IFT3395 Machine learning competition 1: Kaggle
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Updated
Nov 10, 2023 - Python
IFT3395 Machine learning competition 1: Kaggle
Datamining concepts
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…
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.
This model predicts the risk of your credit account based on the set of values enteres
EC60091-Machine Intelligence & Expertise Systems Course,Autumn-2019
Code templates for data prep and different ML algorithms in Python.
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
DecisionTreeClassifier: Classifies the "Labelled" data
Football Player Transfer Prediction Using Different Classifiers
Contains FP Tree and FP Growth, decision tree implementation and small programs developed using Tensorflow
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