shushantkumar / ml-models

Machine Learning Models

ML-Models

This repository consists of standard Machine Learning Algorithms
It includes the use of standard libraries scikit_learn, pandas, tensorflow, quandl

• The Perceptron Model is implementation of a single neuron called Perceptron
  It implements basic gates that is OR, NOR, AND and NAND gates

• The Linear Regression works on the data of google stocks and using linear regression getting the best fit line
  Then predicting the stock prices for next 30 days

• The K-Nearest algorithm works on data of breast cancer and classifies them into benign or malignant
  One of it using standard library and other one without using standard library

• K Means Clustering on Titanic Dataset to predict a person was alive or dead
  One of it using standard library and other one without using standard library
  

• Classifier using scikit learn: this implements basic classifier tree.DecisionTreeClassifier() and neural_network.MLPClassifier() to predict, several other classifiers are mentioned as comment in the file

• Movie Recommender system using dataset of LightFM and predicting top 3 movies and comparing with actual top 3