Humble Bundle Artificial Intelligence Machine Learning by Packt | 6D4359663CC37227EAE701337C9F6A2411AF3920

Humble Bundle Artificial Intelligence Machine Learning by Packt

Name	Humble Bundle - Artificial Intelligence & Machine Learning by Packt	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	8.7 GB
Total Files	576
Hash	6D4359663CC37227EAE701337C9F6A2411AF3920

/Mathematical Foundation for AI and Machine Learning/
video3_5.mp4	539.2 MB
mathematicalfoundationforaiandmachinelearning_video.docx	19.5 KB
mathematicalfoundationforaiandmachinelearning_video.pdf	71.2 KB
video1_1.mp4	8.9 MB
video2_1.mp4	55.1 MB
video2_2.mp4	16.9 MB
video2_3.mp4	36.8 MB
video2_4.mp4	29.3 MB
video2_5.mp4	21.4 MB
video2_6.mp4	56.9 MB
video3_1.mp4	36.5 MB
video3_2.mp4	17.5 MB
video3_3.mp4	23.2 MB
video3_4.mp4	33.0 MB
video4_1.mp4	65.3 MB
video4_2.mp4	39.6 MB
video4_3.mp4	35.3 MB
video4_4.mp4	49.5 MB
video4_5.mp4	38.7 MB
video5_1.mp4	45.7 MB
/Advanced Artificial Intelligence Projects with Python/
advancedartificialintelligenceprojectswithpython_video.docx	20.0 KB
video1_1.mp4	6.3 MB
video1_2.mp4	8.4 MB
video1_3.mp4	7.8 MB
video1_4.mp4	59.8 MB
video1_5.mp4	8.8 MB
video1_6.mp4	70.3 MB
video2_1.mp4	20.5 MB
video2_2.mp4	63.6 MB
video2_3.mp4	29.9 MB
video2_4.mp4	61.5 MB
video3_1.mp4	21.8 MB
video3_2.mp4	12.7 MB
video3_3.mp4	53.0 MB
video3_4.mp4	36.0 MB
/.../Advanced-Artificial-Intelligence-Projects-with-Python-master/
LICENSE	1.1 KB
README.md	0.2 KB
/.../Advanced-Artificial-Intelligence-Projects-with-Python-master/section-1-nlp/
EnronEntities.ipynb	871.4 KB
EnronEntities.py	7.3 KB
WikipediaKeywords.ipynb	108.9 KB
WikipediaKeywords.py	1.7 KB
/.../section-2-genetic-algorithms/
XKCDgenalg.ipynb	43.6 KB
XKCDgenalg.py	6.2 KB
/Supplement/
LICENSE	1.1 KB
README.md	0.2 KB
/Supplement/section-1-nlp/
EnronEntities.ipynb	871.4 KB
EnronEntities.py	7.3 KB
WikipediaKeywords.ipynb	108.9 KB
WikipediaKeywords.py	1.7 KB
/.../section-2-genetic-algorithms/
GeneticMixTapeGenerator.ipynb	33.4 KB
GeneticMixTapeGenerator.py	11.2 KB
GeneticMixTapeGeneratorPrep.ipynb	47.8 KB
GeneticMixTapeGeneratorPrep.py	3.2 KB
XKCDgenalg.ipynb	43.6 KB
XKCDgenalg.py	6.2 KB
/.../section-3-reinforcement-learning/
LunarLanderQLearning.ipynb	9.4 KB
LunarLanderQLearning.py	4.0 KB
/Deep Learning Architecture for Building Artificial Neural Networks/
deeplearningarchitectureforbuildingartificialneuralnetworks_ - Copy.docx	19.5 KB
deeplearningarchitectureforbuildingartificialneuralnetworks_video.docx	19.5 KB
