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Here I will share all the project details. Project Name: 1. Boston House Price Prediction. Done 2. Movies recommendation system. Done 3. Flipkart review scraper project. Done

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Jupyter notebook in vsc??

Cmd se install kar lo

Baaki time lagega na

NO WE NEED PERMISSION TO ACCESS THE FILE

I want to learn web development where should i start

CHESS GAME PROJECT WITH AI Available If anyone wants projects for college msg me

Aisa karte h 2-3 din python basics ko kar sakte ..phir start Kar lenge cybersecurity aur saath mein python bhi padh sake h ... what say bro

Company name: Cloudera Role: Data Analyst Topic: rank vs dense rank, one hot encoding , label encoding, Excel, PowerBI, Tableau 1. What is the difference between the RANK() and DENSE_RANK() functions? The RANK() function in the result set defines the rank of each row within your ordered partition. If both rows have the same rank, the next number in the ranking will be the previous rank plus a number of duplicates. If we have three records at rank 4, for example, the next level indicated is 7. The DENSE_RANK() function assigns a distinct rank to each row within a partition based on the provided column value, with no gaps. If we have three records at rank 4, for example, the next level indicated is 5. 2. Explain One-hot encoding and Label Encoding. How do they affect the dimensionality of the given dataset? One-hot encoding is the representation of categorical variables as binary vectors. Label Encoding is converting labels/words into numeric form. Using one-hot encoding increases the dimensionality of the data set. Label encoding doesn’t affect the dimensionality of the data set. One-hot encoding creates a new variable for each level in the variable whereas, in Label encoding, the levels of a variable get encoded as 1 and 0. 3. What is the shortcut to add a filter to a table in EXCEL? The filter mechanism is used when you want to display only specific data from the entire dataset. By doing so, there is no change being made to the data. The shortcut to add a filter to a table is Ctrl+Shift+L. 4. What is DAX in Power BI? DAX stands for Data Analysis Expressions. It's a collection of functions, operators, and constants used in formulas to calculate and return values. In other words, it helps you create new info from data you already have. 5. Define shelves and sets in Tableau? Shelves: Every worksheet in Tableau will have shelves such as columns, rows, marks, filters, pages, and more. By placing filters on shelves we can build our own visualization structure. We can control the marks by including or excluding data. Sets: The sets are used to compute a condition on which the dataset will be prepared. Data will be grouped together based on a condition. Fields which is responsible for grouping are known assets. For example – students having grades of more than 70%.

Yes

I have a datascience ml project. Any project specialist here to help me?

Guys, if you found it informative, please share it with your friends.

6 πƒπšπ­πš π’πœπ’πžπ§πœπž 𝐄𝐧𝐝 𝐭𝐨 𝐄𝐧𝐝 𝐏𝐫𝐨𝐣𝐞𝐜𝐭! Best way to learn step by step and mention on Resume!πŸ”₯πŸ”₯ βœ… MathGPT Application - LLM Project https://www.youtube.com/watch?v=HfkvVZ8O7GU βœ… Keyword Extractor https://www.youtube.com/watch?si=8Ntt_DA_kKcy09ne&v=zWUPMcwjFtw&feature=youtu.be βœ… Real Time Face Detection Deep learning Project https://www.youtube.com/watch?v=3I844BqbacE&t=5748s βœ… Text to Speech Recognition https://www.youtube.com/watch?si=pRGGp9-VndliP4Oi&v=LFXXTgc85ew&feature=youtu.be βœ… Insurance Prediction [ Industry Standard Pipeline ] https://www.youtube.com/playlist?list=PLxV_QpaSutlG0z53KLLxZPzKH5XvrH8X5&si=p4rahOfFWxCx3Pjk βœ… MLOps Integration Project https://www.youtube.com/watch?si=6iNnxOJYrBKPyQz7&v=ssHxFlCz1nk&feature=youtu.be βœ… Machine Learning Project https://www.youtube.com/watch?si=hMIm0ikdSdR9IyB3&v=81ls4a6Rdu0&feature=youtu.be

Yes

I am interested

end to end (as of now any domain so that I can learn )

Can any one share the data science freshers resume

previously

Can you suggest some project ideas based on image recognition or data extraction using Machine Learning and Deep learning

Yes?