Here are some of my ML projects. This even includes my Kaggle solutions too.
Given Certain features of a specific individual this model predicts whether the data is either a male or female. Typically classification model. This is verified on various models such as MLPClassifier, KNeighborsClassifier, GaussianNB, Treeclassifier. This includes an accuracy score monitor that indicates the % of correctness in the predictions made.
Includes two price predictors and behavior predictors, where the default sklearn boston house and another fiticious dataset is used. Additionally, it includes a predictive model for fiticious company where the intent is to understand and predict human behaviour on their platforms such as web and app which enables decision makers to dictate the company's marketing efforts.
Given Certain features of a specific female individual this model predicts whether the individual's cancer is malignant or benign. Uses SVM and standard scaling.
Suggests movies based on similar interests from other users.
On a whole bunch of corpus, the classifier model uses NLP to regard an incoming text as Spam or Ham.
Uses unsupervised learning to group the given universities in the dataset to be regarded as either private or public.