GitHub - itsmpython/python_for_data_analysis: Introductory course from Udacity to start looking into Data Analysis Process.

Python for Data Analysis

The notebooks in this rep are my working code when going throug the kaggle competition Titanic - Machine Learning from Disaster

The learning material was referred from Kaggle here

Name	Name	Last commit message	Last commit date
Latest commit History 45 Commits 45 Commits
10_descriptive_statistics.ipynb	10_descriptive_statistics.ipynb
1_numpy_arrays.ipynb	1_numpy_arrays.ipynb
2_pandas_dataframes.ipynb	2_pandas_dataframes.ipynb
3_data_exploration_and_cleaning.ipynb	3_data_exploration_and_cleaning.ipynb
4_working_with_text_data_regexp.ipynb	4_working_with_text_data_regexp.ipynb
5_preparing_numeric_data_using_sklearn.ipynb	5_preparing_numeric_data_using_sklearn.ipynb
6_dealing_with_dates.ipynb	6_dealing_with_dates.ipynb
7_merging_data_using_df_merge_join.ipynb	7_merging_data_using_df_merge_join.ipynb
8_frequency_tables.ipynb	8_frequency_tables.ipynb
9_plotting_with_pandas.ipynb	9_plotting_with_pandas.ipynb
NumPy_operations.ipynb	NumPy_operations.ipynb
NumPy_operations_2.ipynb	NumPy_operations_2.ipynb
README.md	README.md
apache_beam_basics_1.ipynb	apache_beam_basics_1.ipynb
train.csv	train.csv