palak singhal's repositories
COVID-Chest-X-Ray
Ensemble Model for the classification of X-Ray Images into disease classes of COVID, Pneumonia and Normal using Tensorflow 2.0
Customer_Churn_Prediction
Customer churn prediction using improved balanced random forests
100daysofcode
Learning Web Developement as a part of #100_days_of_code
CodeFunDo19
To demonstrate how Azure Blockchain can be used to make Elections, referendum, and polls more secure, reliable, and transparent.
Complaint_Forum
Complaint Forum made as a task for IRIS
Crowd_Face_Detection
Repository which contains work related to face detection in crowd
Cubic-TCP
CUBIC is the default TCP used in the Linux kernel and recently, a patch has been made available for CUBIC implementation in ns-3. CUBIC is an optimized congestion control for high bandwidth high latency networks (also known as Long Fat Networks). In this project, the aim is to validate ns-3 CUBIC implementation by comparing the results obtained from it to those obtained by simulating Linux CUBIC. Required experience: C and C++ Bonus experience: Knowledge of CUBIC and TCP implementation in ns-3 Difficulty: Moderate Recommended Reading: ● Direct Code Execution (Link: https://www.nsnam.org/overview/projects/direct-code-execution/) ● Linux kernel code (Link: https://elixir.bootlin.com/linux/v4.4/source/net/ipv4/tcp_cubic.c) ● CUBIC Paper (Link: https://dl.acm.org/citation.cfm?id=1400105)
DuckHunt-JS
DuckHunt ported to JS and HTML5
Grokking-Deep-Learning
this repository accompanies the book "Grokking Deep Learning"
License_Plate_Detection
Repository which will contain work done related to detection of license plates
Network-Analyzer-VLabs
RPi Network Analyser Device for Virtual Labs.
Sequence_Models
A repository containing work done during learning about sequence models
Spam_Classifier
A basic spam classifier built using e using NumPy, Matplotlib, Pandas, scikit-learn and NLTK .
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.