All Projects → Sachin-Wani → NLP-Specialization

Sachin-Wani / NLP-Specialization

Licence: other
NLP Specialization (Natural Language Processing) made by deeplearning.ai

Programming Languages

Jupyter Notebook
11667 projects

Projects that are alternatives of or similar to NLP-Specialization

Coursera HTML-CSS-Javascript-for-Web-Developers
Solutions to the assignments of the Coursera course "HTML, CSS, and Javascript for Web Developers" by Johns Hopkins University.
Stars: ✭ 103 (+134.09%)
Mutual labels:  course, solutions, coursera
Google-IT-Automation-with-Python-Professional-Certificate
Crash course on python [Course 1 of 6 in the Google IT Automation with Python Specialization
Stars: ✭ 34 (-22.73%)
Mutual labels:  solutions, coursera, assignment-solutions
the-c-programming-language-2nd-edition-solutions
Solutions to the exercises in the book "The C Programming Language" (2nd edition) by Brian W. Kernighan and Dennis M. Ritchie. This book is also referred to as K&R.
Stars: ✭ 245 (+456.82%)
Mutual labels:  solutions, solution
codapps
A course to learn how to code a mobile app - for complete beginners
Stars: ✭ 14 (-68.18%)
Mutual labels:  course, coursera
Coursera-Crash-Course-on-Python
Part of Google IT Automation with Python Professional Certificate. Solutions of Practice Quiz and Module Graded Assessments
Stars: ✭ 118 (+168.18%)
Mutual labels:  solutions, coursera
Natural Language Processing Specialization
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
Stars: ✭ 151 (+243.18%)
Mutual labels:  course, coursera
coursera-gan-specialization
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Stars: ✭ 277 (+529.55%)
Mutual labels:  coursera, deeplearning-ai
dsge
Course on Dynamic Stochastic General Equilibrium (DSGE): Models, Solution, Estimation (graduate level)
Stars: ✭ 41 (-6.82%)
Mutual labels:  solutions, solution
Start Machine Learning In 2020
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
Stars: ✭ 357 (+711.36%)
Mutual labels:  course, coursera
start-machine-learning
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2022 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
Stars: ✭ 3,066 (+6868.18%)
Mutual labels:  course, coursera
coursera-machinelearning
Stanford University - Machine Learning by Andrew Ng
Stars: ✭ 82 (+86.36%)
Mutual labels:  coursera, deeplearning-ai
framework
Solu Framework is a full featured, ORM-backed, isomorphic framework using RPython, Pouch/CouchDB and React.
Stars: ✭ 20 (-54.55%)
Mutual labels:  solutions, solution
Go Videos Ru
Каталог докладов, лекций и других видеоматериалов по Go
Stars: ✭ 64 (+45.45%)
Mutual labels:  course, coursera
Coursera Natural Language Processing Specialization
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
Stars: ✭ 39 (-11.36%)
Mutual labels:  course, coursera
MLOps-Specialization-Notes
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
Stars: ✭ 143 (+225%)
Mutual labels:  course, coursera
Coursera-Machine-Learning-Andrew-NG
This is a repository of my coursera Machine Learning by Standford, Andrew NG course's assignments
Stars: ✭ 34 (-22.73%)
Mutual labels:  solutions, assignment
Google-Data-Analytics-Professional-Certificate
Quizzes & Assignment Solutions for Google Data Analytics Professional Certificate on Coursera. Also included a few resources on side that I found helpful.
Stars: ✭ 19 (-56.82%)
Mutual labels:  coursera, assignment-solutions
Course-Notes-Deep-Learning-by-Andrew-NG-on-Coursera
Hand Written course notes of Deep Learning Specialization by Andrew NG on Coursera
Stars: ✭ 23 (-47.73%)
Mutual labels:  course, coursera
data-science-learning
📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.
Stars: ✭ 32 (-27.27%)
Mutual labels:  coursera, deeplearning-ai
Coursera---Using-Python-to-Access-Web-Data
Here is All Weeks Assignment for Using Python to Access Web Data Course on Coursera
Stars: ✭ 36 (-18.18%)
Mutual labels:  course, coursera

NLP Specialization

NLP Specialization made by deeplearning.ai (Natural Language Processing Specialization)

This 4-course specialization is launched on June 17. Right now the repository contains files for Course 1, 2, and 3. The assignment files are already completed.

Further files of Course 4 will be uploaded when the courses go live.

Edits

Update 1: Course 3 materials added on (07/31/2020). More Week materials will be added by Aug 2.

Update 2: Course 3 final materials added on (08/02/2020). High size files can be downloaded by Coursera.

Update 3: C3_Wx_Assignment_original.ipynb files with no prefilled code are added in Course 3 by demand from Sun Trancks.

Update 4: For the launch of Course 4, I have decided only to upload the Assignment ipynb and the prefilled version of it. The additional resources (data/model/utils.py) can be acquired from Coursera.

Update 5: Course 4 content added on (09/23/2020) with only the assignment ipynb and prefilled ipynb.

Usage

Use the assignment files with prefilled code for reference only.

Disclaimer

The files uploaded were used during the Alpha Testing of the course. Chances are there might be changes in the new files. If there is any major change you'd like to address, you can mail me on Gmail or send a message on my LinkedIn Profile

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].