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practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.text-analytics-with-python
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.hands-on-transfer-learning-with-python
Deep learning simplified by transferring prior learning using the Python deep learning ecosystemtensorflow2-crash-course
A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras APItraining-fine-tuning-large-language-models-workshop-dhs2024
This repository will contain all the presentations, content, hands-on notebooks for a full day Generative AI workshop on Training, Fine-tuning Large Language Models for the DataHack Summit 2024 conference.data_science_for_all
Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyonenlp_essentials
Essential and Fundametal aspects of Natural Language Processing with hands-on examples and case-studiesart_of_data_visualization
The art of effective visualization of multi-dimensional datanlp_workshop_odsc_europe20
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models.learning-social-media-analytics-with-r
This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by PacktBerkeleyX-CS100.1x-Big-Data-with-Apache-Spark
This repository contains code files specifically IPython notebooks for the assignments in the course "Introduction to Big Data with Apache Spark" by UC Berkeley and Databricks on edXadversarial-learning-robustness
Contains materials for workshops pertaining to adversarial robustness in deep learning.deep_transfer_learning_nlp_dhs2019
Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019nlp_crash_course_plugin20
Contains relevant notebooks for the hands-on NLP workshop for the Analytics India Magazine Plugin Conference -2020 Editionnlp_workshop_dhs18
Contains code and presentation for our full day workshop, 'Getting Started with Natural Language Processing'. This is created for the purpose of being presented in Analytics Vidhya's DataHack Summit 2018. Authors: Dipanjan Sarkar & Raghav Baliadv_nlp_workshop_odsc_europe22
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep transfer learning to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Clustering, Paraphrase Mining, Summarization, Language Translation, Q&A systemsconvolutional_neural_networks_essentials
Contains presentation deck and notebooks showcasing fundamental concepts and hands-on examples for Convolutional Neural Networksnlp_workshop_odsc19
Contains all tutorials and hands-on examples for the ODSC 2019 Workshoplive-manning-nlpconf20
Papers, code and slides for my session at the live@manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural Language Processingexplainable_artificial_intelligence
Slides, code and resources for model interpretation methods in machine learning and deep learningBerkeleyX-CS190.1x-Scalable-Machine-Learning
This repository contains code files specifically IPython notebooks for the assignments in the course "Scalable Machine Learning" by UC Berkeley and Databricks on edXfeature_engineering_session_dhs18
Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better Machine Learning Models' where we look at two interesting case studies on how to effectively leverage feature engineering and use a structured approach to build good machine learning models. This is created for the purpose of being presented in Analytics Vidhya's DataHack Summit 2018transformers_nlp_essentials
Contains slides and hands-on tutorials for understanding and implementing Transformers in Natural Language Processing. Uses the HuggingFace Transformers framework in the hands-on tutorials.practical_nlp_workshop_gids20
Contains relevant notebooks for the hands-on NLP workshop for the GIDS AIML Conference -2020 Editionlow_code_machine_learning_pycaret_workshop_2022
This workshop was done as a part of the 1729 conference organized by Fractal Analytics and Analytics Vidhya. Key content covered was hands-on notebooks leveraging PyCaret to compare, build, tune, evaluate and interpret machine learning modelsnlp_workshop_iisc19
Hands-on examples showcasing popular NLP applicationsadversarial_learning_tfug2020
Contains the slides and hands-on tutorials showcasing adversarial learning on convolutional neural networks to build robust vision modelstransfer-learning-in-action
This repository contains detailed tutorials and notebooks as an accompaniment to our new book 'Transfer Learning in Action' which will be a live work-in-progress with additions over time.stanford-statistical-learning
Slides, material and solutions of the popular Statistical Learning course from Stanford's own Hastie & Tibshirani. Join me on my journey to finally try and complete this course after leaving it mid-way atleast 3-4 times due to other commitments!MyShinyApps
Shiny is a web application framework for R. This repo contains all the web apps developed by me using R and Shiny.ml_model_deployment_example
A simple example to showcase machine learning model deployment with an APIDigital-image-steganography
This project successfully implements an encoder-decoder system where we can hide a secret image inside another image and retrieve it secretly later using the decoder only.flask-api-tutorials
This repository contains the RESTful APIs developed showing the capabilites of Flask and how to modularize the same code using some advanced features of Flaskadv_nlp_workshop_odsc_europe23
Extensive tutorials for the Advanced NLP Session in Open Data Science Conference Europe 2023. We will leverage deep transfer learning, notably transformers to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Clustering, Paraphrase Mining, Summarization, Language Translation, Q&A systemsstudent-information-system
This project has an entire template for managing students and related information pertaining to them in any University.deeplearning.ai-generative-ai-courses
This repository will contain all the exercises, tutorials and python jupyter notebooks for all the DeepLearning.AI courses on Generative AI, ChatGPT, LangChain, LLMs and moreonline-movie-booking
This project consist of a template which can be used for handling operations related to typical online movie booking websites.pyslate
This is a text translation library implemented in Python, it uses the Google Translate API for language detection and translation.text-analytics-python-improvements
This is a temporary repository for working on improvements for my book 'Text Analytics with Python'Temperature-Aware-Linux
A temperature-aware application for creating a temperature-aware variant of the linux OSduke-cloud-computing-for-data-coursera
Will contain all the necessary code examples for the Duke Cloud Computing Specialization on Courseraadv_nlp_workshop_odsc_apac2323
Extensive tutorials for the Advanced NLP Session in Open Data Science Conference APAC 2023. We will leverage deep transfer learning, notably transformers and LLMs like ChatGPT to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Summarization, Language Translation, Q&A systemsdipanjanS.github.io
My websitetag-me
The main objective was to design machine learning algorithms for tagging/classifying a collection of images.TweetSense
Sentiment analysis of live Twitter Streamrailway-reservation-system
This was one of my projects when i just started with Java so it obviously has a lot of bugs and scope for improvement. However it implements the working of a typical railway reservation systempracticalML-course-project
This detailed analysis has been performed to fulfill the requirements of the course project for the course Practical Machine Learning offered by the Johns Hopkins University on Courseradatasciencecoursera
This repo is specially created for all the work done my me as a part of Coursera's Data Science Specialization.gf
simple-chat-application
A simple application implemented in C, where a client can chat with the server and send messages to each other.dipanjanS
Profile Repodeep-learning-cloud-gpu-setup-guide
Learn how to start using deep learning frameworks leveraging python, jupyter notebooks in the cloud using GPUs with a ready-reference guidedataprod-project-pitch
Slidify presentation for Coursera's Developing Data Products course projectplay2048usingR
Now you can make the computer play the very popular game 2048 for you by using R!noaa-stormdatabase-analysis
Here, we will explore and analyse the U.S. National Oceanic and Atmospheric Administration's (NOAA) storm database.Love Open Source and this site? Check out how you can help us