Experiments and homeworks from the ML course at FMI

A small notebook for Machine Learning contest on kaggle to predict survival in the famous Titanic dataset using Naive Bayes Classifier

My notes over the course of different experiences in Machine Learning with some useful snippets I learnt in Python3.

Jupyter notebooks containing explanation of Machine Learning Algorithms

In this repo, I apply various statistical methods (Bayesian) and neural networks in Python(Jupyter Notebook) to analyze and examine relevant topics within computational linguistics. This was part of a 400-level seminar designed for us to engage in interdisciplinary methods to investigate linguistic phenomena.

Stress classifier with AutoML

A basic machine learning model built in python jupyter notebook to classify whether a set of tweets into two categories: racist/sexist non-racist/sexist.

Machine Learning Models based in Tensorflow and keras implemented using small datasets

Notes and Jupyter notebooks for the AI for Medicine specialization from deeplearning.ai

Jupyter Notebook for KNN Algorithm.

FinMan is an educational suite of tools that can be used to conduct an analysis of financial instruments and their performance. It is comprised of notebooks that will aid in financial analysis and data collection. The goal of the project is to provide a simple UI and automate the process of analyzing data using machine learning

This repository contains some of my machine learning notebooks I created on Kaggle

For someone who is new at Kaggle

Kaggle을 처음 접하는 사람들을 위한 문서

A Spam checker build with core language Python and use technique Like NLP to preprocess data and Multinomial DB model to train our data.

The goal of this notebook is to test if treasury spreads 10Y-2Y, 10Y-3M along with SPX and VIX are successful in indicating impending economic recession. This concept is based on paper: https://www.frbsf.org/economic-research/publications/economic-letter/2018/march/economic-forecasts-with-yield-curve/

I'm using this repository to save my progress on the book: "Introduction to Machine Learning".

A First look into Machine learning using TFIDF and Ipython-notebooks

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

This repository contains the practical works done in machine learning class at HES-SO 2021