Launching into Machine Learning

Improving Data Quality

git clone https://github.com/GoogleCloudPlatform/training-data-analyst
training-data-analyst > courses > machine_learning > deepdive2 > launching_into_ml > labs, and open improve_data_quality.ipynb.

Exploratory Data Analysis Using Python and BigQuery

git clone https://github.com/GoogleCloudPlatform/training-data-analyst
training-data-analyst > courses > machine_learning > deepdive2 > launching_into_ml > labs and open python.BQ_explore_data.ipynb.

Linear Regression

git clone https://github.com/GoogleCloudPlatform/training-data-analyst
training-data-analyst > courses > machine_learning > deepdive2 > launching_into_ml > Labs and open intro_linear_regression.ipynb.

Introduction to Logistic Regression

git clone https://github.com/GoogleCloudPlatform/training-data-analyst
training-data-analyst > courses > machine_learning > deepdive2 > launching_into_ml > labs, and open intro_logistic_regression.ipynb.

Maintaining Consistency in Training with Repeatable Splitting

git clone https://github.com/GoogleCloudPlatform/training-data-analyst
training-data-analyst > courses > machine_learning > deepdive2 > launching_into_ml > labs and open repeatable_splitting.ipynb.

Exploring and Creating ML Datasets

git clone https://github.com/GoogleCloudPlatform/training-data-analyst
training-data-analyst > courses > machine_learning > deepdive2 > launching_into_ml > solutions and open explore_data.ipynb.

Creating Decision Trees and Random Forests in Python

git clone https://github.com/GoogleCloudPlatform/training-data-analyst
training-data-analyst > courses > machine_learning > deepdive2 > launching_into_ml > labs, and open decision_trees_and_random_Forests_in_Python.ipynb.