{"id":20177987,"url":"https://github.com/sefakcmn00/tensorflow_car_price_analysis","last_synced_at":"2026-04-14T03:31:47.281Z","repository":{"id":122466093,"uuid":"525798417","full_name":"sefakcmn00/Tensorflow_Car_Price_Analysis","owner":"sefakcmn00","description":"In this project, after extracting the data sets as csv, we tried to represent the car prices graphically and schematically by using data analysis and data visualization methods. 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We checked the connection of the car prices we analyzed with other data, then we created a 4-layer and 12-neuron system.\n\n\n## Libraries and Utilities\n\n```Python\nimport pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport seaborn as sbn\n```\n### Let's take a look at our top five data\n\n```Python\ndataFrame=pd.read_excel(\"merc.xlsx\")\ndataFrame.head()\n```\n\n![image](https://user-images.githubusercontent.com/67556543/185145085-22dc17e6-876c-4aaa-bca0-2bcec7d760ac.png)\n\n\n```Python\ndataFrame.describe()\n```\n![image](https://user-images.githubusercontent.com/67556543/185145403-19647330-380b-4a34-8fc2-eea40d50e3b2.png)\n\n### Car Price Analysis Graph\n\n```Python\nplt.figure(figsize=(7,5))\nsbn.displot(dataFrame[\"price\"])\n```\n\n![image](https://user-images.githubusercontent.com/67556543/185145650-e3f4f6de-2032-400d-a8f9-378d8a5f6a95.png)\n\n\n### Car Price Analysis Grap\n\n```Python\nsbn.countplot(dataFrame[\"year\"])\n```\n![image](https://user-images.githubusercontent.com/67556543/185145841-1cbf60df-8a30-4af8-a184-74a2804f8ec7.png)\n\n\n\n### Price vs Miles\n\n```Python\nsbn.scatterplot(x=\"mileage\",y=\"price\",data=dataFrame)\n```\n![image](https://user-images.githubusercontent.com/67556543/185146361-27c54bd6-0d0a-4fad-adc8-fc512aa59d50.png)\n\n### Price vs Year\n\n```Python\nsbn.scatterplot(x=\"year\",y=\"price\",data=dataFrame)\n```\n![image](https://user-images.githubusercontent.com/67556543/185146809-cd7260ed-c073-4c8f-8c07-252823a72dd9.png)\n\n### Data Cleaning\n```Python\nVeritemizleme=dataFrame.sort_values(\"price\",ascending=False).iloc[131:]\n```\n![image](https://user-images.githubusercontent.com/67556543/185147156-a0d3cacb-6117-4829-9ba7-f35424708868.png)\n\n### Data Training\n```Python\nfrom sklearn.preprocessing import MinMaxScaler\nscaler=MinMaxScaler()\nx_train=scaler.fit_transform(x_train)\nx_test=scaler.transform(x_test)\n\nfrom tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import Dense\n\nmodel=Sequential()\nmodel.add(Dense(12,activation=\"relu\"))\nmodel.add(Dense(12,activation=\"relu\"))\nmodel.add(Dense(12,activation=\"relu\"))\nmodel.add(Dense(12,activation=\"relu\"))\nmodel.add(Dense(1))\nmodel.compile(optimizer=\"adam\",loss=\"mse\")\n\nmodel.fit(x=x_train,y=y_train,validation_data=(x_test,y_test),batch_size=250,epochs=300)\n\n```\n\n### Regression graph\n```Python\n\nplt.scatter(x=y_test,y=tahminDizisi)\nplt.plot(y_test,y_test,\"g-*\")\n\n```\n![image](https://user-images.githubusercontent.com/67556543/185147861-08b18f58-6a70-4683-94d6-319bb50f0d5e.png)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsefakcmn00%2Ftensorflow_car_price_analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsefakcmn00%2Ftensorflow_car_price_analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsefakcmn00%2Ftensorflow_car_price_analysis/lists"}