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Lets Code

@LetsCode3

Lets Code, the community for aspiring developers. #javascript, #html or #cpp, we may be able to help. Join now and meet like-minded people.

Ghim

Coders! Time to get excited! Our new website has officially launched! check out our new look and features now! Spoiler- you can share your projects to have them showcased! lets-code.joemoses.co.uk #100DaysOfCode #womanintech #javascript #js #coders #html #css #CodeNewbie


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Day 266 of #300daysofcode👨‍💻#DataScience #DataAnalytics Back on GCP, completed 2 Qwiklabs Got a better understanding of VPN setup and the use of Cloud NAT Complete the 30DaysOfDS Microsoft Learn, and plan to start the webinar tomorrow Started Azure AI fundamentals

TheDataHokage's tweet image. Day 266 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Back on GCP, completed 2 Qwiklabs
Got a better understanding of VPN setup and the use of Cloud NAT

Complete the 30DaysOfDS Microsoft Learn, and plan to start the webinar tomorrow

Started Azure AI fundamentals
TheDataHokage's tweet image. Day 266 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Back on GCP, completed 2 Qwiklabs
Got a better understanding of VPN setup and the use of Cloud NAT

Complete the 30DaysOfDS Microsoft Learn, and plan to start the webinar tomorrow

Started Azure AI fundamentals

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Day 265 of #300daysofcode👨‍💻#DataScience #DataAnalytics Back on GCP, completed 4 Qwiklabs Worked with Terraform and loved the flexibility when using VMs On 30dayofDS by @TheOyinbooke, I got to understand virtual environment better and the use of pip freeze and requiment.txt file

TheDataHokage's tweet image. Day 265 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Back on GCP, completed 4 Qwiklabs
Worked with Terraform and loved the flexibility when using VMs

On 30dayofDS by @TheOyinbooke, I got to understand virtual environment better
and the use of pip freeze and requiment.txt file
TheDataHokage's tweet image. Day 265 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Back on GCP, completed 4 Qwiklabs
Worked with Terraform and loved the flexibility when using VMs

On 30dayofDS by @TheOyinbooke, I got to understand virtual environment better
and the use of pip freeze and requiment.txt file
TheDataHokage's tweet image. Day 265 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Back on GCP, completed 4 Qwiklabs
Worked with Terraform and loved the flexibility when using VMs

On 30dayofDS by @TheOyinbooke, I got to understand virtual environment better
and the use of pip freeze and requiment.txt file

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Day 264 of #300daysofcode👨‍💻#DataScience #DataAnalytics I spent the majority of my evening (4hrs) on GCP. Worked on 3 Quiklab projects. The project name and lesson learned are in the pic I got a better understanding of SL shown in the next pic Finally, had a long nap😪

TheDataHokage's tweet image. Day 264 of #300daysofcode👨‍💻#DataScience #DataAnalytics

I spent the majority of my evening (4hrs) on GCP. Worked on 3 Quiklab projects.
The project name and lesson learned are in the pic 

I got a better understanding of SL shown in the next pic

Finally, had a long nap😪
TheDataHokage's tweet image. Day 264 of #300daysofcode👨‍💻#DataScience #DataAnalytics

I spent the majority of my evening (4hrs) on GCP. Worked on 3 Quiklab projects.
The project name and lesson learned are in the pic 

I got a better understanding of SL shown in the next pic

Finally, had a long nap😪

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Day 263 of #300daysofcode👨‍💻#DataScience #DataAnalytics Started my GCP project phase Deployed a LAMP stack Learned how to carry out batch inferencing on Azure ML when working with large volume of data And hyperparameters turning in Azure ML

TheDataHokage's tweet image. Day 263 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Started my GCP project phase
Deployed a LAMP stack

Learned how to carry out batch inferencing on Azure ML when working with large volume of data

And hyperparameters turning in Azure ML
TheDataHokage's tweet image. Day 263 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Started my GCP project phase
Deployed a LAMP stack

Learned how to carry out batch inferencing on Azure ML when working with large volume of data

And hyperparameters turning in Azure ML
TheDataHokage's tweet image. Day 263 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Started my GCP project phase
Deployed a LAMP stack

Learned how to carry out batch inferencing on Azure ML when working with large volume of data

And hyperparameters turning in Azure ML

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Day 262 of #300daysofcode👨‍💻#DataScience #DataAnalytics Finally installed my binomial package on a virtual environment and saved it to PyPI. Learned how to create, publish and schedule Azure Machine learning Pipeline. Learned Firestore Learning GCP monitoring resources

TheDataHokage's tweet image. Day 262 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Finally installed my binomial package on a virtual environment and saved it to PyPI.

