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Update Exercise03.ipynb
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Exercise03/Exercise03.ipynb

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@@ -9,7 +9,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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" 145., 146., 147., 148.])"
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]
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},
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"execution_count": 3,
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"data = np.genfromtxt('numbers.csv', delimiter=',', names=True)\n",
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"data = np.genfromtxt('../datasets/numbers.csv', delimiter=',', names=True)\n",
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"data = data.astype('float64')\n",
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"data\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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" 6570., 6615., 6660.])"
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]
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},
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"execution_count": 4,
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 4,
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"metadata": {
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"scrolled": true
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},
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" 2.15657312, 2.17134417, 2.18611521])"
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]
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},
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"execution_count": 5,
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.3"
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"version": "3.7.4"
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}
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},
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"nbformat": 4,

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