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chat_app
I had built Fully Functioning Chat App with flutter & Firebase.I had used Firebase Auth, Firebase Firestore, Shared Preference to keep the user logged in, and Stream builder.User can search friends and message them. Chat Room is also created.Breast-Cancer-Prediction
Support Vector Machine(SVM) algorithm was able to classify tumors into Malignant/Benign with 97% accuracy. The technique can rapidly evaluate breast masses and classify them in automated fashion. I visualized the data by pair-plot,scatter-plot,count-plot and heatmap with the help of seaborn library. It can be further improved by combing computer vision/ML techniques to directly classify cancer using tissue images.Student-Performance-Data-Set
The objective of this model is predict student performance in secondary education. First i visualize the grades of each student by all categorical andthe numeric columns. I dropped the columns that does not have great impact on performance. Then i encoding categorical data and applied backward elimination for finding optimal features. I split the data into training and test sets. I trained data on Random forest classifier, Kernel SVM and KNeighborsClassifier. So by confusion matrix and f-score we find out that random forest(77% accuracy) is best classifier for this problem. I plotted feature importance plot we find out absences is the important features for determining the grades of students.Love Open Source and this site? Check out how you can help us