deeplearningarchitectureforbuildingartificialneuralnetworks_video.pdf	82.0 KB
video1_1.mp4	95.1 MB
video1_2.mp4	135.4 MB
video1_3.mp4	20.4 MB
video1_4.mp4	8.8 MB
video1_5.mp4	9.8 MB
video2_1.mp4	13.6 MB
video2_2.mp4	13.2 MB
video2_3.mp4	11.6 MB
video2_4.mp4	6.9 MB
video3_1.mp4	7.5 MB
video3_2.mp4	8.3 MB
video3_3.mp4	18.1 MB
video3_4.mp4	11.3 MB
video4_1.mp4	12.1 MB
video4_2.mp4	10.3 MB
video4_3.mp4	9.9 MB
video4_4.mp4	11.5 MB
/Deep Learning with PyTorch/
deeplearningwithpytorch_video.docx	26.0 KB
video1_1.mp4	23.3 MB
video1_2.mp4	12.1 MB
video1_3.mp4	42.8 MB
video1_4.mp4	18.0 MB
video1_5.mp4	64.4 MB
video1_6.mp4	8.1 MB
video1_7.mp4	10.1 MB
video1_8.mp4	33.1 MB
video1_9.mp4	32.0 MB
video2_1.mp4	28.0 MB
video2_2.mp4	3.4 MB
video2_3.mp4	8.4 MB
video2_4.mp4	27.4 MB
video2_5.mp4	23.4 MB
video2_6.mp4	20.4 MB
video3_1.mp4	15.8 MB
video3_2.mp4	30.5 MB
video3_3.mp4	36.2 MB
video3_4.mp4	37.2 MB
video3_5.mp4	34.2 MB
video3_6.mp4	33.8 MB
video3_7.mp4	42.0 MB
video4_1.mp4	12.6 MB
video4_2.mp4	15.1 MB
video4_3.mp4	24.6 MB
video4_4.mp4	70.8 MB
video4_5.mp4	30.4 MB
video5_1.mp4	12.0 MB
video5_2.mp4	7.5 MB
video5_3.mp4	10.6 MB
video5_4.mp4	41.9 MB
video5_5.mp4	15.9 MB
video6_1.mp4	16.7 MB
video6_2.mp4	35.3 MB
video6_3.mp4	14.2 MB
video6_4.mp4	23.6 MB
video6_5.mp4	31.3 MB
video6_6.mp4	24.9 MB
/Supplement/
1.5.tensors.ipynb	8.0 KB
1.5.variables.ipynb	2.1 KB
1.6.tensors.and.numpy.ipynb	2.2 KB
1.7.tensors.gpu.ipynb	3.5 KB
1.8.popular.datasets.ipynb	17.2 KB
2.training.your.first.neural.network.ipynb	9.8 KB
3.cnn.for.digits.classification.ipynb	205.5 KB
4.rnn.text.generation.ipynb	21.1 KB
5.autoencoder.denoising.images.ipynb	745.3 KB
6.reinforcement.learning.balance.cartpole.ipynb	10.1 KB
Curated.Reading.List.md	0.0 KB
/Supplement/data/
iris.data.txt	4.6 KB
iris.jpg	9.3 KB
iris.py	0.8 KB
Thumbs.db	8.2 KB
__init__.py	0.0 KB
/Supplement/data/ohenry/
test.txt	1.6 MB
train.txt	3.8 MB
valid.txt	1.6 MB
/Supplement/data/shakespear/
train.txt	5.4 MB
valid.txt	326.7 KB
/Hands-On AI for Finance/
hands-onaiforfinance_video.docx	22.0 KB
video1_1.mp4	22.1 MB
video1_2.mp4	12.6 MB
video1_3.mp4	24.6 MB
video1_4.mp4	2.3 MB
video2_1.mp4	43.0 MB
video2_2.mp4	40.3 MB
video2_3.mp4	83.7 MB
video2_4.mp4	6.8 MB
video3_1.mp4	39.6 MB
video3_2.mp4	30.3 MB
video3_3.mp4	5.1 MB
video4_1.mp4	39.9 MB
video4_2.mp4	29.8 MB
video4_3.mp4	5.1 MB
video5_1.mp4	50.5 MB
video5_2.mp4	27.8 MB
video5_3.mp4	42.5 MB
video5_4.mp4	5.9 MB
/Supplement/Section 2/source/
