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Ann Codee (born Anna Marie Vannuefflin, 5 March 1890 – 18 May 1961) was a Belgian actress with numerous hit films on her résumé, such as Can-Can, Kiss Me Kate, and Interrupted Melody. [citation needed] Born in Antwerp, Belgium, her name was sometimes found in newspapers as Anna Cody.
Ann Codee was born on 5 March 1890 in Antwerp, Antwerp, Belgium. She was an actress, known for Kiss Me Kate (1953), So Dark the Night (1946) and Can-Can (1960). She was married to Frank Orth. She died on 18 May 1961 in Hollywood, Los Angeles, California, USA.
- January 1, 1
- Antwerp, Antwerp, Belgium
- January 1, 1
- Hollywood, Los Angeles, California, USA
- Pre-Requisites For Artificial Neural Network Implementation
- Understanding The Problem Statement For Artificial Neural Network
- Importing Dataset
- Generating Matrix of Features
- Generating Dependent Variable Vector
- Encoding Categorical Variable Gender
- Encoding Categorical Variable Country
- Splitting Dataset Into Training and Testing Dataset
- Performing Feature Scaling
- Initializing Artificial Neural Network
Following will be the libraries and software that we will be needing in order to implement ANN. 1. Python – 3.6 or later 2. Jupyter Notebook ( Google Colab can also be used ) 3. Pandas 4. Numpy 5. Tensorflow 2. x 6. Scikit-Learn
Here we are dealing with a dataset from the finance domain. We have a dataset where we are having 14 dimensions in total and 100000 records. The dimensions that we will be dealing with are as follows:- 1. RowNumber:- Represents the number of rows 2. CustomerId:- Represents customerId 3. Surname:- Represents surname of the customer 4. CreditScore:- ...
In this step, we are going to import our dataset. Since our dataset is in csv format, we are going to use the read_csv() method of pandas in order to load the dataset.
The basic principle while creating a machine learning model is to generate X also called as Matrix of Features. This X basically contains all our independent variables. Let’s create the same here. Python Code: Here I have used iloc method of Pandas data frame which allows us to fetch the desired values from the desired column within the dataset. He...
In the same fashion where we have created our matrix of features(X) for the independent variable, we also have to create a dependent variable vector(Y) which will only contain our dependent variable values.
Now we have defined our X and Y, from this point on we are going to start with one of the highly time-consuming phases in any machine learning problem-solving. This phase is known as feature engineering. To define it in a simple manner, feature engineering is a phase where we either generate new variables from existing ones or modify existing varia...
Now let’s deal with another categorical column named country. This column has a cardinality of 3 meaning that it has 3 distinct categories present i.e France, Germany, Spain. Here we have 2 options:- 1. We can use Label Encoding here and directly convert those values into 0,1,2 like that 2. We can use One Hot Encoding here which will convert those ...
In this step, we are going to split our dataset into training and testing datasets. This is one of the bedrocks of the entire machine learning process. The training dataset is the one on which our model is going to train while the testing dataset is the one on which we are going to test the performance of our model. Here we have used the train_test...
The very last step in our feature engineering phase is feature scaling. It is a procedure where all the variables are converted into the same scale. Why you might ask?. Sometimes in our dataset, certain variables have very high values while certain variables have very low values. So there is a chance that during model creation, the variables having...
This is the very first step while creating ANN. Here we are going to create our ann object by using a certain class of Keras named Sequential. As a part of tensorflow 2.0, Keras is now integrated with tensorflow and is now considered as a sub-library of tensorflow. The Sequential class is a part of the models module of Keras library which is a part...
Ann Codee was born on March 5, 1890 in Antwerp, Antwerp, Belgium. She was an actress, known for Kiss Me Kate (1953), So Dark the Night (1946) and Can-Can (1960). She was married to Frank Orth. She died on May 18, 1961 in Hollywood, Los Angeles, California, USA.
- March 5, 1890
- May 18, 1961
Ann Codee was a Belgian actress with numerous hit films on her résumé, such as Can-Can, Kiss Me Kate, and Interrupted Melody. Born in Antwerp, Belgium, her name was sometimes found in newspapers as Anna Cody.
Belgian actress Ann Codee toured American vaudeville in the 'teens and twenties in a comedy act with her husband, American-born Frank Orth. The team made its film debut in 1929, appearing in a series of multilingual movie shorts.
Ann Codee is known as an Actor. Some of her work includes The War of the Worlds, An American in Paris, So Dark the Night, Lured, The Roaring Twenties, Detective Story, Hangover Square, and Kiss Me Kate.
