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manupillai308 / repository
This repository consists of jupyter notebooks and scripts used in the Youtube Series: Introduction to Digital Image Processing
This repository consists of jupyter notebooks and scripts used in the Youtube Series: Introduction to Digital Image Processing
DIP 1: https://www.youtube.com/watch?v=cYvbde_6oOQ
DIP 2: https://www.youtube.com/watch?v=Mar8f-UJcpA
DIP 3: https://www.youtube.com/watch?v=yOdpIp5euo0
DIP 4: https://www.youtube.com/watch?v=q5m-wLyaayA
DIP 5: https://www.youtube.com/watch?v=mbCqxnSpHCQ
Selected from shared topics, language and repository description—not editorial ratings.
ADVAIT135 /
This Repository consists of all the Jupyter Notebook (.ipynb) files, python files, excel sheets which are a part of the BCGX's Gen AI Virtual Job Simulation that is hosted on Forage.
ADVAIT135 /
This Repository consist of all the Jupyter Notebooks, Images and .CSV files of the tasks that were assigned during the Accenture Data Analytics Job Sim hosted on Forage
NatashiaKaurRaina /
This repository consists all the slide, jupyter notebooks, assignments and projects covered in my Introduction to Quantum Computing course on Youtube.
fazildgr8 /
This repository consists a set of Jupyter Notebooks with a different Deep Learning methods applied. Each notebook gives walkthrough from scratch to the end results visualization hierarchically. The Deep Learning methods include Multiperceptron layers, CNN, GAN, Autoencoders, Sequential and Non-Sequential deep learning models. The fields applied includes Image Classification, Time Series Prediction, Recommendation Systems , Anomaly Detection and Data Analysis.
HarshCasper /
This repository consists of the various Jupyter Notebooks that were written to perform analysis on the different Open-Source Datasets available on Health Parameters and different disease, namely: Breast Cancer, Diabetes Analysis, Heart Disease, Kidney Disease and Liver Disease.
mohd-faizy /
This Repository consist of some popular Machine Learning Algorithms and their implementation of both theory and code in Jupyter Notebooks