Fridah Wanjala (fwanjala)

fwanjala

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Location:Nairobi, Kenya

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Fridah Wanjala's repositories

120-Data-Science-Interview-Questions

Answers to 120 commonly asked data science interview questions.

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aRt

Generative or data-driven artwork made with R

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Business-Science

Code and Data from Webinars with Matt Dancho from Business Science

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clean-code-ml

:bathtub: Clean Code concepts adapted for machine learning and data science

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Code_Maktaba_Data_Wrangling_R

Files and Materials for Code Maktaba, Data Wrangling Event held at 20th July 2019, ALX, Nairobi, Kenya

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datasets

A collection of datasets of ML problem solving

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h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)

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h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

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joy-of-fp

Supplemental materials for "The joy of functional programming"

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Machine-Learning-Rare-Event-Classification

With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?

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MachineLearningNotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

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mlcourse.ai

Open Machine Learning course mlcourse.ai, both in English and Russian

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Multilabel_classification

Implementation of Multilabel classification algorithm

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Regression-Analysis

Materials used to conduct a 1 hour workshop on regression analysis with Moringa Data Science students on 13th November 2019

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Research-Methods-for-Data-Science-with-R

Research Methods for Data Science with R

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Reviews-Classifier-Heroku-Deployment

Contains my experiments to build a Zomato reviews' sentiment classifier

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satRday-kampala-functions

Materials for the workshop on functions at SatRday, Kampala, May, 2019.

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statrethinking_winter2019

Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019

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tidytuesday

Official repo for the #tidytuesday project

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Top20AnimatedPlot

Animated plot of Top 20 National football teams by goals scored

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useR-2019-docker-for-data-science

Information for the Docker for Data Science Tutorial at useR!2019

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useR2019-materials

Links to materials from tutorials and talks from useR 2019

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user2019-schedule

A different look at the useR 2019 schedule

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useR2019_h2o_tutorial

useR! 2019 Tutorial: Automatic and Explainable Machine Learning with H2O in R (http://www.user2019.fr/tutorials/)

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