Data Science & Machine Learning
Open in Telegram
Join this channel to learn data science, artificial intelligence and machine learning with funny quizzes, interesting projects and amazing resources for free For collaborations: @love_data
Show more
Network:📈 Analytical overview of Telegram channel Data Science & Machine Learning
Channel Data Science & Machine Learning (@datasciencefun) in the English language segment is an active participant. Currently, the community unites 77 386 subscribers, ranking 1 996 in the Education category and 3 950 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 77 386 subscribers.
According to the latest data from 03 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 345 over the last 30 days and by 14 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.54%. Within the first 24 hours after publication, content typically collects 1.07% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 965 views. Within the first day, a publication typically gains 826 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
- Thematic interests: Content is focused on key topics such as learning, accuracy, distribution, panda, dataset.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Join this channel to learn data science, artificial intelligence and machine learning with funny quizzes, interesting projects and amazing resources for free
For collaborations: @love_data”
Thanks to the high frequency of updates (latest data received on 04 September, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.
77 386
Subscribers
+1424 hours
+1047 days
+34530 days
Posts Archive
𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 𝘄𝗶𝘁𝗵 𝗧𝗵𝗲𝘀𝗲 𝟱 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗪𝗲𝗯𝘀𝗶𝘁𝗲𝘀!😍
Want to boost your data skills without spending a dime?
These FREE SQL courses will take you from beginner to expert, whether you’re an aspiring Data Analyst, Data Scientist, or Backend Developer!📊
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4l2q2Ay
Start Learning Today ✅️
DATA SCIENCE JOBS ARE EXPLODING! 🤯💸
• Data Scientist: $118,399
• Data Analyst: $85,000
• Machine Learning Engineer: $123,117
• Business Intelligence Analyst: $97,000
• AI Researcher: $99,518
Top Ways Land a High-Paying Data Science Job:
1. Master Python & SQL
• Learn Pandas, NumPy, and Matplotlib.
• SQL is essential for handling databases.
2. Take Online Data Science Courses
• Platforms like Coursera, Udacity, and edX offer top courses.
• Certifications from Google or IBM add value.
3. Build a Strong Portfolio
• Work on real-world projects (Kaggle competitions, dashboards).
• Share projects on GitHub and LinkedIn.
4. Gain Experience with Internships & Freelance Work
• Apply for analyst roles or freelance on Upwork.
• Contribute to open-source projects.
5. Network & Stay Ahead
• Join data science meetups & LinkedIn groups.
• Follow industry leaders like Andrew Ng & Hadley Wickham.
Extra Tip: By Specializing in deep learning or NLP, you will stand out!
𝗜𝗕𝗠 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍
Top Free Courses You Can Take Today
1️⃣ Data Science Fundamentals
2️⃣ AI & Machine Learning
3️⃣ Python for Data Science
4️⃣ Cloud Computing & Big Data
𝐋𝐢𝐧𝐤 👇:-
https://pdlink.in/41Hy2hp
Enroll For FREE & Get Certified 🎓
𝗣𝗼𝘄𝗲𝗿𝗕𝗜 𝗧𝗼𝗽 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍
Here are two FREE Power BI courses that will teach you everything you need to know!
1️⃣ Microsoft Learn: Power BI Training
2️⃣ Simplilearn: Power BI for Beginners
𝐋𝐢𝐧𝐤 👇:-
https://pdlink.in/4hptC4z
Enroll For FREE & Get Certified 🎓
Free MasterClass!
Learn Full Stack Development with Free Certification!
Only limited Seats Left ◀️
Register Now for Free: 👇
https://openinapp.link/azgmx
Like for more free resources ❤️
ENJOY LEARNING 👍👍
The New Data Scientist of 2025:
- Business background
- Self-educated
- Knows enough SQL
- Knows enough Python
- Knows enough machine learning
- Uses Microsoft Excel
- Uses AI to be productive
- Title isn't "Data Scientist"
𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 😍
Know The Roadmap To a Successful Data Science Career
- A Guide to Career in Data Science : Tools, Skills and Career Fundamentals.
