Machine learning and statistics with python

 Introduction: In the dynamic landscape of data science, leveraging the power of the cloud has become indispensable. Cloud computing provides scalable and flexible resources, making it an ideal platform for data scientists to analyze and process vast amounts of data efficiently. To embark on a successful journey in the data science industry, it's crucial to grasp key cloud concepts that form the foundation of modern data analytics.   In this article, we will first talk about the major players in cloud, and a brief history about them. After this we will go through some quick terminologies about cloud ecosystem. Following this, we will talk more in details about AWS and its key levers.   Major players in cloud: Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure are three major cloud computing platforms that have played significant roles in the growth and development of the machine learning (ML) industry. Here's a brief overview of whe...

Create a table in snowflake using external data Recently I needed to upload a data into snowflake as a table and perform some operations on it. Surprisingly as it is, I found that although I knew how to create a table in sql; I didn't know how to upload a data into snowflake. Obviously, I could have gone into internet to find out python libraries to solve this problem; i.e. access snowflake via a python session, then get the data and upload it in some probable template for tables. But it was a quick work and I wanted to do it fast. So I chose to upload it in a s3 data bucket and then create an empty table in snowflake; in which I would then put the data, pulling it into snowflake from s3. Now that is a nice and easy way to do; and let's see the exact procedure and how do we complete each of the parts. Upload the data into s3: Uploading data into s3 can be done again in two ways. The first one is to use a boto3 session and then upload the data into s3 via that boto session. If...

Select Language Afrikaans Albanian Arabic Armenian Azerbaijani Basque Belarusian Bulgarian Catalan Chinese (Simplified) Chinese (Traditional) Croatian Czech Danish Dutch English Estonian Filipino Finnish French Galician Georgian German Greek Haitian Creole Hebrew Hindi Hungarian Icelandic Indonesian Irish Italian Japanese Korean Latvian Lithuanian Macedonian Malay Maltese Norwegian Persian Polish Portuguese Romanian Russian Serbian Slovak Slovenian Spanish Swahili Swedish Thai Turkish Ukrainian Urdu Vietnamese Welsh Yiddish Bengali Gujarati Marathi Nepali Punjabi Tamil Telugu Introduction: For the last couple of days, I have started working in ec2 instances and I have been noticing the fact that there is not a good question answering place for the ec2 instances. So in this blog I will try to notedown some of the common but useful commands you can use in ec2 instances while working in aws cloud machines. Ubuntu specific normal commands: 1. ls ls is used to see the lists ...