add code for Zadanie 1

.gitignore

@@ -0,0 +1,2 @@
+.idea
+*.iml

README.md

@@ -0,0 +1,12 @@
+## Project for Inżynieria Uczenia Maszynowego class.
+
+The scope of this project is to propose a classifier based on Smart Grid Stability dataset:
+https://www.kaggle.com/pcbreviglieri/smart-grid-stability
+while using proper ML tools in a correct way.
+
+### Zadanie 1
+script.sh downloads and unzips the dataset and executes python_script.sh,
+which then normalizes the data, divides the dataset into train, test and validation subsets
+and prints a short summary of the dataset as well as its subsets.
+
+ium01.ipynb is a notebook used to develop previously mentioned scripts.

python_script.py

@@ -0,0 +1,36 @@
+import pandas as pd
+
+from sklearn import preprocessing
+from sklearn.model_selection import train_test_split
+
+
+df = pd.read_csv('smart_grid_stability_augmented.csv')
+min_max_scaler = preprocessing.MinMaxScaler()
+df_norm_array = min_max_scaler.fit_transform(df.iloc[:, 0:-1])
+df_norm = pd.DataFrame(data=df_norm_array,
+                       columns=df.columns[:-1])
+df_norm['stabf'] = df['stabf']
+
+train, testAndValid = train_test_split(
+    df_norm,
+    test_size=0.2,
+    random_state=42,
+    stratify=df_norm['stabf'])
+
+test, valid = train_test_split(
+    testAndValid,
+    test_size=0.5,
+    random_state=42,
+    stratify=testAndValid['stabf'])
+
+
+def namestr(obj, namespace):
+    return [name for name in namespace if namespace[name] is obj]
+
+
+dataset = df_norm
+for x in [dataset, train, test, valid]:
+    print([q for q in namestr(x, globals()) if len(q) == max([len(w) for w in namestr(x, globals())])][-1])
+    print("size:", len(x))
+    print(x.describe(include='all'))
+    print("class distribution", x.value_counts('stabf'))

script.sh

@@ -0,0 +1,6 @@
+#!/bin/bash
+
+kaggle datasets download -d 'pcbreviglieri/smart-grid-stability' >>/dev/null 2>&1
+unzip smart-grid-stability.zip >>/dev/null 2>&1
+
+python python_script.py