nilbsongalindo/MachineLearning

My personal machine learning portfolio

Machine Learning

My personal machine learning portfolio

This repository is my personal portfolio about basic concepts of machine learning. I put here a lot of things that i've studied on articles and courses about ML. Little by little, i will updating this repo with data cleaning, supervised and unsupervised learning algoritms, dimensionality reduction and reinforcement learning as well. I will create an advanced section with little applications and projects with some frameworks like tensorflow and pytorch.

Enjoy and feel free to contact me with any doubts!

• Dimensionality Reduction

  • PCA
  • LDA

• Machine Learning Algorithms

  • Supervised Learning

    Classification	Regression
    Naive Bayes	Linear Regression
    SVM	Random Forest
    KNN	Polynomial Regression
    Random Forest	SVR
    Neural Network	Neural Network
    Convolutional Neural Network	Decision Tree

  • Unsupervised Learning

    Clustering
    Hierarchical Clustering
    K Means

• Reinforcement Learning

  • Upper Confidence Bound (UCB)
  • Thompson Sampling

• Association Rule Learning

  • Apriori
  • Eclat

• Deep Learning Libraries

  Pytorch	TensorFlow
  MNIST LeNet	soon
  Cifar10 classifier	soon

• Implementations (No frameworks)

  • ANN with Numpy (practice from "Manual Pratico do DeepLearning Course" on Udemy)