Stock Prediction System (Stocker)
Analyzed machine learning algorithms including Regression and classification models for stock prediction using Python Libraries.
Optimized accuracy by ~10% by using the Facebook Prophet Time-Series model.
- HTML CSS JS
- Bootstrap
- Python
- Facebook- Prophet
GirlScript Chennai
Contributed in OpenSource for GirlScript Summer of Code 2020
Worked on front-end developement with HTML CSS JS and had successful mergers.
- Git
- HTML CSS
- JavaScript
- Open Source
Used Car Price Prediction
Made a machine Learning model to successfully predict the price of Used cars based on different attribute.
Used methods like Data cleaning, feature extraction, data visualization and Random Forest regression to reach an accuracy of 83.03%
- Python
- Numpy Pandas
- Data Minning
- Random Forest
Study of Suicide Pattern and Prevention
Processed reliable dataset for unsupervised learning.
Constructed data visualization and exposed important patterns in suicide rates across the globe.
Python
Logistic Regression
Bank Loan and Credit Score Analysis
Created visual analysis for credit score pattern.
Advised against patterns leading towards bankruptcies and debts.
prepared an efficient model to predict future loan defaulters
R programming
Logistic Regression
Typing Tutor
A simple application to help increase typing speed and accuracy.
The program computes typing speed and accuracy of text for practicing amoung Linux users.
C programming
Linux
Until next time!
XOXO
Nidhi Raniyer