Robin Kiplang'at
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week seven - K Nearest Neighbors, Decision Trees,Random Forests.

Posted on June 24, 2018

Immersing self in machine learnings, regression and classification problems can be solved through a variety of steps. For this week the focus is on: [Read More]
Tags: K Nearest Neighbors Decision Trees Random Forests

week six - logistic regression.

Posted on June 17, 2018

This week’s work comes after attending the Data science workshop in Nyeri. It’s taken a while to log for this week. Focus for this week is on; [Read More]
Tags: statistical analysis logistic regression

week five - Intro To ML and Linear Regression.

Posted on June 6, 2018

Machine learning has not been easy to pick up and there has been lots of detours that I took all in supplementing the depth of knowledge that I thought I’d need. [Read More]
Tags: Linear Regression Machine learning Models Prediction

week_four - 911 Calls Capstone Project.

Posted on May 27, 2018

This is an analysis of some 911 call data from Kaggle that I took as a progress milestone to cover for the first batch of learnings. [Read More]
Tags: Plotly data-analysis data-viz seaborn

week_three - Plotly and Cufflinks.

Posted on May 20, 2018

With a polished data exploration skills set and data that I can see and understand, I need to create and build comprehensive and understandable visualizations. [Read More]
Tags: Plotly Cufflinks Geo-plots Choropleth Maps
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Robin Kiplang'at  •  2021

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