pknotfound/MLMastery

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Name		Name	Last commit message	Last commit date
Latest commit History 251 Commits
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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