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algorithmic-trading-unsupervised-and-clustering-methods

Machine Learning Quant Strategies using clustering to identify similar risk and return characteristics

boilerplate-demographic-data-analyzer

boilerplate-mean-variance-standard-deviation-calculator

boilerplate-medical-data-visualizer

boilerplate-page-view-time-series-visualizer

boilerplate-sea-level-predictor

ccfraud_detection

Implemented a credit card fraud detection system using machine learning techniques on a dataset containing transactional information. Utilized various classifiers including Logistic Regression, Random Forest, SVM, Gradient Boosting, and Decision Tree to accurately classify transactions as fraudulent or legitimate.

cnn-clothing-classification

Leveraging a CNN model to classify images of clothing into 10 different categories. The trained model is flexible can be deployed and used with any other images, provided they're adjusted to the input parameters.

excel-proficiency

My journey of learning and achieving proficiency in MS Excel, in regard to Data Science.

excel-vba-automations

This repository contains some of the excel VBA automations I have learnt over the year.

food-and-nutrition-eda

This project analyses the most common available foods and the nutritional facts in them. This was done to mainly learn visualisation and plots, especially to experiment with the 3D plots

lstm-vs-gru-for-algotrading

The main Objective of this project was to analyze the results of both LSTM and GRU on temporal dependencies of stock price data.

mysql-proficiency

This repository is for me to upload sql commands as I learn them day by day

power-bi-project

Did a power BI project on the sales data of an international organisation.

quant-lstm-strategy

twitter-sentiment-algotrading

Using the twitter sentiments data to develop an algo trading strategy based on the nature of the sentiments - positive or negative