Udemy Python Programming Machine Learning Deep Learning 05 2021 | 22294BAD2EF788207498342DAB6E23AF13B39BE3

Udemy Python Programming Machine Learning Deep Learning 05 2021

Name	[Udemy] Python Programming Machine Learning, Deep Learning (05.2021)	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.0 GB
Total Files	118
Last Seen
Hash	22294BAD2EF788207498342DAB6E23AF13B39BE3

/1. Intro to Deep Learning with Python/
1. Introduction to Deep Learning with Python.mp4	15.2 MB
1. Intro to Deep Learning with Python/
1. Introduction to Deep Learning with Python.srt	5.8 KB
10. Transfer Learning/
1. What is Transfer Learning.mp4	89.5 MB
1. What is Transfer Learning.srt	19.2 KB
11. Projects/
1. Project - 1.mp4	106.5 MB
1. Project - 1.srt	20.5 KB
2. Project - 2.mp4	177.5 MB
2. Project - 2.srt	21.3 KB
3. Project - 3.mp4	86.3 MB
3. Project - 3.srt	15.3 KB
4. Project - 4.mp4	75.8 MB
4. Project - 4.srt	14.9 KB
2. Python Setup/
1. Installing Anaconda Distribution and Python.mp4	39.4 MB
1. Installing Anaconda Distribution and Python.srt	4.7 KB
2. Overview of Jupyter Notebook and Google Colab.mp4	26.6 MB
2. Overview of Jupyter Notebook and Google Colab.srt	5.8 KB
3. Fundamentals of Python/
1. Data Types in Python.mp4	43.1 MB
1. Data Types in Python.srt	13.8 KB
10. Exercise Solution.mp4	50.0 MB
10. Exercise Solution.srt	6.5 KB
2. Operators in Python.mp4	31.1 MB
2. Operators in Python.srt	10.9 KB
3. Conditionals.mp4	36.3 MB
3. Conditionals.srt	9.9 KB
4. Loops.mp4	51.5 MB
4. Loops.srt	12.2 KB
5. Lists, Tuples, Dictionaries and Sets.mp4	69.6 MB
5. Lists, Tuples, Dictionaries and Sets.srt	17.9 KB
6. Data Type Operators and Methods.mp4	42.4 MB
6. Data Type Operators and Methods.srt	9.1 KB
7. Modules in Python.mp4	22.1 MB
7. Modules in Python.srt	5.4 KB
8. Functions in Python.mp4	27.3 MB
8. Functions in Python.srt	9.1 KB
9. Exercise Analyse.mp4	6.0 MB
9. Exercise Analyse.srt	2.2 KB
4. Object Oriented Programming/
1. Logic of OOP.mp4	17.2 MB
1. Logic of OOP.srt	5.2 KB
2. Constructor.mp4	35.5 MB
2. Constructor.srt	7.0 KB
3. Methods.mp4	24.8 MB
3. Methods.srt	4.2 KB
4. Inheritance.mp4	34.2 MB
4. Inheritance.srt	6.8 KB
5. Overriding and Overloading.mp4	61.7 MB
5. Overriding and Overloading.srt	9.5 KB
5. Numpy Library/
1. What is Numpy.mp4	28.0 MB
1. What is Numpy.srt	7.5 KB
2. Why Numpy.mp4	14.3 MB
2. Why Numpy.srt	5.0 KB
3. Array and features.mp4	50.2 MB
3. Array and features.srt	11.7 KB
4. Array’s Operators.mp4	18.4 MB
4. Array’s Operators.srt	4.3 KB
5. Numpy Functions.mp4	82.3 MB
5. Numpy Functions.srt	19.5 KB
6. Indexing and Slicing.mp4	42.4 MB
6. Indexing and Slicing.srt	8.8 KB
7. Numpy Exercises.mp4	77.8 MB
7. Numpy Exercises.srt	15.0 KB
8. Using Numpy in Linear Algebra.mp4	117.6 MB
8. Using Numpy in Linear Algebra.srt	31.3 KB
9. NumExpr Guide.mp4	44.2 MB
9. NumExpr Guide.srt	7.9 KB
6. Machine Learning/
1. AI, Machine Learning and Deep Learning.mp4	17.0 MB
1. AI, Machine Learning and Deep Learning.srt	5.6 KB
10. Supervised Machine Learning Methods - 3.mp4	58.8 MB
10. Supervised Machine Learning Methods - 3.srt	16.2 KB
11. Supervised Machine Learning Methods - 4.mp4	73.7 MB
11. Supervised Machine Learning Methods - 4.srt	19.2 KB
12. Unsupervised Machine Learning Methods.mp4	92.2 MB
12. Unsupervised Machine Learning Methods.srt	27.2 KB
13. Gathering data.mp4	18.5 MB
13. Gathering data.srt	5.8 KB
14. Data pre-processing.mp4	27.2 MB
14. Data pre-processing.srt	6.4 KB
15. Choosing the right algorithm and model.mp4	155.7 MB
15. Choosing the right algorithm and model.srt	9.1 KB
16. Training and testing the model.mp4	88.1 MB
16. Training and testing the model.srt	6.4 KB
17. Evaluation.mp4	25.6 MB
17. Evaluation.srt	7.6 KB
2. History of Machine Learning.mp4	25.0 MB
2. History of Machine Learning.srt	7.9 KB
3. Turing Machine and Turing Test.mp4	42.9 MB
3. Turing Machine and Turing Test.srt	13.6 KB
4. What is Deep Learning.mp4	21.5 MB
4. What is Deep Learning.srt	7.3 KB
5. Learning representations from data.mp4	36.6 MB
5. Learning representations from data.srt	13.7 KB
6. Workflow of Machine Learning.mp4	33.2 MB
6. Workflow of Machine Learning.srt	11.0 KB
7. Machine Learning Methods.mp4	47.8 MB
7. Machine Learning Methods.srt	16.4 KB
8. Supervised Machine Learning Methods - 1.mp4	32.5 MB
8. Supervised Machine Learning Methods - 1.srt	10.6 KB
9. Supervised Machine Learning Methods - 2.mp4	58.1 MB
9. Supervised Machine Learning Methods - 2.srt	15.6 KB
7. Artificial Neural Network/
1. What is Artificial Neural Network (ANN).mp4	24.1 MB
1. What is Artificial Neural Network (ANN).srt	8.3 KB
2. Anatomy of Neural Network.mp4	44.4 MB
2. Anatomy of Neural Network.srt	10.6 KB
3. Creating a Simple ANN.mp4	83.3 MB
3. Creating a Simple ANN.srt	14.8 KB
4. Tensor Operations.mp4	65.1 MB
4. Tensor Operations.srt	11.2 KB
5. Tensor Operations 2.mp4	31.2 MB
5. Tensor Operations 2.srt	8.1 KB
6. Keras API.mp4	24.4 MB
6. Keras API.srt	8.2 KB
7. Optimizers.mp4	44.4 MB
7. Optimizers.srt	12.2 KB
8. What is TensorFlow.mp4	65.6 MB
8. What is TensorFlow.srt	20.5 KB
8. Convolutional Neural Network (CNN)/
1. What is CNN.mp4	75.9 MB
1. What is CNN.srt	17.6 KB
9. Recurrent Neural Network and LTSM/
1. Understanding RNN and LSTM Networks.mp4	53.3 MB
1. Understanding RNN and LSTM Networks.srt	14.9 KB
Total files 118