Vardhaman Metpally (@metpallyv)
github

metpallyv

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  • Stars
    star
    76
  • Global Rank 253,381 (Top 9 %)
  • Followers 19
  • Following 1
  • Registered about 9 years ago
  • Most used languages
    Python
         84.6 %
    Java
         7.7 %
    Scala
         7.7 %
  • Location πŸ‡ΊπŸ‡Έ United States
  • Country Total Rank 56,164
  • Country Ranking
    Scala
         1,519

Top repositories

1

MovieRecommendation

The goal of this project is to build a movie recommendation system using Non negative regularized matrix factorization without using any Machine Learning libraries on movie lens dataset
Python
25
star
2

SVM-Kernels

Goal of this project is to implement perceptron,Dual perceptron,Linear Kernel and RBF kernel without using any Machine Learning Libraries
Python
21
star
3

DecisionTrees

Goal of this project is to build Classification Decision Trees and Regression Decision trees without using any Machine learning libraries
Python
9
star
4

ApacheSpark_MachineLearning_Scala

This Project is all about running Machine Learning algorithms on a distributed file system(HDFS) using Apache Spark and Scala
Scala
6
star
5

Clustering

Goal of this project is to implement K-means clustering and GMM clustering without any Machine Learning libraries
Python
4
star
6

Logistic_Regression

Goal of this project is to implement Logistic Regression without using Machine Learning Libraries
Python
2
star
7

NaiveBased

Goal of this project is to implement Multivariate NaiveBased Classifier without using any Machine Learning libraries
Python
2
star
8

SearchEngine

The goal of this project is to implement a simple Search Engine using various retrieval models using tf-idf and BM25
Python
2
star
9

Regularized_Logistic_Regression

Goal of this project is to implement Regularized Logistic Regression without using any Machine learning libraries
Python
1
star
10

TwitterAnalytics

The goal of this project is to be able to perform Twitter Analytics using the Twitter Rest APIs
Java
1
star
11

LinearRegression

Goal of this project is to implement Linear Regression using Gradient Descent algorithm and Normal Equations without using any Machine learning libraries
Python
1
star
12

NeuralNetwork

Goal of this project is implement BackPropogation Algorithm using Neural Networks
Python
1
star
13

Polynomial_Regression

Goal of this project is to implement Polynomial Regression using Normal Equations and without using any Machine learning libraries
Python
1
star