I am pretty grateful to the
#womenintech
for inspiring me❤️
Thanks to the recent mentorship program by
@WWCode_Delhi
✨
I am curating my journey in the thread🧵below, so that other women too can get benefitted from it!
Ever noticed how some people break all the rules, party hard, yet succeed and seem happy? Meanwhile, I'm on the discipline path, but it feels like a struggle. Is sticking to the rules worth it, or is there something liberating in a bit of chaos?
Attended an insightful live stream by
@kunalstwt
and
@siddharth_hacks
Here are some key points:
1. Always share your learnings.
2. Do good work for the community.
You have a right to perform your prescribed duties, but you are not entitled to the fruits of your actions.
Never consider yourself to be the cause of the results of your activities, nor be attached to inaction😇
Did a session on "Introduction to OpenCV Python" as a part of the MLSA program
Feels great by conducting these sessions. Looking forward to more.
Thank you
@mindninjaX
for helping me!😃
Day 10 of
#66DaysOfData
:
Continuing my learnings from the Kaggle Machine Learning course, here I have briefed about how to handle categorical variables in a dataset👇
Day 6 of
#66DaysOfData
:
Sharing my learnings from Kaggle Machine Learning course. Here's how we can handle missing values in the data👇
Do comment which methods you have used, or drop down any other methods that you know are useful🙌
Day 8 of
#66DaysOfData
:
Covered Pandas library.
Working with data is the most essential part before building a model, and Pandas is great library for it!
Here's the link if you want to get started with it👇
Taking a moment to celebrate and appreciate the wonderful community I got involved with in 2021🙌
Everyone has contributed to my learnings and I hope to learn and grow even more in the coming years❤
We chased the illusion of grown-up life, only to realize that the child within us longs for simpler times. Those nights under the stars feel like distant dreams
Day 13 of
#66DaysOfData
:
Working on getting my hands on Cleaning and exploring data. Currently following Kaggle courses...
Would love to know any other resources to get started with EDA. Drop your suggestions in the comments👇
And its a wrap!
Amazing insights given by the speakers about various technologies in AI field, ended by a great round table discussion!
I am hoping to plant more trees by completing the learning modules🙌
#GlobalAICommunity
#ArtificialIntelligence
Our financial stability, our technical expertise, our popularity, our position..
Let's put everthing aside. And be a human who cares, respects and helps each other.
Can we build a happy and secure world for us?
Can we!!!??
We're proud to announce that
@HackOnHackathon
will join
@MLHacks
INIT this year as a Guild🚀
Earn swag & code with your friends during this week-long event from June 27th to July 5th to hear about new season announcements & join sessions & challenges fit for any skill level ✨
I just wonder...
Even after a hell lot of testing, reviews, careful observation, debugging, build, and verification...
How do these bugs enter the software
I... Just..... Wonder.....
3. Apply what you are learning on the go. Avoid tutorial hell!
4. Its important to find a right mentor.
5. Networking to learn and grow from each other.
6. Be active in the communities. This will help you stay updated with various opportunities.
Day 9 of
#66DaysOfData
:
Going through Neural Networks with Machine Learning course on Coursera🧠
Taking a bit more time to understand the concepts...
The course is really great, covering topics in-depth🙌
Day 22 of
#66DaysOfData
:
Reviewed previous topics...
Also did my first submission in kaggle's tabular playground series - feb 2022💡
Felt like I need to learn so much🤔
3 idiots is such a great movie🙌 Covering all the aspects of how an engineering student in India goes through during their education journey..
Yes we face the same in reality😔
Here we go with another session as a part of the
@codeforcauseIn
monthly empowerment series.
Invited some amazing guests!
We discussed about hackathons, internships, and networking.
Kudos to the team :)
@Rawat_Ayushi_
@coder351
@nagar248
Day 19 of
#66DaysOfData
:
Read basics concepts of CNN. Whenever the concepts seems hard, I switch onto
@joshuastarmer
youtube channel🙌
He has put great efforts in every video by explaining concepts in easiest way🚀
1. Met some amazing people, had the best conversation with them.
2. Started Full time as a software developer
3. Office visit🫶
4. Started book reading
5. Attended my first in person meetup
6. Solo travel
Day 4 of
#66DaysOfData
:
I read about the problem of overfitting. When our model fit the training data too well, that it fails to generalize on new data, it is known as overfitting.
Day 17 of
#66DaysOfData
:
Sharing my learnings from Kaggle ML course💡
While building a machine learning model, we usually divide our dataset in two sets:
1. Training set
2. Testing set
To get great results we must have size of training set larger than that of test set....
Thankyou
@GDSC_MUST
and
@nagar248
for giving me a chance to represent as ML/AI Lead for GDSC MUST.
I will continue to help and share my knowledge with the community😃
Hey Folks!
Getting my hands on with the very first no code contributions to the community🚀. Special thanks to
@aviyelHQ
for kickstarting my hacktoberfest well..
Do give a read to this blog👇
"If you cannot see where you are going, ask someone who has been there before." — J Loren Norris ✨
We are grateful to see our previous year mentees flourishing and growing in diverse fields!
@Nagar_Ananya
"We make a living by what we get, but we make a life by what we give" - Winston Churchill
Thank you
@dhruvicodes
for accepting me to the community
@womentechhub9
🚀
I look forward to giving back and making a positive impact in any way I can❤️
I realised how much better I was in public speaking when I was in communities during my college...
Now after a year of minimal community involvement, I now lack confidence in my speaking abilities 🥲
Day 12 of
#66DaysOfData
:
Getting through the concepts of neural network, its architecture and how it can help in generating complex non-linear hypothesis.
Do you remember when you joined Twitter? I do!
And with this, I completed my family of 100 followers!
In this journey, I have connected with amazing and supportive friends🙌
Thankyou everyone!
#MyTwitterAnniversary
My giveaway to you all would be my calendar, book my calendar for resume reviews, guidance, open source or career here is the link STARTING FROM JAN 1😻
Just finished the free course on "How to customize your GitHub Profile" by
@eddiejaoude
Learned about Markdown, how to include dynamic data to the profile and some great tips regarding the enhancement of it.
Make sure to checkout this course:
Organised a session on "Beginners Guide to Git and GitHub".
Covered basic Git & Terminal Commands and how to make your first ever pull request , also introduced various open source programs 🙌.
Thanks 4 amazing coordination
@Nagar_Ananya
,
@nagar248
,
@coder351
and
@ruchijain4_
Day 15 of
#66DaysOfData
:
Taking forward my learnings from kaggle, I explored about handling inconsistencies in the data.
Handling these inconsistencies requires a detailed look at the data, especially textual data...
@yednapg
Hi👋, I'm Ananya, currently learning ML and DL.
I'm doing AI course of Andrew Ng, and also exploring Kaggle.
Long way to go🚀, so I'd love to help the community.