shubs202k

DigitalSignalProcessingPython

docker-react

Hyperspectral-Image-Classification-using-Deep-Learning

Hyperspectral Image Classification using Deep Neural Network Architectures with Transfer Learning

HyperSpectral_Images_Transfer_Learning

Image-Processing---Scikit-Learn

Leetcode_Solutions_2020

Natural-Language-Processing-with-Python

Data Cleaning methods such as Stemming,Lemmatizing and Vectorization . Machine Learning classification models such as Random Forest and Gradient Boosting to predict whether a email message is spam or not and then using GridSearchCV to evaluate these models.

NLP_with_BERT

NLP tasks with pre-trained BERT models

Sensor_Drift_Gas_Classification

Understanding the effect of sensor drift on classification of gases in a chemical laboratory using time series data

Web-Development-with-Python-and-Flask

Simple web applications with Python, Flask and Rest APIs

shubs202k/Hyperspectral-Image-Classification-using-Deep-Learning

Hyperspectral Image Classification using Deep Neural Network Architectures with Transfer Learning

shubs202k/Sensor_Drift_Gas_Classification

Understanding the effect of sensor drift on classification of gases in a chemical laboratory using time series data

shubs202k/DigitalSignalProcessingPython

shubs202k/docker-react

shubs202k/HyperSpectral_Images_Transfer_Learning

shubs202k/Image-Processing---Scikit-Learn

shubs202k/Leetcode_Solutions_2020

shubs202k/Natural-Language-Processing-with-Python

Data Cleaning methods such as Stemming,Lemmatizing and Vectorization . Machine Learning classification models such as Random Forest and Gradient Boosting to predict whether a email message is spam or not and then using GridSearchCV to evaluate these models.

shubs202k/NLP_with_BERT

NLP tasks with pre-trained BERT models

shubs202k/Web-Development-with-Python-and-Flask

Simple web applications with Python, Flask and Rest APIs

shubs202k/Leetcode_2019

Leetcode problem solutions done in 2019

shubs202k/Machine-Learning-A-Z

Machine Learning : Python Codes for different Machine Learning Algorithms.

shubs202k/NLP_Udemy

All NLP Codes from the NLP Udemy Course

shubs202k/Object_Oriented_Programming_with_Python

shubs202k/Pandas-Basics

Pandas fundamentals required for operating on datasets for machine learning

shubs202k/PySpark

Working with Spark DataFrames and Spark Machine Learning

shubs202k/Recommendation_Systems_Machine_Learning

This Repository contains different types of Recommendation Systems with Python.

shubs202k/Time_Series

This repository contains some of the approaches used in solving Kaggle's predict future sales challenge.