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Add course for ML and NLP
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README.md

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@@ -92,17 +92,45 @@ Courses | Duration | Effort
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Complete Kaggle's Getting Started and Playground Competitions
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### Data Science Specialization
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Courses | Duration | Effort
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[Data Science Specialization](https://www.coursera.org/specializations/jhu-data-science)| - weeks | - hours/week
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### Convex Optimization
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[Convex Optimization](https://lagunita.stanford.edu/courses/Engineering/CVX101/Winter2014/about)| - weeks | 10 hours/week
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### Big Data
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[Data Science and Engineering with Apache Spark](https://www.edx.org/xseries/data-science-engineering-apache-spark)| - weeks | 10 hours/week
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### Database
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[Stanford's Database course](https://lagunita.stanford.edu/courses/DB/2014/SelfPaced/about)| - weeks | 8-12 hours/week
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### Data Mining
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[Data Mining Specialization](https://www.coursera.org/specializations/data-mining)| - weeks | 8-12 hours/week
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### Machine Learning
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[Learning From Data (Introductory Machine Learning)](https://www.edx.org/course/learning-data-introductory-machine-caltechx-cs1156x)| 10 weeks | 10-20 hours/week
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[Stanford's Machine Learning Course](https://www.coursera.org/learn/machine-learning)| - weeks | 8-12 hours/week
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[Machine Learning Specialization](https://www.coursera.org/specializations/machine-learning)| - weeks | 8-12 hours/week
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### Deep Learning
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### Data Visualization
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[Deep Learning](https://www.udacity.com/course/deep-learning--ud730)
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### Natural Language Processing
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[Natural Language Processing](https://www.coursera.org/course/nlangp)| 10 weeks | 8-10 hours/week
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### Capstone Project
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- Participate in Kaggle competetion
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- List down other ideas
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### Specializations
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