10-fold cross validation procedure is used to evaluate each algorithm F1-Score: Logistic Regression - 93.

May 28, 2020

Sentiment Analysis of Stocks from Financial News in Finviz website

Feel free to visit FinViz website for fundamental ratios, technical indicators to news headlines and insider training data, it is a perfect stock screener. Furthermore, it has updated information on the performance of each sector, industry and any major stock index. Loaded the saved HTML files by identifying the folder path and directing BeautifulSoup to ‘read’ the table of headlines Parsed the scraped text into data and time, and Organized the data for Visualization and Analysis Implemented NLTK VADER for Sentiment Analysis, and Customized the Sentiment Scoring System Merged Sentiment scores and Headlines Data, and removed the duplicates to visualize the results Performed and Visualized the Sentiment on one single trading day for Facebook Stock Tesla: Facebook: Link to GitHub Repository

May 26, 2020

Distinguish between a honey bee and a bumble bee using Deep Learning

This project is a series of projects that walk through working with image data, building classifiers using traditional techniques, and leveraging the power of deep learning for computer vision. Image Loading and Processing - This project is the FIRST part of a series of projects, in this I will use the Python image library Pillow to load and manipulate image data. Predict Species from Images - This project is the SECOND part of a series of projects, in this I will then build a model to identify honey bees and bumble bees given an image of these insects.