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Machine Learning Algorithms - Naive Bayes Classifier, Bayesian Estimation, Linear Regression, Neural Network, Decision Trees, K-means Clustering, Markov Decision Process

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36 Commits
0-Pre-requisites
0-Pre-requisites
 
 
1-Helpful materials
1-Helpful materials
 
 
Bayesian Estimation
Bayesian Estimation
 
 
Decision Trees
Decision Trees
 
 
K-means-Clustering
K-means-Clustering
 
 
Linear Regression
Linear Regression
 
 
Markov Decision Process
Markov Decision Process
 
 
Naive Bayes Classifier
Naive Bayes Classifier
 
 
Neural Network
Neural Network
 
 
Pattern-Recognition-and-Machine-Learning-by-Christopher-M.-Bishop-z-lib.org.pdf
Pattern-Recognition-and-Machine-Learning-by-Christopher-M.-Bishop-z-lib.org.pdf
 
 
README.md
README.md
 
 

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Machine-Learning

This Repository contains some of the Machine Learning Algorthims that I implemented using Python.

Implemented Algorithms:

  1. Bayesian Estimation
  2. Decision Trees
  3. K-means-Clustering
  4. Linear Regression
  5. Markov Decision Process
  6. Naive Bayes Classifier
  7. Neural Network

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Machine Learning Algorithms - Naive Bayes Classifier, Bayesian Estimation, Linear Regression, Neural Network, Decision Trees, K-means Clustering, Markov Decision Process

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neural-network clustering linear-regression machine-learning-algorithms naive-bayes-classifier decision-trees markov-decision-processes k-means-clustering bayesian-estimation machinelearning-python

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