Data Science
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Data Integration Guide, Learn how data can be integrated : following which principles and for what business outcomes.
According to the World Economic Forum, at the beginning of 2020, the number of ...
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Complete Machine Learning with R Studio - ML for 2022, Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language - R studio.
You're looking ...
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MLOps Certification- Basics, Deployment & Deepchecks (MLOps) MLOps: Deep Checks, ML Flow, TFX & Helm for CI/CD deployment in ML systems and reliable monitoring of workflows in MLOps.
...
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Amazon Sagemaker Ultimate Course, Everything you need to know about Amazon Sagemaker.
Have you always wanted to learn how to do use Amazon SageMaker but don't know where to start?
Would you ...
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Practical Python Wavelet Transforms (I): Fundamentals, World-real Projects with PyWavelets, Jupyter notebook, Pandas and Many More.
The Wavelet Transforms (WT) or wavelet analysis is probably ...
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Data Analyst Mentorship for Absolute Beginner, What Online Courses Wouldn't Teach You.
There are lots of resources online today for learning Data Analysis but we lack mentorship resources that can ...
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Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn, Learn to use NumPy, Pandas, Seaborn , Matplotlib for Data Manipulation and Exploration with Python.
This course is ideal for you, ...
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Data Analysis and Visualisations using R, Learn how to use the R programming language for Data Analysis and Data visualization!(GGPlot2, Statistical, Packages).
his course will teach you R ...
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Linear Regression Analysis using Python: ML Basics (हिंदी), हिंदी में सीखें Basics of Machine Learning - covers Simple Linear Regression & Multiple Linear regression in Python.
आप एक ...
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Starting a Career in Data Science 101, Learn About Jobs, Build Your Resume, Prepare for Interviews, and Get on Board!
Welcome to my introductory course on careers in data science!
Whether you ...
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Building your own Neural Network from Scratch with Python, Master how Machine Learning and Deep Learning algorithms and libraries work under the hood with practical examples.
Together we are going ...
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