aravindiiitb/machine_learning

As I lern to implement the state-of-the-art techniques in this buzz field called Machine Learning, I would like to share it with the rest of the world. Feel free to create issues and contribute more to this repo. Goal is to make it one stop repository to pick any kind of model that end-user needs. This can only be acheived with your support. Thanks, Aravind Kashyap

machine_learning's Issues

Adde a basic starter python for model building

Please add the following steps in the python script

1. importing libraries
2. loading the dataset
3. filling blank cells
4. turning textual data to numerical
5. taking care of wrong order relationships
6. splitting the dataset into the source variables (independant variables) and the target variable (dependant variable)
7. feature scaling
8. splitting the dataset into training and test set

Give a solution to Loan Prediction problem

Hi,

https://datahack.analyticsvidhya.com/contest/practice-problem-loan-prediction-iii/

Please give a solution to the problem present in the above URL.

Thanks,
Aravind Kashyap

Add random forest code in python

Add decision tree code in R

Add decision tree code in python

Just basic python code where you just read clean data and split it into train/test and fit the model and predict the output and printing the metrics.

Add python notebook of decision tree

publish a python notebook containing the detailed steps as to ho a typical supervised learning problem is executed using decision tree.

Please include the following analysis in your notebook.

1. Read/Preview of the data.
2. Filling the missing values, if any.
3. converting the textual attributes to label using label encoders
4. Using onehot-encoder
5. Distribution plots.
6. Fit the model
7. Precision
8. Recall
9. Accuracy

Please have separate cell for each of the analysis.