Machine Learning Projects

Projects Covered:

1. Finding Donors for CharityML: In this project, supervised learning techniques and an analytical mind is applied on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause. DataSet Used: UCI Census Income

2. Creating Customer Segments: In this project unsupervised learning techniques are applied on product spending data collected for customers of a wholesale distributor in Lisbon, Portugal to identify customer segments hidden in the data. DataSet Used: UCI Wholesale customers

3. Titanic Survival Exploration: In this project, decision functions are created that attempt to predict survival outcomes from the 1912 Titanic disaster based on each passenger's features.

4. Spam classifier: This project is aimed for detecting spam text messages. DataSet Used: UCI Spam Collection

5. Image Classification In this project, a convolutional neural network is implemented to classify images from the CIFAR-10 dataset. DataSet Used: CIFAR-10 Dataset

6. Train a Smart Cab to Drive In this project, reinforcement learning techniques are applied for a self-driving agent in a simplified world to aid it in effectively reaching its destinations in the allotted time.

Capstone Project

7. Quora: Identifying Questions with same intent In this project, a binary classification model is build using a simulated dataset containing a pair of questions and a binary class label stating whether a pair is duplicate or not to identify whether a question pair is duplicate or not. DataSet Used: Kaggle : Quora - Questions Dataset

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