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文档列表

13 - Saving and Restoring Models/29 - Saving Restoring Models and Using Callbacks.mp4 226.6 MB
12 - R Complex ANN Architectures using Functional API/27 - Building Regression Model with Functional AP.mp4 137.5 MB
10 - R Building and training the Model/24 - BuildingCompiling and Training.mp4 137.0 MB
4 - Neural Networks Stacking cells to create network/17 - Back Propagation.mp4 128.1 MB
9 - R Dataset for classification problem/22 - Data Normalization and TestTrain Split.mp4 117.3 MB
15 - Addon 1 Data Preprocessing/42 - Bivariate Analysis and Variable Transformation.mp4 105.3 MB
10 - R Building and training the Model/25 - Evaluating and Predicting.mp4 104.1 MB
15 - Addon 1 Data Preprocessing/36 - EDD in R.mp4 101.7 MB
2 - Setting Up R Studio and R crash course/11 - Creating Barplots in R.mp4 101.4 MB
16 - Linear Regression Model/51 - Assessing Accuracy of predicted coefficients.mp4 96.6 MB
11 - The NeuralNets Package/26 - ANN with NeuralNets Package.mp4 88.5 MB
15 - Addon 1 Data Preprocessing/48 - Correlation Matrix in R.mp4 87.2 MB
2 - Setting Up R Studio and R crash course/7 - Packages in R.mp4 87.0 MB
12 - R Complex ANN Architectures using Functional API/28 - Complex Architectures using Functional API.mp4 83.5 MB
16 - Linear Regression Model/60 - TestTrain Split in R.mp4 79.3 MB
15 - Addon 1 Data Preprocessing/47 - Correlation Matrix and causeeffect relationship.mp4 75.1 MB
15 - Addon 1 Data Preprocessing/33 - The Data and the Data Dictionary.mp4 72.7 MB
16 - Linear Regression Model/57 - Multiple Linear Regression in R.mp4 65.4 MB
5 - Important concepts Common Interview questions/18 - Some Important Concepts.mp4 65.2 MB
14 - Hyperparameter Tuning/30 - Hyperparameter Tuning.mp4 63.5 MB
4 - Neural Networks Stacking cells to create network/16 - Gradient Descent.mp4 63.2 MB
2 - Setting Up R Studio and R crash course/10 - Inputting data part 3 Importing from CSV or Text files.mp4 63.0 MB
16 - Linear Regression Model/55 - The F statistic.mp4 58.7 MB
15 - Addon 1 Data Preprocessing/43 - Variable transformation in R.mp4 58.1 MB
6 - Standard Model Parameters/19 - Hyperparameters.mp4 47.5 MB
3 - Single Cells Perceptron and Sigmoid Neuron/13 - Perceptron.mp4 46.9 MB
15 - Addon 1 Data Preprocessing/46 - Dummy variable creation in R.mp4 46.1 MB
16 - Linear Regression Model/52 - Assessing Model Accuracy RSE and R squared.mp4 45.7 MB
16 - Linear Regression Model/50 - Basic equations and Ordinary Least Squared OLS method.mp4 45.5 MB
2 - Setting Up R Studio and R crash course/12 - Creating Histograms in R.mp4 44.1 MB
16 - Linear Regression Model/58 - TestTrain split.mp4 43.9 MB
16 - Linear Regression Model/53 - Simple Linear Regression in R.mp4 42.8 MB
2 - Setting Up R Studio and R crash course/8 - Inputting data part 1 Inbuilt datasets of R.mp4 42.7 MB
4 - Neural Networks Stacking cells to create network/15 - Basic Terminologies.mp4 42.4 MB
2 - Setting Up R Studio and R crash course/6 - Basics of R and R studio.mp4 40.7 MB
15 - Addon 1 Data Preprocessing/45 - Dummy variable creation Handling qualitative data.mp4 38.6 MB
2 - Setting Up R Studio and R crash course/5 - Installing R and R studio.mp4 37.4 MB
3 - Single Cells Perceptron and Sigmoid Neuron/14 - Activation Functions.mp4 36.3 MB
16 - Linear Regression Model/54 - Multiple Linear Regression.mp4 36.0 MB
15 - Addon 1 Data Preprocessing/38 - Outlier Treatment in R.mp4 32.2 MB
1 - Introduction/2 - Introduction to Neural Networks and Course flow.mp4 30.5 MB
