Python Tutorial for Data Science/Machine Learning in Tamil - Full Course for Beginners ( 4 hours)
65.8 هزار بار بازدید -
3 سال پیش
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This video is a 4
This video is a 4 hour 44 minute long tutorial in Tamil on Python for data science and machine learning. It is intended for beginners.
The video covers a wide range of topics, including:
Jupyter notebook basics
NumPy arrays and operations
Data visualization with Matplotlib
Pandas dataframes
Machine learning algorithms like linear regression, logistic regression, K-Nearest Neighbors, Support Vector Machines, Decision Trees, K-Means Clustering, Principal Component Analysis and Neural Networks.
The instructor goes through each topic with code examples and detailed explanations. He also provides challenges and quizzes to help viewers practice what they have learned.
Overall, this video seems like a comprehensive and well-organized resource for anyone who wants to learn Python for data science and machine learning from scratch.
Here are some specific details from the video:
The instructor uses Jupyter notebook to run Python code and show the results.
He covers how to create NumPy arrays and perform various operations on them, such as slicing, indexing, and mathematical calculations.
He shows how to use Matplotlib to create different types of data visualizations, such as line plots, scatter plots, and histograms.
He introduces Pandas dataframes and demonstrates how to use them for data manipulation and analysis.
He explains various machine learning algorithms, including linear regression, logistic regression, K-Nearest Neighbors, Support Vector Machines, Decision Trees, K-Means Clustering, Principal Component Analysis and Neural Networks.
He provides code examples for each algorithm and explains how to interpret the results.
He also includes challenges and quizzes to help viewers practice what they have learned.
The video covers a wide range of topics, including:
Jupyter notebook basics
NumPy arrays and operations
Data visualization with Matplotlib
Pandas dataframes
Machine learning algorithms like linear regression, logistic regression, K-Nearest Neighbors, Support Vector Machines, Decision Trees, K-Means Clustering, Principal Component Analysis and Neural Networks.
The instructor goes through each topic with code examples and detailed explanations. He also provides challenges and quizzes to help viewers practice what they have learned.
Overall, this video seems like a comprehensive and well-organized resource for anyone who wants to learn Python for data science and machine learning from scratch.
Here are some specific details from the video:
The instructor uses Jupyter notebook to run Python code and show the results.
He covers how to create NumPy arrays and perform various operations on them, such as slicing, indexing, and mathematical calculations.
He shows how to use Matplotlib to create different types of data visualizations, such as line plots, scatter plots, and histograms.
He introduces Pandas dataframes and demonstrates how to use them for data manipulation and analysis.
He explains various machine learning algorithms, including linear regression, logistic regression, K-Nearest Neighbors, Support Vector Machines, Decision Trees, K-Means Clustering, Principal Component Analysis and Neural Networks.
He provides code examples for each algorithm and explains how to interpret the results.
He also includes challenges and quizzes to help viewers practice what they have learned.
3 سال پیش
در تاریخ 1399/11/03 منتشر شده
است.
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