baseline.py	1.1 KB
conf.py	0.8 KB
plot.py	3.7 KB
predict.py	1.6 KB
prep.py	2.8 KB
tools.py	0.9 KB
train.py	4.6 KB
/Supplement/Section 2/source/data/
ec.csv	287.7 KB
/Supplement/Section 2/source/models/
model-default-1-1-history.pickle	0.3 KB
model-default-1-1.h5	23.5 KB
model-default-10-32-history.pickle	0.8 KB
model-default-10-32.h5	23.5 KB
model-default-10-8-history.pickle	0.8 KB
model-default-10-8.h5	23.5 KB
model-default-100-128-history.pickle	8.8 KB
model-default-100-128.h5	23.5 KB
model-default-12-32-history.pickle	1.0 KB
model-default-12-32.h5	23.5 KB
model-default-13-32-history.pickle	1.0 KB
model-default-13-32.h5	23.5 KB
model-default-15-32-history.pickle	1.2 KB
model-default-15-32.h5	23.5 KB
model-default-19-32-history.pickle	1.4 KB
model-default-19-32.h5	23.5 KB
model-default-20-32-history.pickle	1.5 KB
model-default-20-32.h5	23.5 KB
model-default-30-32-history.pickle	2.3 KB
model-default-30-32.h5	23.5 KB
model-default-40-32-history.pickle	3.2 KB
model-default-40-32.h5	23.5 KB
model-default-46-32-history.pickle	3.7 KB
model-default-46-32.h5	23.5 KB
model-default-5-16-history.pickle	0.5 KB
model-default-5-16.h5	23.5 KB
model-default-50-32-history.pickle	4.1 KB
model-default-50-32.h5	23.5 KB
model-default-70-128-history.pickle	6.0 KB
model-default-70-128.h5	23.5 KB
/Supplement/Section 2/source/__pycache__/
baseline.cpython-36.pyc	1.9 KB
conf.cpython-36.pyc	0.8 KB
plot.cpython-36.pyc	3.8 KB
prep.cpython-36.pyc	3.0 KB
tools.cpython-36.pyc	1.1 KB
train.cpython-36.pyc	2.7 KB
/Supplement/Section 3/source/data/
loan_approvals.csv	38.0 KB
/Supplement/Section 3/source/
predict.py	0.9 KB
prep.py	1.7 KB
train.py	0.8 KB
/Supplement/Section 3/source/__pycache__/
prep.cpython-36.pyc	1.5 KB
train.cpython-36.pyc	1.0 KB
/Supplement/Section 4/source/data/
transactions.csv	493.5 MB
urls.txt	0.1 KB
/Supplement/Section 4/source/
prep.py	1.6 KB
train_test.py	1.6 KB
/Supplement/Section 4/source/__pycache__/
prep.cpython-36.pyc	1.2 KB
/Supplement/Section 5/source/
conf.py	0.8 KB
predict.py	1.7 KB
prep.py	4.6 KB
train.py	4.1 KB
/Supplement/Section 5/source/data/
stock_prices.csv	182.1 KB
/Supplement/Section 5/source/data/training_charts/
run-17_4_LSTM_60_mape.png	25.6 KB
run-17_4_LSTM_60_rmse.png	23.5 KB
run-6_4_LSTM_60_mape.png	23.8 KB
run-6_4_LSTM_60_rmse.png	20.5 KB
/Supplement/Section 5/source/data/training_logs/
run-10_1_LSTM_1.txt	2.1 KB
run-17_4.txt	4.0 KB
run-17_4_LSTM_10.txt	3.1 KB
run-3_1_LSTM_64.txt	0.9 KB
run-40_2_LSTM_2.txt	8.9 KB