15 - Addon 1 Data Preprocessing/40 - Missing Value imputation in R.mp4 27.3 MB
2 - Setting Up R Studio and R crash course/9 - Inputting data part 2 Manual data entry.mp4 26.7 MB
16 - Linear Regression Model/59 - Bias Variance tradeoff.mp4 26.3 MB
15 - Addon 1 Data Preprocessing/39 - Missing Value imputation.mp4 26.2 MB
15 - Addon 1 Data Preprocessing/37 - Outlier Treatment.mp4 25.7 MB
15 - Addon 1 Data Preprocessing/35 - Univariate Analysis and EDD.mp4 25.4 MB
8 - Tensorflow and Keras/21 - Installing Keras and Tensorflow.mp4 23.9 MB
16 - Linear Regression Model/56 - Interpreting result for categorical Variable.mp4 23.6 MB
1 - Introduction/1 - Welcome to the course.mp4 22.2 MB
1 - Introduction/4 - This is a milestone.mp4 21.6 MB
15 - Addon 1 Data Preprocessing/44 - Non Usable Variables.mp4 21.2 MB
15 - Addon 1 Data Preprocessing/32 - Data Exploration.mp4 21.1 MB
15 - Addon 1 Data Preprocessing/41 - Seasonality in Data.mp4 17.9 MB
8 - Tensorflow and Keras/20 - Keras and Tensorflow.mp4 15.6 MB
15 - Addon 1 Data Preprocessing/31 - Gathering Business Knowledge.mp4 15.2 MB
15 - Addon 1 Data Preprocessing/34 - Importing the dataset into R.mp4 13.7 MB
18 - Congratulations & about your certificate/61 - The final milestone.mp4 12.4 MB
16 - Linear Regression Model/49 - The problem statement.mp4 9.8 MB
4 - Neural Networks Stacking cells to create network/17 - Back Propagation English.vtt 22.8 kB
13 - Saving and Restoring Models/29 - Saving Restoring Models and Using Callbacks English.vtt 19.7 kB
16 - Linear Regression Model/51 - Assessing Accuracy of predicted coefficients English.vtt 18.4 kB
15 - Addon 1 Data Preprocessing/42 - Bivariate Analysis and Variable Transformation English.vtt 17.9 kB
2 - Setting Up R Studio and R crash course/11 - Creating Barplots in R English.vtt 16.8 kB
10 - R Building and training the Model/24 - BuildingCompiling and Training English.vtt 14.9 kB
2 - Setting Up R Studio and R crash course/7 - Packages in R English.vtt 13.4 kB
2 - Setting Up R Studio and R crash course/6 - Basics of R and R studio English.vtt 13.1 kB
5 - Important concepts Common Interview questions/18 - Some Important Concepts English.vtt 12.6 kB
12 - R Complex ANN Architectures using Functional API/27 - Building Regression Model with Functional AP English.vtt 12.5 kB
15 - Addon 1 Data Preprocessing/36 - EDD in R English.vtt 11.9 kB
16 - Linear Regression Model/58 - TestTrain split English.vtt 11.7 kB
9 - R Dataset for classification problem/22 - Data Normalization and TestTrain Split English.vtt 11.7 kB
4 - Neural Networks Stacking cells to create network/16 - Gradient Descent English.vtt 11.7 kB
16 - Linear Regression Model/50 - Basic equations and Ordinary Least Squared OLS method English.vtt 11.7 kB
15 - Addon 1 Data Preprocessing/47 - Correlation Matrix and causeeffect relationship English.vtt 11.3 kB
16 - Linear Regression Model/55 - The F statistic English.vtt 10.6 kB
4 - Neural Networks Stacking cells to create network/15 - Basic Terminologies English.vtt 10.0 kB
3 - Single Cells Perceptron and Sigmoid Neuron/13 - Perceptron English.vtt 9.5 kB
10 - R Building and training the Model/25 - Evaluating and Predicting English.vtt 9.3 kB
14 - Hyperparameter Tuning/30 - Hyperparameter Tuning English.vtt 9.1 kB
15 - Addon 1 Data Preprocessing/48 - Correlation Matrix in R English.vtt 8.9 kB
6 - Standard Model Parameters/19 - Hyperparameters English.vtt 8.7 kB
16 - Linear Regression Model/52 - Assessing Model Accuracy RSE and R squared English.vtt 8.4 kB
16 - Linear Regression Model/53 - Simple Linear Regression in R English.vtt 8.4 kB