Learned how to create, publish and schedule Azure Machine learning Pipeline.

Learned Firestore
Learning GCP monitoring resources
TheDataHokage's tweet image. Day 262 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Finally installed my binomial package on a virtual environment and saved it to PyPI.

Learned how to create, publish and schedule Azure Machine learning Pipeline.

Learned Firestore
Learning GCP monitoring resources
TheDataHokage's tweet image. Day 262 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Finally installed my binomial package on a virtual environment and saved it to PyPI.

Learned how to create, publish and schedule Azure Machine learning Pipeline.

Learned Firestore
Learning GCP monitoring resources

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Day 261 of #300daysofcode👨‍💻#DataScience #DataAnalytics Completed working with compute in azure matching learning module on Microsoft Learn Learned how to: - Create environment - Compute Using ML studio and SDK Revising network on GCP Fixed all errors on my Binomial package

TheDataHokage's tweet image. Day 261 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Completed working with compute in azure matching learning module on Microsoft Learn
Learned how to:
- Create environment
- Compute 
Using ML studio and SDK

Revising network on GCP

Fixed all errors on my Binomial package

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Day 260 of #300daysofcode👨‍💻#DataScience #DataAnalytics Learned how to train, save & register ML models on Azure using scripts Built all methods on my binomial class. Setup next Learning Load balancing on GCP It's interesting, making me wish I read computer for first degree🥺

TheDataHokage's tweet image. Day 260 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Learned how to train, save & register ML models on Azure using scripts

Built all methods on my binomial class. 
Setup next

Learning Load balancing on GCP
It's interesting, making me wish I read computer for first degree🥺
TheDataHokage's tweet image. Day 260 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Learned how to train, save & register ML models on Azure using scripts

Built all methods on my binomial class. 
Setup next

Learning Load balancing on GCP
It's interesting, making me wish I read computer for first degree🥺

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Day 259 of #300daysofcode👨‍💻#DataScience #DataAnalytics Finally integrated VAE in my CNN classier🎉. Got lower accuracy. Research on how to improve the VAE or alternate generative AI. Built and deploy a Gaussian distribution package. Pass AWS ML Udacity Certification.🎉

TheDataHokage's tweet image. Day 259 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Finally integrated VAE in my CNN classier🎉.
Got lower accuracy.
Research on how to improve the VAE or alternate generative AI.

Built and deploy a Gaussian distribution package.
Pass AWS ML Udacity Certification.🎉
TheDataHokage's tweet image. Day 259 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Finally integrated VAE in my CNN classier🎉.
Got lower accuracy.
Research on how to improve the VAE or alternate generative AI.

Built and deploy a Gaussian distribution package.
Pass AWS ML Udacity Certification.🎉
TheDataHokage's tweet image. Day 259 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Finally integrated VAE in my CNN classier🎉.
Got lower accuracy.
Research on how to improve the VAE or alternate generative AI.

Built and deploy a Gaussian distribution package.
Pass AWS ML Udacity Certification.🎉

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Day 258 of #300daysofcode👨‍💻#DataScience #DataAnalytics Happy Sunday! Working on my kidney stone project. Finding it difficult to combine my encode and prediction models because I built them with different libraries {Keras and TensorFlow} All can say is omor Somebody help me🥲

TheDataHokage's tweet image. Day 258 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Happy Sunday!

Working on my kidney stone project. Finding it difficult to combine my encode and prediction models because I built them with different libraries {Keras and TensorFlow}

All can say is omor
Somebody help me🥲
TheDataHokage's tweet image. Day 258 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Happy Sunday!

Working on my kidney stone project. Finding it difficult to combine my encode and prediction models because I built them with different libraries {Keras and TensorFlow}

All can say is omor
Somebody help me🥲

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Day 257 of #300daysofcode👨‍💻#DataScience #DataAnalytics Build class for Gaussian distribution. Implemented magic methods like add and reps On GCP, learning interconnection to an on-premises database.

TheDataHokage's tweet image. Day 257 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Build class for Gaussian distribution.
Implemented magic methods like add and reps

On GCP, learning interconnection to an on-premises database.
TheDataHokage's tweet image. Day 257 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Build class for Gaussian distribution.
Implemented magic methods like add and reps

On GCP, learning interconnection to an on-premises database.
TheDataHokage's tweet image. Day 257 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Build class for Gaussian distribution.
Implemented magic methods like add and reps

On GCP, learning interconnection to an on-premises database.

