💫 About Me:

I am Sarthak Chaudhary, a passionate tech enthusiast and recent graduate with a specialization in AI-ML, web development, and various other cutting-edge domains. Beyond my academic journey, I've immersed myself in the world of competitive coding, triumphing over 300 challenges on platforms like LeetCode and HackerRank.

Dive into my diverse skill set and projects by exploring my portfolio.

Let's build the future together! 🚀

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Sarthak Chaudhary's Projects

100-days-of-code

Just a Rookie Eng trying his best to be better :)

car-price-prediction

Cleaning, Testing, Training & Prediction on "CarPrice" Dataset using Linear Regression

chromaticvision

ChromaticVision is an advanced image colorization project that uses deep learning algorithms to add color to black and white images. This project is designed to enhance the visual appeal of old or historic images by adding colors that were not originally present.

energy-efficiency-analysis

Energy Efficiency Analysis using ExtraTreesRegressor

exp-1-trading-

Python Backtesting library for trading strategies

image-colorization

The following Python code is designed to add color to a grayscale image, effectively "colorizing" it. The code takes a black and white image as input and applies a process that adds color to it, resulting in a full-color image.

java

All Algorithms implemented in Java

linear-regression

This code reads the 'Salary_Data.csv.XLS' dataset and performs a linear regression analysis on the relationship between two variables, 'YearsExperience' and 'Salary'. It then visualizes the results using a scatter plot and regression line, and calculates various statistical measures such as correlation coefficient and R-squared value.

pair_trading_in_cryptocurrency

The Python code employs historical Bitcoin and Ethereum prices to train a neural network model for cryptocurrency trading, executing buy or sell decisions based on predicted spreads. It evaluates the strategy's performance, visualizes training progress, and prints executed trades with associated probabilities.