Angad Gujral's repositories
Ecommerce_dataset
Used linear regression model to train and test the data, evaluated the model performance by calculating the residual sum of squares and the explained variance score (R^2).
911_Calls_Data_Project
Analyzing 911_data_set using Pandas, matplotlib and seaborn
Airline-Airport_Rating_Agency
A single page application using HTML, JavaScript and Ajax Rating Airlines and Airports and view the selected airline/airport trailer
BeautifulSoup-Sqlite-Hurricanes-Wiki
Used Beautiful Soup and Python to parse the HTML file into a usable data set. Write the data set to a SQLite database and run some queries against the data set.
Happy-flowers
A single page application using HTML and JavaScript. Placing order for flowers with the sender details and message.
Lending_Club_Dataset
Decision Tree and Random Forest model were used to train and test the data . Classification report and confusion matrix were used to evaluate the model
Low-Cost-Carriers-versus-High-Cost-Carriers-using-airline-reviews
Is there really a difference? Low Cost Carriers versus High Cost Carriers using airline reviews
MapReduce-job-to-average-dividends-for-a-stock-for-each-year
MapReduce job to average dividends for a stock for each year
Top-100-contractors
Created SQLite database with two tables in order to run some queries against the data set.
Which-Airport-is-better-to-fly-from-
Created Pandas data frame and conducted Exploratory Data Analysis (EDA) and used matplotlib to create different charts in order to compare two major airports in DC area - Baltimore International Airport and Dulles International Airport.