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Flickr8k_text
Flickr8k_text
 
 
txt_sentoken
txt_sentoken
 
 
.gitattributes
.gitattributes
 
 
.gitignore
.gitignore
 
 
10_metrics_selection.py
10_metrics_selection.py
 
 
11_spot_checking_classification.py
11_spot_checking_classification.py
 
 
12_spot_checking_regression.py
12_spot_checking_regression.py
 
 
13_compare_ml_models.py
13_compare_ml_models.py
 
 
14_vector_norms.py
14_vector_norms.py
 
 
15_time_series_forecasting.py
15_time_series_forecasting.py
 
 
16_normalise_and_standardise_time_series.py
16_normalise_and_standardise_time_series.py
 
 
17_feature_engineering.py
17_feature_engineering.py
 
 
18_backtest_time_forecasting.py
18_backtest_time_forecasting.py
 
 
19_baseline_predictions_time_series.py
19_baseline_predictions_time_series.py
 
 
1_cart_iris_flower.py
1_cart_iris_flower.py
 
 
20_stationary_time_series_data.py
20_stationary_time_series_data.py
 
 
21_data_preparation.py
21_data_preparation.py
 
 
22_data_cleaning.py
22_data_cleaning.py
 
 
23_identify_outliers.py
23_identify_outliers.py
 
 
24_feature_importance.py
24_feature_importance.py
 
 
25_recursive_feature_selection.py
25_recursive_feature_selection.py
 
 
26_standardisation_normalisation.py
26_standardisation_normalisation.py
 
 
27_ordinal_onehot_encoding.py
27_ordinal_onehot_encoding.py
 
 
28_power_transforms.py
28_power_transforms.py
 
 
29_imbalanced_classification.py
29_imbalanced_classification.py
 
 
2_iris_model.py
2_iris_model.py
 
 
30_imbalanced_data.py
30_imbalanced_data.py
 
 
31_evaluate_imbalanced_model.py
31_evaluate_imbalanced_model.py
 
 
32_undersampling_majority_class.py
32_undersampling_majority_class.py
 
 
33_oversampling_minority_class.py
33_oversampling_minority_class.py
 
 
34_combine_under_over_sampling.py
34_combine_under_over_sampling.py
 
 
35_cost_sensitive_algorithms.py
35_cost_sensitive_algorithms.py
 
 
36_intro_to_theano.py
36_intro_to_theano.py
 
 
37_neural_networks_keras.py
37_neural_networks_keras.py
 
 
38_neural_network_model_keras.py
38_neural_network_model_keras.py
 
 
39_hyperparameters_grid_search_keras.py
39_hyperparameters_grid_search_keras.py
 
 
3_diabetes_demo.py
3_diabetes_demo.py
 
 
40_save_load_model_keras.py
40_save_load_model_keras.py
 
 
41_handwritten_digit_recognition.py
41_handwritten_digit_recognition.py
 
 
42_object_detection_keras.py
42_object_detection_keras.py
 
 
43_sentiment_analysis_keras.py
43_sentiment_analysis_keras.py
 
 
44_rcnn_keras.py
44_rcnn_keras.py
 
 
45_opencv_read.py
45_opencv_read.py
 
 
46_computer_vision_keras.py
46_computer_vision_keras.py
 
 
47_rlrp_keras.py
47_rlrp_keras.py
 
 
48_loss_functions.py
48_loss_functions.py
 
 
49_bagging_emsembles.py
49_bagging_emsembles.py
 
 
4_load_ml_data.py
4_load_ml_data.py
 
 
50_random_forest_ensemble.py
50_random_forest_ensemble.py
 
 
51_adaboost_ensemble.py
51_adaboost_ensemble.py
 
 
52_gradient_boosting_ensemble.py
52_gradient_boosting_ensemble.py
 
 
53_voting_ensemble.py
53_voting_ensemble.py
 
 
54_stacking_ensemble.py
54_stacking_ensemble.py
 
 
55_blending_ensemble_classification.py
55_blending_ensemble_classification.py
 
 
56_blending_ensemble_regression.py
56_blending_ensemble_regression.py
 
 
57_bagging_ensemble_classification.py
57_bagging_ensemble_classification.py
 
 
58_bagging_ensemble_regression.py
58_bagging_ensemble_regression.py
 
 
59_pasting_ensemble.py
59_pasting_ensemble.py
 
 
5_descriptive_statistics.py
5_descriptive_statistics.py
 
 
60_random_subspaces_ensembles.py
60_random_subspaces_ensembles.py
 
 
61_random_patches_ensemble.py
61_random_patches_ensemble.py
 
 
62_lstm_keras.py
62_lstm_keras.py
 
 
63_one_hot_encoding.py
63_one_hot_encoding.py
 
 
64_remove_trends_seasonality.py
64_remove_trends_seasonality.py
 
 
65_handle_missing_time_data.py
65_handle_missing_time_data.py
 
 
66_nlp.py
66_nlp.py
 
 
67_bag_of_words.py
67_bag_of_words.py
 
 
68_word_embeddings.py
68_word_embeddings.py
 
 
69_sentiment_analysis.py
69_sentiment_analysis.py
 
 
6_visualise_ml_data.py
6_visualise_ml_data.py
 
 
70_character_based_neural_model.py
70_character_based_neural_model.py
 
 
71_word_based_neural_model.py
71_word_based_neural_model.py
 
 
72_news_text_summarization.py
72_news_text_summarization.py
 
 
73_train_image_classification.py
73_train_image_classification.py
 
 
74_face_detection.py
74_face_detection.py
 
 
75_image_processing_keras.py
75_image_processing_keras.py
 
 
76_first_last_channels_image.py
76_first_last_channels_image.py
 
 
77_cnn_cifar10.py
77_cnn_cifar10.py
 
 
78_cnn_dogs_cats.py
78_cnn_dogs_cats.py
 
 
79_scale_image_pixels.py
79_scale_image_pixels.py
 
 
7_data_preparation.py
7_data_preparation.py
 
 
80_normalize_image_pixels_keras.py
80_normalize_image_pixels_keras.py
 
 
81_center_image_pixels_keras.py
81_center_image_pixels_keras.py
 
 
82_standardize_image_pixels_keras.py
82_standardize_image_pixels_keras.py
 
 
83_cnn_image.py
83_cnn_image.py
 
 
84_mlp_time_series_forecasting.py
84_mlp_time_series_forecasting.py
 
 
8_feature_selection.py
8_feature_selection.py
 
 
9_model_evaluation.py
9_model_evaluation.py
 
 
README.md
README.md
 
 
bird.jpg
bird.jpg
 
 
bondi_beach.jpg
bondi_beach.jpg
 
 
bondi_beach_grayscale.jpg
bondi_beach_grayscale.jpg
 
 
boston-housing-dataset.csv
boston-housing-dataset.csv
 
 
breast-cancer.csv
breast-cancer.csv
 
 
char_sequences.txt
char_sequences.txt
 
 
daily-births.csv
daily-births.csv
 
 
daily-min-temperatures.csv
daily-min-temperatures.csv
 
 
daily-total-female-births.csv
daily-total-female-births.csv
 
 
gitcommit.sh
gitcommit.sh
 
 
horse-colic.csv
horse-colic.csv
 
 

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MLMastery

This repository contains the code implementations of MachineLearningMastery blogs by Jason Brownlee. The code contains some comments which explain the specific functions along with their parameters.

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