| Languages | C,C++,Python |
| Web Technologies | HTML ,CSS,JAVASCRIPT |
| Back End | MySql |
| Platform | Windows |
| Tools | Jupyter Notebook,Google Colab,Visual Studio Code |
I have build multiple machine learning models to classify a sample as benign - 0 or malware – 1 using the given dataset. The dataset is related to Portable Executable files for malware detection. and by using Streamlit, I have deploy the model by using Heroku app
By using regression analysis to predict the price of a laptop based on its components by taking all the input parameters. By using Linear Regression I have got 100% accuracy and I have done lot of EDA and finally I got 100% accuracy and I have done DATA VISUALISATION also.
dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. By using Logistic Regression i have predicted that patients has diabetes or not based on given data set, and I got 76% accuracy score.
The dataset is about to identify digit classification using the SVM algorithm.by using SVM algorithm I have identify digit classification and I got accuracy of 90%.