MindWave is an open-source project designed for beginners to learn about data science, machine learning, deep learning, and reinforcement learning algorithms using Python. The project offers a platform for implementing relevant algorithms, with open-source tools and libraries.
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Analysis to identify and buy the best books for data science in 3 levels 1)doing exploratory analysis on existing data, 2) Doing clustering analysis and 3) scrapping reviews to build my own dataset from the shopping websites and derive insights #702
Is your feature request related to a problem? Please describe.
As a Data Science enthusiast I often wonder whether I need to buy books to expand my knowledge and if so what are the best books to buy, what are the parameters to consider, and soon. How cool would it be to explore the data myself by using the art of data analytics to get insights on the books available for data science!
Describe the solution you'd like
I would like to do data analysis on the books available in order to get insights on the books I need to buy considering different parameters. Explaining more in details I would like to do the analysis in 3 levels :
1 -> Exploratory data analysis on available data and answering questions like book expense vs quality, etc.
2 -> Cluster Analysis of book titles
3 -> Scrapping the data from the reviews and using an advanced text summarization model like BERT, etc.
Describe alternatives you've considered
No response
Additional context
Please assign this task to me under GSSOC '23, I would love to work on it.
Code of Conduct
[X] I agree to follow this project's Code of Conduct
Is your feature request related to a problem? Please describe.
As a Data Science enthusiast I often wonder whether I need to buy books to expand my knowledge and if so what are the best books to buy, what are the parameters to consider, and soon. How cool would it be to explore the data myself by using the art of data analytics to get insights on the books available for data science!
Describe the solution you'd like
I would like to do data analysis on the books available in order to get insights on the books I need to buy considering different parameters. Explaining more in details I would like to do the analysis in 3 levels : 1 -> Exploratory data analysis on available data and answering questions like book expense vs quality, etc. 2 -> Cluster Analysis of book titles
3 -> Scrapping the data from the reviews and using an advanced text summarization model like BERT, etc.
Describe alternatives you've considered
No response
Additional context
Please assign this task to me under GSSOC '23, I would love to work on it.
Code of Conduct