Udemy - Neural Networks in Python: Deep Learning for Beginners [FCS]

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Udemy - Neural Networks in Python: Deep Learning for Beginners [FCS] (Size: 3 GB)

	1. Basic Terminologies.mp4	40.4 MB
	1. Basic Terminologies.srt	9.5 KB
	1. Building Neural Network for Regression Problem.mp4	155.9 MB
	1. Building Neural Network for Regression Problem.srt	21.7 KB
	1. Dataset for classification.mp4	56.1 MB
	1. Dataset for classification.srt	7.2 KB
	1. Different ways to create ANN using Keras.mp4	10.8 MB
	1. Different ways to create ANN using Keras.srt	1.9 KB
	1. Gathering Business Knowledge.mp4	22.3 MB
	1. Gathering Business Knowledge.srt	3.9 KB
	1. Hyperparameter Tuning.mp4	60.6 MB
	1. Hyperparameter Tuning.srt	9.4 KB
	1. Hyperparameters.mp4	45.3 MB
	1. Hyperparameters.srt	8.9 KB
	1. Installing Python and Anaconda.mp4	16.3 MB
	1. Installing Python and Anaconda.srt	2.6 KB
	1. Keras and Tensorflow.mp4	14.9 MB
	1. Keras and Tensorflow.srt	3.6 KB
	1. Neural Networks Classification Assignment.html	204.8 B
	1. Perceptron.mp4	44.8 MB
	1. Perceptron.srt	9.7 KB
	1. Saving - Restoring Models and Using Callbacks.mp4	151.6 MB
	1. Saving - Restoring Models and Using Callbacks.srt	18.8 KB
	1. Some Important Concepts.mp4	62.2 MB
	1. Some Important Concepts.srt	13.1 KB
	1. Test your conceptual understanding.html	204.8 B
	1. The Problem Statement.mp4	9.4 MB
	1. The Problem Statement.srt	1.6 KB
	1. The final milestone!.mp4	11.8 MB
	1. The final milestone!.srt	1.7 KB
	1. Using Functional API for complex architectures.mp4	92.1 MB
	1. Using Functional API for complex architectures.srt	11.5 KB
	1. Welcome to the course.mp4	21.4 MB
	1. Welcome to the course.srt	3.1 KB
	10. Missing Value Imputation.mp4	25 MB
	10. Missing Value Imputation.srt	4.1 KB
	10. Test-train split.mp4	41.9 MB
	10. Test-train split.srt	10.1 KB
	11. Bias Variance trade-off.mp4	25.1 MB
	11. Bias Variance trade-off.srt	6.4 KB
	11. Missing Value Imputation in Python.mp4	23.4 MB
	11. Missing Value Imputation in Python.srt	4.1 KB
	12. Seasonality in Data.mp4	17 MB
	12. Seasonality in Data.srt	3.8 KB
	12. Test train split in Python.mp4	44.9 MB
	12. Test train split in Python.srt	8.1 KB
	13. Bi-variate analysis and Variable transformation.mp4	100.4 MB
	13. Bi-variate analysis and Variable transformation.srt	18.3 KB
	14. Variable transformation and deletion in Python.mp4	44.1 MB
	14. Variable transformation and deletion in Python.srt	7.5 KB
	15. Non-usable variables.mp4	20.2 MB
	15. Non-usable variables.srt	5.4 KB
	16. Dummy variable creation Handling qualitative data.mp4	36.8 MB
	16. Dummy variable creation Handling qualitative data.srt	4.9 KB
	17. Dummy variable creation in Python.mp4	26.5 MB
	17. Dummy variable creation in Python.srt	5.5 KB
	18. Correlation Analysis.mp4	71.6 MB
	18. Correlation Analysis.srt	11 KB
	19. Correlation Analysis in Python.mp4	55.3 MB
	19. Correlation Analysis in Python.srt	6.6 KB
	2. Activation Functions.mp4	34.6 MB
	2. Activation Functions.srt	7.9 KB
	2. Basic Equations and Ordinary Least Squares (OLS) method.mp4	43.4 MB
	2. Basic Equations and Ordinary Least Squares (OLS) method.srt	9.9 KB
	2. Building the Neural Network using Keras.mp4	79.1 MB
	2. Building the Neural Network using Keras.srt	12 KB
	2. Congratulations & About your certificate.html	1.6 KB
	2. Data Exploration.mp4	20.5 MB
	2. Data Exploration.srt	3.6 KB
	2. Gradient Descent.mp4	60.3 MB
	2. Gradient Descent.srt	11.9 KB
	2. Installing Tensorflow and Keras.mp4	20.1 MB
	2. Installing Tensorflow and Keras.srt	3.8 KB
