Pinned Loading

1. Spam-Filter-Using-NLP-and-Naive-Bayes Spam-Filter-Using-NLP-and-Naive-Bayes Public

   In this project, I'm going to build a spam filter for SMS messages using the multinomial Naive Bayes algorithm. My goal is to write a program that classifies new messages with an accuracy greater t…

   Jupyter Notebook

2. Predicting-Car-Prices-Using-K-nearest-Neighbors Predicting-Car-Prices-Using-K-nearest-Neighbors Public

   In this project, I will use the K-nearest neighbors model to predict a car's market price using its attributes. The data set I will be working with contains information on various cars. For each ca…

   Jupyter Notebook

3. Predicting-House-Sale-Prices-Using-Linear-Regression Predicting-House-Sale-Prices-Using-Linear-Regression Public

   In this project, I will be working with housing data for the city of Ames, Iowa, United States from 2006 to 2010. The dataset was originally compiled by Dean De Cock for the primary purpose of havi…

   Jupyter Notebook 1

4. Predicting-Bike-Rentals Predicting-Bike-Rentals Public

   In this project, I will try to predict the total number of bikes people rented in a given hour. The data was collected by Washington, D.C. and compiled by Hadi Fanaee-T at the University of Porto. …

   Jupyter Notebook

5. Handwritten-Digits-Classifier-Using-ANN Handwritten-Digits-Classifier-Using-ANN Public

   In this project, I will build models that classify handwritten digits. The load_digits() function returns a copy of the hand-written digits dataset from UCI.

   Jupyter Notebook

6. Become-A-Wise-Investor-On-Lending-Club-Using-ANN Become-A-Wise-Investor-On-Lending-Club-Using-ANN Public

   LendingClub is a US peer-to-peer lending company, headquartered in San Francisco, California. It was the first peer-to-peer lender to register its offerings as securities with the Securities and Ex…

   Jupyter Notebook