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𝐒𝐰𝐢𝐠𝐠𝐲 - 𝐖𝐨𝐫𝐤 𝐅𝐫𝐨𝐦 𝐇𝐨𝐦𝐞!
Position: Data Scientist
Qualifications: Bachelor's or Master's degree
Salary: 10 - 17 LPA (Expected)
Experience: 0 - 3 (Years)
Location: Work From Home (Remote)

📌Apply Now: https://careers.swiggy.com/#/careers?src=linkedin&p=eyJwYWdlVHlwZSI6ImpkIiwiY3ZTb3VyY2UiOiJsaW5rZWRpbiIsInJlcUlkIjoxODIyMSwicmVxdWVzdGVyIjp7ImlkIjoibGlua2VkaW4iLCJjb2RlIjpudWxsLCJuYW1lIjoiIn19&reqid=18221

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#jobs #internships

Wells Fargo is hiring Analytics Associate 🚀

Minimum Experience : 6 Months
Location : Bangalore

Apply link : https://tnl2.jometer.com/v2/job?jz=581jn9bc5bfbbcfb16767a59b21e8e7b50596EEAJQAYBAACQAAAAAAAQ&utm_source=joveo&publisher=Linkedin%20Flat%20bid

Swiggy is hiring Data Scientist 🚀

Experience : 0-3 Years
Location : Bangalore

Apply link : https://careers.swiggy.com/#/careers?src=linkedin&p=eyJwYWdlVHlwZSI6ImpkIiwiY3ZTb3VyY2UiOiJsaW5rZWRpbiIsInJlcUlkIjoxODIyMSwicmVxdWVzdGVyIjp7ImlkIjoibGlua2VkaW4iLCJjb2RlIjpudWxsLCJuYW1lIjoiIn19&reqid=18221

👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226

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NTT Data hiring Gen AI Experts.

Experience: 2-15 years

Location: Bangalore/ Hyderabad/Pune/ Noida

Skills Required: Data Science, AIML,ML, NLP, Gen AI, Python, Azure/GCP,

Interested can share resume to anandb.s@nttdata.com

👉KPMG is Hiring

Role: Data Scientist

Qualification: Any Graduate

Salary: Upto 12 LPA

Apply Link - https://in.linkedin.com/jobs/view/data-scientist-at-kpmg-india-4181758605?trk=public_jobs_topcard-title

Meesho is hiring Data Scientist 🚀

Experience : 1+ Year
Location : Bangalore

Apply link : https://meesho.io/jobs/data-scientist--i?id=81b0947f-5a1e-4a51-93d5-bd63d954cf75

Last month, 12 candidates were placed at Galytix and now AccioJob is back with another walk-in drive with Galytix! ✨

💼 Position: Data Analyst Intern
💰 CTC: INR 20k/month for 6 months and then 5-6 LPA
📍 Work Location: Remote or Gurgaon (Based on discussion with company)

Don't miss out! 🚀

👉🏻 For more details, eligibility, apply now: https://links.acciojob.com/4gIw4mh

👨‍💻 𝟓 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐒𝐤𝐢𝐥𝐥𝐬 𝐄𝐯𝐞𝐫𝐲 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 𝐍𝐞𝐞𝐝𝐬 𝐢𝐧 𝐚𝐧 𝐎𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧 📊

🔸𝐒𝐮𝐩𝐞𝐫𝐯𝐢𝐬𝐞𝐝 & 𝐔𝐧𝐬𝐮𝐩𝐞𝐫𝐯𝐢𝐬𝐞𝐝 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠
You need to understand two main types of machine learning: supervised learning (used for predicting outcomes, like whether a customer will buy a product) and unsupervised learning (used to find patterns, like grouping customers based on buying behavior).

🔸𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠
This is about turning raw data into useful information for your model. Knowing how to clean data, fill missing values, and create new features will improve the model's performance.

🔸𝐄𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐧𝐠 𝐌𝐨𝐝𝐞𝐥𝐬
It’s important to know how to check if a model is working well. Use simple measures like accuracy (how often the model is right), precision, and recall to assess your model’s performance.

🔸𝐅𝐚𝐦𝐢𝐥𝐢𝐚𝐫𝐢𝐭𝐲 𝐰𝐢𝐭𝐡 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬
Get to know basic machine learning algorithms like Decision Trees, Random Forests, and K-Nearest Neighbors (KNN). These are often used for solving real-world problems and can help you choose the best approach.

🔸𝐃𝐞𝐩𝐥𝐨𝐲𝐢𝐧𝐠 𝐌𝐨𝐝𝐞𝐥𝐬
Once you’ve built a model, it’s important to know how to use it in the real world. Learn how to deploy models so they can be used by others in your organization and continue to make decisions automatically.

🔍 𝐏𝐫𝐨 𝐓𝐢𝐩: Keep practicing by working on real projects or using online platforms to improve these skills!

Data Science & Machine Learning Resources: https://topmate.io/coding/914624

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Hope this helps you 😊

#ai #datascience

Microsoft hiring for freshers Applied Science Intern!!

https://jobs.careers.microsoft.com/global/en/job/1801106/Applied-Sciences-Intern

👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226

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Reflecting on a memorable interview experience with Kotak Mahindra Bank for the SDE-2 (Data Engineering) role! 🌟 It comprised four stimulating rounds, featuring two bar raiser and two internal rounds.

Round 1: Delved deep into DS & Algo, SQL data modeling, and Data Warehousing, setting the stage for a robust discussion.

Round 2: Focused on Pipeline designing and Spark, challenging me to showcase my skills in designing efficient data pipelines.

Round 3: Dived into SQL and Spark optimization, where I had the opportunity to demonstrate my expertise in enhancing performance.

Round 4: A dynamic mix of everything, including streaming and writing ETL for various scenarios, truly putting my skills to the test.

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Any person learning deep learning or artificial intelligence in particular, know that there are ultimately two paths that they can go:

1. Computer vision
2. Natural language processing.

I outlined a roadmap for computer vision I believe many beginners will find helpful.

Artificial Intelligence 👇👇

1. What are the uses of using RNN in NLP?

The RNN is a stateful neural network, which means that it not only retains information from the previous layer but also from the previous pass. Thus, this neuron is said to have connections between passes, and through time.
For the RNN the order of the input matters due to being stateful. The same words with different orders will yield different outputs.
RNN can be used for unsegmented, connected applications such as handwriting recognition or speech recognition.

2. How to remove values to a python array?

Ans: Array elements can be removed using pop() or remove() method. The difference between these two functions is that the former returns the deleted value whereas the latter does not.

3. What are the advantages and disadvantages of views in the database?

Answer: Advantages of Views:
As there is no physical location where the data in the view is stored, it generates output without wasting resources.
Data access is restricted as it does not allow commands like insertion, updation, and deletion.
Disadvantages of Views:
The view becomes irrelevant if we drop a table related to that view.
Much memory space is occupied when the view is created for large tables.

4. Describe the Difference Between Window Functions and Aggregate Functions in SQL.

The main difference between window functions and aggregate functions is that aggregate functions group multiple rows into a single result row; all the individual rows in the group are collapsed and their individual data is not shown. On the other hand, window functions produce a result for each individual row. This result is usually shown as a new column value in every row within the window.

5. What is Ribbon in Excel and where does it appear?

The Ribbon is basically your key interface with Excel and it appears at the top of the Excel window. It allows users to access many of the most important commands directly. It consists of many tabs such as File, Home, View, Insert, etc. You can also customize the ribbon to suit your preferences. To customize the Ribbon, right-click on it and select the “Customize the Ribbon” option.

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