Project Name- CelebrityFaceRecognition

• Aim- Use this project to classify Movie Actor Personalities.

• Table of Contents- Introduction, General info, Technologies, Algorithm/model, Important Libraries, Data Source.

• Introduction- In this Data Science project, We classify Movie Actor Personalities.

       1. Hrithik Roshan                                                 
       2. Jhonny Depp                                         
       3. Keanu Reeves                             
       4. Tom cruise                           
       5. Tom Hiddleston 
  

• General info- This Project classify movie actor images using opencv by face structure.

• Technologies-

   1. Python
   2. Numpy and OpenCV for data cleaning
   3. Matplotlib & Seaborn for data visualization
   4. Sklearn for model building
   5. Jupyter notebook as IDE
  

• Algorithm/model- Use SVM(Support vector machine)

  	model	                  best_score	 best_params
     
  0	svm	                  0.738690	    {'C': 1, 'kernel': 'linear'}
  1	random_forest	          0.472959	    {'n_estimators': 10}
  2	logistic_regression       0.693027	    {'C': 1}
  3	KNeighbors	          0.564031	    {'n_neighbors': 1}
  

• Important Libraries- Numpy, matplotlib, pandas, sklearn, Opencv, Seaborn.

• Data Source- Scrap images from google using imageye a chrome-extension