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Commit 43b1906

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committed
2nd July 2025
1 parent 605fb16 commit 43b1906

15 files changed

+18
-18
lines changed

Car_Data Encoding and Outliers_removal.ipynb

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},
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"cell_type": "code",
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"source": [
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"data=pd.read_csv('car_data.csv')\n",
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"data=pd.read_csv('CSV Files/car_data.csv')\n",
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"data.head(8)"
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],
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"id": "29ba54c4d18a2d4b",

College_Students Data Processing.ipynb

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},
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"cell_type": "code",
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"source": [
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"data=pd.read_csv(\"college_student_data.csv\")\n",
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"data=pd.read_csv(\"CSV Files/college_student_data.csv\")\n",
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"data.head(3)"
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],
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"id": "a851790a6ca64f34",

Data Filling.ipynb

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},
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"cell_type": "code",
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"source": [
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"data=pd.read_csv('factory_worker_data.csv')\n",
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"data=pd.read_csv('CSV Files/factory_worker_data.csv')\n",
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"data"
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],
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"id": "b518095b2fc4f027",
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}
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},
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"cell_type": "code",
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"source": "DATA=pd.read_csv('car_data.csv')",
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"source": "DATA=pd.read_csv('CSV Files/car_data.csv')",
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"id": "c70a851026f41307",
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"outputs": [],
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"execution_count": 19

Encoding.ipynb

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"cell_type": "code",
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"source": [
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"from sklearn.preprocessing import OneHotEncoder\n",
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"data=pd.read_csv(\"Students.csv\")\n",
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"Data=pd.read_csv(\"factory_worker_data.csv\")\n",
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"data=pd.read_csv(\"CSV Files/Students.csv\")\n",
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"Data=pd.read_csv(\"CSV Files/factory_worker_data.csv\")\n",
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"data"
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],
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"id": "f474872b8924dea6",
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}
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},
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"cell_type": "code",
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"source": "Data1=pd.read_csv(\"factory_worker_data.csv\")",
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"source": "Data1=pd.read_csv(\"CSV Files/factory_worker_data.csv\")",
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"id": "49d700e1ec62d86f",
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"outputs": [],
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"execution_count": 264

Feature Selection.ipynb

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}
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},
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"cell_type": "code",
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"source": "data = pd.read_csv(\"Diabetes.csv\")",
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"source": "data = pd.read_csv(\"CSV Files/Diabetes.csv\")",
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"id": "6afc2370a173bb82",
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"outputs": [],
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"execution_count": 2

Function Transfomation.ipynb

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},
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"cell_type": "code",
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"source": [
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"data = pd.read_csv('car_data.csv')\n",
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"data = pd.read_csv('CSV Files/car_data.csv')\n",
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"data"
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],
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"id": "bc1ed1c731caed3b",

Min-Max Scaling(Normalization Technique).ipynb

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},
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"cell_type": "code",
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"source": [
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"data=pd.read_csv('car_data.csv')\n",
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"data=pd.read_csv('CSV Files/car_data.csv')\n",
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"data.head(3)"
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],
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"id": "9daf840294aa2d70",

Outliers.ipynb

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},
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"cell_type": "code",
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"source": [
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"data=pd.read_csv('car_data.csv')\n",
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"data=pd.read_csv('CSV Files/car_data.csv')\n",
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"data"
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],
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"id": "f9bd9f7bf435df29",
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"cell_type": "code",
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"source": [
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"# Now i will try to find outliers in Movies Data\n",
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"Data=pd.read_csv('Moviesdata.csv')"
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"Data=pd.read_csv('CSV Files/Moviesdata.csv')"
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],
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"id": "d5ce8de9ba970f07",
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"outputs": [],

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