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Internationally handling innumerable batches in Data Science with variable tools like Python, R Programming, IBM SPSS, IBM SPSS Modeller and like...
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. Result‐driven IT professional with overall 15 years of experience in Software product development of which 5 years in Data Science and AI ....
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I'm Manoj, PMI Certified project manager, and seasoned data analytics professional certified by Google, PMI, and Oracle in Data Analytics and AI....
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Supervised Un Supervised Time Series Text analytics Python Machine leanring Mathematics Statistics
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I have 20 years into Academics and about 3 years into Industry. I am specializing on Data Analytics / Data Science / ML. I have worked at Various...
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I have more than 5+ years of experience in python and django training and over 6+ years as a developer. My training strategies are to focus on hand-on...
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In data science, I can teach: 1. Machine Learning - Regression Algorithms - Classification Algorithms 2. Deep Learning - Artificial...
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I am a working professional at Data Science and IoT based company. I am taking online classes and writing books on Data Science which I will be publishing...
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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 am Experienced in Teaching Data Science in the institute and Online classes. It is a customized course for the industry and I assume the persons...
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Atleast the bachelor Degree
In maximum 5 months, you can learn Data Science
First of all, data science is an interdisciplinary field; it involves two or more disciplines into one...
A shallow neural network has only one hidden layer between the input and output layers, while a deep neural network has multiple hidden layers.
Title: Decoding Sentiment Analysis in NLP 1. Sentiment Analysis Overview Definition: Sentiment analysis,...
learning mathematical concepts requires two preconditions - that you understand and write rigorous proofs for even simple concepts and that you understand...
What is a Dummy variable? A Dummy variable or Indicator Variable is an artificial variable created to represent an attribute with two or more distinct...
A lot of candidates are showing interest to learn Data Science and Business Analytics. Based on my experience, I would recommend candidates following...
When do we use linear models and when do we use tree based classification models? This is common question often been asked in data science job interview....
Latent Dirichlet allocation (LDA) Topic modeling is a method for unsupervised classification of text documents, similar to clustering on numeric data,...
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