Packt Python Machine Learning Crash Course for Beginners-XQZT

Another exquisit release
Packt.Python.Machine.Learning.Crash.Course.for.Beginners-XQZT
     Title: Python Machine Learning Crash Course for Beginners
 Publisher: Packt
  Category: Data
      Size: 5331M
     Files: 11F
      Date: 2021-04-26
  Course #: 9781801077453
 Published: Packt
   Updated: N/A
       URL: https://www.packtpub.com/video/data/9781801077453
    Author: AI Sciences
  Duration: 9 hours 27 minutes
 Exer/Code: [X]
Installation:
Unpack that shit, run that shit
Description:
Dive into the world of machine learning and create projects with
real-world applications

33M	01.01-introduction.mkv
81M	01.02-focus_of_the_course.mkv
97M	02.01-machine_learning_applications-part_1.mkv
104M	02.02-machine_learning_applications-part_2.mkv
73M	02.03-why_machine_learning_is_trending_now.mkv
101M	03.01-supervised_learning.mkv
104M	03.02-unsupervised_learning_and_reinforcement_learning.mkv
137M	04.01-features.mkv
177M	04.02-features_practice_with_python.mkv
47M	04.03-regression.mkv
148M	04.04-regression_practice_with_python.mkv
38M	04.05-classification.mkv
60M	04.06-classification_practice_with_python.mkv
38M	04.07-clustering.mkv
60M	04.08-clustering_practice_with_python.mkv
68M	05.01-handling_image_data.mkv
80M	05.02-handling_video_and_audio_data.mkv
91M	05.03-handling_text_data_and_one_hot_encoding.mkv
213M	05.04-one_hot_encoding.mkv
132M	05.05-data_standardization.mkv
81M	06.01-machine_learning_model_1.mkv
128M	06.02-machine_learning_model_2.mkv
87M	06.03-machine_learning_model_3.mkv
89M	06.04-training_process_error_cost_and_loss.mkv
111M	06.05-optimization.mkv
63M	07.01-linear_regression_from_scratch-part_1.mkv
140M	07.02-linear_regression_from_scratch-part_2.mkv
59M	07.03-minimum-to-mean_distance_classifier_from_scratch-part_1.mkv
68M	07.04-minimum-to-mean_distance_classifier_from_scratch-part_2.mkv
52M	07.05-k-means_clustering_from_scratch-part_1.mkv
159M	07.06-k-means_clustering_from_scratch-part_2.mkv
59M	08.01-overfitting_introduction.mkv
114M	08.02-an_overfitting_example_on_python.mkv
160M	08.03-regularization.mkv
102M	08.04-generalization.mkv
147M	08.05-data_snooping_and_the_test_set.mkv
92M	08.06-cross-validation.mkv
57M	09.01-the_accuracy.mkv
78M	09.02-the_confusion_matrix.mkv
299M	10.01-the_curse_of_dimensionality.mkv
86M	10.02-the_principal_component_analysis_(pca).mkv
84M	11.01-introduction_to_deep_neural_networks_(dnn).mkv
49M	11.02-introduction_to_convolutional_neural_networks_(cnn).mkv
81M	11.03-introduction_to_recurrent_neural_networks_(rnn).mkv
119M	12.01-principal_component_analysis_(pca)_with_python.mkv
112M	12.02-pipeline_in_scikit-learn_for_machine_learning_project.mkv
139M	12.03-cross-validation_with_python.mkv
312M	12.04-face_recognition_project_with_python.mkv
334M	13.01-mathematics_wrap-up.mkv
1.5M	9781801077453_Code.zip
5.2G	total