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1. burn-calories-prediction-using-XGBooster- burn-calories-prediction-using-XGBooster- Public

   its a machine learning model which uses XGBooster to predict the burn calories. the dataset has been taken from official kaggle site.

   Python

2. customer-segmenation-using-k-means-clustering customer-segmenation-using-k-means-clustering Public

   its a machine learning model which segments the customers using k-means clustering, the optimal number of clusters is find through WCSS.

   Python

3. logistic-regression-bases-3-species-classification-model-using-IRIS-dataset logistic-regression-bases-3-species-classification-model-using-IRIS-dataset Public

   its just a simple supervised learning model which uses logistic regression . here we classify the species using petal and sepal features , the dataset which we are using is IRIS dataset

   Python

4. parkinsons-disease-prediction-using-support-vector-machine parkinsons-disease-prediction-using-support-vector-machine Public

   its a SVM classifier which predicts wether a person has parkinson's disease or not. here we are using SVC i.e support vector classifier. the dataset has been taken from kaggle.

   Jupyter Notebook

5. simple-heart_disease_prediction-using-logisticRegression simple-heart_disease_prediction-using-logisticRegression Public

   Its a simple yet good model which predicts if a person have heart disease or not. This is a binary classification model i.e its output is either 0(dont have heart disease) or 1 (have heart disease).

   Python

6. yelpcamp yelpcamp Public

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   JavaScript