MachineLearning

Repo with a bunch of ML projects that I am working with to get into the accelerating field of AI.

Project 1:

WebScraping movie tables on the net to compare movie budget and movie revenue

• Gathered data using a threaded script sending GET request to fetch a website's webpages (60 pages)
• Used BeautifulSoup to store to gather data per movie and store it onto a class
• Cleaned the data when passed into the Movie class's constructor
• Write to a tsv file
• Create a Regression model (line of best fit) with 6492 clean data points in Google Collab NOTE: Don't forget to add cleaned_data.csv to the Collab runtime env

Repository 2:

Optimization and Gradient Descent algorithms

Project 2:

Predicting House prices with multi-variable linear regression

Gather a bunch of features - using the three methods below

Method 1: Rightmove ~ 38,086 properties Method 2: Explore open-source statistics like [ons.gov.uk] Method 3: sci-kit learn free datasets

Learning Objectives:

• Improve Web Scraping Skills
• Improve Regressional analysis apply gradient-descent algorithms