This document repeats the phrase "Weigh India" multiple times without providing any additional context or information. It consists solely of the phrase "Weigh India" on each line.
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Career Mudhra offers Data Science course in Chennai, the most comprehensive Data Science course in the market, covering the complete Data Science lifecycle concepts from Data Collection, Data Extraction, Data Cleansing, Data Exploration, Data Transformation, Feature Engineering, Data Integration, Data Mining, building Prediction models, Data Visualization and deploying the solution to the customer. Skills and tools ranging from Statistical Analysis, Text Mining, Regression Modelling, Hypothesis Testing, Predictive Analytics, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, Predictive Modelling, R Studio, XLMiner, Tableau, Spark, Hadoop, Minitab, programming languages like R programming, Python are covered extensively as part of this Data Science training. Career Mudhra is considered as the best Data Science training institute in Chennai which offers services from training to placement as part of the Data Science training program with over 400+ participants placed in various multinational companies including E&Y, Panasonic, Accenture, VMWare, Infosys, IBM, etc. Career Mudhra imparts the best Data Science training in Chennai and considered to be the best in the industry..https://careermudhra.in/course/data-science/
This presentation was held during the 5th GIB Summit, May 27-28 2015.
The presentation and more information on the Global Infrastructure Basel Foundation are available on www.gib-foundation.org
Analysis of process parameters in dry machining of en 31 steel by grey relati...IAEME Publication
This paper presents the optimization of surface roughness & material removal rate in dry turning of EN-31 steel.Carbide inserts were used for machining of EN-31 to study effects of process parameters [Cutting speed (S), Feed (F) and depth of cut (d)]. These models can be effectively used to predict the surface roughness (Ra) of the workpiece. The big challenge of the Micro, small& medium industries in India for achieving high quality products with increased productivity.Paper presentswork of an investigation of turning process parameters on EN-31 material, for optimization of surface roughness, material removal rate.The experiment is carried out by considering three controllable input variables namely cutting speed, feed rate, and depth of cut.The design of experiment and optimization of surface roughness is carried out by using Taguchi L9 orthogonal array & Grey Relational analysis.
This presentation was held during the 5th GIB Summit, May 27-28 2015.
The presentation and more information on the Global Infrastructure Basel Foundation are available on www.gib-foundation.org
Analysis of process parameters in dry machining of en 31 steel by grey relati...IAEME Publication
This paper presents the optimization of surface roughness & material removal rate in dry turning of EN-31 steel.Carbide inserts were used for machining of EN-31 to study effects of process parameters [Cutting speed (S), Feed (F) and depth of cut (d)]. These models can be effectively used to predict the surface roughness (Ra) of the workpiece. The big challenge of the Micro, small& medium industries in India for achieving high quality products with increased productivity.Paper presentswork of an investigation of turning process parameters on EN-31 material, for optimization of surface roughness, material removal rate.The experiment is carried out by considering three controllable input variables namely cutting speed, feed rate, and depth of cut.The design of experiment and optimization of surface roughness is carried out by using Taguchi L9 orthogonal array & Grey Relational analysis.