Скачать или смотреть Python Libraries for Data Science in Tamil | Data Science Tamil

In this Python Libraries for Data Science in Tamil Tutorial, I explained the basics of data science, why Python is the most popular language for it, and introduced the most important Python libraries used in data science.

🔥If you want to master Pandas step by step in Tamil, check out my complete Pandas playlist. start from Episode 1 and grow your skills like a pro! :    • Pandas Full Course Python | Python Pandas ...  

🔥If you want to master Numpy step by step in Tamil, check out my complete Numpy playlist. start from Episode 1 and grow your skills like a pro! :    • Numpy Tutorial for beginners in Tamil | Py...  

🔥If you want to master Tensorflow step by step in Tamil, check out my complete Tensorflow playlist. start from Episode 1 and grow your skills like a pro! :    • Tensorflow Tutorial for beginners in Tamil...  

✍In this tutorial, you will learn:

✅NumPy → For fast numerical computations and array operations.

✅Pandas → For handling, cleaning, and analyzing data easily.

✅Matplotlib → For creating beautiful basic plots and visualizations.

✅Seaborn → For statistical and advanced visualizations like heatmaps and pairplots.

✅Scikit-learn → For building simple machine learning models like regression and classification.

✅SciPy → For advanced scientific and technical computations.

✅Statsmodels → For statistical modeling and hypothesis testing.

✅TensorFlow → For building machine learning and deep learning models.

✅PyTorch → For deep learning and neural network development.

00:00 Introduction: python libraries for data science in tamil
00:27 Data Science Library 1
03:09 Data Science Library 2
04:36 Data Science Library 3
06:10 Data Science Library 4
08:48 Data Science Library 5
11:41 Data Science Library 6
13:20 Data Science Library 7
14:49 Data Science Library 8
16:49 Data Science Library 9
18:52 Next Video

✨This beginner-friendly tutorial is perfect if you are just starting your data science journey and want a clear understanding of the Python tools used in real-world projects.

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