add Statistics package to file 09 - issue JuliaAcademy#89

introductory-tutorials/broader-topics-and-ecosystem/intro-to-ml/09. ML - What is learning.ipynb

@@ -18,7 +18,7 @@
       "outputs": [],
       "cell_type": "code",
       "source": [
-        "using Plots; gr()\nusing Images; using Interact\n\nσ(x,w,b) = 1 / (1 + exp(-w*x+b))\n\napple =  load(\"data/10_100.jpg\")\nbanana = load(\"data/104_100.jpg\")\napple_green_amount =  mean(Float64.(green.(apple)))\nbanana_green_amount = mean(Float64.(green.(banana)));\n\n@manipulate for w in -10:0.01:30, b in 0:0.1:30\n    \n    plot(x->σ(x,w,b), 0, 1, label=\"Model\", legend = :topleft, lw=3)\n    scatter!([apple_green_amount],  [0.0], label=\"Apple\")\n    scatter!([banana_green_amount], [1.0], label=\"Banana\")\n    \nend"
+        "using Plots; gr()\nusing Images; using Interact\nusing Statistics\n\nσ(x,w,b) = 1 / (1 + exp(-w*x+b))\n\napple =  load(\"data/10_100.jpg\")\nbanana = load(\"data/104_100.jpg\")\napple_green_amount =  mean(Float64.(green.(apple)))\nbanana_green_amount = mean(Float64.(green.(banana)));\n\n@manipulate for w in -10:0.01:30, b in 0:0.1:30\n    \n    plot(x->σ(x,w,b), 0, 1, label=\"Model\", legend = :topleft, lw=3)\n    scatter!([apple_green_amount],  [0.0], label=\"Apple\")\n    scatter!([banana_green_amount], [1.0], label=\"Banana\")\n    \nend"
       ],
       "metadata": {},
       "execution_count": null