Data Science
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Performing Sentiment Analysis on Customer Reviews & Tweets, Learn how to perform sentiment analysis and emotion detection using TextBlob, NLTK, BERT, VADER, NRCLex, MultinomialNB.
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Natural Language Processing:Concept along with Case Study, Free Course: Natural Language Processing (NLP), Text Processing, Machine Learning, Spam Filter .
Course Description
This course ...
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Random Forest using R - Prediction of Employee Attrition, Learn Random Forest using R and Predict Employee Attrition using a case study.
Course Description
Random forest in Python offers an ...
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Univariate Time Series Analytics and Modeling with EViews, Learn EViews and Univariate Time Series Analytics and Modeling with EViews.
Course Description
Eviews – Univariate Time Series ...
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Bayesian Statistics and Machine Learning - A/B Testing, Apply Bayesian methods to A/B testing and also use adaptive algorithms to improve A/B testing performance.
Course Description
Machine ...
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Poisson Regression with SAS Stat, Learn Poisson Regression with SAS Stat.
Course Description
Poisson regression is based on the concept of Poisson distribution. It is another category belonging ...
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Logistic Regression using SPSS, Learn about a comprehensive framework of the right skills that you can master to be a successful Data Analyst.
Course Description
Logistic regression in SPSS is ...
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2023 Data Visualization in Tableau & Python (2 Courses in 1), Learn Data Visualization with Tableau & Python from the basic to advanced level using Real-Life Projects.
Course Description
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2024 Prompt Engineering: The 100% Power & Mastery, How to 100% Master Prompt Engineering in Less Than an 1 Hour.
Course Description
Are you ready to harness the limitless power of language ...
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Healthcare Data Security for Beginners, Introduction to Healthcare Data Security.
Course Description
By completing this course, you will learn about:
Data Security and Privacy, including ...
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Detect Fake News with Machine Learning & Feature Engineering, Learn how to build fake news detection model using machine learning, feature engineering, logistic regression, and NLP.
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