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Exploring an old Kaggle dataset for predicting salary.

Requirements:

Python 3.5

Numpy

Scikit Learn

TensorFlow

Jupityer Notebooks

Name		Name	Last commit message	Last commit date
Latest commit History 100 Commits
.gitignore		.gitignore
README.md		README.md
clean_text.py		clean_text.py
complete_listing.txt		complete_listing.txt
fit_multi_column.ipynb		fit_multi_column.ipynb
generate_kaggle_data.py		generate_kaggle_data.py
generate_lda_data.py		generate_lda_data.py
generate_wordvector_data.py		generate_wordvector_data.py
lda_data_representation.ipynb		lda_data_representation.ipynb
lda_model.pkl		lda_model.pkl
lstm_char_level.py		lstm_char_level.py
neural_network_bow_tensor_flow.ipynb		neural_network_bow_tensor_flow.ipynb
neural_network_kaggle_winner_inspired_tensor_flow.ipynb		neural_network_kaggle_winner_inspired_tensor_flow.ipynb
neural_network_word_2_vec_tensor_flow.ipynb		neural_network_word_2_vec_tensor_flow.ipynb
non_neural_net_models.ipynb		non_neural_net_models.ipynb
preprocess_text_data.py		preprocess_text_data.py
simple_linear_regression_bow_tensor_flow.ipynb		simple_linear_regression_bow_tensor_flow.ipynb
simple_linear_regression_word_2_vec_tensor_flow.ipynb		simple_linear_regression_word_2_vec_tensor_flow.ipynb
split_data.py		split_data.py
tf_utils.py		tf_utils.py
tf_utils_test.py		tf_utils_test.py
word2vec_training.ipynb		word2vec_training.ipynb
words-by-frequency.txt		words-by-frequency.txt