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.

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

Priyansh-Kedia/MLMastery

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