run-4_1_LSTM_48.txt	1.2 KB
run-50_2_LSTM_32.txt	11.0 KB
run-50_2_LSTM_64.txt	1.9 KB
run-70_2_LSTM_3.txt	15.4 KB
/Supplement/Section 5/source/models/
model-default-1-1.h5	215.5 KB
model-default-10-1.h5	82.1 KB
model-default-10-10.h5	212.6 KB
model-default-10-2.h5	25.0 KB
model-default-10-32.h5	150.2 KB
model-default-10-4.h5	75.7 KB
model-default-10-64.h5	150.2 KB
model-default-100-1.h5	215.5 KB
model-default-100-10.h5	150.2 KB
model-default-100-128.h5	150.2 KB
model-default-100-2.h5	215.5 KB
model-default-100-32.h5	150.2 KB
model-default-100-64.h5	150.2 KB
model-default-1000-10.h5	150.2 KB
model-default-1000-64.h5	150.2 KB
model-default-105-1.h5	215.5 KB
model-default-111-1.h5	215.5 KB
model-default-120-1.h5	215.5 KB
model-default-13-2.h5	31.8 KB
model-default-1419-10.h5	203.0 KB
model-default-1500-10.h5	212.6 KB
model-default-160-2.h5	215.5 KB
model-default-17-4.h5	215.5 KB
model-default-2-10.h5	212.6 KB
model-default-20-10.h5	212.6 KB
model-default-20-2.h5	25.0 KB
model-default-20-4.h5	75.7 KB
model-default-200-1.h5	215.5 KB
model-default-200-10.h5	212.6 KB
model-default-200-2.h5	215.5 KB
model-default-2000-10.h5	212.6 KB
model-default-205-1.h5	212.6 KB
model-default-25-10.h5	212.6 KB
model-default-3-1.h5	149.5 KB
model-default-3-10.h5	203.0 KB
model-default-30-2.h5	25.0 KB
model-default-30-4.h5	215.5 KB
model-default-4-1.h5	149.5 KB
model-default-40-2.h5	25.0 KB
model-default-5-1.h5	82.1 KB
model-default-5-10.h5	212.6 KB
model-default-50-10.h5	150.2 KB
model-default-50-2.h5	82.1 KB
model-default-500-10.h5	150.2 KB
model-default-500-64.h5	150.2 KB
model-default-5000-64.h5	150.2 KB
model-default-6-4.h5	215.5 KB
model-default-70-2.h5	25.0 KB
model-default-80-1.h5	215.5 KB
model-default-8000-64.h5	150.2 KB
model-default-85-1.h5	215.5 KB
model-default-900-10.h5	203.0 KB
model-default-95-1.h5	215.5 KB
/Supplement/Section 5/source/__pycache__/
conf.cpython-36.pyc	0.8 KB
prep.cpython-36.pyc	4.2 KB
train.cpython-36.pyc	3.6 KB
/Hands-On Python Deep Learning/
hands-onpythondeeplearning_video.docx	25.4 KB
video1_1.mp4	4.8 MB
video1_2.mp4	46.3 MB
video1_3.mp4	31.6 MB
video1_4.mp4	33.8 MB
video2_1.mp4	7.0 MB
video2_2.mp4	45.3 MB
video2_3.mp4	30.5 MB
video2_4.mp4	28.7 MB
video3_1.mp4	3.0 MB
video3_2.mp4	22.7 MB
video3_3.mp4	35.2 MB
video3_4.mp4	27.7 MB
video3_5.mp4	31.6 MB
video4_1.mp4	4.2 MB
video4_2.mp4	6.1 MB
video4_3.mp4	47.2 MB
video5_1.mp4	3.9 MB
video5_2.mp4	7.3 MB
video5_3.mp4	15.6 MB
video5_4.mp4	29.4 MB
