SYMBOL INDEX (38 symbols across 6 files)

FILE: Tematik_Egitimler/Makine_Ogrenmesi_Mayis_2024/Uygulama_1/transformations.py
  function standardize_dataset (line 7) | def standardize_dataset(df: DataFrame):
  function normalize_dataset (line 13) | def normalize_dataset(df: DataFrame,
  function box_cox (line 27) | def box_cox(data,
  function yeo_johnson (line 38) | def yeo_johnson(data,

FILE: Tematik_Egitimler/Makine_Ogrenmesi_Mayis_2024/Uygulama_1/utils_encoding.py
  function encode_one_hot (line 5) | def encode_one_hot(df: DataFrame,
  function ordinal_encoding (line 19) | def ordinal_encoding(df: DataFrame,

FILE: Tematik_Egitimler/Makine_Ogrenmesi_Mayis_2024/Uygulama_1/utils_missing_data.py
  function completeness_overall (line 21) | def completeness_overall(df: pandas.DataFrame):
  function completeness_feature (line 27) | def completeness_feature(df: pandas.DataFrame):
  function completeness_data_point (line 34) | def completeness_data_point(df: pandas.DataFrame):
  function remove_columns (line 38) | def remove_columns(df: pandas.DataFrame,
  function parse_date (line 49) | def parse_date(df: pandas.DataFrame,
  function introduce_nans (line 71) | def introduce_nans(df: pandas.DataFrame,
  function report_completeness (line 91) | def report_completeness(df: pandas.DataFrame,
  function sub_dataframe (line 107) | def sub_dataframe(df: pandas.DataFrame,
  function polcon2AQI (line 153) | def polcon2AQI(pol_name: str, val:float):
  function generate_class_label (line 174) | def generate_class_label(row: pandas.Series):
  function generate_class_labels (line 182) | def generate_class_labels(df: pandas.DataFrame):
  function test_data_classification (line 194) | def test_data_classification(df: pandas.DataFrame,
  function test_data_regression (line 229) | def test_data_regression(df:pandas.DataFrame, df_org:pandas.DataFrame,
  function _data_out (line 274) | def _data_out(df: pandas.DataFrame,
  function sum_results (line 282) | def sum_results(res_list: List[dict]):
  function plot_results (line 295) | def plot_results(data_in: List[dict]):

FILE: Webinar/Webinar-II-VeriOnisleme/data_generator.py
  function generate_skewed_data (line 9) | def generate_skewed_data(location: float = 1.0,
  function add_noise (line 25) | def add_noise(data_point: float,
  function generate_skewed_data_left (line 32) | def generate_skewed_data_left(size: int = 10000):
  function generate_skewed_data_right (line 39) | def generate_skewed_data_right(size: int = 10000):
  function generate_extreme_skewed_data_right (line 46) | def generate_extreme_skewed_data_right(size: int = 10000,
  function generate_uniform_dataset (line 55) | def generate_uniform_dataset(n_data_points=100,
  function generate_blobbed_dataset (line 65) | def generate_blobbed_dataset(n_data_points=100,

FILE: Webinar/Webinar-II-VeriOnisleme/transformations.py
  function standardize_dataset (line 7) | def standardize_dataset(df: DataFrame):
  function normalize_dataset (line 13) | def normalize_dataset(df: DataFrame,
  function box_cox (line 27) | def box_cox(data,
  function yeo_johnson (line 38) | def yeo_johnson(data,

FILE: Webinar/Webinar-VII-YOLO ile Mamografi Görüntülerinden Kitle Tespit Uygulaması/utils.py
  function create_data_dir (line 19) | def create_data_dir(folderPath):
  function draw_annotation (line 23) | def draw_annotation(image, line):
  function saveImages (line 39) | def saveImages(dicomFilePath, saveFolderPath):
  function loadPoint (line 74) | def loadPoint(point_string):
  function saveMaskYOLOFormat (line 79) | def saveMaskYOLOFormat(xmlFilePath, imageFilePath, saveMaskPath, biradsS...