In this repository, we explored the topics of Logistic Regression, SVM and also some of the Deep learning techniques.

Spam email detection using Logisitic Regression Model and TF-IDF Vectorizer for Feature extraction. Integration for different Email providers (GMAIL,OUTLOOK,YAHOO) by connecting to IMAP server , classifying unseen Emails and storing marked emails as Spam in Junk/Spam folder.

A python repository for Supervised Machine Learning examples and projects. Will be continuously updated.

Machine Learning Model to predict surviver in RMS Titanic using Logisitc Regression and kaggle dataset

Detection of Diabetic Retinopathy using Retina Images. Filtering on images using Gaussian Blur, using KNN PCA for dimensionality reduction and classification of healthy retina image from unhealthy. Different algorithms like KMeans and Logistic regression used for classification of retina image into one of the five classes.

Binary classification problem to predict whether a pair of questions are duplicates or not.