Data-Science-in-Quantitative-Finance

This repository contains all kinds of data science and machine learning models.

Assignment 1: Presidential Primaries

Used BeautifulSoup Scraped online data. Simply analyzed data.

Assignment 2: Presidential Primaries

Used BeautifulSoup Scraped election data. Used BQ Plot drawing interactive graphs.

Assignment 3: Classification

Wrote pipline including StandardScaler and OneHotEncoder to preprocess the data. Trained SGDClassifier and RandomForestClassifier and used GridSearchCV to select best parameters. Drew ROC and AUC curve and calculated f1 score for model assessment.

Assignment 4: Latent Semantic Analysis

Used tf-idf and PCA searching for similar jokes.

Assignment 5: Matrix Completion with Missing Data

Used SVD and Sparse-SVD Gradient Descent algorithm reconstruct images with missing values.