- Jumpstart Your Data Science Career with Essential Tools and Skills
Eligibility :- Students,Freshers & Woking Professionals
𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐅𝐨𝐫 𝐅𝐑𝐄𝐄 👇:-
https://pdlink.in/41GuGex
(Limited Slots ..HurryUp🏃♂️ )
𝐃𝐚𝐭𝐞 & 𝐓𝐢𝐦𝐞:- 22nd March, 2025, at 7 PM
Learn Data Science in 2025
𝟭. 𝗔𝗽𝗽𝗹𝘆 𝗣𝗮𝗿𝗲𝘁𝗼'𝘀 𝗟𝗮𝘄 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗝𝘂𝘀𝘁 𝗘𝗻𝗼𝘂𝗴𝗵 📚
Pareto's Law states that "that 80% of consequences come from 20% of the causes".
This law should serve as a guiding framework for the volume of content you need to know to be proficient in data science.
Often rookies make the mistake of overspending their time learning algorithms that are rarely applied in production. Learning about advanced algorithms such as XLNet, Bayesian SVD++, and BiLSTMs, are cool to learn.
But, in reality, you will rarely apply such algorithms in production (unless your job demands research and application of state-of-the-art algos).
For most ML applications in production - especially in the MVP phase, simple algos like logistic regression, K-Means, random forest, and XGBoost provide the biggest bang for the buck because of their simplicity in training, interpretation and productionization.
So, invest more time learning topics that provide immediate value now, not a year later.
𝟮. 𝗙𝗶𝗻𝗱 𝗮 𝗠𝗲𝗻𝘁𝗼𝗿 ⚡
There’s a Japanese proverb that says “Better than a thousand days of diligent study is one day with a great teacher.” This proverb directly applies to learning data science quickly.
Mentors can teach you about how to build a model in production and how to manage stakeholders - stuff that you don’t often read about in courses and books.
So, find a mentor who can teach you practical knowledge in data science.
𝟯. 𝗗𝗲𝗹𝗶𝗯𝗲𝗿𝗮𝘁𝗲 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 ✍️
If you are serious about growing your excelling in data science, you have to put in the time to nurture your knowledge. This means that you need to spend less time watching mindless videos on TikTok and spend more time reading books and watching video lectures.
Join for more: https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
ENJOY LEARNING 👍👍
𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗼𝗳𝘁 𝗦𝗸𝗶𝗹𝗹𝘀 𝗳𝗼𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗦𝘂𝗰𝗰𝗲𝘀𝘀!😍
Want to stand out in your career?
Soft skills are just as important as technical expertise! 🌟
Here are 3 FREE courses to help you communicate, negotiate, and present with confidence
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/41V1Yqi
Tag someone who needs this boost! 🚀
Prepare for GATE: The Right Time is NOW!
GeeksforGeeks brings you everything you need to crack GATE 2026 – 900+ live hours, 300+ recorded sessions, and expert mentorship to keep you on track.
What’s inside?
✔ Live & recorded classes with India’s top educators
✔ 200+ mock tests to track your progress
✔ Study materials - PYQs, workbooks, formula book & more
✔ 1:1 mentorship & AI doubt resolution for instant support
✔ Interview prep for IITs & PSUs to help you land opportunities
Learn from Experts Like:
Satish Kumar Yadav – Trained 20K+ students
Dr. Khaleel – Ph.D. in CS, 29+ years of experience
Chandan Jha – Ex-ISRO, AIR 23 in GATE
Vijay Kumar Agarwal – M.Tech (NIT), 13+ years of experience
Sakshi Singhal – IIT Roorkee, AIR 56 CSIR-NET
Shailendra Singh – GATE 99.24 percentile
Devasane Mallesham – IIT Bombay, 13+ years of experience
Use code UPSKILL30 to get an extra 30% OFF (Limited time only)
📌 Enroll for a free counseling session now: https://gfgcdn.com/tu/UI2/
𝟳 𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍
Master Data Analytics in 2025!
These 7 FREE courses will help you master Power BI, Excel, SQL, and Data Fundamentals!
𝐋𝐢𝐧𝐤 👇:-
https://pdlink.in/4iMlJXZ
Enroll For FREE & Get Certified 🎓
