Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

Final Year project based upon Network Intrusion Detection System

This is a binary classification problem related with Autistic Spectrum Disorder (ASD) screening in Adult individual. Given some attributes of a person, my model can predict whether the person would have a possibility to get ASD using different Supervised Learning Techniques and Multi-Layer Perceptron.

Iris classification with Python Scikit-learn 🌼

Machine learning library for classification tasks

Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning

Gaussian Discriminant Analysis introduction and Python implementation from scratch

Machine learning library for classification tasks

Tour of Machine Learning Algorithms for Binary/Multiclass Classification

Probabilistic graphical models home works (MVA - ENS Cachan)

Machine learning library for classification tasks

The projects are part of the graduate-level course CSE-574 : Introduction to Machine Learning [Spring 2019 @ UB_SUNY] . . . Course Instructor : Mingchen Gao (https://cse.buffalo.edu/~mgao8/)

Comitê de Classificadores | Projeto N1

Overview of statistical learning methods for classification

To Detect Sepsis Disease using six Classifiers on clinical data

Recognize users of mobile devices from accelerometer data ( Accelerometer Biometric Competition on kaggle)

R | Classification Project

Machine Learning Methods apply on Breast Cancer Wisconsin (Original) Data Set.