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._android.dat
._android.dat
 
 
._sdk_ruuid
._sdk_ruuid
 
 
Mohammed Abba Kaka - Intermediate Machine Learning.png
Mohammed Abba Kaka - Intermediate Machine Learning.png
 
 
Mohammed Abba Kaka - Intro to Machine Learning.png
Mohammed Abba Kaka - Intro to Machine Learning.png
 
 
Mohammed Abba Kaka - Python.png
Mohammed Abba Kaka - Python.png
 
 
README.md
README.md
 
 
categorical-variables.ipynb
categorical-variables.ipynb
 
 
exercise-booleans-and-conditionals.ipynb
exercise-booleans-and-conditionals.ipynb
 
 
exercise-categorical-variables(1).ipynb
exercise-categorical-variables(1).ipynb
 
 
exercise-categorical-variables.ipynb
exercise-categorical-variables.ipynb
 
 
exercise-creating-reading-and-writing.ipynb
exercise-creating-reading-and-writing.ipynb
 
 
exercise-cross-validation.ipynb
exercise-cross-validation.ipynb
 
 
exercise-data-leakage.ipynb
exercise-data-leakage.ipynb
 
 
exercise-explore-your-data.ipynb
exercise-explore-your-data.ipynb
 
 
exercise-functions-and-getting-help.ipynb
exercise-functions-and-getting-help.ipynb
 
 
exercise-introduction-intermidiate-machine-laerning.ipynb
exercise-introduction-intermidiate-machine-laerning.ipynb
 
 
exercise-lists.ipynb
exercise-lists.ipynb
 
 
exercise-loops-and-list-comprehensions.ipynb
exercise-loops-and-list-comprehensions.ipynb
 
 
exercise-missing-values.ipynb
exercise-missing-values.ipynb
 
 
exercise-model-validation.ipynb
exercise-model-validation.ipynb
 
 
exercise-pipelines.ipynb
exercise-pipelines.ipynb
 
 
exercise-random-forests-intermediate.ipynb
exercise-random-forests-intermediate.ipynb
 
 
exercise-random-forests.ipynb
exercise-random-forests.ipynb
 
 
exercise-strings-and-dictionaries.ipynb
exercise-strings-and-dictionaries.ipynb
 
 
exercise-syntax-variables-and-numbers.ipynb
exercise-syntax-variables-and-numbers.ipynb
 
 
exercise-underfitting-and-overfitting.ipynb
exercise-underfitting-and-overfitting.ipynb
 
 
exercise-working-with-external-libraries.ipynb
exercise-working-with-external-libraries.ipynb
 
 
exercise-your-first-machine-learning-model.ipynb
exercise-your-first-machine-learning-model.ipynb
 
 
tutorial-bayesian-optimization-with-xgboost.ipynb
tutorial-bayesian-optimization-with-xgboost.ipynb
 
 
xgboost.ipynb
xgboost.ipynb
 
 

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kaggle-30days-introduction-to-ML-challange

this repo contains a notebook of all the exercises and challanges of the 30 days introductoin to ML challange organized by kaggle to enable ML and Data Scince enthusias to get the basic skills needed to start their own kaggle competition and win big prizes.. and it equip learners with the necessary skill needed to analyze and visualize any dataset

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