Machine Learning Algorithms' Implementation
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Updated
May 21, 2017 - Python
Machine Learning Algorithms' Implementation
Various example and experiment playground for scikit learn using python
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
I analysed a dataset obtained from last.fm to recommend the next songs a user is likely to hear. Used NearestNeighbor algorithm for predictive analysis.
Classification of DDOS attacks
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"
Counting the upvotes of any sites using traditional upvoting system such as Stack Overflow
Documentation of Packages in AI & ML
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
EDA and Feature engineering with Plotly library!
Kfold Cross Validation of Iris Dataset
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