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bbc-text-classification

Tej BBC Text Classification (Kaggle)

competitiveprogramming

This repository contains Solutions & Setup for competitive programming competitions and Templates for Data Structures and Algorithms, written in C++.

cpp-dsa

This repo is for C++ Data Structures and Algorithms | College Placement Course taught by renowned faculties of Apni Kaksha (Aman Dhattarwal).

financial-data-analytics

Portfolio of investment and finance-related data science projects

fradulent-transaction-detector

googleads-python-lib

The Python client library for Google's Ads APIs

hello-foss-dsa

DSA for Hacktoberfest

hybrid-lstm-garche-model-for-nasdaq-stock-prediction-forecasting

To create a data-web application deployed using the azure app service, which was made on Streamlit, the leading Pythonic data application service. On this website, we display candlestick plots of various stocks listed on the Nasdac, according to the option of the user; and utilize the Garch based time forecasting algorithm done using Seasonal arima model and conduct a virtual future prediction for the given stock, so as to be able to conduct non-pairs algorithmic trading using time forecasting and Garch-based deep learning.

image-colorizer

itsp

First year Institute Technical Summer Project (ITSP) at IIT Bombay. Tried to design a social networking website similar to facebook

learn-gan

A 2 month plan to get started with GAN

lstm-garche-based-stock-predictor

The model uses both single-layer and multi-layer perceptrons using the Hebb's algorithm. A sample dataset of 30 items is used for testing of binary classification. The accuracy is high, and the weights required will appear on executing the given code. A separate .py file spelled wrongly is added, which comprises of my own extra work comprising making a 3-layer neural network which acts as a classifier using Logistic Regression; and implements Gradient Descent for optimization. Time Dependant Neural Networks and Multilayer Perceptron Network have also been completed. Using statistic, I've also done the testing and implementation of various standard models, including Stock Forecasting, Time Series, Garch, arch and the arima model. I have also made a separate model to run a hybrid Garch-LSTM model.

meshnet

MeshNet: Mesh Neural Network for 3D Shape Representation (AAAI 2019)

python_for_seo

A 73-Part Free Course Demonstrating All Of The Different Ways That You Can Use Python To Improve Your SEO Processes.

quantitative-stock-predictor-using-sarima

responsible-ai-toolbox

This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.

risc-microprocessor

screenplay-script-generator-using-nlp