further_development.ipynb

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    "to do:\n",
    "* get more data, including reviews, test scores...\n",
    "* optimize number of clusters\n",
    "* gridsearch everything\n",
    "* use NLP, get most important words for loser/elite\n",
    "* pipeline that writes results to csv and txt files\n",
    "* SQL, Object Relations, and ETL\n",
    "* A web app (Dash/Flask) to explore database"
   ]
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    "explore:\n",
    "* multiple correspondence analysis\n",
    "* PCA on document word-count vectors (topic modeling)\n",
    "* partial dependence plots\n",
    "* ordinal regression (Python package \"mord\")"
   ]
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    "presentation highlights:\n",
    "* Use case (with screenshot of a profile-list-of-10 page on Upwork)\n",
    "* Flowchart of data-science work (Lucid Chart?)\n",
    "* screen video of ghost scraping - explain Selenium\n",
    "* histograms of rate, hours, jobs, number of skills, number of words in headline(?) with mean and standard deviation\n",
    "* show rate distributions by skill\n",
    "* gif of k-means's happening\n",
    "* show data frames with skills one-hot encoded to explain Hamming distance/k-modes\n",
    "* cluster boxplot, show clusters \n",
    "* compare models table of regressions' R2 and RMSE\n",
    "* confusion matrix, ROC for classification\n",
    "* show feature importances"
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