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11 | 11 | "cell_type": "markdown", |
12 | 12 | "metadata": {}, |
13 | 13 | "source": [ |
14 | | - "<p style=\"font-family:verdana; font-size:15px\">In the <a href=\"https://savan77.github.io/blog/machine-learning-part1.html\"> previous post</a>, I explained what is machine learning, types of machine learning, linear regression, logistic regression, various issues that we need to consider such as overfitting and at last I explained what really learning is in machine learning. In <a href=\"https://savan77.github.io/blog/lab-machine-learning-part1.html\">lab session</a>, I explained how to implement algorithms and concepts that I explained in theory session using Python.</p>\n", |
| 14 | + "<p style=\"font-family:verdana; font-size:15px\">In the <a href=\"https://savan77.github.io/blog/machine-learning-part1.html\"> previous post</a>, I explained what is machine learning, types of machine learning, linear regression, logistic regression, various issues that we need to consider such as overfitting and at last I explained what really learning is in machine learning. In <a href=\"https://savan77.github.io/blog/lab-machine-learning-part1.html\">lab session</a>, I explained how to implement algorithms and concepts that I explained in theory session using Python. Check out <a href=\"https://github.com/savan77/Practical-Machine-Learning-With-Python/\">Github repository</a> of this series.</p>\n", |
15 | 15 | "<p style=\"font-family:verdana; font-size:15px;\">\n", |
16 | 16 | "In this session, I will explain some easy yet powerful machine learning algorithms such as <b> naive bayes, support vector machine and decision trees</b>. From now onwards, I will not make seperate part for theory and lab session. Instead, I will integrate theory with code in jupyter notebook. If you are unfamiliar with Jupyter notebooks, please go through <a href=\"http://jupyter-notebook.readthedocs.io/en/latest/examples/Notebook/Notebook%20Basics.html\"> Jupyter Notebook Basics Guide </a>.</p>\n", |
17 | 17 | "<h3 style=\"font-family:verdana; margin-left:30px\">Index</a></h3>\n", |
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