Alec Hing's repositories
credit-card-approval-prediction
Using a classification model, this project will focus on predicting whether an applicant is a "good" or "bad" customer who's applying for a credit card based on an application record and credit record dataset.
airbnb-feature-analysis
Using a dataset provided by Airbnb, analysis and predictions will be made to understand what effects the total price of an Airbnb
house-price-prediction
Taking advantage of the statsmodel, sklearn, and scipy libraries, housing data is analyzed to make predictions on what are the best ways for homebuyers to flip houses for profits.
microsoft-movie-research
Insight into the movie industry is required for Microsoft in order for them to consider getting into this realm. Using Pandas, NumPy, MatPlotLib, and Seaborn several recommendations are made for this new endeavor.
netflix-recommendation-system
Using a dataset from MovieLens, a movie recommendation system was created that recommends to users which movies they will like. The system also goes a step further to solve the cold start problem, which is when there is a new user in the dataset and there is no prior information on them. This system also finds a solution to this.