	2. Introduction to Neural Networks and Course flow.mp4	29.1 MB
	2. Introduction to Neural Networks and Course flow.srt	4.6 KB
	2. Normalization and Test-Train split.mp4	44.2 MB
	2. Normalization and Test-Train split.srt	5.7 KB
	2. Opening Jupyter Notebook.mp4	65.2 MB
	2. Opening Jupyter Notebook.srt	9.1 KB
	2. Quiz.html	204.8 B
	3. Assessing accuracy of predicted coefficients.mp4	92.1 MB
	3. Assessing accuracy of predicted coefficients.srt	15.9 KB
	3. Back Propagation.mp4	122.2 MB
	3. Back Propagation.srt	22.8 KB
	3. Compiling and Training the Neural Network model.mp4	81.7 MB
	3. Compiling and Training the Neural Network model.srt	9.6 KB
	3. Course Resources.html	307.2 B
	3. Introduction to Jupyter.mp4	40.9 MB
	3. Introduction to Jupyter.srt	12.3 KB
	3. More about test-train split.html	512 B
	3. Python - Creating Perceptron model.mp4	86.6 MB
	3. Python - Creating Perceptron model.srt	14.5 KB
	3. The Dataset and the Data Dictionary.mp4	69.4 MB
	3. The Dataset and the Data Dictionary.srt	7.8 KB
	4. Add-on Resources.html	102.4 B
	4. Arithmetic operators in Python Python Basics.mp4	12.7 MB
	4. Arithmetic operators in Python Python Basics.srt	4 KB
	4. Assessing Model Accuracy RSE and R squared.mp4	43.6 MB
	4. Assessing Model Accuracy RSE and R squared.srt	8 KB
	4. Evaluating performance and Predicting using Keras.mp4	69.9 MB
	4. Evaluating performance and Predicting using Keras.srt	9 KB
	4. This is a milestone!.mp4	20.7 MB
	4. This is a milestone!.srt	3.8 KB
	4.1 Files_linear_py.zip	8.9 MB
	5. Importing Data in Python.mp4	27.8 MB
	5. Importing Data in Python.srt	5.6 KB
	5. Simple Linear Regression in Python.mp4	63.4 MB
	5. Simple Linear Regression in Python.srt	11.4 KB
	5. Strings in Python Python Basics.mp4	64.4 MB
	5. Strings in Python Python Basics.srt	16.4 KB
	6. Lists, Tuples and Directories Python Basics.mp4	60.3 MB
	6. Lists, Tuples and Directories Python Basics.srt	17 KB
	6. Multiple Linear Regression.mp4	34.3 MB
	6. Multiple Linear Regression.srt	5.7 KB
	6. Univariate analysis and EDD.mp4	24.2 MB
	6. Univariate analysis and EDD.srt	3.4 KB
	7. EDD in Python.mp4	61.8 MB
	7. EDD in Python.srt	10.4 KB
	7. The F - statistic.mp4	56 MB
	7. The F - statistic.srt	9 KB
	7. Working with Numpy Library of Python.mp4	43.9 MB
	7. Working with Numpy Library of Python.srt	10.5 KB
	8. Interpreting results of Categorical variables.mp4	22.5 MB
	8. Interpreting results of Categorical variables.srt	5.3 KB
	8. Outlier Treatment.mp4	24.5 MB
	8. Outlier Treatment.srt	4.5 KB
	8. Working with Pandas Library of Python.mp4	46.9 MB
	8. Working with Pandas Library of Python.srt	8.2 KB
	9. Multiple Linear Regression in Python.mp4	69.7 MB
	9. Multiple Linear Regression in Python.srt	12.3 KB
	9. Outlier Treatment in Python.mp4	70.2 MB
	9. Outlier Treatment in Python.srt	13 KB
	9. Working with Seaborn Library of Python.mp4	40.4 MB
	9. Working with Seaborn Library of Python.srt	7.5 KB
	[CourseClub.ME].url	102.4 B
	[FCS Forum].url	102.4 B
	[FreeCourseSite.com].url	102.4 B
	[GigaCourse.Com].url	0 B
▲ 139 total files

Description

Udemy - Neural Networks in Python: Deep Learning for Beginners [FCS]

Learn Artificial Neural Networks (ANN) in Python. Build predictive deep learning models using Keras & Tensorflow| Python

Created by Start-Tech Academy
Last updated 11/2021
English
English [Auto]

For more Udemy Courses: https://freecoursesite.com
Our Forum for Discussion: https://forum.freecoursesite.com

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Udemy - Neural Networks in Python: Deep Learning for Beginners [FCS]

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