video6_1.mp4	4.5 MB
video6_2.mp4	3.1 MB
video6_3.mp4	15.7 MB
video6_4.mp4	13.7 MB
video7_1.mp4	2.7 MB
video7_2.mp4	5.8 MB
video7_3.mp4	16.9 MB
video7_4.mp4	10.9 MB
video8_1.mp4	3.9 MB
video8_2.mp4	13.0 MB
video8_3.mp4	21.3 MB
/Supplement/Section 1/
building_evaluating_neural_network.ipynb	48.4 KB
Churn_Modelling.csv	684.9 KB
/Supplement/Section 2/
Feature exploration.ipynb	120.8 KB
NoShowAppointments.csv	10.7 MB
/Supplement/Section 3/
create_csv.py	1.2 KB
Face_Recog.py	1.6 KB
haarcascade_face.xml	963.4 KB
Radhika.jpg	13.0 KB
screenshot.png	150.2 KB
test.jpg	67.6 KB
train_faces.csv	0.8 KB
_gitignore.txt	2.2 KB
/Supplement/Section 4/
face_datasets.py	1.7 KB
face_recognition.py	2.0 KB
haarcascade_frontalface_default.xml	963.4 KB
training.py	1.9 KB
_gitignore	0.0 KB
/.../kaggle_dogs_vs_cats/
cat.3.jpg	38.0 KB
cat.4.jpg	20.6 KB
cat.5.jpg	5.4 KB
/Supplement/Section 5/output/
simple_neural_network.hdf5	21.3 MB
/Supplement/Section 5/
simple_neural_network.py	3.4 KB
test_network.py	2.0 KB
/Supplement/Section 5/test_images/
1.jpg	24.2 KB
10.jpg	22.2 KB
11.jpg	14.5 KB
12.jpg	31.2 KB
13.jpg	27.6 KB
14.jpg	16.4 KB
15.jpg	32.7 KB
16.jpg	16.9 KB
17.jpg	15.1 KB
18.jpg	34.7 KB
19.jpg	16.4 KB
2.jpg	17.5 KB
20.jpg	12.4 KB
21.jpg	26.7 KB
22.jpg	14.6 KB
23.jpg	16.1 KB
24.jpg	20.1 KB
25.jpg	23.3 KB
26.jpg	16.2 KB
27.jpg	18.7 KB
28.jpg	30.2 KB
29.jpg	37.8 KB
3.jpg	10.4 KB
30.jpg	24.5 KB
31.jpg	14.6 KB
32.jpg	17.8 KB
33.jpg	52.9 KB
34.jpg	19.5 KB
35.jpg	7.1 KB
36.jpg	11.3 KB
37.jpg	33.4 KB
38.jpg	3.7 KB
39.jpg	26.9 KB
4.jpg	34.6 KB
40.jpg	15.9 KB
41.jpg	26.9 KB
42.jpg	36.3 KB
43.jpg	33.7 KB
44.jpg	7.4 KB
45.jpg	21.2 KB
46.jpg	1.3 KB
47.jpg	17.7 KB
48.jpg	21.5 KB
49.jpg	20.5 KB
5.jpg	19.2 KB
50.jpg	13.3 KB
6.jpg	28.0 KB
7.jpg	8.0 KB
8.jpg	11.6 KB
9.jpg	23.0 KB
/Supplement/Section 6/
Appointments.csv	1.9 KB
Keras-lstm.py	3.1 KB
/Supplement/Section 7/
glove.42B.300d.zipl_olro4f.tmp	5.3 MB
model.py	7.0 KB
prep_data.py	1.0 KB
requirements.txt	0.0 KB
sample_data.zip	765.7 KB
test.py	1.8 KB
train.py	4.5 KB
utils.py	4.1 KB
/Supplement/Section 8/
encode-decode.py	2.2 KB
/Supplement/summary.tar/
summary.tar	322.0 MB
/.../Project 1 - Vectors, Matrices, and Tensors in Python/
Unit 1 - Linear Algebra Quiz.pdf	69.0 KB
/.../Section 2 Linear Algebra/
Thumbs.db	47.6 KB
/.../Section 3 Multivariate Calculus/
Project 1 - Gradient Visualization (HTML Notebook).html	477.2 KB
Project 1 - Gradient Visualization (Jupyter Notebook).ipynb	220.9 KB
Thumbs.db	38.9 KB
