Manpreet kaur Saluja (@mansal3)
github

mansal3

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  • Stars
    star
    28
  • Global Rank 514,552 (Top 18 %)
  • Followers 1
  • Registered almost 7 years ago
  • Most used languages
    R
         54.5 %
    Python
         31.8 %
    Java
         4.5 %
    TypeScript
         4.5 %
    Jupyter Notebook
         4.5 %
  • Location 🇮🇳 India
  • Country Total Rank 20,078
  • Country Ranking
    R
         86

Top repositories

1

Dimension-Reduction

PCA Theory and Code
R
1
star
2

online-library

It was the project based java advance .
Java
1
star
3

RProgramming

R
1
star
4

Business-Intelligence

Insights
1
star
5

DiasFlower

Flower Booke Buying Website
1
star
6

Support-Vector-Machine-

Support Vector Machine theory, Rprogramming,Python Practice
R
1
star
7

Regularisation-OverFitting-and-UnderFitting

All concepts of overfitting and underfitting including bais and variance
Jupyter Notebook
1
star
8

DecisionTree-

Decision Tree using Rpart And Cart Package's
R
1
star
9

Missing-Values-Treatment

missing values treatment in R Code
R
1
star
10

MATPLOT-TUTORIAL

matplot basic theory and python code
Python
1
star
11

Logistic-Regression-

Logistic Regression
R
1
star
12

RandomForest-

R programming on RandomForest
R
1
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13

KmeansClustering

K means Clustering on Iris Dataset
Python
1
star
14

Tableau-

1
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15

SeaBorn-Tutorial

Seaborn code
Python
1
star
16

Imputation-of-Missing-values

Missing values Treatment
R
1
star
17

Hypothesis-Testing

R
1
star
18

HiearchicalClustering

Small Practtice fro Hclustering
R
1
star
19

LOGISTIC-REGRESSION

Bank dataset (loan prediction)
R
1
star
20

PANDAS-TUTORIAL

pandas python code and theory
Python
1
star
21

talend

Some of the basic talend software i use to learn .,Upcoming technology
1
star
22

Linear-Regression-

Linear Regression Notes,R code , Python Code
Python
1
star
23

NUMPY-TUTORIAL

functions perform using numpy : (download rtf file for better understanding )
Python
1
star
24

AI-and-Deep-learning

Theoritical Concepts
1
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25

Python-From-Scratch

Python
1
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26

Web-Scrapping

Web scraping is a technique for converting the data present in unstructured format (HTML tags) over the web to the structured format which can easily be accessed and used. Almost all the main languages provide ways for performing web scraping. In this article, we’ll use R for scraping the data for the most popular feature films of 2016 from the IMDb website. We’ll get a number of features for each of the 100 popular feature films released in 2016. Also, we’ll look at the most common problems that one might face while scraping data from the internet because of lack of consistency in the website code and look at how to solve these problems.
R
1
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27

Tableau

All About Tableau ...Data Visualisation
1
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28

Angular

TypeScript
1
star