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gimseng merged 7 commits into from
Jul 14, 2020
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Include colab links in readme #27

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545ccb3
include colab link
gimseng Jul 14, 2020
fd96e0b
correct parentheses typo
gimseng Jul 14, 2020
e299308
restructure paragraphs
gimseng Jul 14, 2020
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gimseng Jul 14, 2020
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typo
gimseng Jul 14, 2020
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update path in colab link
gimseng Jul 14, 2020
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gimseng Jul 14, 2020
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13 changes: 11 additions & 2 deletions 001/solution/README.md
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Expand Up @@ -4,7 +4,11 @@ In this folder, you will find two approaches to modeling the Titanic survival pr

## Classical approach:

In `Titanic_Classical.ipynb`, you will find a detailed data wrangling approach to clean and prepare the data. Moreoever, classical machine learning classifiers from the list below are used:
`Titanic_Classical.ipynb`

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/gimseng/99-ML-Learning-Projects/blob/master/001/solution/Titanic_Classical.ipynb)

In this file, you will find a detailed data wrangling approach to clean and prepare the data. Moreoever, classical machine learning classifiers from the list below are used:

- Logistic Regression
- Support Vector Machines
Expand All @@ -17,4 +21,9 @@ In `Titanic_Classical.ipynb`, you will find a detailed data wrangling approach t

## Simple neural network:

In `Titanic_TF_NN.ipynb`, you will find a simple 5-layer neural network approach performing the survival classfication task. This is done using Tensorflow using Keras as frontend/API.
`Titanic_TF_NN.ipynb`

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/gimseng/99-ML-Learning-Projects/blob/master/001/solution/Titanic_TF_NN.ipynb)


In this file, you will find a simple 5-layer neural network approach performing the survival classfication task. This is done using Tensorflow using Keras as frontend/API.
2 changes: 1 addition & 1 deletion 001/solution/Titanic_Classical.ipynb
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Expand Up @@ -6,7 +6,7 @@
"source": [
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/aarpit1010/99-ML-Learning-Projects/blob/master/001_Titanic_Survival_prediction/solution/Titanic_Classical.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/gimseng/99-ML-Learning-Projects/blob/master/001/solution/Titanic_Classical.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
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2 changes: 1 addition & 1 deletion 001/solution/Titanic_TF_NN.ipynb
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Expand Up @@ -6,7 +6,7 @@
"source": [
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/aarpit1010/99-ML-Learning-Projects/blob/master/001_Titanic_Survival_prediction/solution/Titanic_TF_NN.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/gimseng/99-ML-Learning-Projects/blob/master/001/solution/Titanic_TF_NN.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
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