Pinned Repositories
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
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.
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
captain27pal's Repositories
captain27pal/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
captain27pal/classroom
GitHub Classroom automates repository creation and access control, making it easy for teachers to distribute starter code and collect assignments on GitHub.
captain27pal/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.
captain27pal/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
captain27pal/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.
captain27pal/heroku
captain27pal/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
captain27pal/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.
captain27pal/mlops-on-gcp
captain27pal/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.
captain27pal/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.
captain27pal/test_repo
This is a repository created for practicing for the Git lesson from edX CS50 course
captain27pal/Tutorial