Skip to content
View arindam117's full-sized avatar

Block or report arindam117

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Popular repositories Loading

  1. KNN_car_rating_evaluation_ KNN_car_rating_evaluation_ Public

    This KNN model predicts the ratings given to cars using the Car Evaluation Dataset. It also explains the best parameter settings for optimum prediction values

    Jupyter Notebook 2 1

  2. Tesla-popularity-Visualization Tesla-popularity-Visualization Public

    This visualization shows the popularity growth of Tesla inc. with respect to the highest searches and sorted by countries. The graph also displays the constant increasing slope of Tesla in the user…

    Jupyter Notebook 1

  3. Face_Detection_and_Gesture_Drawing Face_Detection_and_Gesture_Drawing Public

    This is a small project for frontal face detection using predefined cascades and Virtual painting using color propagation techniques

    1

  4. Number_Plate_Detection Number_Plate_Detection Public

    This code helps to detect the number plates and crop them out in a different window for better insights using the Haar cascade training datasets.

    1

  5. Cancer_Diagnosis_Personal_Case_Study Cancer_Diagnosis_Personal_Case_Study Public

    Case study on cancer diagnosis using Kaggle genetic dataset by classifying the genes, variation and text data into one of the 9 pre classes.

    Jupyter Notebook 1

  6. Visualization-E-Vehicle-Trends- Visualization-E-Vehicle-Trends- Public

    The visualization displays the peaks and lows in the growth stage of electric vehicles vs the other fuel types, the data is taken from google trends of the last 5 years. using the pytrends library.…

    Jupyter Notebook