1st Project of Course 'Machine Learning' of the SMARTNET programme. Taken at the National and Kapodistrian University of Athens.
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Updated
Dec 23, 2019 - Python
1st Project of Course 'Machine Learning' of the SMARTNET programme. Taken at the National and Kapodistrian University of Athens.
This repository contains an ML project that was approached with a business mindset from the beginning to the end. It addresses the problem of regression.
deciphering car VIN codes using regular expressions
Regression and Classification task with sklearn.
BME499 course materials. I developed the neural networks / deep learning section of this course.
peramalan jumlah penduduk kec.kandangserang kab. pekalongan dengan metode regresi linier. data training jumlah penduduk dengan gender wanita pada tahun 2011-2021
Esercizi e piccoli Progetti di applicazione all'Intelligenza Artificiale utilizzando GraphLab Create e Python
Deep Learning Projects Using Keras & Scikit-Learn
Solving exercises of Introduction to Statistical Learning with Python
An exploratory data analysis is performed and a regression model is used to predict house values. The prediction performance is optimized after tuning the model hyper-parameters to minimize bias/variance errors.
Analyzing a huge dataset taken by the Department of Education, utilzing both SAS, and MS Excel (https://catalog.data.gov/dataset/college-scorecard)
Analyze A/B Test Results - Udacity Data Analyst Nanodegree Project
This repo contains all my implementations of Machine Learning Models.
Predictive Modeling Part 1: Home Prices in Philadelphia
Cancer Classification Using Gene Expression Data with the use of different Regression ML based models.
A machine learning project for predicting laptop prices using Gradient Boosting and Random Forest regressors.
This is a binary classification problem excerpted from Kaggle competitions that explains why Leonardo DiCaprio had a high probability of dying in the movie TITANIC.
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