CEO (1) Choropleth (1) Cufflinks (1) DDJ (1) Data Viz (1) Decision Trees (1) Geo-plots (1) Gists (1) GridsearchCV (1) K Nearest Neighbors (1) Linear Regression (1) LogisticRegression (1) Machine learning (1) Mapping (1) Maps (1) Matplotlib (1) Maximal Margin Classifier (1) Models (1) NLP (1) Numpy (1) PCA (1) Pandas (1) Plotly (2) Prediction (1) Productivity (1) Python (1) R (1) Random Forests (1) Seaborn (1) Self-optimization (1) Support Vector Machines (1) Text-analysis (1) analysis (1) bag of words (1) books (3) build (1) civic-awareness (2) civic-tech (1) compression algorithm (1) corruption (1) critic (1) data (1) data analysis (1) data visualization (1) data-analysis (1) data-driven journalism (1) data-visualization (1) data-viz (2) deliberate practice (1) django (1) elections (1) entrepreneurship (1) fun (1) github (1) governance (1) grit (1) iebc (1) kaggle (1) kenya (1) life (1) life-learnings (3) logistic regression (1) maps (1) musings (1) nltk (1) numpy (2) open-source (1) pandas (2) plots (1) poetry (1) python (3) seaborn (1) shakespeare (1) startups (1) statistical analysis (1) tech (1) test (1) text analysis (1) text mining (1) twitter restAPI (1) vote (1) wordcloud (1)

 CEO (1)

When Dreams conflict with Reality.

 Choropleth (1)

week_three - Plotly and Cufflinks.
week_three - Plotly and Cufflinks.

 DDJ (1)

Mapping in 5 easy steps

 Data Viz (1)

week_two = Data Viz,Matplotlib and Seaborn.

 Decision Trees (1)

week seven - K Nearest Neighbors, Decision Trees,Random Forests.

 Geo-plots (1)

week_three - Plotly and Cufflinks.

 Gists (1)

Using Gists

 GridsearchCV (1)

week eight - Support Vector Machines.

 K Nearest Neighbors (1)

week seven - K Nearest Neighbors, Decision Trees,Random Forests.

 Linear Regression (1)

week five - Intro To ML and Linear Regression.

 LogisticRegression (1)

Getting started with Kaggle Titanic problem using Logistic Regression

 Machine learning (1)

week five - Intro To ML and Linear Regression.

 Mapping (1)

Mapping a jogging track

 Maps (1)

week_three - Plotly and Cufflinks.

 Matplotlib (1)

week_two = Data Viz,Matplotlib and Seaborn.

 Maximal Margin Classifier (1)

week eight - Support Vector Machines.

 Models (1)

week five - Intro To ML and Linear Regression.

 NLP (1)

week nine - Natural Language Processing.

 Numpy (1)

week_one = [ Python, Numpy and Pandas]

 PCA (1)

week ten - Principal Component Analysis.

 Pandas (1)

week_one = [ Python, Numpy and Pandas]

 Plotly (2)

week_four - 911 Calls Capstone Project.
week_three - Plotly and Cufflinks.

 Prediction (1)

week five - Intro To ML and Linear Regression.

 Productivity (1)

Is Deliberate Practice for Me.

 Python (1)

Getting Started With Django

 R (1)

Generate a word cloud in R

 Random Forests (1)

week seven - K Nearest Neighbors, Decision Trees,Random Forests.

 Seaborn (1)

week_two = Data Viz,Matplotlib and Seaborn.

 Self-optimization (1)

Is Deliberate Practice for Me.

 Support Vector Machines (1)

week eight - Support Vector Machines.

 Text-analysis (1)

week nine - Natural Language Processing.

 analysis (1)

week ten - Principal Component Analysis.

 bag of words (1)

week nine - Natural Language Processing.

 books (3)

When Dreams conflict with Reality.
Flake it till you make it
To be

 build (1)

What's special about innovating?

 civic-awareness (2)

My beloved is hooked on graft
Owning A Government

 civic-tech (1)

How African journalists helped crack the Panama Papers

 compression algorithm (1)

week ten - Principal Component Analysis.

 corruption (1)

My beloved is hooked on graft

 critic (1)

Man in the Arena

 data (1)

Plot 9 charts with a line (or 2) in Python

 data analysis (1)

Getting started with Kaggle Titanic problem using Logistic Regression

 data visualization (1)

Mapping in 5 easy steps

 data-analysis (1)

week_four - 911 Calls Capstone Project.

 data-driven journalism (1)

How African journalists helped crack the Panama Papers

 data-visualization (1)

Plot 9 charts with a line (or 2) in Python

 data-viz (2)

week_four - 911 Calls Capstone Project.
Mapping a jogging track

 deliberate practice (1)

Is Deliberate Practice for Me.

 django (1)

Getting Started With Django

 elections (1)

Mapping in 5 easy steps

 entrepreneurship (1)

When Dreams conflict with Reality.

 fun (1)

With Out Adventures

 github (1)

Using Gists

 governance (1)

Owning A Government

 grit (1)

Man in the Arena

 iebc (1)

Mapping in 5 easy steps

 kaggle (1)

Getting started with Kaggle Titanic problem using Logistic Regression

 kenya (1)

Mapping in 5 easy steps

 life (1)

What's special about innovating?

 life-learnings (3)

With Out Adventures
Searching for Inspiration
Nurture Nature

 logistic regression (1)

week six - logistic regression.

 maps (1)

Mapping in 5 easy steps

 musings (1)

Searching for Inspiration

 nltk (1)

week nine - Natural Language Processing.

 numpy (2)

Plot 9 charts with a line (or 2) in Python
Mapping a jogging track

 open-source (1)

Mapping in 5 easy steps

 pandas (2)

Plot 9 charts with a line (or 2) in Python
Mapping a jogging track

 plots (1)

Plot 9 charts with a line (or 2) in Python

 poetry (1)

With Out Adventures

 python (3)

week_one = [ Python, Numpy and Pandas]
Plot 9 charts with a line (or 2) in Python
Mapping a jogging track

 seaborn (1)

week_four - 911 Calls Capstone Project.

 shakespeare (1)

To be

 startups (1)

When Dreams conflict with Reality.

 statistical analysis (1)

week six - logistic regression.

 tech (1)

Getting Started With Django

 test (1)

Flake it till you make it

 text analysis (1)

Text mining and analysis with tweets

 text mining (1)

Text mining and analysis with tweets

 twitter restAPI (1)

Text mining and analysis with tweets

 vote (1)

Owning A Government

 wordcloud (1)

Generate a word cloud in R