Knowledge in Machine learning

Basic Mechanical Engineering DRILLING AND MILLING {DBATU}

This pdf contains the description about DRILLING AND MILLING . Also the functioning and use of these machines are explained in this pdf . This machines are available to students at DR. BABASAHEB AMBEDKAR TECHNOLOGICAL UNIVERSITY by MECHANICAL DEPARTMENT.

Sentiment Analysis In NLP

Sentiment Analysis is also known as Opinion Mining. It is a field within NLP where it builds a software which can identify and understand the message or information which is shared in it. Sentiment analysis is the field which uses the vast amount of data ( approx. 2.5 quintillion bytes of data per day) which is produced by the users and understands it. The result of this analysis can be used in various fields by various organizations and in turn it leads in the development of the world

Introduction to Machine Learning Edition 2, by Ethem Alpaydin

This is a book of machine learning written by Ethem Alpaydin. To explore yourself in machine learning use this book. Also this book will help you in solving many difficulties.

business communication and value science

sample letter writing of engineering students

Artificial Intelligence and Machine Learning

The Content is about Introduction to AI&ML , Fussy Logic, K-Nearest Algorithm, Naive Bayes Classification, Clustering, Fussy Clustering, foundation of ML, decision tree and concept of hierarchical clustering.

Industrial IOT

internet of things ebook

Image processing project report for reference

Embracing your ideas for ai ml using this project reference

QUESTION AND ANSWERS OF MACHINE DESIGN

THERE ARE FEW QUES AND ANS OF MACHINE DESIGN CHAPTER. HOPE THAT WILL HELP YOU

snr curve

Signal-to-noise ratio (abbreviated SNR or S/N) is a measure used in science and engineering that compares the level of a desired signal to the level of background noise. SNR is defined as the ratio of signal power to the noise power, often expressed in decibels. A ratio higher than 1:1 (greater than 0 dB) indicates more signal than noise. SNR, bandwidth, and channel capacity of a communication channel are connected by the Shannon–Hartley theorem.

cotter joints

Cotter joint is used to connect two rods subjected to axial tensile or compressive loads. It is not suitable to connect rotating shafts which transmit torque. Axes of the rods to be joined should be collinear. There is no relative angular movement between rods. Cotter joint is widely used to connect the piston rod and crosshead of a steam engine, as a joint between the piston rod and the tailor pump rod, foundation bolt etc

overfitting in machine learning

Overfitting can be seen in machine learning through this python code