👨‍💻 Learn how to implement a model of machine learning to solve a real problem

• Study Case 1 - Predictive Analysis in Diamonds Store

  Predict price of diamonds based on size (x, y, z), depth, cut type, color etc

• Study Case 2 - Sentiment Classification in Comment

  Classify sentiment of a sentences

• Study Case 3 - House Price in Beijing Predictor (Predictive Analysis)

  Predict price of house in Beijing based on 26 features (building type, size, bathroom etc)

• Study Case 4 - Recommendation System

  • Restaurant Recommender with Collaborative Filtering
  • Restaurant Recommender with Content Base Filtering Filtering

  A project to create a recommendation system that recommend restaurants based on the history of restaurants that users have visited before and similarity of each restaurant's cuisine. The dataset contains ±1000 rating data from users and ±90 data of restaurants.

• Study Case 5 - Film Recommender (Recommendation System)

  • Film Recommender with Collaborative Filtering
  • Film Recommender with Content Based Filtering

  A project to create a recommendation system that recommends films based on the history of films that users have watched before and similarity of each film's genre. The dataset contains ±20 milions rating data from users and ±250k data of films.