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classroom

GitHub Classroom automates repository creation and access control, making it easy for teachers to distribute starter code and collect assignments on GitHub.

convoluational_neural_net_utpal

This repository includes assignment and projects for the course Convoluational Neural Network which is a part of Deep Learning Specialization from Coursera. Notebook files includes how to deal with concepts of CNN without using any tool. Also, has Jupyter notebooks for object detection, Neural Style Transfer, Face detection. Keras framework has been used with Tensorflow beckend.

course_deep_learning_specialization_sequence_model

Includes projects and assignment from Sequence Model course from Deep Learning Specialization from Coursera.Includes works on how to build a RNN with only python function and without using any framework. Other projects such as LSTM concepts & implementation, Machine translation, trigger word detection, word vector representation etc

data_science_ibm_specialization

This repository includes assignment and project files for the IBM Data science specialization course. For most of the part, IBM Watson was used. Not all the notebooks may be here.

heroku

improving-deep-neural-net

Includes worksheets with concepts of how to improve the performance of a neural net.1. Various mthods of weights initialization.2. Gradient Checking procedure.3.Various Regularization methods implementation and effects.4.Jupyter notebooks for the assignments

machine_learning_stanford_andrew_ng

This is my first machine learning course. This repository includes works and assignments for the machine learning course from Stanford Online by instructor Andrew Ng. It has notebooks in MATLAB for various projects completed during the course. None of the notebooks utilizes any tool for completing the projects and the work has been done using MATLAB only.

mlops-on-gcp

neural_networks_and_deep_learningce-git

Includes notebooks on how to build a neural network only using python function and without any tools. Includes work sheets for object classification,Planar data classification,Logistic regression.

nlp_comp_vision_clustering_sklearn_projects

Includes Jupyter notebooks on some of my ML projects utilizing Sklearn, tensorflow, keras.These notebooks includes problems such as credit card fraud detection, digit recognization with clustering method, Stock market data analysis with KMeans clustering.Also, includes work on Natural Language Processing, Computer vision problems.

test_repo

This is a repository created for practicing for the Git lesson from edX CS50 course

tutorial

web_devp_flask_django_python_javascript

This repository has project developed with Python, Django, Flask, Javascript, HTML. These projects have been developed as part of assignment submission for HarvardX: CS50W CS50's Web Programming with Python and JavaScript Course." The notebooks here includes a few project such as building a chat application on Flask, A Pizza order portal using Django, website using HTML, CSS and a book review portal using APIs from Goodreads.com