Unit 2 Quiz Solutions.pdf	90.2 KB
Unit 2 Quiz.pdf	77.9 KB
/.../Section 4 Probability Theory/
Project 1 - Graphing Probability Distributions.R	1.1 KB
Project 2 - Covariance Matrices.R	0.8 KB
Thumbs.db	36.9 KB
/.../Special Random Variables/
Thumbs.db	22.5 KB
Unit 3 Quiz.pdf	61.5 KB
Unit 3 Solutions.pdf	82.0 KB
/.../Section 5 Probaility Theory/
Thumbs.db	9.2 KB
/Supplement/
02 hello world.py	0.1 KB
02-01-Hello World.ipynb	3.0 KB
02-02-Iris Project.ipynb	624.6 KB
03-01-Boston Housing Price Prediction.ipynb	2.1 MB
03-02-Multiple Regression.ipynb	180.6 KB
03-03-Gradient Descent.ipynb	86.1 KB
03-04-Regularized Regression.ipynb	157.6 KB
03-05-Polynomial Regression.ipynb	239.9 KB
03-06-Nonlinear Relationships.ipynb	145.4 KB
03-07-Data Pre-processing.ipynb	108.4 KB
03-08-Variance-Bias Tradeoff.ipynb	303.1 KB
03-09-Cross Validation.ipynb	15.5 KB
04-01-Logistic Regression.ipynb	39.2 KB
04-02-MNIST.ipynb	228.2 KB
05-Support Vector Machine.ipynb	361.4 KB
06-01-Tree.ipynb	220.7 KB
06-02-Project HR.ipynb	145.3 KB
07-01-Ensemble Methods 1 - Ensemble Learning Methods Introduction.ipynb	5.6 KB
07-02-Ensemble Methods 2 - Bagging Machine Learning Algorithm.ipynb	37.8 KB
07-03-Ensemble Methods 3 - Random Forest and Extra-Trees.ipynb	46.4 KB
07-04-Ensemble Methods 4 - AdaBoost & Gradient Boosting Machine.ipynb	42.6 KB
07-05-XGBoost Installation Instruction.ipynb	3.2 KB
07-06-XGBoost.ipynb	10.6 KB
07-07-Project HR Complete.ipynb	252.0 KB
07-08-Ensemble of Ensembles 1.ipynb	21.6 KB
07-09-Ensemble of Ensembles 2.ipynb	39.6 KB
08-01-k-Nearest Neighbor (KNN).ipynb	44.3 KB
08-02-Project Cancer Detection.ipynb	59.1 KB
09-01-Dimensionality Reduction.ipynb	6.5 KB
09-02-Principal Component Analysis (PCA).ipynb	112.1 KB
09-03-Project Wine.ipynb	41.6 KB
09-04-Kernel PCA.ipynb	155.0 KB
09-05-Linear Discriminant Analysis (LDA).ipynb	108.0 KB
09-06-Project Abalone.ipynb	29.3 KB
10-Clustering.ipynb	635.4 KB
README.md	8.2 KB
requirements.txt	3.9 KB
/Supplement/data/
abalone.data	191.9 KB
breast-cancer-wisconsin.data.csv	19.9 KB
housing.data	49.1 KB
iris.data	4.6 KB
Online Retail.xlsx	23.7 MB
WA_Fn-UseC_-HR-Employee-Attrition.csv	226.5 KB
wine.csv	11.3 KB
wine.data	10.8 KB
wine.names	3.0 KB
/Supplement/img/
Bias.PNG	92.0 KB
confusion_matrix.jpg	52.7 KB
cross_validation.PNG	13.4 KB
Good.PNG	93.0 KB
holdout_method.PNG	16.7 KB
holdout_method_w_validation.PNG	26.3 KB
irises.png	233.2 KB
iris_petal_length_and_width.png	49.4 KB
Polynomial.png	23.8 KB
