Data Science Competition For Beginners Hosted By Kaggle
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Updated
Mar 27, 2017 - Jupyter Notebook
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Data Science Competition For Beginners Hosted By Kaggle
Master thesis for Double degree of CTU and Ensimag
Machine Learning to predict future stock prices
Machine Learning Algorithms Implementation for different datasets
perceptron algorithm on the adult income dataset
This repo has the programs and files associated with the project dataset generstor
Practice codes for Machine Learning In Action by Peter Harrington
Here we have various machine learning codes for beginners in ML using python and R
k-means clustering algorithm implementation using Matlab.
TensorFlow projects repository
Code of the first week of the challenge
Python Notebook for Dogs vs Cats Kaggle Competition
Repository for experiment with TensorFlowLite
This is a 'top 20%' solution for classification problem.
Supervised Linear Model(SVM) Evaluation with Sparse(TFIDF) and dense(Word2Vec) text representations