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deep learning

Neeraj Dana
Members Public

Statistics | Population, and sample | Machine Learning Prerequisite

Statisticsin very simple words . the process of Gathering describing and analysing the data is known as statistics PopulationPopulation is basically the collection of any item (humans ,students ,males ,females ,animals,plants ..etc) in a boundry or limits for example Populations of humans in India  = All (total numbers of ) humans in
Neeraj Dana
Members Public

Machine Learning Prerequisite | Python Basics: Variables and Datatypes

Prerequisit Google Colab SetupThe Colab Notebook for this article can be found here Variables and datatypes Someof this Might seems very basic to you but it may help someone so please free to skip when required In the last article we had setup our colab notebook  . This is the very
Neeraj Dana
Members Public

Machine Learning From scratch | Part 4. Setup Google Colaboratory

Ok so in this article we will see how you can quicky setup your dev env to gett your hands dirty with some coding Requirment to start machine learning is just a web browser with a google account with good internet speed thats it yes We will be using Google
Neeraj Dana
Members Public

Machine Learning From scratch | Part 3. Matrices and matrices Dot Product

Prerequisit  : Vector Dot ProductsMatrices are grid of numbers or arrangment of numbers . In programming it can be an array of array a real example can be  marks of students (A,B,C) in subjects (S1,S2,S3) can be shown as Student A have scored  20 in S1 , 25 in
Neeraj Dana
Members Public

Machine Learning From scratch | Part 2. Vector Dot Product

Prerequisit : https://blog.smartcodehub.com/machine-learning-from-scratch/Please watch the video of Scalar and vector Vector Additionvectror addition is component wise a = (1,2,3) and b =(4,-5,6) a+b = (4,-3,9)Vector Scalling a = (1,2,3) 2a = (2,4,6) 3a = (3,6,9) (1/2)
Neeraj Dana
Members Public

Machine Learning From scratch | Part 1. Scaler, And Vector

Hello Every One Lets start with the very basic prerequisit of machine learning I wont be taelling you the why and what of machine learning rather lets see some simple maths which can be usefull in our journey of ml Scaler And VectorTwo Statments I have Travelled 50Km I have