@denicmarko I've been building Sahayak - a tool that helps professionals create LinkedIn posts in seconds. You pick a content framework, enter your topic, and it generates a publication-ready post. That's it . Try it once:https://t.co/BetQDnILa3
@suni_code I've been building Sahayak -a tool that helps professionals create LinkedIn posts in seconds. You pick a content framework, enter your topic, and it generates a publication-ready post. That's it.
https://t.co/BetQDnILa3
@sickdotdev I've been building Sahayak - a tool that helps professionals create LinkedIn posts in seconds. You pick a content framework, enter your topic, and it generates a publication-ready post. That's it . Try it once: https://t.co/BetQDnILa3
Even though I'm not a regular writer, I've written a few articles for Medium under different publications. To be more regular with my writing, have more control over my content, and have a platform that truly represents me, I started my blog website https://t.co/B8uLzx7ENz
Sometimes I will discuss specific books, provide insight about why I chose that book, and share a learning experience. This can be found at https://t.co/O0rmiI2pmr
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If you are serious about mastering your life, you can't afford to expose yourself to random information.
Each piece of information entering your brain affects your neural network.
By curating your information consumption you take a step to shape your mind consciously.
I am getting a lot of queries and questions regarding @awscloud AWS ML Speciality certification, I am sharing my understanding and strategies in this blog post. I hope it would be helpful to someone https://t.co/gtXuO7zF3j
#AWSCertified#MachineLearning
Day 127-134/R2 of #66daysofdata: Spent some time on @awscloud SM built-in algorithms. Also, modified web server log analysis script to be more efficient and convert all SQL queries into Pandas code #MachineLearning. End of R2 #66daysofdata , thank you @KenJee_DS for this ๐๐
Day 120-126/R2 of #66daysofdata : Working on server log analysis assignment for predictive analysis, learned few SQL tricks for data segregation and labeling, building a pipeline to download logs from S3 bucket -> SQL analysis -> labeled logs in JSON format
#MachineLearning
Day 118-119/R2 of #66daysofdata : Understanding RNN architecture and different supported topologies like sequence to sequence, sequence to vector, vector to sequence, and encoder to decoder
#MachineLearning#DeepLearning