Pinned Repositories
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Automated-Machine-Learning
All AutoML Libraries
BRAND-LOGOS-PREDICTION
The goal is to develop a model that can be used to recognise a brand by looking at its logo.
BSNN-for-option-pricing
The goal of this project is to create and train a neural network model that can imitate and generate the same outcomes as the famous black Scholes model for option pricing.
Complete-Feature-Selection
Coursera-Machine-Learning-Stanford
Machine learning-Stanford University
Excel-Tutorial
Image-Caption-Generator
A encoder decoder model is used for generating captions for any provided image. Pretrained Cnn model vgg16 is used for extracting image features while lstm is used to extract textual features .The features extracted are merged and passed to dense layers decoding the encodes into sequence of text.
Image-Segmentation-Defect-detection-in-steel-
This repository offers a comparison study of two image segmentation models: UNET And LINKNET The image segmentation use case here will be the kaggle-hosted severstal steel defect detection problem.
TABLEAU-ANALYIS-OF-SEATTLE-s-AIRBNB-s-
Created a Tableau dashboard for AIRBNB'S located in SEATTLE, USA for a basic usecase of determining which homes are profitable.
gourav19102's Repositories
gourav19102/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
gourav19102/Automated-Machine-Learning
All AutoML Libraries
gourav19102/BRAND-LOGOS-PREDICTION
The goal is to develop a model that can be used to recognise a brand by looking at its logo.
gourav19102/BSNN-for-option-pricing
The goal of this project is to create and train a neural network model that can imitate and generate the same outcomes as the famous black Scholes model for option pricing.
gourav19102/Complete-Feature-Selection
gourav19102/Coursera-Machine-Learning-Stanford
Machine learning-Stanford University
gourav19102/Excel-Tutorial
gourav19102/Image-Caption-Generator
A encoder decoder model is used for generating captions for any provided image. Pretrained Cnn model vgg16 is used for extracting image features while lstm is used to extract textual features .The features extracted are merged and passed to dense layers decoding the encodes into sequence of text.
gourav19102/Image-Segmentation-Defect-detection-in-steel-
This repository offers a comparison study of two image segmentation models: UNET And LINKNET The image segmentation use case here will be the kaggle-hosted severstal steel defect detection problem.
gourav19102/TABLEAU-ANALYIS-OF-SEATTLE-s-AIRBNB-s-
Created a Tableau dashboard for AIRBNB'S located in SEATTLE, USA for a basic usecase of determining which homes are profitable.
gourav19102/kaggle-solutions
KAGGLE SOLUTIONS
gourav19102/Problem-Solving-in-Data-Structures-Algorithms-using-Python
gourav19102/thakursab
Approaching (Almost) Any Machine Learning Problem