Machine Learning
Machine Learning Modelling On Regression & Classification Problems
Linear Regression
Code - Training Notebook
Datasets - Medical Insurance Dataset
Model Weights - Linear Regression Weights For Medical Insurance Dataset
Logistic Regression
Code - Training Notebook
Datasets - Australia Weather Dataset
Model Weights - Logistic Regression Weights For Australia Weather Dataset
Decision Trees
Code - Training Notebook
Datasets - Australia Weather Dataset
Model Weights - Logistic Regression Weights For Australia Weather Dataset
Helper Functions
Functions
def dtype_select(dtypes)
:
Returns Column Names With Specific Data Values (dtypes
) From Dataset Defined When Assigning Variable To Class
def impute(numeric_cols, missing_values, strategy)
:
Imputes missing_values
Of numeric_cols
Of Dataset With Specified strategy
def minMax(numeric_cols)
:
Scales All Values In numeric_cols
Of Dataset To A (0,1) Range
def one_hot(cat_cols)
:
Encodes All Values In cat_cols
Of Dataset By Each Unique Value
Code
Python File
Test Notebook
Key Packages
scikit-learn : pip install sklearn
/ conda install sklearn
The Best Python Library For Statistical Anaylsis Techniques
Pandas : pip install pandas
/ conda install pandas
A Go-To Tool For Tabular Data Handling & Manipulation
NumPy : pip install numpy
/ conda install numpy
The Most Prominent Library For Scientific Numeric Computation