precision-recall.png	49.2 KB
precision.jpg	73.2 KB
pr_or_roc.png	165.4 KB
recall.jpg	75.4 KB
SVM 1.png	14.8 KB
SVM 2.png	17.6 KB
SVM 3.png	20.9 KB
SVM 4.png	39.5 KB
tnr_and_fpr.png	195.6 KB
Variance.PNG	95.2 KB
/Supplement/Notes/
Confusion Matrix, Calculation of Precision, Recall and F1.xlsx	10.2 KB
housing.txt	2.1 KB
Machine Learning Project Checklist.pdf	123.5 KB
Machine Learning Project Checklist.pptx	145.9 KB
Setting up environment.txt	0.2 KB
/The Complete Machine Learning Course with Python/
thecompletemachinelearningcoursewithpython_video.docx	25.2 KB
video10_1.mp4	6.2 MB
video10_2.mp4	28.8 MB
video10_3.mp4	35.3 MB
video10_4.mp4	67.8 MB
video10_5.mp4	86.1 MB
video10_6.mp4	55.9 MB
video10_7.mp4	24.7 MB
video10_8.mp4	25.5 MB
video10_9.mp4	39.5 MB
video1_1.mp4	16.9 MB
video2_1.mp4	82.9 MB
video2_2.mp4	24.9 MB
video2_3.mp4	72.5 MB
video2_4.mp4	11.7 MB
video2_5.mp4	58.1 MB
video2_6.mp4	61.9 MB
video3_1.mp4	17.4 MB
video3_10.mp4	58.3 MB
video3_11.mp4	76.1 MB
video3_12.mp4	82.2 MB
video3_13.mp4	62.0 MB
video3_14.mp4	43.2 MB
video3_15.mp4	31.2 MB
video3_16.mp4	56.4 MB
video3_17.mp4	96.0 MB
video3_18.mp4	85.7 MB
video3_19.mp4	61.8 MB
video3_2.mp4	46.9 MB
video3_20.mp4	75.8 MB
video3_3.mp4	83.1 MB
video3_4.mp4	82.4 MB
video3_5.mp4	36.0 MB
video3_6.mp4	55.4 MB
video3_7.mp4	59.2 MB
video3_8.mp4	79.6 MB
video3_9.mp4	78.9 MB
video4_1.mp4	17.8 MB
video4_2.mp4	52.5 MB
video4_3.mp4	67.2 MB
video4_4.mp4	56.0 MB
video4_5.mp4	42.8 MB
video4_6.mp4	56.0 MB
video4_7.mp4	76.7 MB
video4_8.mp4	68.5 MB
video4_9.mp4	38.5 MB
video5_1.mp4	10.2 MB
video5_2.mp4	85.5 MB
video5_3.mp4	45.8 MB
video5_4.mp4	63.2 MB
video5_5.mp4	51.3 MB
video5_6.mp4	29.1 MB
video5_7.mp4	20.7 MB
video6_1.mp4	4.6 MB
video6_10.mp4	13.4 MB
video6_2.mp4	30.8 MB
video6_3.mp4	14.0 MB
video6_4.mp4	41.1 MB
video6_5.mp4	29.6 MB
video6_6.mp4	24.1 MB
video6_7.mp4	40.5 MB
video6_8.mp4	10.0 MB
video6_9.mp4	42.4 MB
video7_1.mp4	4.3 MB
video7_10.mp4	63.5 MB
video7_11.mp4	42.2 MB
video7_12.mp4	34.0 MB
video7_2.mp4	25.1 MB
video7_3.mp4	44.8 MB
video7_4.mp4	29.2 MB
video7_5.mp4	33.2 MB
video7_6.mp4	16.5 MB
video7_7.mp4	31.7 MB
video7_8.mp4	35.0 MB
video7_9.mp4	41.6 MB
video8_1.mp4	3.4 MB
video8_2.mp4	12.8 MB
video8_3.mp4	16.6 MB
video8_4.mp4	11.4 MB
video8_5.mp4	39.8 MB
video8_6.mp4	35.6 MB
video9_1.mp4	2.8 MB
video9_2.mp4	22.9 MB
video9_3.mp4	33.2 MB
video9_4.mp4	11.8 MB
video9_5.mp4	35.9 MB
video9_6.mp4	14.5 MB
video9_7.mp4	29.7 MB
video9_8.mp4	12.4 MB
video9_9.mp4	13.5 MB
Total files 576