The aim of this is to showcase Machine Learning Projects that I did in Python!!
Legend:
- โ = project is finished
- โ = project is being planned, yet to start.
- โ = project is in motion, not finished
- Customer Segmentation โ
- Detecting Parkinsons Disease โ
- Medical Insurance Cost โ
- Mushroom Classification โ
- Movie Recommendation โ
- Webscraping Wikipedia for group discrographies โ
- Breast Cancer Detection โ
- Chatbots โ
- Stock Prices โ
- Mental Health in Tech โ
- Song Prediction โ
Following are the projects/case studies I have done in the Machine Learning Field and its descriptions. Projects are grouped by learning styles:
Name | Description |
---|---|
Detecting Parkinson's Disease | SVM implementation to predict if a patient is disease positive or not |
Medical Insurance Cost | Implement a Linear Regression model to predict the cost of insurance depending on several factors. |
Mushroom Classification | Decision Trees implementation to predict if a mushroom is edible or poisonous |
Breast Cancer | Implement Logistic Regression model to accurately predict if breast cancer is benign or not |
Name | Description |
---|---|
Customer Segmentation | Implementation of k-Means Clustering to classify customers based on the income and spending score |
Name | Description |
---|---|
Movie Recommendation | Build a recommendation system based on content and popularity by calculating Cosine Similarity. |
Webscraping | Code to webscrape a Wikipedia page (specifically for a discography page) |
Mental Health in Tech | Visualization that shows any patterns in the mental health of people working in tech. |
Websites (for project inspo):