Machine Learning Algorithms' Implementation
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Updated
May 21, 2017 - Python
Machine Learning Algorithms' Implementation
Ensemble de mini projet réalisé avec scikitlearn
Machine learning project 2018 - Imperial College London
Repo for TensorFlow. TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models
Python Machine Learning Examples
US graduate school's admission related data - based on Kaggle
Application of unsupervised learning techniques on product spending data collected for customers of a wholesale distributor in Lisbon, Portugal to identify customer segments hidden in the data.
Code samples for the machine learning algorithms that are explained in the book, "Hands-on Machine Learning with Scikit-Learn and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems"
Figuring Out Which Employees May Quit
Check out the projects that I have made using scikit-learn.
Exploratory Analysis and Machine Learning with Airbnb data.
SciKit Learn's Support Vector Machine and Logisitic Regression models were used to determine the mutation given a set of values for the different genes
Machine learning using sci kit learn
Kfold Cross Validation of Iris Dataset
Created model using Linear regression to predict variables impacting demand.
This repository is for personal learning purpose.
Implementation of advanced machine learning lecture. Create automated ML using TPOT library for weather prediction.
• Machine learning model which predicts whether an employee should be given promotion or not, By evaluating his performance on 10+ performance parameters.
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