16 - Linear Regression Model/57 - Multiple Linear Regression in R English.vtt 8.3 kB
16 - Linear Regression Model/60 - TestTrain Split in R English.vtt 8.3 kB
12 - R Complex ANN Architectures using Functional API/28 - Complex Architectures using Functional API English.vtt 8.1 kB
15 - Addon 1 Data Preprocessing/43 - Variable transformation in R English.vtt 7.9 kB
11 - The NeuralNets Package/26 - ANN with NeuralNets Package English.vtt 7.7 kB
2 - Setting Up R Studio and R crash course/10 - Inputting data part 3 Importing from CSV or Text files English.vtt 7.7 kB
16 - Linear Regression Model/59 - Bias Variance tradeoff English.vtt 7.6 kB
3 - Single Cells Perceptron and Sigmoid Neuron/14 - Activation Functions English.vtt 7.6 kB
15 - Addon 1 Data Preprocessing/33 - The Data and the Data Dictionary English.vtt 7.6 kB
2 - Setting Up R Studio and R crash course/12 - Creating Histograms in R English.vtt 7.0 kB
16 - Linear Regression Model/54 - Multiple Linear Regression English.vtt 6.8 kB
2 - Setting Up R Studio and R crash course/5 - Installing R and R studio English.vtt 6.8 kB
16 - Linear Regression Model/56 - Interpreting result for categorical Variable English.vtt 5.9 kB
15 - Addon 1 Data Preprocessing/44 - Non Usable Variables English.vtt 5.5 kB
15 - Addon 1 Data Preprocessing/46 - Dummy variable creation in R English.vtt 5.4 kB
2 - Setting Up R Studio and R crash course/8 - Inputting data part 1 Inbuilt datasets of R English.vtt 5.2 kB
15 - Addon 1 Data Preprocessing/45 - Dummy variable creation Handling qualitative data English.vtt 4.9 kB
15 - Addon 1 Data Preprocessing/37 - Outlier Treatment English.vtt 4.5 kB
1 - Introduction/2 - Introduction to Neural Networks and Course flow English.vtt 4.5 kB
15 - Addon 1 Data Preprocessing/38 - Outlier Treatment in R English.vtt 4.3 kB
15 - Addon 1 Data Preprocessing/39 - Missing Value imputation English.vtt 3.8 kB
15 - Addon 1 Data Preprocessing/41 - Seasonality in Data English.vtt 3.6 kB
15 - Addon 1 Data Preprocessing/31 - Gathering Business Knowledge English.vtt 3.6 kB
15 - Addon 1 Data Preprocessing/40 - Missing Value imputation in R English.vtt 3.6 kB
1 - Introduction/4 - This is a milestone English.vtt 3.5 kB
8 - Tensorflow and Keras/20 - Keras and Tensorflow English.vtt 3.5 kB
15 - Addon 1 Data Preprocessing/32 - Data Exploration English.vtt 3.4 kB
2 - Setting Up R Studio and R crash course/9 - Inputting data part 2 Manual data entry English.vtt 3.4 kB
15 - Addon 1 Data Preprocessing/35 - Univariate Analysis and EDD English.vtt 3.3 kB
1 - Introduction/1 - Welcome to the course English.vtt 3.0 kB
8 - Tensorflow and Keras/21 - Installing Keras and Tensorflow English.vtt 2.7 kB
15 - Addon 1 Data Preprocessing/34 - Importing the dataset into R English.vtt 2.5 kB
18 - Congratulations & about your certificate/62 - Bonus lecture.html 2.4 kB
16 - Linear Regression Model/49 - The problem statement English.vtt 1.8 kB
18 - Congratulations & about your certificate/61 - The final milestone English.vtt 1.6 kB
9 - R Dataset for classification problem/23 - More about testtrain split.html 559 Bytes
1 - Introduction/3 - Course Resources.html 345 Bytes
0. Websites you may like/[FreeCourseSite.com].url 127 Bytes
0. Websites you may like/[CourseClub.Me].url 122 Bytes
0. Websites you may like/[GigaCourse.Com].url 49 Bytes
5 - Important concepts Common Interview questions/1 - Quiz.html 0 Bytes
6 - Standard Model Parameters/2 - Quiz.html 0 Bytes
7 - Practice Test/1 - Test your conceptual understanding.html 0 Bytes

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