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PYTHON - EDA & Project Guide | Machine Learning Practices | Session - 3 

Parampreet Singh
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21 окт 2024

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Комментарии : 10   
@Adaa512
@Adaa512 4 месяца назад
These recordings are extremely helpful💫💫
@Param3021
@Param3021 4 месяца назад
Thank you 😊
@shanmugamn920
@shanmugamn920 4 месяца назад
Good explanation broo 😊😊🎉🎉❤
@Param3021
@Param3021 4 месяца назад
Thank you!
@thunderbolt8115
@thunderbolt8115 4 месяца назад
Thank you so much sir 🙏🙏🙏
@Param3021
@Param3021 4 месяца назад
Welcome!
@shivaniits
@shivaniits 4 месяца назад
Hi , is there a way to attend the sessions ? there were talks earlier about mlp project mentor but I couldn't find anything in pending payments tab.
@Param3021
@Param3021 4 месяца назад
Hi sure! You can join my calendar: calendar.google.com/calendar/u/0/r?cid=a8befe210b01089b6fcaf692ef2de1cf1f6127133f081a7885c66ff082614b9a@group.calendar.google.com Also, I have a session today at 6-8 pm: Session 5: Data Preprocessing & Feature Engineering 🔗 meet.google.com/wxb-tisn-ehz
@Sigma_Developer
@Sigma_Developer Месяц назад
Bro Just answer me this What had been your approach in studying ML. Were you curious regarding each detail and if so, did you find answer to all the questions arised in your mind? Great Sessions between
@Param3021
@Param3021 Месяц назад
Approach is basic, learn the maths behind algorithm, then implementation, code and make it from scratch, use in project. Yes, I have always been, but sometimes some topics got skipped to move on further.
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