Commudle
Commudle
CommunitiesBuildsEventsPricingJobs
Cover image
Akash Sharma

Akash Sharma

LOOKING FOR WORK

@Akasharma007

Data Analyst

Ghaziabad, Uttar Pradesh, India

1 Followers 9 Following
data analyst python sql excel web development dsa problem solving data science
About Content Work History Builds Attended Events Communities About
Playing with data with integrated AI.  
Content
Amazon Stock Prediction
machine learning
lstm
ai
amazon stock price prediction model
Amazon Stock Prediction

Amazon Stock Prediction

Created a model which is based on ML LSTM. It's accuracy is 80% to 90%

Work History

Data science intern

CodeAlpha

Jul 2024 -  Present

Ghaziabad

Builds
Stock Prediction Model

Stock Prediction Model

Jul 30th, 2024

Akash Sharma
Akash Sharma

3

Attended Events

7

Sep

I/O Extended Gurugram 2024

GDG Gurugram

GDG Gurugram

4

Aug

Google IO Extended

GDG Noida

GDG Noida

20

Jul

Cloud Yatra

GDG Cloud Noida

GDG Cloud Noida

Communities (15)
GDG New Delhi

GDG New Delhi

56683 members

GDG Cloud New Delhi

GDG Cloud New Delhi

50095 members

GDG On Campus Amity University, Noida

GDG On Campus Amity University, Noida

1300 members

CDN Commudle Developer Network

CDN Commudle Developer Network

4160 members

GDG Noida

GDG Noida

37734 members

GDG Gurugram

GDG Gurugram

15958 members

View More (9)
Commudle
Connect with experts and grow with communities.
Google for Startups 2022Commudle is gdpr compliantCommudle is Iso 27001
  • Home
  • About
  • Features
  • Pricing
  • Documentation
  • Student Community Plan
  • Non Profit Community Plan
  • Hackathon Management Platform
  • Paid Ticketing
  • Communities
  • Events
  • Hackathons
  • Speakers
    • Call for Speakers
  • Labs
  • Builds
  • Experts
  • Newsletters
  • Blogs
  • Jobs
  • The Developer Ecosystem Blueprint
  • For DevRel Agencies
  • Experts Program
  • Case Studies
  • Login
  • Create Account
  • Privacy Policy
  • Terms and Conditions
  • Contact Us
  • Refund & Cancellation Policy
  • All Policies
  • Compliances
  • Brand Guidelines
Made with Angular, Ruby on Rails, Postgres, Redis and Love