drashtysoni Goto Github PK

arcgan

Generative Adversarial Networks for 3D Architectural Image Generation

aws-guidance-for-beginners

The beginner's guide for AWS

building-basic-gan

We'll be using PyTorch for GANs.

collegefaculty

College Faculty Management System

credit-risk-prediction

Performing EDA and credit risk prediction using ML methods

cv-computer-vision-

Computer Vision Projects

data-visualization

Using Streamlit and Plotly

deeplearning.ai-natural-language-processing-specialization

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

ds-ml-dl

furnitureweb

ivy

The Unified Machine Learning Framework

learning-r-programming

R Programming with various packages

life-expectance-prediction

End-to-End Life Expectance Prediction Model with UI, Code and Deployment.

nlp

Natural Language Processing Beginner Guide

notes---graph-theory-and-applications

programming-for-data-science-in-r

Basic-Intermediate R

python-for-data-science-beginner-to-advaced-

It starts from core python to libraries like Numpy, Pandas, Matplotlib etc.

tensorflow-advanced-techniques

Understood the underlying basis of the Functional API and build exotic non-sequential model types, custom loss functions, and layers. Skills covered: Model Interpretability | Custom Training Loops | Custom and Exotic Models | Generative Machine Learning | Object Detection | Functional API | Custom Layers | Custom Loss Functions | Distribution Strategies | Basic Tensor Functionality | GradientTape for Optimization

twitter-scrapper

Advanced techniques to scrape user data efficiently