ReshapingNormalizingData.ipynb

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  "**RESHAPING AND NORMALIZING THE DATA**\n",
  "\n",
  "It is important to normalize your data before running any implementation of PCA to avoid important information about your dataset being dropped and thus reducing the ability of your model to learn better general patterns down the line"
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  "from sklearn.decomposition import PCA\n",
  "from sklearn.preprocessing import StandardScaler\n",
  "\n",
  "image_shape = shape(raw_training_x[0])\n",
  "\n",
  "pca_x = np.reshape(raw_training_x, (24000,96))\n",
  "\n",
  "scaler = StandardScaler()\n",
  "scaler.fit(pca_x)\n",
  "scaled_x = scaler.transform(pca_x)"
 ]
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