Day 11 of #100dayswithMachineLearning

Topic : Tensor in Machine Learning

🧵
A tensor is a container which can house data in N #dimensions. Often and erroneously used interchangeably with the matrix (which is specifically a 2-dimensional #tensor), tensors are generalizations of #matrices to N-dimensional space

Tensor notation is much like matrix notation
Tensors are more than simply a data container, however. Aside from holding numeric #data, tensors also include descriptions of the valid linear #transformations between tensors. Examples - include the cross product and the dot product.

Blog Link - kdnuggets.com/2018/05/wtf-te…
Tensor are the data structure used by #machinelearning system

A #tensor is a container for numerical #data It is the way we store the information that we’ll use within our system

Three primary attributes define a tensor

Rank
Shape
Data type

Blog Link - medium.datadriveninvestor.com/what-is-the-te…
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More from @Sachintukumar

Mar 26
♦️5 SQL projects to build your strong Data analytics portfolio today🎯

🧵
1. European Soccer Game Analysis
Tech Stack: SQL

what you learn:
ORDER BY, GROUP BY, and LIMIT, Joins, Aggregate functions

Dataset link: lnkd.in/gFa_E2XA
2. Analyzing Road Safety in the UK
Tech stack: SQL, python

what you learn:
Aggregate functions, CREATE, indexing, subqueries

Repository Link: lnkd.in/dbEAKY2G
Read 8 tweets
Mar 26
Day 12 of #100DayswithMachineLearning

Topic - Installing Anaconda & Gather Basic Knowledge About these Tools - Jupyter Notebook || Google Colab

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1⃣ Anaconda is a distribution of the #Python and R #programming languages for scientific computing (#datascience, #machinelearning applications, large-scale #data processing, predictive analytics, etc.), that aims to simplify package management and #deployment. Image
2⃣ The #JupyterNotebook is an open source #web application that you can use to create and share documents that contain live #code, equations, #visualizations, and text. Jupyter #Notebook is maintained by the people at Project Jupyter.

Blog Link - realpython.com/jupyter-notebo…
Read 7 tweets
Mar 24
" SQL Project on Zomato Analytics "

🧵
#SQL is the most important tool, a data analyst uses to manipulate and gain insights from the data. In this #project, we will try to process, and analyze the data

SQL is the “meat and potatoes” of #dataanalysis

It’s semantically easy to understand and learn.
Read 4 tweets
Mar 24
Day 10 of #100dayswithMachineLearning

Topic - Data Engineer Vs Data Analyst Vs Data Scientist Vs ML Engineer

🧵
Do you want to start a career in the field of #DataScience #MachineLearning but confused about the different job titles available in this Data-Driven career and the appropriate skill sets needed to excel in one

#Data powers today's world ransformed radically by #data @avizyt Image
This article aims to demystify the different job titles for #datascience and #machinelearning based career paths. We would look into some job titles such as #DataAnalyst, Data Scientist, Data Engineer, and Machine Learning #Engineer

Blog Link - medium.com/campusx/explor…
Read 4 tweets
Mar 23
Day9⃣ of #100dayswithMachineLearning

Topic - Machine Learning Development Life Cycle

🧵
#Machinelearning has given the computer systems the abilities to automatically learn without being explicitly #programmed. But how does a machine learning system work? So, it can be described using the #lifecycle of machine learning.
#Machinelearning life cycle is a cyclic process to build an efficient machine learning #project. The main purpose of the life cycle is to find a solution to the problem or project.

Machine learning life cycle involves seven major steps, which are given below:
#DataScience
Read 6 tweets
Mar 23
" Data Analyst Project on Hotel Booking "

That you can add in your resume or portfolio to showcase your skills 💯

🧵
◻ In Recent Year , City Hotel & Resort Hotel have seen High Cancellation Rates. Each Hotel is now Dealing with number of issue as result including Fewer #revenue & Less than ideal Hotel room use.
🔹 Insights :

1️⃣ More Cancellation occur when prices are higher
2️⃣ When there is Longer waiting list , Customer tend to Cancel more frequently
3️⃣ The majority of Clients are coming from a offline #travel agents to make their #reservations
Read 6 tweets

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