Back to feeds

Anonymous

I'm fresher joined at jio as sde But I'm doing android development work here Which is I'm not interested in , I'm interested in datascience any tips for me To switch the job or prepare for interviews and what projects to do in datascience Field??

See More
Anonymous

Anonymous 1

Stealth • 8m

Understand the field, strengthen statistical knowledge, learn Python and libraries, build projects, network, and prepare for interviews. Consider projects like predictive modeling, NLP, image classification, recommendation systems, and time series analysis. Persistence and continuous learning are key. And all the Best.

1 replies
Replies (1)

More like this

Recommendations from Medial

Payal Manghnani

Stealth • 6m

I want to learn these technologies guide me or give me a roadmap plan What are some popular online platforms for studying libraries like AI chatbot GPT, LLMS, and NLP .

0 replies5 likes

Jagan raj

Stealth • 21d

Entrepreneurship starts easier than you think, but success demands persistence. The journey gets tougher, with challenges that test and strengthen you. In the end, the rewards are worth it ❤️‍🔥.

0 replies3 likes
2

Varun Raghav

Stealth • 3m

My brother is a full stack developer, now switched to data analytics and data engineering giving interviews and created some projects around it, If anyone can refer please let me know

0 replies3 likes
Image Description

Deepak Tp

Stealth • 1d

I am currently doing my clg project on "Time series data classification using transformer models". the dataset is based on patient temperature data. where our project goal is to classify patients to their respective disease based on only temperature

See More
1 replies1 like
Anonymous
Image Description
Image Description

I'm fresher joined at jio as sde But I'm doing android development work here Which is I'm not interested in , I'm interested in datascience any tips for me To switch the job or prepare for interviews and what projects to do in datascience Field??

See More
20 replies11 likes
2
Image Description

Payal Manghnani

Stealth • 11d

Essential Python Topics for Data Analysts 😄👇 - Data Structures: Lists, Dictionaries, Sets, and Tuples. - NumPy: Array manipulation for numerical operations. - Pandas: Data manipulation and analysis with DataFrame. - Data Cleaning: Handling missin

See More
2 replies5 likes
1
Image Description

Pranjal Pandey

 • 

CompSci • 8m

Here are some AI tools which are useful for the startups: 1. TensorFlow and PyTorch: Open-source frameworks for building machine learning models. 2. IBM Watson: Offers AI tools and services like natural language understanding and computer vision.

See More
1 replies7 likes
4

Payal Manghnani

Stealth • 5m

Steps to Becoming a Successful Developer 1. Learn the basics: Understand the internet, computer science concepts, and a programming language. 2. Build projects: Start small, break down problems, and learn from mistakes. 3. Master version control: Le

See More
0 replies4 likes
Image Description
Image Description

Shreya Gupta

Stealth • 8m

🚀 Calling all Software Engineers! Here's how to upgrade for the AI era😶: -1. Learn AI Fundamentals: Understand ML, neural networks, and deep learning. -2. Specialize: Focus on NLP, computer vision, or reinforcement learning. -3. Practice: Build AI

See More
8 replies7 likes
1

Vinod Krishnan

Stealth • 2m

I've been working on an idea for a platform designed to help developers and students collaborate on IT projects. The concept is simple: users can post project ideas (like building a website or developing an app) and list the tech stack they need help

See More
0 replies2 likes
1

Download the medial app to read full posts, comements and news.