shauryanegi
Dilligent in Designing and developing machine learning and deep learning systems. Excellent understanding of business operations and analytics tools.
New Delhi, India
Pinned Repositories
Network-Intrusion-Detection-System
With the enormous growth of computer networks usage and the huge increase in the number of applications running on top of it, network secrity is becoming increasingly more important. All the computer systems suffer from security vulnerabilities which are both technically difficult and economically costly to be solved by the manufacturers. Therefore, the role of Intrusion Detection Systems (IDSs), as special purpose devices to detect anomalies and attacks in the network, is becoming more important.
Segmentation-Credit-Card-Customers
This case requires trainees to develop a customer segmentation to define marketing strategy. The sample dataset summarizes the usage behavior of about 9000 active credit card holders during the last 6 months. The file is at a customer level with 18 behavioral variables.
TextMining-AnalyzingonlineJobPostings
The project seeks to understand the overall demand for labour in the Armenian online job market from the 19,000 job postings from 2004 to 2015 posted on CareerCenter, an Armenian human resource portal.
Bank-Reviews-Complaints-Analysis
Central banks collecting information about customer satisfaction with the services provided by different bank. Also collects the complaints. Bank users give ratings and write reviews about services on central bank websites. These reviews and ratings help to banks evaluate services provided and take necessary to action improve customer service. While ratings are useful to convey the overall experience, they do not convey the context which led a reviewer to that experience.
Mushroom-Classification
This dataset includes descriptions of hypothetical samples corresponding to 23 species of gilled mushrooms in the Agaricus and Lepiota Family Mushroom drawn from The Audubon Society Field Guide to North American Mushrooms (1981). Each species is identified as definitely edible, definitely poisonous, or of unknown edibility and not recommended. This latter class was combined with the poisonous one. The Guide clearly states that there is no simple rule for determining the edibility of a mushroom; no rule like "leaflets three, let it be'' for Poisonous Oak and Ivy.
Sarcasm-Detection-ML-DL
News Headlines Dataset For Sarcasm Detection
novartis-hack-challenge
This was a small dataset where we had to predict if a cyberattack will happen or not for a customer. Main focus is on EDA and Data Visualisation. This challenge was sponspored by HackerEarth.
-100Devs
-100Devs-Exercises
Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
shauryanegi's Repositories
shauryanegi/Leetcode-Exercises
Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub](https://github.com/QasimWani/LeetHub)
shauryanegi/paint-github-subscription-57bdd
shauryanegi/-100Devs-Exercises
shauryanegi/github-slideshow
A robot powered training repository :robot:
shauryanegi/shauryanegi
Config files for my GitHub profile.
shauryanegi/awesome-mlops
:sunglasses: A curated list of awesome MLOps tools
shauryanegi/deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
shauryanegi/-100Devs
shauryanegi/Git-Test
shauryanegi/Arya.AI-DataScienceChallenge
shauryanegi/Sarcasm-Detection-ML-DL
News Headlines Dataset For Sarcasm Detection
shauryanegi/Mushroom-Classification
This dataset includes descriptions of hypothetical samples corresponding to 23 species of gilled mushrooms in the Agaricus and Lepiota Family Mushroom drawn from The Audubon Society Field Guide to North American Mushrooms (1981). Each species is identified as definitely edible, definitely poisonous, or of unknown edibility and not recommended. This latter class was combined with the poisonous one. The Guide clearly states that there is no simple rule for determining the edibility of a mushroom; no rule like "leaflets three, let it be'' for Poisonous Oak and Ivy.
shauryanegi/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
shauryanegi/ZTM-DS-and-Algo-Python
Contains all the code samples from the Zero to Mastery : Master the Coding Interview - Data Structures + Algorithms course by Andrei Neagoie, in Python.
shauryanegi/Task_2
shauryanegi/paint-github-e8716
shauryanegi/tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
shauryanegi/Deep-Neural-Networks
Course 2 by Andrew Ng. This will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results.
shauryanegi/annotated_research_papers
This repo contains annotated research papers that I found really good and useful
shauryanegi/Neural-Networks
A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. In this sense, neural networks refer to systems of neurons, either organic or artificial in nature. Neural networks can adapt to changing input; so the network generates the best possible result without needing to redesign the output criteria.
shauryanegi/zero-to-mastery-ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.
shauryanegi/tpu
Reference models and tools for Cloud TPUs.
shauryanegi/Convolution-Neural-Networks
shauryanegi/CNN
shauryanegi/test
shauryanegi/MishManners
shauryanegi/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
shauryanegi/statsmodels
Statsmodels: statistical modeling and econometrics in Python
shauryanegi/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
shauryanegi/Data-Analysis