In this Project we trained our model using gradientboost regressor and randomforest regressor and choose the optimal parameters and optimal model using GridSearchCV and choose the best model,which we then used for predicting housing prices
In this project we analyzed several machine learning algorithms using GridSearchCV and got the best model which we used for predicting survivors of titanic disaster.
In this project we tried to predict the label of MNIST dataset.MNIST dataset are series of image data where we want to predict labels using tensorflow keras CNNs.
In this project we grouped the data using DBSCAN and K-Means and analyzed the best method for grouping data using elbow plots
Compared Fandango displayed reviews vs original reviews of their website and other websites like rottentomatoes using tools of python like pandas,seaborn,matplotlib.
Looked into the data of paddy diseases and performed EDA and came to conclusion what disease affects what paddy variety more