Ndanu

.gitignore

@@ -0,0 +1,9 @@
+# Ignore dataset folders and large files
+zippedData/
+*.db
+*.tsv
+*.csv
+*.zip
+*.gz
+*zippedData/IMDB
+*im.db

student.ipynb

@@ -14,19 +14,68 @@
     "* Blog post URL:\n"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Business Problem\n",
+    "The company wants to launch a new movie studio to produce original video content. However, the team lacks data-driven insights into what types of movies perform well in the market."
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Your code here - remember to use markdown cells for comments as well!"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import Relevant libraries\n",
+    "import pandas as pd\n",
+    "import gzip"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Connect to the SQLite database\n",
+    "import sqlite3\n",
+    "import numpy as np\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Data Analysis"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "learn-env",
    "language": "python",
    "name": "python3"
   },
@@ -40,7 +89,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.8.5"
   }
  },
  "nbformat": 4,