Francis Ochieng (@ochiengfrancis)
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  • Global Rank 972,609 (Top 34 %)
  • Following 7
  • Registered over 4 years ago
  • Most used languages
    Python
    10.0 %
  • Location πŸ‡°πŸ‡ͺ Kenya
  • Country Total Rank 1,827
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    Python
    1,556

Top repositories

1

HR-Analytics-Predicting-Employee-Attrition

How important would it be for employers to predict employee attrition in their companies.
Jupyter Notebook
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2

My_Portfolio

Jupyter Notebook
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3

FileOrganizer

This is a python script that automatically saves documents/files to a folder of your choice without having to do it Manually.
Python
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4

Credit-Fraud-Detection

In this notebook I have used two algotrithm to solve this classification Problem in orderto perform anomaly detection on the Dataset: 1. Isolation Forest Algorithm 2. Local Outlier Factor Algorithm
Jupyter Notebook
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5

The-Basics-of-Visualization

This repository contains a Jupyter notebook that shows the basics in Data Visualization. It describes what visualization is, Why is it important, Describes the common tools used for Visualization finally demonstrates the Basic Data Visualizations in Python by examples.
Jupyter Notebook
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6

Data-Scientist-s-Starter-Park

One of the most important tools in a Data Scientist’s Starter Pack is Pandas package, there is not limit to what this package can do when it comes to Data Manipulation. This notebook breaks down the in and outs of Data Wrangling, use of Pivot Tables and basic Visualization Techniques using Matplotlib
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7

Online_Pharmaceutical-Sentiment-Reviews

This notebook is to predict the sentiment of the drug users, according to reiews and various other features like the condition they are suffering from, the rating of the drugs used, data of the usage and others.
Jupyter Notebook
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8

Flight-Price-Predictor

This Project uses Random Forest Regressor to predict the cost of Flights across Multiple cities in India.
Jupyter Notebook
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9

Board-Game-Prediction

This is Notebook tries to predict the user reviews in Board Games using Linear and Non-Linear Regression Models, Specifically, Linear Regression Model and Random Forest Regressor Models.
Jupyter Notebook
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10

InstaCart_EDA

This notebook is a simple exploration of the consumers buying habits in an online store-"insta-Cart". By understanding the purchasing behavior of the clients through the orders, the online retailer is able to predict which products are likely to go into the cart next.
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