Deep Learning Repository

This repository contains a collection of deep learning projects covering various problems and techniques. Each project is grouped into one of the following categories:

Classification Problems

1. Cardiovascular Prediction:

   Predict whether a person has a cardiovascular disease based on medical factors. (Binary Classification)

2. Customer Segmentation:

   Group customers into distinct categories based on behavior and attributes. (Multi-class Classification)

3. Drybean Prediction:

   Predict the yield of drybeans based on environmental factors and agronomic practices. (Multi-class Classification)

4. News Classification (Political News/World News) (Time-Series Data):

   Classify news articles into political or world news categories. (Multi-class Time-Series Classification)

5. Sentiment Prediction (Positive/Negative Reviews) (Time-Series Data):

   Classify customer reviews as positive or negative. (Binary Time-Series Classification)

6. Multiclass Text Classification (Articles)

   Classify articles based on their topics. It aims to predict whether an article belongs to one of five categories: sport, business, politics, tech, or entertainment.

Regression Problems

1. Auto Price Prediction:

   Predict the price of a auto parts based on various attributes. (Regression)

2. Google Stock Prediction (Time-Series Data):

   Predict the stock price of Google based on historical data. (Time-Series Regression)

3. Medical Insurance Prediction:

   Predict the cost of medical insurance based on demographic and health factors. (Regression)

4. BTC Price Prediction (Time-Series Data):

   Predict the price of Bitcoin. (Time-Series Regression)

5. Top Glove Stock Price Prediction (Time-Series Data):

   Predict the stock price of Top Glove, a leading manufacturer of gloves. (Time-Series Regression)

6. Daily Covid Cases Prediction (Time-Series Data):

   Predict the trend of daily Covid-19 cases in Malaysia.

Each project folder contains all the necessary files, including scripts for training and testing, data files, and any saved models or intermediate outputs.

Build with:

Acknowledgment

The projects in this repository are made possible through the use of the following datasets:

• Cardio Vascular Disease Dataset
• Customer Segmentation Dataset
• Dry Bean Dataset
• News Classification
• Sentiment Analysis
• Auto Part Price Prediction
• Google Stock Prediction
• Medical Insurance Prediction
• BTC Price Prediction
• Top Glove Stock Price Prediction
• Covid-19 Datasets Malaysia
• Multiclass Text Classification