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Day 256 of #300daysofcode👨‍💻#DataScience #DataAnalytics Continued improving my code Build some classes for items sold in a shop and track salesperson performance to practice OOP Currently building a bot to scrap job posting for a career recommendation AI.

TheDataHokage's tweet image. Day 256 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Continued improving my code

Build some classes for items sold in a shop and track salesperson performance to practice OOP

Currently building a bot to scrap job posting for a career recommendation AI.
TheDataHokage's tweet image. Day 256 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Continued improving my code

Build some classes for items sold in a shop and track salesperson performance to practice OOP

Currently building a bot to scrap job posting for a career recommendation AI.
TheDataHokage's tweet image. Day 256 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Continued improving my code

Build some classes for items sold in a shop and track salesperson performance to practice OOP

Currently building a bot to scrap job posting for a career recommendation AI.

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Day 47/365 : 5th Day week 1 Module 2 @microverseinc -Reviewed ES6 - basic syntax -Reviewed Stack and Queue implementation -Did a Quiz on Dynamic website with JS #300DaysOfCode #javascript #codinglife #tech #programming #development #opensource #webdesigner #GitHub #USA

BalixEmma's tweet image. Day 47/365 : 5th Day week 1 Module 2 @microverseinc  
-Reviewed ES6 - basic syntax 
-Reviewed Stack and Queue implementation
-Did a Quiz on Dynamic website with JS
#300DaysOfCode #javascript #codinglife  #tech  #programming  #development #opensource  
#webdesigner  #GitHub #USA

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Day 255 of #300daysofcode👨‍💻#DataScience #DataAnalytics Learn testing, logging, and code review practice. For code testing, I observed that the prefix 'test' used for naming functions to be tested must be followed by an underscore _, not a hyphen- for #pytest to detect them.

TheDataHokage's tweet image. Day 255 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Learn testing, logging, and code review practice.

For code testing, I observed that the prefix 'test' used for naming functions to be tested must be followed by an underscore _, not a hyphen- for #pytest to detect them.

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Day 46/365 : 4th Day week 1 Module 2 @microverseinc -project approved✅ -Learned new features in ES6 #300DaysOfCode #javascript #codinglife #tech #programming #development #opensource #webdesigner #GitHub #LinkedIn

BalixEmma's tweet image. Day 46/365 : 4th Day week 1 Module 2 @microverseinc
  -project approved✅
 -Learned new features in ES6
#300DaysOfCode #javascript #codinglife  #tech  #programming  #development #opensource  
#webdesigner  #GitHub #LinkedIn

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Day 254 of #300daysofcode👨‍💻#DataScience #DataAnalytics Tried my first deep racer model in the competition and came out 2757 out of 3486😅 about 4 mins slower than the first position Learning software engineering practice in DS to improve my coding. Current seeing the use of DSA

TheDataHokage's tweet image. Day 254 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Tried my first deep racer model in the competition and came out 2757 out of 3486😅 about 4 mins slower than the first position

Learning software engineering practice in DS to improve my coding. Current seeing the use of DSA
TheDataHokage's tweet image. Day 254 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Tried my first deep racer model in the competition and came out 2757 out of 3486😅 about 4 mins slower than the first position

Learning software engineering practice in DS to improve my coding. Current seeing the use of DSA
TheDataHokage's tweet image. Day 254 of #300daysofcode👨‍💻#DataScience #DataAnalytics

Tried my first deep racer model in the competition and came out 2757 out of 3486😅 about 4 mins slower than the first position

Learning software engineering practice in DS to improve my coding. Current seeing the use of DSA

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Day 45/365 : 3rd Day week 1 Module 2 @microverseinc - Did a Pair-programming project for a simple website to add and remove books from a collection. #300DaysOfCode #javascript #codinglife #tech #programming #development #opensource #webdesigner #GitHub #LinkedIn


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Day 253 of #300daysofcode👨‍💻#DataScience #DataAnalytics Finally, back to AWS🎉 Training a deepRacer to learn how to implement reinforcement learning. Learning how to interpret different reward graphs and identify poor models or overfitting. Currently learning Generative AI


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Day 44/365 : 2nd Day week 1 Module 2 @microverseinc Revised JS classes,Objects,constructor and use of this key work #300DaysOfCode #javascript #codinglife #tech #programming #development #opensource #webdesigner #GitHub #LinkedIn


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