EC60091-Machine Intelligence & Expertise Systems Course,Autumn-2019

Machine Learning (IFT3395) Kaggle competition 1

Machine Learning lessons (Linear Regression, Logistic Regression, DecisionTreeClassifier, SVC, RandomForestClassifier, K Clustering, Naive Bayes) and data manipulation codes learned from this playlist: https://www.youtube.com/watch?v=gmvvaobm7eQ&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=1

Code templates for data prep and different ML algorithms in Python.

This is a small and simple Machine Learning project. The front-end is Java (PersonalityTest) and the back-end is Python (PersonalityServer). The user uses the JavaFX Application (client) to connect to the back-end using Python Flask where a Machine Learning model is trained and it is used to predict the user's personality (out of 16 different pe…

Contains FP Tree and FP Growth, decision tree implementation and small programs developed using Tensorflow

Data Mining coursework. Required the submission of two seperate py files. Short description. The aim of this coursework assignment is to demonstrate understanding of classification and cluster analysis.

Datamining concepts

DecisionTreeClassifier: Classifies the "Labelled" data

Football Player Transfer Prediction Using Different Classifiers

This model predicts the risk of your credit account based on the set of values enteres