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I got your response from urbanpro regarding Data Science Using R and Python Programming. And, I completed B.Tech with MBA also Pursuing Ph.D in the...
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Experience in solving and training professionals for coding in hive, bigdata, r, sas, python, many more products and services to refer.
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Corporate Training on Big Size Data: DAta Structure, Machine Learning, Algorithms, and Patterns in Data Science have trained and Working experience...
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I keep a friendly environment with all my students so they can reach out to me anytime they need. I have an experience of teaching coding to the kids...
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Data Science | Machine Learning | Statistics | R | Python | NLP | Deep Learning | AI | Hadoop. I am a Data Scientist currently working in Ahmedabad....
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About the Course INTRODUCTION: This course is designed for professionals who want to explore data incepting from cleaned data set to Statistical...
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I am a Data Science Trainer plus Senior Data science Consultant working at MNC . Trained across 1200 Professionals till date across India and US. Placed...
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Narasimha,What i think is programming is not only related to language but moreover its a logic. If have...
There are few skills required to start carrer in data science.. 1. Knowledge and use of any one RDBMS...
Missing values can be handled by deleting the rows or columns having null values. If columns have more...
Data science is used for prediction. It helps to find the future trend. It is popular in classification...
The best laptop for a data scientist depends on their specific needs, but generally, a laptop with a...
Dear All, You can use the following books to master the DATA SCIENCE Concepts 1) First Course in Probability-Ronald Russel 2)Applied Regression Analysis-Drapper...
K-means is one of the simplest unsupervised learning algorithms that solve the well-known clustering problem. The procedure follows a simple and easy way...
K-means is one of the simplest unsupervised learning algorithms that solve the well-known clustering problem. The procedure follows a simple and easy way...
In simple words, principal component analysis(PCA) is a method of extracting important variables (in form of components) from a large set of variables...
Implementations of the decision tree algorithm usually provide a collection of parameters for tuning how the tree is built. The defaults in Rattle often...
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