Removed unnecessary files, added report draft

part1.py

-import pandas as pd
-import numpy as np
-import sklearn
-import scipy
-from sklearn.model_selection import train_test_split
-from sklearn.metrics import accuracy_score
-import matplotlib.pyplot as plt
-
-#Read CSV file as Pandas Dataframe
-train_df = pd.read_csv('TrainingDataBinary.csv')
-test_df = pd.read_csv('TestingDataBinary.csv')
-
-#Confirm reading of files
-print(train_df.head)
-print("----------------------------------")
-print(test_df.head)
-
-# Get the summary statistics of the data
-print(train_df.describe())
-
-# Get the information about the columns of the DataFrame
-print(train_df.info())
-
-# Create a histogram to show the distribution of a column
-plt.hist(train_df['marker'])
\ No newline at end of file