Name: Gautam Ojha
Type: User
Company: University of Illinois at Chicago
Bio: My interest lies in Spring Boot, Java, Microservices and CI/CD pipelines, you can approach me via my email ([email protected]).
Location: Chicago, United States
Gautam Ojha's Projects
A curated list of deep learning resources for computer vision
Learn Low Level Design (LLD) and prepare for interviews using free resources.
Learn System Design concepts and prepare for interviews using free resources.
A modern, full-featured, highly extensible and easier-to-use Java 8+ Framework for Cloud Computing Simulation ⛅️🏗
A complete computer science study plan to become a software engineer.
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Digital Signal Processing mini project: Autotune
New Repository on EDA of Titanic Dataset from Kaggle
Using oriented gabor filters to enhance fingerprint images
Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.
Performing Eda and trying different Models to predict Species of Flower in Iris Dataset
Solving the titanic dataset where I haved used three approaches(Decision tree,Random Forest,Feature Engineering) to solve it in python.
A Repository for Linear Depository in Python
A java program to print the longest increasing sub-sequence and returns the length of Longest Increasing Subsequence
I have completed the Andrew Ng's Machine Learning with all the assignments.
NLP in Python with Deep Learning
Implementing a Neural Network from Scratch
Order Pick Up Service
Odin: Pose estimation-based tracking and counting of people in videos
Attempt on a Kaggle competition, Personalized Web Search Challenge, hosted by Yandex (http://www.kaggle.com/c/yandex-personalized-web-search-challenge)
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Sms Spam Classifier Using Natural Language Processing
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.