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1. Simple-linear-regression-Delivery-Data Simple-linear-regression-Delivery-Data Public

   Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. Predict delivery time using sorting time

   Python

2. Build-a-prediction-model-for-salary-hike-Simple-linear-regression Build-a-prediction-model-for-salary-hike-Simple-linear-regression Public

   Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. Build a prediction model for Salary_hike

   Python

3. Multi-Linear-Regression Multi-Linear-Regression Public

   Consider only the below columns and prepare a prediction model for predicting Price. Corolla<-Corolla[c("Price","Age_08_04","KM","HP","cc","Doors","Gears","Quarterly_Tax","Weight")]

   Python

4. MultilinearLInear-Regression-startups MultilinearLInear-Regression-startups Public

   Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model.

   Python

5. Logistic-Regression Logistic-Regression Public

   The data is about client information of a Bank and the task is given as to predict whether the client has subscribed a term deposit or not

   Python

6. Clustering Clustering Public

   Perform clustering (hierarchical,K means clustering and DBSCAN) for the airlines data to obtain optimum number of clusters. Draw the inferences from the clusters obtained.

   Python