Shivam Bhardwaj's Projects
AGGREGATION WEB APP
Autoencoding, a dynamic data compression algorithm, sets itself apart by crafting compression and decompression functions that are data-specific, lossy, and learned autonomously from examples rather than human-engineered.
A quantitative study on BOC stock.
BASICS OF CV2
The Bidirectional RNN-based Poem Generator is an innovative natural language processing (NLP) project designed to generate expressive and contextually rich poems.
Big Data Analytics - Spark and Machine Learning Examples
The Binomial Option Pricing Model is a financial model used for valuing options by simulating possible price movements over time. It calculates the option's expected value at different nodes, considering up and down movements, enabling more accurate pricing decisions in uncertain markets.
A basic project depicting a calculator using HTML, CSS and JS.
Continuos Intigration
š Exploring Data in the World of Finance: The Capital Asset Pricing Model (CAPM) š In the dynamic world of investments, understanding risk and expected returns is key. š CAPM, a financial model, plays a pivotal role by linking systematic risk with the returns we anticipate, particularly with stocks. š
Contact Management System: add, delete, edit, fetch contacts.
The following mini project predicts sex of the covid 19 patients in China on the basis of their history with wuhan
This project provides us with the prediction of credit card fraud on the basis of several data provided.
The following work concentrates on the use of deep neural networks for prediction of Angular distortion obtained in the stainless steel used under various conditions.
Analysis physical feature and behavioural traits of numerous breeds.
This repo is for the Linkedin Learning course: End-to-End Data Engineering Project
This project analyzed Europe's population without pre-built packages in Python. Statistical tools were used to gain insights into age distribution, gender ratio, and population density. Data was sourced from public datasets, analyzed using custom-written Python scripts, and presented with visualizations and descriptive statistics.
š Expectation-Maximization: Elevating Data Insights! šš« In the captivating world of data science, there's an unsung hero that doesn't always get the spotlight it deserves - the Expectation-Maximization (EM) algorithm. š§©š š¤ EM is like the Sherlock Holmes of the data world, expertly extracting hidden insights from your data.
A Time Series Library for Apache Spark
This guide demonstrates using an external tool alongside the genai.chat method to provide the accurate solution to a word problem.
Working with gemini pro's multimodal functionality. Looking
Parameter efficient tuning - LoRA
In this repository, I focus on analysing large genomic data, its quantization, vizualization and performing predictive analytics.
Gradient Clipping is a technique used to tackle the problem of exploding gradients in neural networks, especially during training