My Gift for You 🎁! ₹20,000 Worth of (Data Science with Machine Learning Course) in Tamil

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Want to become a Data Analyst, Data Scientist, or GenAI Engineer?
Service Enquiry Form : https://www.proitbridge.com/contact-us-2/
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🔗 Access Course Materials:
https://drive.google.com/drive/folders/1n71gbIoaXWjrDBSztNMsvGNx8BmHyb4c

📲 Connect with Me:
✔ Instagram: https://www.instagram.com/john_the_ai_coach/
✔ LinkedIn: https://www.linkedin.com/in/johngabrielcareerbuildingcoach?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=android_app
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Learn Data Science, Machine Learning, Python, Statistics, AI, and more — all in TAMIL, from AI Coach John.
This 20-hour comprehensive course covers everything from Python basics to real-world ML deployment, designed for beginners, students, and professionals.

🔥 What You’ll Learn:
✅ Python Programming (Loops, Functions, OOP, Libraries)
✅ Data Cleaning & Data Analysis using Pandas
✅ Data Visualization using Matplotlib & Seaborn
✅ Statistics & Hypothesis Testing for Data Science
✅ Machine Learning Algorithms – Linear & Logistic Regression, K-Means, etc.
✅ Model Deployment using Streamlit
✅ Interview Preparation, Career Guidance & Real-World Tips

🎯 Who is this course for?
● Beginners with no coding background
● College students & freshers exploring Data Science
● Working professionals looking to transition into AI & ML
● Tamil-speaking learners who prefer regional learning

💻 Tools Used:

✅Python 3.x
✅Jupyter Notebook
✅Pandas, Numpy, Matplotlib, Seaborn
✅Streamlit (for ML deployment)

📚 Timestamps:
00:00 – Introduction
03:58 – My Gift for You
10:36 – Agenda of the Course
14:20 – Who is AI Coach John?
31:29 – Python Installation and Exploration
46:58 – Python Basics + Data Types
1:05:32 – For Loop & While Loop
1:18:30 – Conditional Statements and Functions
2:03:35 – Python Libraries – Complete Explanation in Tamil
2:43:48 – Recap + Python Data Structures
4:30:29 – Data Analyst Tool – Pandas Deep Dive
6:35:48 – Data Cleaning Techniques
8:12:22 – Data Visualization
10:22:40 – Statistics
11:30:45 – Hypothesis and Statistical Testing
13:24:09 – Machine Learning Introduction
13:59:36 – Linear Regression in Tamil
15:34:20 – Logistic Regression
16:02:06 – Streamlit Deployment
17:16:45 – K-Means Clustering
18:11:51 – Conclusion (Final Words)
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📢 Don’t forget to Like 👍, Comment 💬 & Subscribe 🔔 for more career insights!
📤 Share this podcast with friends and colleagues who want to break into the world of data science and succeed in the future job market.

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