diff --git a/.DS_Store b/.DS_Store
index 106eb59f4485db07cba0073733956842b640812f..942fd30a9f40b152c4f4b81765b733297b33664c 100644
Binary files a/.DS_Store and b/.DS_Store differ
diff --git a/Models/TDA_Prediction.py b/Models/TDA_Prediction.py
deleted file mode 100644
index bd9c6e29e6784898059c36e0dc382088efe91ba8..0000000000000000000000000000000000000000
--- a/Models/TDA_Prediction.py
+++ /dev/null
@@ -1,64 +0,0 @@
-def dataload():
-    """
-    upload toy datasets from scikit-learn
-    """
-    data = None
-    return data
-
-def datafetch(file_name):
-    """
-    upload real world datasets from scikit-learn
-    """
-    data = None
-    print("reading data from:", file_name)
-    return data
-
-def descriptive_statistic(df):
-    """
-    Provides brief descriptive statistics on dataset. 
-    Takes dataframe as input.
-    """
-    print("Type : ", None, "\n\n")
-    print("Shape : ", None)
-    print("Head -- \n", None)
-    print("\n\n Tail -- \n", None)
-    print("Describe : ", None)
-    
-def model_selection(df):
-    """
-    Takes dateframe as input. Performs foward/backward stepwise
-    regression. Returns best model for both methods.
-    """
-    null_fit = None
-    foward_step = None
-    backward_step = None
-    return foward_step, backward_step
-
-def MSE_fit(fit): 
-    """
-    Takes in a fitted model as the input.
-    Calculates the MSU of the fitted model.
-    Outputs the model's MSE.
-    """
-    MSE = None
-    return MSE
-
-def accuracy_metrics(fit, MSE):
-    """
-    This function is used for model validation. It returns a dictionary
-    of several regression model accuracy metrics. Its inputs are a fitted model
-    and the MSE of the fitted model.
-    """
-    d = dict()
-    sumObj = None
-    SSE = None
-    n = None
-    p = None
-    pr = None
-    d['R2'] = None
-    d['R2ad'] = None
-    d['AIC'] = None
-    d['BIC'] = None
-    d['PRESS'] = None
-    d['Cp']= None
-    return d
\ No newline at end of file
diff --git a/Models/__pycache__/TDA_Prediction.cpython-37.pyc b/Models/__pycache__/TDA_Prediction.cpython-37.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..677893168cd75bddce499a302a50388551b43c8c
Binary files /dev/null and b/Models/__pycache__/TDA_Prediction.cpython-37.pyc differ
diff --git a/Topological_Machine_Learning/.DS_Store b/Topological_Machine_Learning/.DS_Store
deleted file mode 100644
index 7196b2f952ea476a0da897cb355f6bf9b0581816..0000000000000000000000000000000000000000
Binary files a/Topological_Machine_Learning/.DS_Store and /dev/null differ
diff --git a/Topological_Machine_Learning/.ipynb_checkpoints/Untitled1-checkpoint.ipynb b/Topological_Machine_Learning/.ipynb_checkpoints/Untitled1-checkpoint.ipynb
deleted file mode 100644
index 2fd64429bf421126b7000c94ce0f6fd186fbd01f..0000000000000000000000000000000000000000
--- a/Topological_Machine_Learning/.ipynb_checkpoints/Untitled1-checkpoint.ipynb
+++ /dev/null
@@ -1,6 +0,0 @@
-{
- "cells": [],
- "metadata": {},
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/Topological_Machine_Learning/.ipynb_checkpoints/__init__.py-checkpoint.ipynb b/Topological_Machine_Learning/.ipynb_checkpoints/__init__.py-checkpoint.ipynb
deleted file mode 100644
index 2fd64429bf421126b7000c94ce0f6fd186fbd01f..0000000000000000000000000000000000000000
--- a/Topological_Machine_Learning/.ipynb_checkpoints/__init__.py-checkpoint.ipynb
+++ /dev/null
@@ -1,6 +0,0 @@
-{
- "cells": [],
- "metadata": {},
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/Topological_Machine_Learning/TDA_Prediction.py b/Topological_Machine_Learning/TDA_Prediction.py
deleted file mode 100644
index bd9c6e29e6784898059c36e0dc382088efe91ba8..0000000000000000000000000000000000000000
--- a/Topological_Machine_Learning/TDA_Prediction.py
+++ /dev/null
@@ -1,64 +0,0 @@
-def dataload():
-    """
-    upload toy datasets from scikit-learn
-    """
-    data = None
-    return data
-
-def datafetch(file_name):
-    """
-    upload real world datasets from scikit-learn
-    """
-    data = None
-    print("reading data from:", file_name)
-    return data
-
-def descriptive_statistic(df):
-    """
-    Provides brief descriptive statistics on dataset. 
-    Takes dataframe as input.
-    """
-    print("Type : ", None, "\n\n")
-    print("Shape : ", None)
-    print("Head -- \n", None)
-    print("\n\n Tail -- \n", None)
-    print("Describe : ", None)
-    
-def model_selection(df):
-    """
-    Takes dateframe as input. Performs foward/backward stepwise
-    regression. Returns best model for both methods.
-    """
-    null_fit = None
-    foward_step = None
-    backward_step = None
-    return foward_step, backward_step
-
-def MSE_fit(fit): 
-    """
-    Takes in a fitted model as the input.
-    Calculates the MSU of the fitted model.
-    Outputs the model's MSE.
-    """
-    MSE = None
-    return MSE
-
-def accuracy_metrics(fit, MSE):
-    """
-    This function is used for model validation. It returns a dictionary
-    of several regression model accuracy metrics. Its inputs are a fitted model
-    and the MSE of the fitted model.
-    """
-    d = dict()
-    sumObj = None
-    SSE = None
-    n = None
-    p = None
-    pr = None
-    d['R2'] = None
-    d['R2ad'] = None
-    d['AIC'] = None
-    d['BIC'] = None
-    d['PRESS'] = None
-    d['Cp']= None
-    return d
\ No newline at end of file
diff --git a/Topological_Machine_Learning/__init__.py b/Topological_Machine_Learning/__init__.py
deleted file mode 100644
index 2fd64429bf421126b7000c94ce0f6fd186fbd01f..0000000000000000000000000000000000000000
--- a/Topological_Machine_Learning/__init__.py
+++ /dev/null
@@ -1,6 +0,0 @@
-{
- "cells": [],
- "metadata": {},
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/Topological_Machine_Learning/__init__.py.ipynb b/Topological_Machine_Learning/__init__.py.ipynb
deleted file mode 100644
index 30349492904d6ab76fc13a00d78259b0fb9f8b6a..0000000000000000000000000000000000000000
--- a/Topological_Machine_Learning/__init__.py.ipynb
+++ /dev/null
@@ -1,32 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/Topological_Machine_Learning/__pycache__/__init__.cpython-37.pyc b/Topological_Machine_Learning/__pycache__/__init__.cpython-37.pyc
deleted file mode 100644
index 1cdb03ac8b5d5281d83237dfc0207ee9fc9ba3dd..0000000000000000000000000000000000000000
Binary files a/Topological_Machine_Learning/__pycache__/__init__.cpython-37.pyc and /dev/null differ