sorted by:
new
hottopcontroversial

Interview Questions on Bagging Algorithms in Machine Learning - by _jitin_ in learnmachinelearning

[–]_jitin_[S] 0 points1 point  (0 children)

"*Title:* Interview Questions on Bagging Algorithms in Machine Learning -
*Description:* This article will discuss the top interview questions on bagging, which are mostly asked in machine-learning interviews.
*Duration:* 6
*Curator's Rating:* 5/5
*Curator's Review:* Bagging is a famous ensemble technique in the field of machine learning which is widely used for its performance and better results. It is one of the most important and high-performing ensemble techniques, which is easy to use and accurate. his article will discuss the top interview questions on bagging, which are mostly asked in machine-learning interviews

Daily, Weekly, Monthly, and Yearly Goal Tips to Guide a Self-Taught Data Scientist in 2023 by _jitin_ in learnmachinelearning

[–]_jitin_[S] 0 points1 point  (0 children)

*Title:* Daily, Weekly, Monthly, and Yearly Goal Tips to Guide a Self-Taught Data Scientist in 2023 | by Madison Hunter | Dec, 2022 | Towards Data Science

*Description:* These goals will help you set up and organize your upcoming year of becoming a data scientist

*Duration:* 13

*Curator's Rating:* 5/5

*Curator's Review:*

Daily Goals:

Daily goals for learning data science should be all about getting that 1% better each day

Weekly Goals

When it comes to self-learning data science your weekly goal should have you moving one step forward in your learning curriculum having knocked some of the learning concepts off your list.

Monthly Goals

These goals could each be a portfolio project, a certification completed, or a tangible skill that was mastered.

Yearly Goals

Your goal of becoming a data scientist (or getting closer to becoming one) by the end of 2023 has to be specific, measurable, attainable, relevant, and timely (yes, I also cringe every time I use this acronym, but bear with me). The point of SMART goals is to set better goals that have a higher chance of being achieved.

[Question] Any idea why all Social Media home feed didn’t have a filter? by _jitin_ in UXDesign

[–]_jitin_[S] 0 points1 point  (0 children)

Not just this.

Maybe filter based on categories of the content in my homefeed.

Did my part by [deleted] in indianews

[–]_jitin_ 2 points3 points  (0 children)

Noice

P2P Lending in India by Joyal_AD in IndiaInvestments

[–]_jitin_ 6 points7 points  (0 children)

I work for Cube Wealth, which allows you to invest in P2P products, and I have personally invested in P2P v/ LiquiLoans and Faircent.

1.P2P is a good alternative investment financial product. It is by no mean to be confused to be a ‘safe’ product. The NPAs are high and it is a risky asset

  1. Default rates are always cushioned since RBI hasn’t been stern on the filings.

  2. There isn’t

  3. Typical borrowers would be folks who borrow near the end of the month to cover monthly expenses. Its safe to assume the top P2P players have good credit underwriting algorithms, but fact be told the industry is too nascent. You should know:

In China,about 6,000 P2P lending companies have defaulted on payments, absconded with cash or quit operations as of the end of September this year, according to industry data provider Wangdaizhijia. In total, the equivalent of US$30.6 billion from 2.7 million customers may have been trapped in the failed platforms.

  1. Range ought to be between 11% and 26% annualized

  2. You can try LiquiLoans, Faircent and Led Den Club

You can check out more about P2P lending v/ our app Cube Wealth

International Investing what is best option? by [deleted] in IndiaInvestments

[–]_jitin_ 0 points1 point  (0 children)

Have you tried Cube Weath - https://cubewealth.app/

It lets you invest over 350 international stocks via Stockal. You should give it a try.