In this project I implement AB test in numpy. I compare the result with scipy's ttest results. This is an exercise in hypothesis testing and we will still be using scipy t & chi squared distribution class to get the t and chi squared cumulative distribution function. The t tests can be one or two sided depending on the parameter input....
In this project I test SVM on facial expression data: https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge. Here I only deal with two label classes: Happy and Angry....
In this project we begin unsupervised ML with K-means clustering....
In this project we employ Sklearn's pipelines to compare performances two robust models for NLP : Multinomial Naive Bayes and the Random Forests....
In this project we utilize SVM to evaluate ML performanceson IRIS image dataset. The Data: Iris flower data set. The data set consists of 50 samples from each of three species of Iris (Iris setosa, Iris virginica and Iris versicolor), so 150 total samples. Four features were measured from each sample: the length and the width of the sepals and petals, in centimeters. Here's a picture of the three different Iris types:...
In this project we try out the most common Nearest neighbors technique: K-NN....
In this project we utilize Decision Trees and Random Forest to evaluate ML performances. Data: Lending data from 2007-2010 (https://www.lendingclub.com/info/download-data.action) to classify and predict whether or not the borrower paid back their loan in full....
This Project comprises of Logistic Regression exercise in python....
This project comprised of Linear Regression in python. ** Data head: ** Email Address Avatar Avg. Session Length Time on App Time on Website Length of Membership Yearly Amount Spent 0 [email protected] 835 Frank Tunnel\nWrightmouth, MI 82180-9605 Violet 34.497268 12.655651...
