Data Gamer

@merishabh_singh interested

🚨 Wipro is #hiring for Data Analyst role: Eligibility: Graduate Role: Data Analyst CTC: 3-4 LPA Work: Interpret data & convert it into meaningful business insights. #connect me for career opportunities.

@bigdatasumit SQL Superstar

I am giving you free access to my complete 50 Days SQL Superstar Program. The earlier SQL playlist helped millions, but interviews today need more depth. So I am rebuilding everything from scratch to help you crack top product based companies. I am also organising it in one clean portal with daily videos, notes, datasets, quizzes and certificates. 13 days are already live. To get the enrolment link just: - Follow me so that I can DM you - Like and Retweet - Comment "SQL Superstar" Free access available for a limited time. These 50 days can change your life! #sql #dataengineering #databases

@nitesh_singh5 interested

Role - Software Engineer Intern Est Stipend - 25K-35K per month Experience - Freshers - Problem-solving mindset - You are flexible and like working in a changing organization. Let us know if you are Interested 👇

@Python_Dv A) - 1000

🤔🚀 Comment your answers below! 👇

This CV helped many people getting a interview calls from Google, Amazon, Microsoft, Netflix, Apple and others. I am sharing the exact ATS editable templates with you Retweet & Reply "CV" to get it for free [Must be following] so that I can DM you [Only for First 999 People]

@Python_Dv A) 2 In Python, True = 1 and False = 0 › True + True + False = 1 + 1 + 0 = 2

🤔🚀 Comment your answers below! 👇

Applied Machine Learning - Cornell CS5785 "Starting from the very basics, covering all of the most important ML algorithms and how to apply them in practice. Executable Jupyter notebooks (and as slides)". 80 videos!!

Kickstart Your Data Science Career in 2024-25: for Beginners Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib) youtube.com/watch?v=LHBE6Q…

2. Machine Learning with Python Topics: • ML problem principles • Implement & analyze models • Choosing suitable models for different apps • ML project implementation: Training, validation, tuning, and feature engineering 🔗 edx.org/learn/machine-…

Python Numpy Cheat Sheet Learn more here: ailearninghub.io