Pinned Repositories
Breast-cancer-prediction
Breast cancer is predicted using the learner logistic regression with an accuracy of 95.6%. The dataset which is used is a predefined dataset from sklearn. The source code is equipped with a few number of comments, which will help the people who are new to machine learning. Knowledge of python is necessary.
customer-churn-prediction
Artificial Neural Network(ANN) made using Keras in python to predict the customer churn rate. Predicted by using 3 layer deep neural network having 6 neurons each. Achieved an accuracy of 87.7% on 500 iterations.
Exploring-Hacker-News-Posts
Aim: compare two different types of posts from Hacker News, a popular site where technology related stories (or 'posts') are voted and commented upon. The two types of posts we'll explore begin with either Ask HN or Show HN. Users submit Ask HN posts to ask the Hacker News community a specific question, such as "What is the best online course you've ever taken?" Likewise, users submit Show HN posts to show the Hacker News community a project, product, or just generally something interesting. We'll specifically compare these two types of posts to determine the following: Do Ask HN or Show HN receive more comments on average? Do posts created at a certain time receive more comments on average? It should be noted that the data set we're working with was reduced from almost 300,000 rows to approximately 20,000 rows by removing all submissions that did not receive any comments, and then randomly sampling from the remaining submissions.
Profitable-App-Profiles
Analysed data about the App Store and Play Store with the goal of recommending an app profile that can be profitable for both markets
chaitanyachadha1's Repositories
chaitanyachadha1/Exploring-Hacker-News-Posts
Aim: compare two different types of posts from Hacker News, a popular site where technology related stories (or 'posts') are voted and commented upon. The two types of posts we'll explore begin with either Ask HN or Show HN. Users submit Ask HN posts to ask the Hacker News community a specific question, such as "What is the best online course you've ever taken?" Likewise, users submit Show HN posts to show the Hacker News community a project, product, or just generally something interesting. We'll specifically compare these two types of posts to determine the following: Do Ask HN or Show HN receive more comments on average? Do posts created at a certain time receive more comments on average? It should be noted that the data set we're working with was reduced from almost 300,000 rows to approximately 20,000 rows by removing all submissions that did not receive any comments, and then randomly sampling from the remaining submissions.
chaitanyachadha1/Profitable-App-Profiles
Analysed data about the App Store and Play Store with the goal of recommending an app profile that can be profitable for both markets
chaitanyachadha1/Breast-cancer-prediction
Breast cancer is predicted using the learner logistic regression with an accuracy of 95.6%. The dataset which is used is a predefined dataset from sklearn. The source code is equipped with a few number of comments, which will help the people who are new to machine learning. Knowledge of python is necessary.
chaitanyachadha1/customer-churn-prediction
Artificial Neural Network(ANN) made using Keras in python to predict the customer churn rate. Predicted by using 3 layer deep neural network having 6 neurons each. Achieved an accuracy of 87.7% on 500 iterations.