Ngure George (@pipiblack)
github

pipiblack

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  • Stars
    star
    20
  • Global Rank 640,821 (Top 23 %)
  • Followers 1
  • Following 4
  • Registered almost 4 years ago
  • Most used languages
    Jupyter Notebook
         73.3 %
    Python
         26.7 %
  • Location 🇰🇪 Kenya
  • Country Total Rank 1,160
  • Country Ranking
    Jupyter Notebook
         36
    Python
         700

Top repositories

1

Machine-learning-classiffication

creating classification models
Jupyter Notebook
4
star
2

ml_server

Jupyter Notebook
2
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3

Customer-Churn

Predict the probability of customer churn from a bank, and indicate the respective key performance predictors and indicators for correct implemenytation by the bank.
Jupyter Notebook
1
star
4

creditcardFraud

In this project am building a model to detect fraudulent and legitimate credit card transactions
Jupyter Notebook
1
star
5

Patient-Drug-Recomender

Jupyter Notebook
1
star
6

World-Billionaires-data-scrapping

Python
1
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7

salary_prediction_data_scientist

built a model to predict salaries for data scientists, based on several factors as : experience, company, state of residence and type of job.
Jupyter Notebook
1
star
8

NBA_player-stats-analysis

Python
1
star
9

Autoregressive-Moving-Average-on-Stock

Building an ARIMA model on supermarkets data to explore movement of products
Jupyter Notebook
1
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10

CreditcardFraud-detection

In this project am trying to build a modelthat can detect fraudulent and legitimate transactions
1
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11

Supermarket-sales-analysis

Analysis of sales made in different supermarkets branches
Jupyter Notebook
1
star
12

Supermarket_Stocking_and_FSN_analysis

Jupyter Notebook
1
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13

Terror-Attack-Analysis

Jupyter Notebook
1
star
14

Stock-data-scrapping

Stock analysis builds the basis of a firms investor, and to a prospective investor getting surety of profits from investment is the best of all, in this project, we scrap netflix stock data from yahoo finance and use the data for the stock sales profitability fro netflix project
Python
1
star
15

MY_ml_Pay_server

Python
1
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16

superstore-sales-analysis

Data forms the backbone of every enterprise, and to help them grow they need to have proper understanding of the trends in the sector through this analysis we dive into sales analysis in the superstore and get to draw recomendations on the sales to the store which will help boost their sales through Exploratory data analysis
Jupyter Notebook
1
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