Module1.ipynb

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    "# Machine Learning Basics\n",
    "In this module, you'll be acquiring and handling datasets. You will be using the Cinema Data, Salary Data and Reviews Data for the tasks in this module. <br> <br>\n",
    "**Pipeline:**\n",
    "* Acquiring the data\n",
    "* Handling files and formats\n",
    "* Data Analysis\n",
    "* Prediction\n",
    "* Analysing results"
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    "## Dataset Handling\n",
    "* You can find the Reviews Data in a RAR file in the 'Data' directory. Extract this dataset and use it for this module.\n",
    "\n",
    "* The dataset contains positive and negative movie reviews. The files 'Positive_Reviews.txt' and 'Negative_Reviews.txt' contain names of files having positive and negative reviews respectively. Create two directories ‘pos’ and ‘neg’, and segregate the reviews accordingly into the two directories.\n",
    "\n",
    "* Load ‘cv000_29590.csv’ and report the number of words present in the first column.\n",
    "\n",
    "* Find the number of unique words in the first column. For this task, ignore punctuations, that is, punctuations are not considered as a word or a part of it.\n",
    "\n",
    "* Lookups: OS module, String functions"
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