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1. Calories_Burn_Prediction Calories_Burn_Prediction Public

   Calories burnt prediction using Machine Learning with Python. For this prediction, I have used XGBoost Regressor model.

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2. Credit-Card-Fraud-Detection Credit-Card-Fraud-Detection Public

   It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase.

   Jupyter Notebook

3. Fake-News-Detection-using-Machine-Learning-NLP- Fake-News-Detection-using-Machine-Learning-NLP- Public

   The main objective is to detect the fake news, which is a classic text classification problem with a straight forward proposition. It is needed to build a model that can differentiate between “Real…

   Jupyter Notebook

4. Hotel_review_classification Hotel_review_classification Public

   Hotel reviews collected from the guests can be classified into three subclasses i.e. positive, negative, or neutral and therefore we can analyze the sentiment of the customer

   Jupyter Notebook

5. Thyroid_Disease_Detection Thyroid_Disease_Detection Public

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6. Toxic-Comment-Classification Toxic-Comment-Classification Public

   In this Project i build the model that’s capable of detecting different types of of toxicity like threats, obscenity, insults, and identity-based hate better than Perspective’s current models. You…

   Jupyter Notebook