Ipl_Score_Predict.ipynb

{"cells":[{"metadata":{"trusted":true},"cell_type":"code","source":"import pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport pickle\n","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# **Import Ipl Dataset**"},{"metadata":{"trusted":true},"cell_type":"code","source":"ipl_data=pd.read_csv('../input/ipl-dataset/ipl.csv')\nipl_data.shape","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"ipl_data.head(5)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Data Cleaning Process"},{"metadata":{"trusted":true},"cell_type":"code","source":"#removing unwanted columns\ncolumn_delete=['mid','venue','batsman','bowler','striker','non-striker']\nipl_data.drop(labels=column_delete,axis=1,inplace=True)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"ipl_data.head(5)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"[ipl_data['bat_team'].unique()]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"current_team=['Kolkata Knight Riders', 'Chennai Super Kings', 'Rajasthan Royals',\n        'Mumbai Indians', 'Kings XI Punjab',\n        'Royal Challengers Bangalore', 'Delhi Daredevils','Sunrisers Hyderabad']\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"ipl_data=ipl_data[(ipl_data['bat_team'].isin(current_team))&(ipl_data['bowl_team'].isin(current_team))]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"ipl_data.shape","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"#Removing First 6 over i.e Powerplay to that we have atleast 6 over data to predict\nipl_data=ipl_data[ipl_data['overs']>=6.0]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"ipl_data.head(5)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"#Convert Data string to datetime object\nfrom datetime import datetime\nipl_data['date']=ipl_data['date'].apply(lambda x: datetime.strptime(x,'%Y-%m-%d'))\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"#Data Preprocessing : One Hot Encoding\nencoded_ipl=pd.get_dummies(data=ipl_data,columns=['bat_team','bowl_team'])","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"encoded_ipl.head(5)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"#Rearranging Dataset\nencoded_ipl.columns","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"encoded_ipl=encoded_ipl[['date', 'runs', 'wickets', 'overs', 'runs_last_5', 'wickets_last_5',\n        'bat_team_Chennai Super Kings', 'bat_team_Delhi Daredevils',\n       'bat_team_Kings XI Punjab', 'bat_team_Kolkata Knight Riders',\n       'bat_team_Mumbai Indians', 'bat_team_Rajasthan Royals',\n       'bat_team_Royal Challengers Bangalore', 'bat_team_Sunrisers Hyderabad',\n       'bowl_team_Chennai Super Kings', 'bowl_team_Delhi Daredevils',\n       'bowl_team_Kings XI Punjab', 'bowl_team_Kolkata Knight Riders',\n       'bowl_team_Mumbai Indians', 'bowl_team_Rajasthan Royals',\n       'bowl_team_Royal Challengers Bangalore',\n       'bowl_team_Sunrisers Hyderabad','total']]","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Train Test Split"},{"metadata":{"trusted":true},"cell_type":"code","source":"x_train=encoded_ipl.drop(labels='total',axis=1)[encoded_ipl['date'].dt.year<=2016]\nx_test=encoded_ipl.drop(labels='total',axis=1)[encoded_ipl['date'].dt.year>2016]\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"y_train=encoded_ipl[encoded_ipl['date'].dt.year<=2016]['total'].values\ny_test=encoded_ipl[encoded_ipl['date'].dt.year>2016]['total'].values","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"#remove date column\nx_train.drop(labels='date',axis=True,inplace=True)\nx_test.drop(labels='date',axis=True,inplace=True)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Model Building\n "},{"metadata":{},"cell_type":"raw","source":"Linear Regression"},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.linear_model import LinearRegression\n\nlr=LinearRegression()\nlr.fit(x_train,y_train)\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"y_pred=lr.predict(x_test)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"import seaborn as sns\nsns.distplot(y_test-y_pred)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Creating a pickle file for the classifier\nfilename = 'first-innings-score-lr-model.pkl'\npickle.dump(regressor, open(filename, 'wb'))\n\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn import metrics\nprint('Mean Absolute Error :',(metrics.mean_absolute_error(y_test,y_pred)))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"name":"python3","display_name":"Python 3","language":"python"},"language_info":{"name":"python","version":"3.7.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":4}