Skip to content
View lionelsome's full-sized avatar
  • California

Block or report lionelsome

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Popular repositories Loading

  1. Tourism_chatbot_RasaNLU Tourism_chatbot_RasaNLU Public

    This project aims at training a tourism chatbot to improve the intents classification and entity extraction with Rasa NLU.

    Jupyter Notebook 7 3

  2. RuDiK-GUI RuDiK-GUI Public

    A GUI for RuDiK which is a system for discovering positive and negative logical rules over RDF knowledge graphs.

    Java 1 2

  3. Estimating-Financial-Risk-through-Monte-Carlo-Simulation Estimating-Financial-Risk-through-Monte-Carlo-Simulation Public

    The main objectives for this Notebook are to develop fundamental knowledge about Risk analysis, understand Monte Carlo Simulation (MCS) and apply Monte Carlo Simulation for predicting risk.

    Jupyter Notebook 1

  4. Artificial-Neural-Networks-for-Handwritten-Digits-Recognition Artificial-Neural-Networks-for-Handwritten-Digits-Recognition Public

    Neural Network for the Handwritten Digits Recognition problem with the MNIST dataset.

    HTML

  5. Music-Recommender-System Music-Recommender-System Public

    A guided notebook about Song Recommendation System written in Python, applying the collaborative-filtering approach and adopting the ALS model (Alternating Least Squares).

    Jupyter Notebook

  6. House-Prices-Advanced-Regression-Techniques House-Prices-Advanced-Regression-Techniques Public

    This notebook is based on Kaggle competion "House Prices: Advanced Regression Techniques". It goes from data cleaning and preprocessing to house prices prediction through the construction of a stat…

    Jupyter Notebook