Clifford George (@cliffstats)
  • Stars
    star
    23
  • Global Rank 587,022 (Top 21 %)
  • Followers 4
  • Following 3
  • Registered about 7 years ago
  • Most used languages
    Python
    21.4 %
    R
    14.3 %
    CSS
    7.1 %
  • Location πŸ‡°πŸ‡ͺ Kenya
  • Country Total Rank 1,025
  • Country Ranking
    R
    31
    Python
    834
    CSS
    910

Top repositories

1

Recommender-System-using-PySpark

User Based Collaborative Filtering Recommender System
Jupyter Notebook
5
star
2

Facebook-Scrapper

Facebook Scrapper
Jupyter Notebook
2
star
3

Twitter-scrapping-using-python

Python code for mining data from twitter
Python
1
star
4

Webscrapping-and-Visualization

Web scrapping Car data and Visualizing using Tableau
Jupyter Notebook
1
star
5

Using-user-defined-function-in-R

using functions to export data/table to excel
R
1
star
6

data-cleaning-and-manipulation

R code for removing common errors and restructuring data
1
star
7

Topic-modelling-using-K-means-and-LDA-in-python

Topic modelling using K-means clustering and Latent Dirichlet Allocation: Jupyter notebook
Jupyter Notebook
1
star
8

LinkedIn-Scrapper

Get Your Connection's information in convenient excel format
Jupyter Notebook
1
star
9

Unique-Weblink-Scrapper

Using Python to scrape all unique weblink that locate other webpages.
Python
1
star
10

Online_Store_Scrapper

Scrapping online stores like kilimall during special offers and deals.
Jupyter Notebook
1
star
11

TextAnalysis2018

updating and optimizing codes for text classification predictive models
R
1
star
12

Customized-Login-Page

Create a customized login page using CSS3 and HTML5
CSS
1
star
13

Python-code-for-reccomendation-systems

Simple Python code for recommendation systems on websites
Python
1
star
14

using-ggplot2-in-R

using ggplot to create analytical graphs
1
star
15

Sports-Website-Scrapper

Scrapping sports data to be used in prediction using selenium library
Jupyter Notebook
1
star
16

data-simulation-in-R

simple R code for generating random data given certain parameters
1
star
17

Data-Analysis-using-Pandas-Library

Using Pandas library to clean and analyze data then visualizing the results for actionable insights
Jupyter Notebook
1
star